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Pegado R, Mendes Neto NN, Pacheco-Barrios K, Fregni F. Chikungunya crisis in the Americas: a comprehensive call for research and innovation. Lancet Reg Health Am 2024; 34:100758. [PMID: 38737774 PMCID: PMC11087988 DOI: 10.1016/j.lana.2024.100758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 04/16/2024] [Accepted: 04/22/2024] [Indexed: 05/14/2024]
Affiliation(s)
- Rodrigo Pegado
- Physical Therapy Department, Federal University of Rio Grande do Norte, Natal, RN, Brazil
- Neuromodulation Center, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Nilson N. Mendes Neto
- Neuromodulation Center, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Clinical Investigation, Harvard Medical School, United States
| | - Kevin Pacheco-Barrios
- Neuromodulation Center, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Felipe Fregni
- Neuromodulation Center, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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U, Wozniak S, Wu C, Wu D, Wu F, Wu Z, Xia J, Xiao H, Xu S, Xu X, Xu YY, Yadav MK, Yaghoubi S, Yamagishi K, Yang L, Yano Y, Yaribeygi H, Yasufuku Y, Ye P, Yesodharan R, Yesuf SA, Yezli S, Yi S, Yiğit A, Yigzaw ZA, Yin D, Yip P, Yismaw MB, Yon DK, Yonemoto N, You Y, Younis MZ, Yousefi Z, Yu C, Yu Y, Zadey S, Zadnik V, Zakham F, Zaki N, Zakzuk J, Zamagni G, Zaman SB, Zandieh GGZ, Zanghì A, Zar HJ, Zare I, Zarimeidani F, Zastrozhin MS, Zeng Y, Zhai C, Zhang AL, Zhang H, Zhang L, Zhang M, Zhang Y, Zhang Z, Zhang ZJ, Zhao H, Zhao JT, Zhao XJG, Zhao Y, Zhao Y, Zhong C, Zhou J, Zhou J, Zhou S, Zhu B, Zhu L, Zhu Z, Ziaeian B, Ziafati M, Zielińska M, Zimsen SRM, Zoghi G, Zoller T, Zumla A, Zyoud SH, Zyoud SH, Murray CJL, Gakidou E. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2162-2203. [PMID: 38762324 DOI: 10.1016/s0140-6736(24)00933-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. METHODS The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. FINDINGS Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). INTERPRETATION Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. FUNDING Bill & Melinda Gates Foundation.
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Pacheco-Barrios K, Teixeira PEP, Martinez-Magallanes D, Neto MS, Pichardo EA, Camargo L, Lima D, Cardenas-Rojas A, Fregni F. Brain compensatory mechanisms in depression and memory complaints in fibromyalgia: The role of theta oscillatory activity. Pain Med 2024:pnae030. [PMID: 38652585 DOI: 10.1093/pm/pnae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 03/17/2024] [Accepted: 03/21/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND The different clinical presentations of fibromyalgia (FMS) may play independent roles in the unclear etiology of cognitive impairments and depressive symptoms seen in this population. Understanding how these clinical presentations are associated with FMS's clinical and neurophysiological aspects is important when developing effective treatments. AIM To explore the relationship between memory complaints and depressive symptoms, and the different clinical and neurophysiological characteristics of FMS. METHODS Cross-sectional data analysis from a randomized clinical trial. Baseline demographics, physical fitness, sleep, anxiety, depression, cortical excitability, and pain (clinical and mechanistic) data from 63 FMS subjects were used. Multiple linear and logistic association models were constructed. RESULTS Final regression models including different sets of predictions were statistically significant (p < 0.001), explaining approximately 50% of the variability in cognitive complaints and depression status. Older subjects had higher levels of anxiety, poor sleep quality, lower motor threshold, and higher relative theta power in the central area, are more likely to have clinical depression. Higher anxiety, pain and theta power were associated with an increase memory complaint. CONCLUSION Depression symptoms seem to be associated with TMS-indexed motor threshold and psychosocial variables, while memory complaints are associated with pain intensity and higher theta oscillations. These mechanisms may be catalyzed and/or triggered by some behavioral and clinical features such as older age, sleep disruption, and anxiety. The correlation with clinical variables suggests the increasing of theta oscillations is a compensatory response in patients with FMS, which can be explored in future studies to improve the treatment for FMS.
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Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud. Lima, Peru
| | - Paulo E P Teixeira
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Daniela Martinez-Magallanes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Moacir Silva Neto
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
- Life Checkup-Medicina Esportiva Avançada
| | - Elly Angelica Pichardo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Lucas Camargo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Daniel Lima
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Alejandra Cardenas-Rojas
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
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MS, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kivimäki M, Kochhar S, Kolahi AA, Koly KN, Kompani F, Koroshetz WJ, Kosen S, Kourosh Arami M, Koyanagi A, Kravchenko MA, Krishan K, Krishnamoorthy V, Kuate Defo B, Kuddus MA, Kumar A, Kumar GA, Kumar M, Kumar N, Kumsa NB, Kundu S, Kurniasari MD, Kusuma D, Kuttikkattu A, Kyu HH, La Vecchia C, Ladan MA, Lahariya C, Laksono T, Lal DK, Lallukka T, Lám J, Lami FH, Landires I, Langguth B, Lasrado S, Latief K, Latifinaibin K, Lau KMM, Laurens MB, Lawal BK, Le LKD, Le TTT, Ledda C, Lee M, Lee SW, Lee SW, Lee WC, Lee YH, Leonardi M, Lerango TL, Li MC, Li W, Ligade VS, Lim SS, Linehan C, Liu C, Liu J, Liu W, Lo CH, Lo WD, Lobo SW, Logroscino G, Lopes G, Lopukhov PD, Lorenzovici L, Lorkowski S, Loureiro JA, Lubinda J, Lucchetti G, Lutzky Saute R, Ma ZF, Mabrok M, Machoy M, Madadizadeh F, Magdy Abd El Razek M, Maghazachi AA, Maghbouli N, Mahjoub S, Mahmoudi M, Majeed A, Malagón-Rojas JN, Malakan Rad E, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Manilal A, Mansouri V, Mansournia MA, Marasini BP, Marateb HR, Maroufi SF, Martinez-Raga J, Martini S, Martins-Melo FR, Martorell M, März W, Marzo RR, Massano J, Mathangasinghe Y, Mathews E, Maude RJ, Maugeri A, Maulik PK, Mayeli M, Mazaheri M, McAlinden C, McGrath JJ, Meena JK, Mehndiratta MM, Mendez-Lopez MAM, Mendoza W, Mendoza-Cano O, Menezes RG, Merati M, Meretoja A, Merkin A, Mersha AM, Mestrovic T, Mi T, Miazgowski T, Michalek IM, Mihretie ET, Minh LHN, Mirfakhraie R, Mirica A, Mirrakhimov EM, Mirzaei M, Misganaw A, Misra S, Mithra P, Mizana BA, Mohamadkhani A, Mohamed NS, Mohammadi E, Mohammadi H, Mohammadi S, Mohammadi S, Mohammadshahi M, Mohammed M, Mohammed S, Mohammed S, Mohan S, Mojiri-forushani H, Moka N, Mokdad AH, Molinaro S, Möller H, Monasta L, Moniruzzaman M, Montazeri F, Moradi M, Moradi Y, Moradi-Lakeh M, Moraga P, Morovatdar N, Morrison SD, Mosapour A, Mosser JF, Mossialos E, Motaghinejad M, Mousavi P, Mousavi SE, Mubarik S, Muccioli L, Mughal F, Mukoro GD, Mulita A, Mulita F, Musaigwa F, Mustafa A, Mustafa G, Muthu S, Nagarajan AJ, Naghavi P, Naik GR, Nainu F, Nair TS, Najmuldeen HHR, Nakhostin Ansari N, Nambi G, Namdar Areshtanab H, Nargus S, Nascimento BR, Naser AY, Nashwan AJJ, Nasoori H, Nasreldein A, Natto ZS, Nauman J, Nayak BP, Nazri-Panjaki A, Negaresh M, Negash H, Negoi I, Negoi RI, Negru SM, Nejadghaderi SA, Nematollahi MH, Nesbit OD, Newton CRJ, Nguyen DH, Nguyen HTH, Nguyen HQ, Nguyen NTT, Nguyen PT, Nguyen VT, Niazi RK, Nikolouzakis TK, Niranjan V, Nnyanzi LA, Noman EA, Noroozi N, Norrving B, Noubiap JJ, Nri-Ezedi CA, Ntaios G, Nuñez-Samudio V, Nurrika D, Oancea B, Odetokun IA, O'Donnell MJ, Ogunsakin RE, Oguta JO, Oh IH, Okati-Aliabad H, Okeke SR, Okekunle AP, Okonji OC, Okwute PG, Olagunju AT, Olaiya MT, Olana MD, Olatubi MI, Oliveira GMM, Olufadewa II, Olusanya BO, Omar Bali A, Ong S, Onwujekwe OE, Ordak M, Orji AU, Ortega-Altamirano DV, Osuagwu UL, Otstavnov N, Otstavnov SS, Ouyahia A, Owolabi MO, P A MP, Pacheco-Barrios K, Padubidri JR, Pal PK, Palange PN, Palladino C, Palladino R, Palma-Alvarez RF, Pan F, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandian JD, Pangaribuan HU, Pantazopoulos I, Pardhan S, Parija PP, Parikh RR, Park S, Parthasarathi A, Pashaei A, Patel J, Patil S, Patoulias D, Pawar S, Pedersini P, Pensato U, Pereira DM, Pereira J, Pereira MO, Peres MFP, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Pham HT, Phillips MR, Pinilla-Monsalve GD, Piradov MA, Plotnikov E, Poddighe D, Polat B, Poluru R, Pond CD, Poudel GR, Pouramini A, Pourbagher-Shahri AM, Pourfridoni M, Pourtaheri N, Prakash PY, Prakash S, Prakash V, Prates EJS, Pritchett N, Purnobasuki H, Qasim NH, Qattea I, Qian G, Radhakrishnan V, Raee P, Raeisi Shahraki H, Rafique I, Raggi A, Raghav PR, Rahati MM, Rahim F, Rahimi Z, Rahimifard M, Rahman MO, Rahman MHU, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmani Youshanlouei H, Rahmati M, Raj Moolambally S, Rajabpour-Sanati A, Ramadan H, Ramasamy SK, Ramasubramani P, Ramazanu S, Rancic N, Rao IR, Rao SJ, Rapaka D, Rashedi V, Rashid AM, Rashidi MM, Rashidi Alavijeh M, Rasouli-Saravani A, Rawaf S, Razo C, Redwan EMM, Rekabi Bana A, Remuzzi G, Rezaei N, Rezaei N, Rezaei N, Rezaeian M, Rhee TG, Riad A, Robinson SR, Rodrigues M, Rodriguez JAB, Roever L, Rogowski ELB, Romoli M, Ronfani L, Roy P, Roy Pramanik K, Rubagotti E, Ruiz MA, Russ TC, S Sunnerhagen K, Saad AMA, Saadatian Z, Saber K, SaberiKamarposhti M, Sacco S, Saddik B, Sadeghi E, Sadeghian S, Saeed U, Saeed U, Safdarian M, Safi SZ, Sagar R, Sagoe D, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahoo SS, Sahraian MA, Sajedi SA, Sakshaug JW, Saleh MA, Salehi Omran H, Salem MR, Salimi S, Samadi Kafil H, Samadzadeh S, Samargandy S, Samodra YL, Samuel VP, Samy AM, Sanadgol N, Sanjeev RK, Sanmarchi F, Santomauro DF, Santri IN, Santric-Milicevic MM, Saravanan A, Sarveazad A, Satpathy M, Saylan M, Sayyah M, Scarmeas N, Schlaich MP, Schuermans A, Schwarzinger M, Schwebel DC, Selvaraj S, Sendekie AK, Sengupta P, Senthilkumaran S, Serban D, Sergindo MT, Sethi Y, SeyedAlinaghi S, Seylani A, Shabani M, Shabany M, Shafie M, Shahabi S, Shahbandi A, Shahid S, Shahraki-Sanavi F, Shahsavari HR, Shahwan MJ, Shaikh MA, Shaji KS, Sham S, Shama ATT, Shamim MA, Shams-Beyranvand M, Shamsi MA, Shanawaz M, Sharath M, Sharfaei S, Sharifan A, Sharma M, Sharma R, Shashamo BB, Shayan M, Sheikhi RA, Shekhar S, Shen J, Shenoy SM, Shetty PH, Shiferaw DS, Shigematsu M, Shiri R, Shittu A, Shivakumar KM, Shokri F, Shool S, Shorofi SA, Shrestha S, Siankam Tankwanchi AB, Siddig EE, Sigfusdottir ID, Silva JP, Silva LMLR, Sinaei E, Singh BB, Singh G, Singh P, Singh S, Sirota SB, Sivakumar S, Sohag AAM, Solanki R, Soleimani H, Solikhah S, Solomon Y, Solomon Y, Song S, Song Y, Sotoudeh H, Spartalis M, Stark BA, Starnes JR, Starodubova AV, Stein DJ, Steiner TJ, Stovner LJ, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun J, Sunkersing D, Sunny A, Susianti H, Swain CK, Szeto MD, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabai S, Tabish M, Taheri M, Tahvildari A, Tajbakhsh A, Tampa M, Tamuzi JJLL, Tan KK, Tang H, Tareke M, Tarigan IU, Tat NY, Tat VY, Tavakoli Oliaee R, Tavangar SM, Tavasol A, Tefera YM, Tehrani-Banihashemi A, Temesgen WA, Temsah MH, Teramoto M, Tesfaye AH, Tesfaye EG, Tesler R, Thakali O, Thangaraju P, Thapa R, Thapar R, Thomas NK, Thrift AG, Ticoalu JHV, Tillawi T, Toghroli R, Tonelli M, Tovani-Palone MR, Traini E, Tran NM, Tran NH, Tran PV, Tromans SJ, Truelsen TC, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tualeka AR, Tufa DG, Ubah CS, Udoakang AJ, Ulhaq I, Umair M, Umakanthan S, Umapathi KK, Unim B, Unnikrishnan B, Vaithinathan AG, Vakilian A, Valadan Tahbaz S, Valizadeh R, Van den Eynde J, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Vellingiri B, Venketasubramanian N, Verras GI, Vervoort D, Villafañe JH, Villani L, Vinueza Veloz AF, Viskadourou M, Vladimirov SK, Vlassov V, Volovat SR, Vu LT, Vujcic IS, Wagaye B, Waheed Y, Wahood W, Walde MT, Wang F, Wang S, Wang Y, Wang YP, Waqas M, Waris A, Weerakoon KG, Weintraub RG, Weldemariam AH, Westerman R, Whisnant JL, Wickramasinghe DP, Wickramasinghe ND, Willekens B, Wilner LB, Winkler AS, Wolfe CDA, Wu AM, Wulf Hanson S, Xu S, Xu X, Yadollahpour A, Yaghoubi S, Yahya G, Yamagishi K, Yang L, Yano Y, Yao Y, Yehualashet SS, Yeshaneh A, Yesiltepe M, Yi S, Yiğit A, Yiğit V, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Yusuf H, Zadey S, Zahedi M, Zakham F, Zaki N, Zali A, Zamagni G, Zand R, Zandieh GGZ, Zangiabadian M, Zarghami A, Zastrozhin MS, Zeariya MGM, Zegeye ZB, Zeukeng F, Zhai C, Zhang C, Zhang H, Zhang Y, Zhang ZJ, Zhao H, Zhao Y, Zheng P, Zhou H, Zhu B, Zhumagaliuly A, Zielińska M, Zikarg YT, Zoladl M, Murray CJL, Ong KL, Feigin VL, Vos T, Dua T. Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol 2024; 23:344-381. [PMID: 38493795 PMCID: PMC10949203 DOI: 10.1016/s1474-4422(24)00038-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed. FUNDING Bill & Melinda Gates Foundation.
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Marques LM, Barbosa SP, Gianlorenço AC, Pacheco-Barrios K, Souza DR, Matheus D, Battistella L, Simis M, Fregni F. Resting-state EEG as Biomarker of Maladaptive Motor Function and Depressive Profile in Stroke Patients. Clin EEG Neurosci 2024:15500594241234394. [PMID: 38460956 DOI: 10.1177/15500594241234394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/11/2024]
Abstract
Objective: Investigate the relationship between resting-state EEG-measured brain oscillations and clinical and demographic measures in Stroke patients. Methods: We performed a cross-sectional analysis of a cohort study (DEFINE cohort), Stroke arm, with 85 patients, considering demographic, clinical, and stroke characteristics. Resting-state EEG relative power from delta, theta, alpha, and beta oscillations were measured from the central region. Multivariate regression models were used for both affected and non-affected hemispheres. Results: Motor function was negatively associated with Delta and Theta oscillations, while positively associated with Alpha oscillations (both hemispheres). Similarly, cognition levels measured were negatively associated with Delta activity. Depression levels were negatively associated with Alpha activity specifically in the affected hemisphere, while positively associated with Beta activity in both hemispheres. Regarding pain measures, no significant association was observed, while CPM measure showed a positive association with Alpha activity in the non-affected hemisphere. Finally, we found that theta/alpha ratio was negatively associated with motor function and CPM scores. Conclusion: The results lead us to propose a framework for brain oscillations in stroke, whereas Delta and Beta would represent disrupted mal-adaptive brain plasticity and Theta and Alpha would represent compensatory and functional brain oscillations for motor and sensory deficits in stroke, respectively.
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Affiliation(s)
- Lucas M Marques
- Mental Health Department, Santa Casa of Sao Paulo Medical Science School, São Paulo, SP, Brazil
| | - Sara Pinto Barbosa
- Instituto de Medicina Física e Reabilitação, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Anna Carolyna Gianlorenço
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation, Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - K Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation, Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Daniel R Souza
- Instituto de Medicina Física e Reabilitação, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Denise Matheus
- Instituto de Medicina Física e Reabilitação, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Linamara Battistella
- Instituto de Medicina Física e Reabilitação, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
- Departamento de Medicina Legal, Bioética, Medicina do Trabalho e Medicina Física e Reabilitação do da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brasil
| | - Marcel Simis
- Instituto de Medicina Física e Reabilitação, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
- Departamento de Medicina Legal, Bioética, Medicina do Trabalho e Medicina Física e Reabilitação do da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brasil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation, Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
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Pacheco-Barrios K, Gianlorenco AC, Camargo L, Andrade MF, Choi H, Song JJ, Fregni F. Transauricular Vagus Nerve Stimulation (taVNS) enhances Conditioned Pain Modulation (CPM) in healthy subjects: A randomized controlled trial. Brain Stimul 2024; 17:346-348. [PMID: 38453004 DOI: 10.1016/j.brs.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 03/04/2024] [Indexed: 03/09/2024] Open
Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.
| | - Anna Carolyna Gianlorenco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Department of Physical Therapy, Federal University of Sao Carlos, Sao Paulo, Brazil
| | - Lucas Camargo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Maria Fernanda Andrade
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Hyuk Choi
- Department of Medical Sciences, Graduate School of Medicine, Korea University, Seoul, Republic of Korea; Neurive Co., Ltd., Gimhae, Republic of Korea
| | - Jae-Jun Song
- Neurive Co., Ltd., Gimhae, Republic of Korea; Department of Otorhinolaryngology-Head and Neck Surgery, Korea University Medical Center, Seoul, Republic of Korea
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
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Shinzato GT, Assone T, Sandler PC, Pacheco-Barrios K, Fregni F, Radanovic M, Forlenza OV, Battistella LR. Non-invasive sound wave brain stimulation with Transcranial Pulse Stimulation (TPS) improves neuropsychiatric symptoms in Alzheimer's disease. Brain Stimul 2024; 17:413-415. [PMID: 38513821 DOI: 10.1016/j.brs.2024.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 03/04/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND This study explores Transcranial Pulse Stimulation (TPS) as a potential non-invasive treatment for Alzheimer's disease (AD), focusing on its impact on cognitive functions and behavioral symptoms. METHODS In a prospective, one-arm open-label trial, ten patients with mild to moderate dementia due to AD were assessed using the Alzheimer's Disease Assessment Scale (ADAS-Cog), Neuropsychiatric Inventory (NPI), Pfeffer Functional Activities Questionnaire, and Zarit Caregiver Burden Interview. Assessments occurred at 30- and 90-days post-treatment. The TPS protocol consisted of 10 sessions over five weeks, using the Neurolith® device to deliver 6000 focused shockwave pulses at 0.25 mJ/mm2 and a frequency of 4 Hz. RESULTS TPS significantly reduced neuropsychiatric symptoms, with NPI scores decreasing by 23.9 points (95% CI: -39.19 to -8.61, p = 0.0042) after 30 days, and by 18.9 points (95% CI: -33.49 to -2.91, p = 0.022) after 90 days. These changes had large effect sizes (Cohen's dz = 1.43 and dz = 0.94, respectively). A decreasing trend was observed in the ADAS-Cog score (-3.6, 95% CI: -7.18 to 0.00, p = 0.05) after 90 days, indicating a potential reduction in cognitive impairment, though not statistically significant. CONCLUSION The preliminary results indicate that TPS treatment leads to significant improvement in neuropsychiatric symptoms in AD patients, showing promise as a therapeutic approach for AD. Further research is needed to fully establish its effectiveness, especially concerning cognitive functions.
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Affiliation(s)
| | - Tatiane Assone
- Departamento de Medicina Legal, Bioética, Medicina do Trabalho e Medicina Física e Reabilitação, FMUSP, São Paulo, Brazil
| | - Paulo C Sandler
- Instituto de Medicina Física e Reabilitação (IMREA - HCFMUSP), São Paulo, Brazil
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru.
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Marcia Radanovic
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, HCFMUSP, São Paulo, Brazil
| | - Orestes Vicente Forlenza
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, HCFMUSP, São Paulo, Brazil
| | - Linamara Rizzo Battistella
- Instituto de Medicina Física e Reabilitação (IMREA - HCFMUSP), São Paulo, Brazil; Departamento de Medicina Legal, Bioética, Medicina do Trabalho e Medicina Física e Reabilitação, FMUSP, São Paulo, Brazil
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Wu AM, Cross M, Elliott JM, Culbreth GT, Haile LM, Steinmetz JD, Hagins H, Kopec JA, Brooks PM, Woolf AD, Kopansky-Giles DR, Walton DM, Treleaven JM, Dreinhoefer KE, Betteridge N, Abbasifard M, Abbasi-Kangevari Z, Addo IY, Adesina MA, Adnani QES, Aithala JP, Alhalaiqa FAN, Alimohamadi Y, Amiri S, Amu H, Antony B, Arabloo J, Aravkin AY, Asghari-Jafarabadi M, Atomsa GH, Azadnajafabad S, Azzam AY, Baghdadi S, Balogun SA, Balta AB, Banach M, Banakar M, Barrow A, Bashiri A, Bekele A, Bensenor IM, Bhardwaj P, Bhat AN, Bilchut AH, Briggs AM, Buchbinder R, Cao C, Chaurasia A, Chirinos-Caceres JL, Christensen SWM, Coberly K, Cousin E, Dadras O, Dai X, de Luca K, Dehghan A, Dong HJ, Ekholuenetale M, Elhadi M, Eshetu HB, Eskandarieh S, Etaee F, Fagbamigbe AF, Fares J, Fatehizadeh A, Feizkhah A, Ferreira ML, Ferreira N, Fischer F, Franklin RC, Ganesan B, Gebremichael MA, Gerema U, Gholami A, Ghozy S, Gill TK, Golechha M, Goleij P, Golinelli D, Graham SM, Haj-Mirzaian A, Harlianto NI, Hartvigsen J, Hasanian M, Hassen MB, Hay SI, Hebert JJ, Heidari G, Hoveidaei AH, Hsiao AK, Ibitoye SE, Iwu CCD, Jacob L, Janodia MD, Jin Y, Jonas JB, Joshua CE, Kandel H, Khader YS, Khajuria H, Khan EA, Khan MAB, Khatatbeh MM, Khateri S, Khayat Kashani HR, Khonji MS, Khubchandani J, Kim YJ, Kisa A, Kolahi AA, Koohestani HR, Krishan K, Kuddus M, Kuttikkattu A, Lasrado S, Lee YH, Legesse SM, Lim SS, Liu X, Lo J, Malih N, Manandhar SP, Mathews E, Mesregah MK, Mestrovic T, Miller TR, Mirghaderi SP, Misganaw A, Mohammadi E, Mohammed S, Mokdad AH, Momtazmanesh S, Moni MA, Mostafavi E, Murray CJL, Nair TS, Nejadghaderi SA, Nzoputam OJ, Oh IH, Okonji OC, Owolabi MO, Pacheco-Barrios K, Pahlevan Fallahy MT, Park S, Patel J, Pawar S, Pedersini P, Peres MFP, Petcu IR, Pourahmadi M, Qattea I, Ram P, Rashidi MM, Rawaf S, Rezaei N, Rezaei N, Saeed U, Saheb Sharif-Askari F, Salahi S, Sawhney M, Schumacher AE, Shafie M, Shahabi S, Shahbandi A, Shamekh A, Sharma S, Shiri R, Shobeiri P, Sinaei E, Singh A, Singh JA, Singh P, Skryabina AA, Smith AE, Tabish M, Tan KK, Tegegne MD, Tharwat S, Vahabi SM, Valadan Tahbaz S, Vasankari TJ, Venketasubramanian N, Vollset SE, Wang YP, Wiangkham T, Yonemoto N, Zangiabadian M, Zare I, Zemedikun DT, Zheng P, Ong KL, Vos T, March LM. Global, regional, and national burden of neck pain, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatol 2024; 6:e142-e155. [PMID: 38383088 PMCID: PMC10897950 DOI: 10.1016/s2665-9913(23)00321-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 11/16/2023] [Accepted: 11/22/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND Neck pain is a highly prevalent condition that leads to considerable pain, disability, and economic cost. We present the most current estimates of neck pain prevalence and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) by age, sex, and location, with forecasted prevalence to 2050. METHODS Systematic reviews identified population-representative surveys used to estimate the prevalence of and YLDs from neck pain in 204 countries and territories, spanning from 1990 to 2020, with additional data from opportunistic review. Medical claims data from Taiwan (province of China) were also included. Input data were pooled using DisMod-MR 2.1, a Bayesian meta-regression tool. Prevalence was forecast to 2050 using a mixed-effects model using Socio-demographic Index as a predictor and multiplying by projected population estimates. We present 95% UIs for every metric based on the 2·5th and 97·5th percentiles of 100 draws of the posterior distribution. FINDINGS Globally, in 2020, neck pain affected 203 million (95% uncertainty interval [UI] 163-253) people. The global age-standardised prevalence rate of neck pain was estimated to be 2450 (1960-3040) per 100 000 population and global age-standardised YLD rate was estimated to be 244 (165-346) per 100 000. The age-standardised prevalence rate remained stable between 1990 and 2020 (percentage change 0·2% [-1·3 to 1·7]). Globally, females had a higher age-standardised prevalence rate (2890 [2330-3620] per 100 000) than males (2000 [1600-2480] per 100 000), with the prevalence peaking between 45 years and 74 years in male and female sexes. By 2050, the estimated global number of neck pain cases is projected to be 269 million (219-322), with an increase of 32·5% (23·9-42·3) from 2020 to 2050. Decomposition analysis of the projections showed population growth was the primary contributing factor, followed by population ageing. INTERPRETATION Although age-standardised rates of neck pain have remained stable over the past three decades, by 2050 the projected case numbers are expected to rise. With the highest prevalence in older adults (higher in females than males), a larger effect expected in low-income and middle-income countries, and a rapidly ageing global population, neck pain continues to pose a challenge in terms of disability burden worldwide. For future planning, it is essential we improve our mechanistic understanding of the different causes and risk factors for neck pain and prioritise the consistent collection of global neck pain data and increase the number of countries with data on neck pain. FUNDING Bill & Melinda Gates Foundation and Global Alliance for Musculoskeletal Health.
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Pacheco-Barrios K, Martinez-Magallanes D, Naqui CX, Daibes M, Pichardo E, Cardenas-Rojas A, Crandell D, Dua A, Datta A, Caumo W, Fregni F. Using Home-based, Remotely Supervised, Transcranial Direct Current Stimulation for Phantom Limb Pain. J Vis Exp 2024. [PMID: 38497620 DOI: 10.3791/66006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024] Open
Abstract
Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation technique that uses low-amplitude direct currents to alter cortical excitability. Previous trials have established the safety and tolerability of tDCS, and its potential to mitigate symptoms. However, the effects are cumulative, making it more difficult to have adherence to the treatment since frequent visits to the clinic or outpatient center are required. Moreover, the time needed for transportation to the center and the related expenses limit the accessibility of the treatment for many participants. Following guidelines for remotely supervised transcranial direct current stimulation (RS-tDCS) implementation, we propose a protocol designed for remotely supervised and home-based participation that uses specific devices and materials modified for patient use, with real-time monitoring by researchers through an encrypted video conferencing platform. We have developed detailed instructional materials and structured training procedures to allow for self- or proxy-administration while supervised remotely in real time. This protocol has a specific design to have a series of checkpoints during training and execution of the visit. This protocol is currently in use in a large pragmatic study of RS-tDCS for phantom limb pain (PLP). In this article, we will discuss the operational challenges of conducting a home-based RS-tDCS session and show methods to enhance its efficacy with supervised sessions.
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Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School; Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola
| | - Daniela Martinez-Magallanes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School
| | - Cristina Xicota Naqui
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School; Nursing Department, Universitat Internacional de Catalunya
| | - Marianna Daibes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School
| | - Elly Pichardo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School
| | - Alejandra Cardenas-Rojas
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School
| | - David Crandell
- Spaulding Rehabilitation Hospital, Harvard Medical School
| | - Anahita Dua
- Division of Vascular and Endovascular Surgery, Massachusetts General Hospital, Harvard Medical School
| | - Abhishek Datta
- Research and Development, Soterix Medical; City College of New York
| | - Wolnei Caumo
- Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS); Laboratory of Pain & Neuromodulation, Hospital de Clinicas de Porto Alegre (HCPA); Pain and Palliative Care Service, Hospital de Clinicas de Porto Alegre (HCPA)
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School;
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Costa V, Gianlorenço AC, Pacheco-Barrios K, Fregni F. Brain-heart interactions in fibromyalgia syndrome. Princ Pract Clin Res 2024; 9:1-4. [PMID: 38434480 PMCID: PMC10906947 DOI: 10.21801/ppcrj.2023.94.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Affiliation(s)
- Valton Costa
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Laboratory of Neuroscience and Neurological Rehabilitation, Physical Therapy Department, Federal University of Sao Carlos, Sao Carlos, SP, Brazil
| | - Anna Carolyna Gianlorenço
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Laboratory of Neuroscience and Neurological Rehabilitation, Physical Therapy Department, Federal University of Sao Carlos, Sao Carlos, SP, Brazil
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Simis M, Marques LM, Barbosa SP, Sugawara AT, Sato JR, Pacheco-Barrios K, Battistella LR, Fregni F. Distinct patterns of metabolic motor cortex activity for phantom and residual limb pain in people with amputations: A functional near-infrared spectroscopy study. Neurophysiol Clin 2024; 54:102939. [PMID: 38382136 DOI: 10.1016/j.neucli.2023.102939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 12/19/2023] [Accepted: 12/19/2023] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Phantom pain limb (PLP) has gained more attention due to the large number of people with amputations around the world and growing knowledge of the pain process, although its mechanisms are not completely understood. OBJECTIVES The aim of this study was to understand, in patients with amputations, the association between PLP and residual limb pain (RLP), and the brain metabolic response in cortical motor circuits, using functional near-infrared spectroscopy (fNIRS). METHODS Sixty participants were recruited from the rehabilitation program in São Paulo, Brazil. Included patients were aged over 18 years, with traumatic unilateral lower-limb amputation, with PLP for at least 3 months after full recovery from amputation surgery. PLP and RLP levels were measured using visual analogue scales. fNIRS was performed during motor execution and motor mirror tasks for 20 s. In order to highlight possible variables related to variation in pain measures, univariate linear regression analyses were performed for both experimental conditions, resulting in four fNIRS variables (two hemispheres x two experimental conditions). Later, in order to test the topographic specificity of the models, eight multivariate regression analyses were performed (two pain scales x two experimental conditions x two hemispheres), including the primary motor cortex (PMC) related channel as an independent variable as well as five other channels related to the premotor area, supplementary area, and somatosensory cortex. All models were controlled for age, sex, ethnicity, and education. RESULTS We found that: i) there is an asymmetric metabolic activation during motor execution and mirror task between hemispheres (with a predominance that is ipsilateral to the amputated limb), ii) increased metabolic response in the PMC ipsilateral to the amputation is associated with increased PLP (during both experimental tasks), while increased metabolic response in the contralateral PMC is associated with increased RLP (during the mirror motor task only); ii) increased metabolic activity of the ipsilateral premotor region is associated with increased PLP during the motor mirror task; iii) RLP was only associated with higher metabolic activity in the contralateral PMC and lower metabolic activity in the ipsilateral inferior frontal region during motor mirror task, but PLP was associated with higher metabolic activity during both tasks. CONCLUSION These results suggest there is both task and region specificity for the association between the brain metabolic response and the two different types of post-amputation pain. The metabolic predominance that is ipsilateral to the amputated limb during both tasks was associated with higher levels of PLP, suggesting a cortical motor network activity imbalance due to potential interhemispheric compensatory mechanisms. The present work contributes to the understanding of the underlying topographical patterns in the motor-related circuits associated with pain after amputations.
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Affiliation(s)
- Marcel Simis
- Instituto de Medicina Fisica e Reabilitacao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, SP, Brasil; Departamento de Medicina Legal, Bioética, Medicina do Trabalho e Medicina Física e Reabilitação, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil
| | - Lucas Murrins Marques
- Instituto de Medicina Fisica e Reabilitacao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, SP, Brasil
| | - Sara Pinto Barbosa
- Instituto de Medicina Fisica e Reabilitacao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, SP, Brasil
| | - André Tadeu Sugawara
- Instituto de Medicina Fisica e Reabilitacao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, SP, Brasil
| | - João Ricardo Sato
- Interdisciplinary Unit for Applied Neuroscience (NINA), Universidade Federal do ABC (UFABC), São Bernardo do Campo, Brazil; Center for Mathematics, Computing and Cognition (CMCC), Universidade Federal do ABC (UFABC), São Bernardo do Campo, Brazil
| | - Kevin Pacheco-Barrios
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru; Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Linamara Rizzo Battistella
- Instituto de Medicina Fisica e Reabilitacao, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, SP, Brasil; Departamento de Medicina Legal, Bioética, Medicina do Trabalho e Medicina Física e Reabilitação, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brasil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA.
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Imamura M, Rebello-Sanchez I, Parente J, Marduy A, Vasquez-Avila K, Pacheco-Barrios K, Castelo-Branco L, Simis M, Battistella L, Fregni F. Factors associated with pain pressure threshold in both local and remote sites in knee osteoarthritis. PM R 2024; 16:132-140. [PMID: 37455395 DOI: 10.1002/pmrj.13038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 06/07/2023] [Accepted: 06/16/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Knee osteoarthritis (KOA) is a prevalent condition, and its most frequent symptom is pain that often leads to disability. Pain sensitization is a core feature of KOA, and it can be measured through quantitative sensory testing protocols such as pain pressure threshold (PPT). However, there is a lack of understanding about the factors that may influence changes in PPTs in the KOA population. OBJECTIVE To explore the clinical and functional factors associated with PPTs in a sample of people with chronic KOA pain and to compare models of local (knees) and remote (thenar regions) sites. DESIGN Cross-sectional analysis of a prospective cohort. SETTING Primary care in public institution. PARTICIPANTS 113 adults with KOA. INTERVENTION N/A. MAIN OUTCOME MEASURES Multivariable regression analyses evaluating demographic, clinical, and functional variables that could be associated with local and remote PPTs (main outcomes) were performed. RESULTS Both thenar region (adjusted-R2 : 0.29) and knee (adjusted-R2 : 0.45) models had the same significant negative association with being a female, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain levels (thenar: β: -0.15, p = .002; knee: β: -0.2, p < .001), and the 10-Meter Walking Test (thenar: β: -0.05, p = .038; knee: β: -0.08, p = .004). A small significant positive association with depressive symptoms was identified in both models, which acted as a confounder for WOMAC pain and was likely affected by unmeasured confounders. CONCLUSIONS PPTs in KOA pain are associated with functional outcomes such as the 10-Meter Walking Test and activity-related pain intensity; thus more disability is associated with smaller pain thresholds. Similarity between models may suggest central sensitization.
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Affiliation(s)
- Marta Imamura
- Faculdade de Medicina, Hospital das Clínicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Ingrid Rebello-Sanchez
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Joao Parente
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Anna Marduy
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Karen Vasquez-Avila
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Unidad de Investigación para la Generación y Síntesis de Evidencia en Salud, Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Lima, Peru
| | - Luis Castelo-Branco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Marcel Simis
- Faculdade de Medicina, Hospital das Clínicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Linamara Battistella
- Faculdade de Medicina, Hospital das Clínicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Tangjade A, Suputtitada A, Pacheco-Barrios K, Fregni F. Non-invasive neuromodulation combined with rehabilitation therapy improves balance and gait speed in patients with stroke: A Systematic Review and Network Meta-analysis. Am J Phys Med Rehabil 2024:00002060-990000000-00407. [PMID: 38363653 DOI: 10.1097/phm.0000000000002439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
OBJECTIVE This study aimed to determine repetitive transcranial magnetic stimulation [rTMS], transcranial direct current stimulation [tDCS], and cranial nerve noninvasive neuromodulation [CN-NINM] affect functional balance, gait speed, and walking cadence in stroke patients. METHODS We searched PUBMED, EMBASE, COCHRANE, and SCOPUS (June 22, 2022) for randomized controlled trials. Three reviewers independently performed data extraction and assessed the risk of bias. Network and pair-wise meta-analyses were performed to assess indirect and direct comparisons. RESULTS We included 34 studies (n = 915 patients). Sixty percent had moderate-to-high methodological quality. The meta-analyses showed positive effects of rTMS combined with rehabilitation therapy compared to sham on gait speed, walking cadence, and balance function with weighted mean differences and 95% confidence interval of 0.08, [0.03-0.13]; 7.16, [3.217-11.103]; and 3.05, [0.52-5.57], respectively. tDCS showed improvement on the time up and go (TUG) test (-0.88, [-1.68--0.08]). From the SUCRA analyses, rTMS is the best ranked treatment for gait speed and functional balance improvement compared to tDCS and sham interventions. There were not enough studies to include CN-NINM in the meta-analysis. CONCLUSIONS Walking cadence and speed, functional balance significantly improved after rTMS with short-term effects, which were superior to that of tDCS and sham treatments. tDCS showed short-term beneficial effects on the TUG test.
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Santero M, Song Y, Beltran J, Medina-Aedo M, Canelo-Aybar C, Valli C, Rocha C, León-García M, Salas-Gama K, Kaloteraki C, Niño de Guzmán E, Ballester M, González-González AI, Poortvliet R, van der Gaag M, Spoiala C, Gurung P, Willemen F, Cools I, Bleeker J, Kancheva A, Ertl J, Laure T, Kancheva I, Pacheco-Barrios K, Zafra-Tanaka JH, Tsokani S, Veroniki AA, Seitidis G, Christogiannis C, Kontouli KM, Groene O, Sunol R, Orrego C, Heijmans M, Alonso-Coello P. Effectiveness and Cost-Effectiveness of Self-Management Interventions for Adults Living with Heart Failure to Improve Patient-Important Outcomes: An Evidence Map of Randomized Controlled Trials. Healthcare (Basel) 2024; 12:302. [PMID: 38338187 PMCID: PMC10855227 DOI: 10.3390/healthcare12030302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/05/2024] [Accepted: 01/11/2024] [Indexed: 02/12/2024] Open
Abstract
Self-management interventions (SMIs) may enhance heart failure (HF) outcomes and address challenges associated with disease management. This study aims to review randomized evidence and identify knowledge gaps in SMIs for adult HF patients. Within the COMPAR-EU project, from 2010 to 2018, we conducted searches in the databases MEDLINE, CINAHL, Embase, Cochrane, and PsycINFO. We performed a descriptive analysis using predefined categories and developed an evidence map of randomized controlled trials (RCTs). We found 282 RCTs examining SMIs for HF patients, comparing two to four interventions, primarily targeting individual patients (97%) globally (34 countries, only 31% from an European country). These interventions involved support techniques such as information sharing (95%) and self-monitoring (62%), often through a mix of in-person and remote sessions (43%). Commonly assessed outcomes included quality of life, hospital admissions, mortality, exercise capacity, and self-efficacy. Few studies have focused on lower socio-economic or minority groups. Nurses (68%) and physicians (30%) were the primary providers, and most studies were at low risk of bias in generating a random sequence for participant allocation; however, the reporting was noticeably unclear of methods used to conceal the allocation process. Our analysis has revealed prevalent support techniques and delivery methods while highlighting methodological challenges. These findings provide valuable insights for researchers, clinicians, and policymakers striving to optimize SMIs for individuals living with HF.
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Affiliation(s)
- Marilina Santero
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Yang Song
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Jessica Beltran
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Melixa Medina-Aedo
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Carlos Canelo-Aybar
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Claudia Valli
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain (R.S.)
| | - Claudio Rocha
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Montserrat León-García
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Karla Salas-Gama
- Quality, Process and Innovation Direction, Vall d’Hebron Hospital Universitari, 08035 Barcelona, Spain
| | - Chrysoula Kaloteraki
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Ena Niño de Guzmán
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
| | - Marta Ballester
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain (R.S.)
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 08007 Barcelona, Spain
| | | | - Rune Poortvliet
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Marieke van der Gaag
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Cristina Spoiala
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Pema Gurung
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Fabienne Willemen
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Iza Cools
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Julia Bleeker
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Angelina Kancheva
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Julia Ertl
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Tajda Laure
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Ivana Kancheva
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Kevin Pacheco-Barrios
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain (R.S.)
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
| | - Jessica Hanae Zafra-Tanaka
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain (R.S.)
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
| | - Sofia Tsokani
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece
| | - Areti Angeliki Veroniki
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B 1W8, Canada;
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON M5S 3G8, Canada
| | - Georgios Seitidis
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece
| | - Christos Christogiannis
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece
| | - Katerina Maria Kontouli
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece
| | - Oliver Groene
- OptiMedis, 20095 Hamburg, Germany
- Faculty of Management, Economics and Society, University of Witten/Herdecke, 58455 Witten, Germany
| | - Rosa Sunol
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain (R.S.)
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
| | - Carola Orrego
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain (R.S.)
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 08007 Barcelona, Spain
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
| | - Monique Heijmans
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (R.P.); (A.K.); (I.K.); (M.H.)
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain; (M.S.); (M.M.-A.); (C.C.-A.); (C.V.); (M.L.-G.)
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Gianlorenco AC, Pacheco-Barrios K, Camargo L, Pichardo E, Choi H, Song JJ, Fregni F. Understanding the Effects of Non-Invasive Transauricular Vagus Nerve Stimulation On EEG and HRV. J Vis Exp 2024. [PMID: 38314847 DOI: 10.3791/66309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024] Open
Abstract
Several studies have demonstrated promising results of transcutaneous auricular vagus nerve stimulation (taVNS) in treating various disorders; however, no mechanistic studies have investigated this technique's neural network and autonomic nervous system effects. This study aims to describe how taVNS can affect EEG metrics, HRV, and pain levels. Healthy subjects were randomly allocated into two groups: the active taVNS group and the sham taVNS group. Electroencephalography (EEG) and Heart Rate Variability (HRV) were recorded at baseline, 30 min, and after 60 min of 30 Hz, 200-250 µs taVNS, or sham stimulation, and the differences between the metrics were calculated. Regarding vagal projections, some studies have demonstrated the role of the vagus nerve in modulating brain activity, the autonomic system, and pain pathways. However, more data is still needed to understand the mechanisms of taVNS on these systems. In this context, this study presents methods to provide data for a deeper discussion about the physiological impacts of this technique, which can help future therapeutic investigations in various conditions.
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Affiliation(s)
- Anna Carolyna Gianlorenco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School; Physical Therapy Department, Federal University of Sao Carlos
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School; Vicerrectorado de Investigación, Universidad de Investigación para la Generación y Síntesis de Evidencia en Salud, Universidad San Ignacio de Loyola
| | - Lucas Camargo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School
| | - Elly Pichardo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School
| | - Hyuk Choi
- Department of Medical Sciences, Graduate School of Medicine, Korea University; Neurive Co., Ltd
| | - Jae-Jun Song
- Neurive Co., Ltd.; Department of Otorhinolaryngology-Head and Neck Surgery, Korea University Medical Center
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School;
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16
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Pacheco-Barrios K, Gianlorenco AC, Camargo L, Dodurgali MR, Tangjade A, Fregni F. Accelerating the development of noninvasive brain stimulation devices: using design thinking to facilitate its clinical use and acceptance. Expert Rev Neurother 2024; 24:5-9. [PMID: 38149610 PMCID: PMC10983014 DOI: 10.1080/14737175.2023.2292733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/05/2023] [Indexed: 12/28/2023]
Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
| | - Anna Carolyna Gianlorenco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Physical Therapy, Federal University of Sao Carlos, Sao Carlos, Brazil
| | - Lucas Camargo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mustafa Reha Dodurgali
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Anamon Tangjade
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Rehabilitation Medicine, Vajira hospital, Navamindradhiraj University, Bangkok, Thailand
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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17
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Dekel S, Papadakis JE, Quagliarini B, Pham CT, Pacheco-Barrios K, Hughes F, Jagodnik KM, Nandru R. Preventing posttraumatic stress disorder following childbirth: a systematic review and meta-analysis. Am J Obstet Gynecol 2023:S0002-9378(23)02137-3. [PMID: 38122842 DOI: 10.1016/j.ajog.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 12/07/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE Women can develop posttraumatic stress disorder in response to experienced or perceived traumatic, often medically complicated, childbirth; the prevalence of these events remains high in the United States. Currently, no recommended treatment exists in routine care to prevent or mitigate maternal childbirth-related posttraumatic stress disorder. We conducted a systematic review and meta-analysis of clinical trials that evaluated any therapy to prevent or treat childbirth-related posttraumatic stress disorder. DATA SOURCES PsycInfo, PsycArticles, PubMed (MEDLINE), ClinicalTrials.gov, CINAHL, ProQuest, Sociological Abstracts, Google Scholar, Embase, Web of Science, ScienceDirect, Scopus, and the Cochrane Central Register of Controlled Trials were searched for eligible trials published through September 2023. STUDY ELIGIBILITY CRITERIA Trials were included if they were interventional, if they evaluated any therapy for childbirth-related posttraumatic stress disorder for the indication of symptoms or before posttraumatic stress disorder onset, and if they were written in English. METHODS Independent coders extracted the sample characteristics and intervention information of the eligible studies and evaluated the trials using the Downs and Black's quality checklist and Cochrane's method for risk of bias evaluation. RESULTS A total of 41 studies (32 randomized controlled trials, 9 nonrandomized trials) were reviewed. They evaluated brief psychological therapies including debriefing, trauma-focused therapies (including cognitive behavioral therapy and expressive writing), memory consolidation and reconsolidation blockage, mother-infant-focused therapies, and educational interventions. The trials targeted secondary preventions aimed at buffering childbirth-related posttraumatic stress disorder usually after traumatic childbirth (n=24), tertiary preventions among women with probable childbirth-related posttraumatic stress disorder (n=14), and primary prevention during pregnancy (n=3). A meta-analysis of the combined randomized secondary preventions showed moderate effects in reducing childbirth-related posttraumatic stress disorder symptoms when compared with usual treatment (standardized mean difference, -0.67; 95% confidence interval, -0.92 to -0.42). Single-session therapy within 96 hours of birth was helpful (standardized mean difference, -0.55). Brief, structured, trauma-focused therapies and semi-structured, midwife-led, dialogue-based psychological counseling showed the largest effects (standardized mean difference, -0.95 and -0.91, respectively). Other treatment approaches (eg, the Tetris game, mindfulness, mother-infant-focused treatment) warrant more research. Tertiary preventions produced smaller effects than secondary prevention but are potentially clinically meaningful (standardized mean difference, -0.37; -0.60 to -0.14). Antepartum educational approaches may help, but insufficient empirical evidence exists. CONCLUSION Brief trauma-focused and non-trauma-focused psychological therapies delivered early in the period following traumatic childbirth offer a critical and feasible opportunity to buffer the symptoms of childbirth-related posttraumatic stress disorder. Future research that integrates diagnostic and biologic measures can inform treatment use and the mechanisms at work.
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Affiliation(s)
- Sharon Dekel
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
| | - Joanna E Papadakis
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Beatrice Quagliarini
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Christina T Pham
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA; Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Francine Hughes
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Kathleen M Jagodnik
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Rasvitha Nandru
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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18
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Song Y, Beltran Puerta J, Medina-Aedo M, Canelo-Aybar C, Valli C, Ballester M, Rocha C, Garcia ML, Salas-Gama K, Kaloteraki C, Santero M, Niño de Guzmán E, Spoiala C, Gurung P, Willemen F, Cools I, Bleeker J, Poortvliet R, Laure T, van der Gaag M, Pacheco-Barrios K, Zafra-Tanaka J, Mavridis D, Angeliki Veroniki A, Zevgiti S, Seitidis G, Alonso-Coello P, Groene O, González-González AI, Sunol R, Orrego C, Heijmans M. Self-Management Interventions for Adults Living with Type II Diabetes to Improve Patient-Important Outcomes: An Evidence Map. Healthcare (Basel) 2023; 11:3156. [PMID: 38132046 PMCID: PMC10742682 DOI: 10.3390/healthcare11243156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/03/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023] Open
Abstract
Self-management interventions (SMIs) may be promising in the treatment of Diabetes Mellitus Type 2 (T2DM). However, accurate comparisons of their relative effectiveness are challenging, partly due to a lack of clarity and detail regarding the intervention content being evaluated. This study summarizes intervention components and characteristics in randomized controlled trials (RCTs) related to T2DM using a taxonomy for SMIs as a framework and identifies components that are insufficiently incorporated into the design of the intervention or insufficiently reported. Following evidence mapping methodology, we searched MEDLINE, CINAHL, Embase, Cochrane, and PsycINFO from 2010 to 2018 for randomized controlled trials (RCTs) on SMIs for T2DM. We used the terms 'self-management', 'adult' and 'T2DM' for content. For data extraction, we used an online platform based on the taxonomy for SMIs. Two independent reviewers assessed eligible references; one reviewer extracted data, and a second checked accuracy. We identified 665 RCTs for SMIs (34% US, 21% Europe) including 164,437 (median 123, range 10-14,559) adults with T2DM. SMIs highly differed in design and content, and characteristics such as mode of delivery, intensity, location and providers involved were poorly described. The majority of interventions aimed to improve clinical outcomes like HbA1c (83%), weight (53%), lipid profile (45%) or blood pressure (42%); 27% (also) targeted quality of life. Improved knowledge, health literacy, patient activation or satisfaction with care were hardly used as outcomes (<16%). SMIs most often used education (98%), self-monitoring (56%), goal-setting (48%) and skills training (42%) to improve outcomes. Management of emotions (17%) and shared decision-making (5%) were almost never mentioned. Although diabetes is highly prevalent in some minority groups, in only 13% of the SMIs, these groups were included. Our findings highlight the large heterogeneity that exists in the design of SMIs for T2DM and the way studies are reported, making accurate comparisons of their relative effectiveness challenging. In addition, SMIs pay limited attention to outcomes other than clinical, despite the importance attached to these outcomes by patients. More standardized and streamlined research is needed to better understand the effectiveness and cost-effectiveness of SMIs of T2DM and benefit patient care.
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Affiliation(s)
- Yang Song
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Jessica Beltran Puerta
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Melixa Medina-Aedo
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Carlos Canelo-Aybar
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Claudia Valli
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; (M.B.); (K.P.-B.); (J.Z.-T.); (A.I.G.-G.); (R.S.); (C.O.)
- Faculty of Medicine, Universitat Autὸnoma de Barcelona (UAB), 08025 Barcelona, Spain
| | - Marta Ballester
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; (M.B.); (K.P.-B.); (J.Z.-T.); (A.I.G.-G.); (R.S.); (C.O.)
- Faculty of Medicine, Universitat Autὸnoma de Barcelona (UAB), 08025 Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 28029 Madrid, Spain
| | - Claudio Rocha
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Montserrat León Garcia
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Karla Salas-Gama
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Chrysoula Kaloteraki
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Marilina Santero
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Ena Niño de Guzmán
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
| | - Cristina Spoiala
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
| | - Pema Gurung
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
| | - Fabienne Willemen
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
| | - Iza Cools
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
| | - Julia Bleeker
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
| | - Rune Poortvliet
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
| | - Tajda Laure
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
| | - Marieke van der Gaag
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
| | - Kevin Pacheco-Barrios
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; (M.B.); (K.P.-B.); (J.Z.-T.); (A.I.G.-G.); (R.S.); (C.O.)
| | - Jessica Zafra-Tanaka
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; (M.B.); (K.P.-B.); (J.Z.-T.); (A.I.G.-G.); (R.S.); (C.O.)
| | - Dimitris Mavridis
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece; (D.M.); (S.Z.); (G.S.)
| | - Areti Angeliki Veroniki
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, Toronto, ON M5B 1W8, Canada;
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON M5S 3G8, Canada
| | - Stella Zevgiti
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece; (D.M.); (S.Z.); (G.S.)
| | - Georgios Seitidis
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece; (D.M.); (S.Z.); (G.S.)
| | - Pablo Alonso-Coello
- Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; (Y.S.); (J.B.P.); (M.M.-A.); (C.C.-A.); (C.V.); (C.R.); (M.L.G.); (K.S.-G.); (M.S.); (E.N.d.G.); (P.A.-C.)
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Oliver Groene
- OptiMedis, 20095 Hamburg, Germany;
- Faculty of Management, Economics and Society, University of Witten/Herdecke, 58455 Witten, Germany
| | - Ana Isabel González-González
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; (M.B.); (K.P.-B.); (J.Z.-T.); (A.I.G.-G.); (R.S.); (C.O.)
- Faculty of Medicine, Universitat Autὸnoma de Barcelona (UAB), 08025 Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 28029 Madrid, Spain
| | - Rosa Sunol
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; (M.B.); (K.P.-B.); (J.Z.-T.); (A.I.G.-G.); (R.S.); (C.O.)
- Faculty of Medicine, Universitat Autὸnoma de Barcelona (UAB), 08025 Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 28029 Madrid, Spain
| | - Carola Orrego
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; (M.B.); (K.P.-B.); (J.Z.-T.); (A.I.G.-G.); (R.S.); (C.O.)
- Faculty of Medicine, Universitat Autὸnoma de Barcelona (UAB), 08025 Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 28029 Madrid, Spain
| | - Monique Heijmans
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands; (C.S.); (P.G.); (F.W.); (I.C.); (J.B.); (R.P.); (T.L.)
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19
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Costa V, Gianlorenço AC, Daibes M, Queiroz F, Lacerda G, Martinez-Magallanes D, Camargo L, Alves LG, Andrade MF, Dodurgali MR, Pacheco-Barrios K, Fregni F. Physical Conditioning, Obesity and Fibromyalgia: Causal Relationship or Confounding? Princ Pract Clin Res 2023; 9:63-68. [PMID: 38433877 PMCID: PMC10906936 DOI: 10.21801/ppcrj.2023.93.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Affiliation(s)
- Valton Costa
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Laboratory of Neuroscience and Neurological Rehabilitation, Physical Therapy Department, Federal University of Sao Carlos, Sao Carlos, SP, Brazil
| | - Anna Carolyna Gianlorenço
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Laboratory of Neuroscience and Neurological Rehabilitation, Physical Therapy Department, Federal University of Sao Carlos, Sao Carlos, SP, Brazil
| | - Marianna Daibes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Fernanda Queiroz
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Guilherme Lacerda
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Institute of Physical and Rehabilitation Medicine, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Daniela Martinez-Magallanes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Lucas Camargo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Luana Gola Alves
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Maria Fernanda Andrade
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mustafa Reha Dodurgali
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Quispe-Vicuña C, Soriano-Moreno DR, De-Los-Rios-Pinto A, Díaz-Ledesma LA, Fernandez-Guzman D, Pacheco-Barrios K, Alva-Diaz C. Association between weight status and migraine in the paediatric population: a systematic review and meta-analysis. Front Neurol 2023; 14:1225935. [PMID: 38033769 PMCID: PMC10682819 DOI: 10.3389/fneur.2023.1225935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 10/27/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction An association between weight status and migraine has been previously reported; however, this relationship has only been studied in adults, not in the paediatric population. Objective To evaluate the association between weight status and migraine in the paediatric population. Methods We searched PubMed/Medline, Scopus, Web of Science, Ovid Medline, and Embase using a cut-off date of May 2023. We included observational studies that evaluated the association between weight status (underweight, overweight, obese, and excess weight) and migraine in the paediatric population (children and adolescents). Normal weight was the comparator. The outcome was migraine (all types, episodic and chronic). We performed meta-analyses using a random-effects model to estimate the pooled effects for each outcome. Sensitivity analysis was performed based on study design and risk of bias (using the Newcastle-Ottawa Scale). Certainty of evidence was assessed using the GRADE approach. Results Eight studies (6 cross-sectional, 1 case-control and 1 cohort) covering 16,556 patients were included. The overall certainty of evidence was very low for the association between overweight, obesity, and excess weight with migraine. In the sensitivity analysis, meta-analyses of studies with a low risk of bias found that the overweight population probably had an increased odds of migraine (OR: 1.70; 95% CI: 1.14 to 2.53; I2 = 32.3%, p = 0.224) and that excess weight may increase the odds of migraine (OR: 1.58; 95% CI: 1.06 to 2.35; I2 = 83.7%, p = 0.002). Additionally, cohort and case-control studies found that obesity probably increases the odds of migraine. No studies analysed the association between underweight and migraine. Conclusion The associations between overweight, obesity, excess weight and migraine were uncertain, but studies with better methodological quality reported increased odds. Future longitudinal studies with proper confounding control are needed to disentangle their causal relationship. Systematic review registration PROSPERO, identifier CRD42021271533.
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Affiliation(s)
- Carlos Quispe-Vicuña
- Sociedad Científica de San Fernando, Universidad Nacional Mayor de San Marcos, Lima, Peru
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru
| | - David R. Soriano-Moreno
- Unidad de Investigación Clínica y Epidemiológica, Facultad de Medicina, Universidad Peruana Unión, Lima, Peru
| | - Abraham De-Los-Rios-Pinto
- Escuela Profesional de Medicina Humana, Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
| | - Luz A. Díaz-Ledesma
- Veritas Sociedad Científica de Estudiantes de Medicina, Universidad de San Martín de Porres, Chiclayo, Peru
| | | | - Kevin Pacheco-Barrios
- Unidad de Investigación para la Generación y Síntesis de Evidencia en Salud, Universidad San Ignacio de Loyola, Lima, Peru
- Neuromodulation Center y Center for Clinical Research Learning, Spaulding Rehabilitation Hospital y Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Departamento de Epidemiología, Escuela de Salud Pública T. H. Chan de Harvard, MA, United States
| | - Carlos Alva-Diaz
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru
- Universidad Señor de Sipán, Chiclayo, Peru
- Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI), Hospital Daniel Alcides Carrión, Callao, Peru
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21
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Gill TK, Mittinty MM, March LM, Steinmetz JD, Culbreth GT, Cross M, Kopec JA, Woolf AD, Haile LM, Hagins H, Ong KL, Kopansky-Giles DR, Dreinhoefer KE, Betteridge N, Abbasian M, Abbasifard M, Abedi K, Adesina MA, Aithala JP, Akbarzadeh-Khiavi M, Al Thaher Y, Alalwan TA, Alzahrani H, Amiri S, Antony B, Arabloo J, Aravkin AY, Arumugam A, Aryal KK, Athari SS, Atreya A, Baghdadi S, Bardhan M, Barrero LH, Bearne LM, Bekele AB, Bensenor IM, Bhardwaj P, Bhatti R, Bijani A, Bordianu T, Bouaoud S, Briggs AM, Cheema HA, Christensen SWM, Chukwu IS, Clarsen B, Dai X, de Luca K, Desye B, Dhimal M, Do TC, Fagbamigbe AF, Farokh Forghani S, Ferreira N, Ganesan B, Gebrehiwot M, Ghashghaee A, Graham SM, Harlianto NI, Hartvigsen J, Hasaballah AI, Hasanian M, Hassen MB, Hay SI, Heidari M, Hsiao AK, Ilic IM, Jokar M, Khajuria H, Khan MJ, Khanal P, Khateri S, Kiadaliri A, Kim MS, Kisa A, Kolahi AA, Krishan K, Krishnamoorthy V, Landires I, Larijani B, Le TTT, Lee YH, Lim SS, Lo J, Madani SP, Malagón-Rojas JN, Malik I, Marateb HR, Mathew AJ, Meretoja TJ, Mesregah MK, Mestrovic T, Mirahmadi A, Misganaw A, Mohaghegh S, Mokdad AH, Momenzadeh K, Momtazmanesh S, Monasta L, Moni MA, Moradi Y, Mostafavi E, Muhammad JS, Murray CJL, Muthu S, Nargus S, Nassereldine H, Neupane S, Niazi RK, Oh IH, Okati-Aliabad H, Oulhaj A, Pacheco-Barrios K, Park S, Patel J, Pawar S, Pedersini P, Peres MFP, Petcu IR, Petermann-Rocha FE, Poursadeqiyan M, Qattea I, Qureshi MF, Rafferty Q, Rahimi-Dehgolan S, Rahman M, Ramasamy SK, Rashedi V, Redwan EMM, Ribeiro DC, Roever L, Safary A, Sagoe D, Saheb Sharif-Askari F, Sahebkar A, Salehi S, Shafaat A, Shahabi S, Sharma S, Shashamo BB, Shiri R, Singh A, Slater H, Smith AE, Sunuwar DR, Tabish M, Tharwat S, Ullah I, Valadan Tahbaz S, Vasankari TJ, Villafañe JH, Vollset SE, Wiangkham T, Yonemoto N, You Y, Zare I, Zheng P, Vos T, Brooks PM. Global, regional, and national burden of other musculoskeletal disorders, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatol 2023; 5:e670-e682. [PMID: 37927903 PMCID: PMC10620749 DOI: 10.1016/s2665-9913(23)00232-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Background Musculoskeletal disorders include more than 150 different conditions affecting joints, muscles, bones, ligaments, tendons, and the spine. To capture all health loss from death and disability due to musculoskeletal disorders, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) includes a residual musculoskeletal category for conditions other than osteoarthritis, rheumatoid arthritis, gout, low back pain, and neck pain. This category is called other musculoskeletal disorders and includes, for example, systemic lupus erythematosus and spondylopathies. We provide updated estimates of the prevalence, mortality, and disability attributable to other musculoskeletal disorders and forecasted prevalence to 2050. Methods Prevalence of other musculoskeletal disorders was estimated in 204 countries and territories from 1990 to 2020 using data from 68 sources across 23 countries from which subtraction of cases of rheumatoid arthritis, osteoarthritis, low back pain, neck pain, and gout from the total number of cases of musculoskeletal disorders was possible. Data were analysed with Bayesian meta-regression models to estimate prevalence by year, age, sex, and location. Years lived with disability (YLDs) were estimated from prevalence and disability weights. Mortality attributed to other musculoskeletal disorders was estimated using vital registration data. Prevalence was forecast to 2050 by regressing prevalence estimates from 1990 to 2020 with Socio-demographic Index as a predictor, then multiplying by population forecasts. Findings Globally, 494 million (95% uncertainty interval 431-564) people had other musculoskeletal disorders in 2020, an increase of 123·4% (116·9-129·3) in total cases from 221 million (192-253) in 1990. Cases of other musculoskeletal disorders are projected to increase by 115% (107-124) from 2020 to 2050, to an estimated 1060 million (95% UI 964-1170) prevalent cases in 2050; most regions were projected to have at least a 50% increase in cases between 2020 and 2050. The global age-standardised prevalence of other musculoskeletal disorders was 47·4% (44·9-49·4) higher in females than in males and increased with age to a peak at 65-69 years in male and female sexes. In 2020, other musculoskeletal disorders was the sixth ranked cause of YLDs globally (42·7 million [29·4-60·0]) and was associated with 83 100 deaths (73 600-91 600). Interpretation Other musculoskeletal disorders were responsible for a large number of global YLDs in 2020. Until individual conditions and risk factors are more explicitly quantified, policy responses to this burden remain a challenge. Temporal trends and geographical differences in estimates of non-fatal disease burden should not be overinterpreted as they are based on sparse, low-quality data. Funding Bill & Melinda Gates Foundation.
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Estudillo-Guerra MA, Linnman C, Galvez V, Chapa-Koloffon G, Pacheco-Barrios K, Morales-Quezada L, Flores Ramos M. Is brain perfusion correlated to switching mood states and cognitive impairment in bipolar disorder type I? A longitudinal study using perfusion imaging approach. Front Psychiatry 2023; 14:1244134. [PMID: 37860170 PMCID: PMC10582948 DOI: 10.3389/fpsyt.2023.1244134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/13/2023] [Indexed: 10/21/2023] Open
Abstract
Type I Bipolar disorder (BD-I) is a neuropsychiatric disorder characterized by manic or mixed-featured episodes, impaired cognitive functioning, and persistent work and social functioning impairment. This study aimed to investigate within-subject; (i) differences in brain perfusion using Single-photon emission computed tomography (SPECT) between manic and euthymic states in BD-I patients; (ii) explore potential associations between altered brain perfusion and cognitive status; and (iii) examine the relationship between cerebral perfusion and mania symptom ratings. Seventeen adult patients diagnosed with BD-I in a manic episode were recruited, and clinical assessments, cognitive tests, and brain perfusion studies were conducted at baseline (mania state) and a follow-up visit 6 months later. The results showed cognitive impairment during the manic episode, which persisted during the euthymic state at follow-up. However, no significant changes in brain perfusion were observed between the manic and euthymic states. During mania, trends toward decreased perfusion in the left cerebellum and right superior parietal lobule were noted. Additionally, trends indicated a higher perfusion imbalance in the left superior and middle frontal gyrus during mania and the right superior and middle frontal gyrus during euthymia. No significant correlations existed between brain perfusion, mania symptom ratings, and cognitive performance, indicating that symptomatology might represent more than neural hemodynamics. These findings suggest that cognitive impairment may persist in BD-I patients and highlight the need for therapeutic interventions targeting cognitive deficits. More extensive studies with extended follow-up periods are warranted further to investigate brain perfusion and cognitive functioning in BD-I patients.
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Affiliation(s)
- Maria Anayali Estudillo-Guerra
- Clínica de Trastornos del Afecto, Instituto Nacional de Psiquiatría “Ramón de la Fuente”, Mexico City, Mexico
- Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Clas Linnman
- Spaulding Neuroimaging Laboratory, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, MA, United States
| | - Victor Galvez
- Laboratorio de Neurociencias Cognitivas y Desarrollo, Escuela de Psicología, Universidad Panamericana, Mexico City, Mexico
| | | | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Vicerrectorado de Investigación, Unidad de Investigación Para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
| | - Leon Morales-Quezada
- Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Monica Flores Ramos
- Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico
- Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
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23
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Lima D, Pacheco-Barrios K, Slawka E, Camargo L, Castelo-Branco L, Cardenas-Rojas A, Neto MS, Fregni F. The role of symptoms severity, heart rate, and central sensitization for predicting sleep quality in patients with fibromyalgia. Pain Med 2023; 24:1153-1160. [PMID: 37314968 PMCID: PMC10546479 DOI: 10.1093/pm/pnad076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/16/2023] [Accepted: 05/26/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND Clinical predictors of sleep quality in patients with fibromyalgia syndrome (FMS) are still unknown. By identifying these factors, we could raise new mechanistic hypotheses and guide management approaches. We aimed to describe the sleep quality of FMS patients and to explore the clinical and quantitative sensory testing (QST) predictors of poor sleep quality and its subcomponents. METHODS This study is a cross-sectional analysis of an ongoing clinical trial. We performed linear regression models between sleep quality (Pittsburgh Sleep Quality Index [PSQI]) and demographic, clinical, and QST variables, controlling for age and gender. Predictors for the total PSQI score and its seven subcomponents were found using a sequential modeling approach. RESULTS We included 65 patients. The PSQI score was 12.78 ± 4.39, with 95.39% classified as poor sleepers. Sleep disturbance, use of sleep medications, and subjective sleep quality were the worst subdomains. We found poor PSQI scores were highly associated with symptom severity (FIQR score and PROMIS fatigue), pain severity, and higher depression levels, explaining up to 31% of the variance. Fatigue and depression scores also predicted the subjective sleep quality and daytime dysfunction subcomponents. Heart rate changes (surrogate of physical conditioning) predicted the sleep disturbance subcomponent. QST variables were not associated with sleep quality or its subcomponents. CONCLUSIONS Symptom severity, fatigue, pain, and depression (but no central sensitization) are the main predictors of poor sleep quality. Heart rate changes independently predicted the sleep disturbance subdomain (the most affected one in our sample), suggesting an essential role of physical conditioning in modulating sleep quality in FMS patients. This underscores the need for multidimensional treatments targeting depression and physical activity to improve the sleep quality of FMS patients.
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Affiliation(s)
- Daniel Lima
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02141, United States
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02141, United States
- Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima 15023, Peru
| | - Eric Slawka
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02141, United States
| | - Lucas Camargo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02141, United States
| | - Luis Castelo-Branco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02141, United States
| | - Alejandra Cardenas-Rojas
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02141, United States
| | - Moacir Silva Neto
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02141, United States
- Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima 15023, Peru
- Life Checkup—Medicina Esportiva Avançada, Brasilia 70040, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02141, United States
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Menacho MDO, Pacheco-Barrios K, Mendes AJ, Sato TDO, Fregni F, Gianlorenço ACL. Exercise effects on motor function, manual dexterity, and brain oscillatory activity in individuals with Parkinson's disease: Randomized controlled trial protocol. Physiother Res Int 2023; 28:e2009. [PMID: 37141404 DOI: 10.1002/pri.2009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 03/15/2023] [Accepted: 04/17/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND Parkinson's disease (PD) is the second most common progressive neurodegenerative disorder. Exercise protocols are promising interventions to improve PD symptoms, however, the best modality and its neural correlates are still unknown. OBJECTIVES To evaluate the effects of the aerobic, strength and task-oriented upper-limb exercises in motor function, manual dexterity, and brain oscillations of individuals with PD. METHOD In this clinical trial, 44 PD patients aged 40-80 years will be randomized in four groups: aerobic training (AT), strength training (ST), task-oriented training (TOT), and waiting list group (CG). The AT group will perform 30 min of a cycle ergometer on 50%-70% of the reserve heart rate. The ST group will use equipment for upper limb muscles and will perform two series of 8-12 repetitions for each exercise, and intensity between 50% and 70% of one maximum repetition will be used. The TOT group will perform a program consisting of three activities to enhance reaching, grasping, and manipulation. All the groups will perform three sessions per week for 8 weeks. We will use the UPDRS Motor function section, Nine-Hole Peg Test, and quantitative electroencephalography to measure motor function, manual dexterity, and brain oscillations, respectively. ANOVA and regression models will be used to compare outcomes within and between groups.
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Affiliation(s)
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru
| | - Augusto J Mendes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Laboratory of Neuroimaging of Aging, LANVIE, University of Geneva, Geneva, Switzerland
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland
| | | | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Anna Carolyna Lepesteur Gianlorenço
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Physical Therapy Department, Federal University of Sao Carlos, Sao Carlos, Brazil
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25
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Uygur-Kucukseymen E, Pacheco-Barrios K, Yuksel B, Gonzalez-Mego P, Soysal A, Fregni F. Non-invasive brain stimulation on clinical symptoms in multiple sclerosis patients: A systematic review and meta-analysis. Mult Scler Relat Disord 2023; 78:104927. [PMID: 37595371 DOI: 10.1016/j.msard.2023.104927] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/21/2023] [Accepted: 07/30/2023] [Indexed: 08/20/2023]
Abstract
BACKGROUND Non-invasive brain stimulation (NIBS) has demonstrated mixed effects on the clinical symptoms of multiple sclerosis. This systematic review and meta-analysis aimed to evaluate the effects of NIBS techniques on the most common symptoms of MS. METHODS A literature search was performed until October 2022 which included randomized controlled trials and quasi-experimental studies that used sham-controlled NIBS in patients with MS. We calculated the Hedge's effect sizes of each domain of interest and their 95% confidence intervals (95% CIs) and performed random effects meta-analyses. RESULTS A total of 49 studies were included in the systematic review (944 participants). Forty-four eligible studies were included for quantitative analysis, of which 33 applied transcranial direct current stimulation (tDCS), 9 transcranial magnetic stimulation (TMS), and 2 transcranial random noise stimulation (tRNS). We found a significant decrease in fatigue (ES: - 0.86, 95% CI: - 1.22 to - 0.51, p < 0.0001), pain (ES: - 1.91, 95% CI, - 3.64 to - 0.19, p= 0.03) and psychiatric symptoms (ES: - 1.44, 95% CI - 2.56 to - 0.32, p = 0.01) in favor of tDCS compared with the sham. On the other hand, there was no strong evidence showing tDCS effectiveness on motor performance and cognition (ES: - 0.03, 95% CI - 0.35 to 0.28, p = 0.83 and ES: 0.71, 95% CI, - 0.09 to 1.52, p = 0.08, respectively). Regarding TMS, we found a significant decrease in fatigue (ES: - 0.45, 95% CI: - 0.84 to -0.07, p = 0.02) and spasticity levels (ES: - 1.11, 95% CI: - 1.48 to - 0.75, p < 0.00001) compared to the sham. However, there was no strong evidence of the effectiveness of TMS on motor performance (ES: - 0.39, 95% CI - 0.95 to 0.16, p = 0.16). Finally, there was no significant evidence showing the effectiveness of tRNS on fatigue levels (ES: - 0.28, 95% CI: - 1.02 to 0.47, p = 0.46) and cognitive improvement (ES: - 0.04, 95% CI: - 0.6, 0.52, p = 0.88) compared with the sham. CONCLUSIONS Overall, most studies have investigated the effects of tDCS on MS symptoms, particularly fatigue. The symptom that most benefited from NIBS was fatigue, while the least to benefit was motor performance. In addition, we found that disability score was associated with fatigue improvement. Thus, these findings support the idea that NIBS could have some promising effects on specific MS symptoms. It is also important to underscore that studies are very heterogeneous regarding the parameters of stimulation, and this may also have influenced the effects on some specific behavioral domains.
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Affiliation(s)
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Unidad de Investigacion para la Generacion y Sintesis de Evidencia en Salud, Universidad San Ignacio de Loyola, Vicerrectorado de Investigacion, Lima, Peru
| | - Burcu Yuksel
- Istanbul Bakirkoy Prof. Dr. Mazhar Osman Mental Health and Neurological Diseases Training and Research Hospital, Clinic of Neurology and Neurosurgery, Istanbul, Turkey
| | - Paola Gonzalez-Mego
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Aysun Soysal
- Istanbul Bakirkoy Prof. Dr. Mazhar Osman Mental Health and Neurological Diseases Training and Research Hospital, Clinic of Neurology and Neurosurgery, Istanbul, Turkey
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Saal-Zapata G, Rodriguez-Calienes A, Malaga M, Velasquez-Rimachi V, Moran C, Bustamante-Paytan D, Pacheco-Barrios N, Pacheco-Barrios K, Alva-Diaz C, Walker M. Microsurgical and endovascular treatment of posterior inferior cerebellar artery aneurysms: a systematic review and meta-analysis. J Neurosurg Sci 2023; 67:638-652. [PMID: 35416457 DOI: 10.23736/s0390-5616.22.05710-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Posterior inferior cerebellar artery (PICA) aneurysms are uncommon vascular lesions of the posterior fossa. In addition to aneurysmal morphology, structural anatomic considerations may confer additional procedural risk, and as a result there is currently no consensus as to whether a surgical or endovascular approach offers greater safety and efficacy for patients. EVIDENCE ACQUISITION We systematically examined peer-reviewed literature describing PICA aneurysm treatment planning from January 2000 to May 2021 using the PRISMA methodology. A meta-analysis of proportions was performed. Certainty of the evidence was assessed using the GRADE approach. EVIDENCE SYNTHESIS Fifty-eight studies including 1673 PICA aneurysms were analyzed. Overall treatment occlusion rate was 97% (95% confidence interval [CI]: 93-100%) for surgery and 85% (95% CI: 78-92%) for endovascular therapy. The recurrence rate was 6% in the endovascular group and 1% for surgery. Overall morbidity and mortality were 16% and 7%, respectively. Intraoperative complications occurred in 9% of the surgical patients. CONCLUSIONS Despite a large body of literature, analysis indicates that 62% of studies had moderate or serious risk of bias, suggesting very-low certainty results. Therefore, treatment via either approach should be determined on a case-by-case basis and according to institutional experience.
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Affiliation(s)
- Giancarlo Saal-Zapata
- Section of Endovascular Neurosurgery, Department of Neurosurgery, Guillermo Almenara Irigoyen-EsSalud National Hospital, Lima, Peru -
| | - Aaron Rodriguez-Calienes
- Grupo de Investigación Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Perú
| | - Marco Malaga
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru
| | - Victor Velasquez-Rimachi
- Grupo de Investigación Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Perú
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru
| | - Cristian Moran
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru
- Scientific University of the South, Lima, Peru
| | | | - Niels Pacheco-Barrios
- Red de Eficacia Clínica y Sanitaria (REDECS), Lima, Peru
- Faculty of Human Medicine, San Martin de Porres University, Lima, Peru
| | - Kevin Pacheco-Barrios
- Alberto Hurtado Faculty of Medicine, Cayetano Heredia Peruvian University, Lima, Peru
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, MA, USA
| | - Carlos Alva-Diaz
- Grupo de Investigación Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Perú
| | - Melanie Walker
- Research Unit for the Generation and Synthesis of Health Evidence, San Ignacio de Loyola University, Lima, Perú
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Black RJ, Cross M, Haile LM, Culbreth GT, Steinmetz JD, Hagins H, Kopec JA, Brooks PM, Woolf AD, Ong KL, Kopansky-Giles DR, Dreinhoefer KE, Betteridge N, Aali A, Abbasifard M, Abbasi-Kangevari M, Abdurehman AM, Abedi A, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Abu-Zaid A, Adamu K, Addo IY, Adesina MA, Adnani QES, Afzal MS, Ahmed A, Aithala JP, Akhlaghdoust M, Alemayehu A, Alvand S, Alvis-Zakzuk NJ, Amu H, Antony B, Arabloo J, Aravkin AY, Arulappan J, Ashraf T, Athari SS, Azadnajafabad S, Badawi A, Baghcheghi N, Baig AA, Balta AB, Banach M, Banik PC, Barrow A, Bashiri A, Bearne LM, Bekele A, Bensenor IM, Berhie AY, Bhagavathula AS, Bhardwaj P, Bhat AN, Bhojaraja VS, Bitaraf S, Bodicha BBA, Botelho JS, Briggs AM, Buchbinder R, Castañeda-Orjuela CA, Charalampous P, Chattu VK, Coberly K, Cruz-Martins N, Dadras O, Dai X, de Luca K, Dessalegn FN, Dessie G, Dhimal M, Digesa LE, Diress M, Doku PN, Edinur HA, Ekholuenetale M, Elhadi M, El-Sherbiny YM, Etaee F, Ezzeddini R, Faghani S, Filip I, Fischer F, Fukumoto T, Ganesan B, Gebremichael MA, Gerema U, Getachew ME, Ghashghaee A, Gill TK, Gupta B, Gupta S, Gupta VB, Gupta VK, Halwani R, Hannan MA, Haque S, Harlianto NI, Harorani M, Hasaballah AI, Hassen MB, Hay SI, Hayat K, Heidari G, Hezam K, Hill CL, Hiraike Y, Horita N, Hoveidaei AH, Hsiao AK, Hsieh E, Hussain S, Iavicoli I, Ilic IM, Islam SMS, Ismail NE, Iwagami M, Jakovljevic M, Jani CT, Jeganathan J, Joseph N, Kadashetti V, Kandel H, Kanko TK, Karaye IM, Khajuria H, Khan MJ, Khan MAB, Khanali J, Khatatbeh MM, Khubchandani J, Kim YJ, Kisa A, Kolahi AA, Kompani F, Koohestani HR, Koyanagi A, Krishan K, Kuddus M, Kumar N, Kuttikkattu A, Larijani B, Lim SS, Lo J, Machado VS, Mahajan PB, Majeed A, Malakan Rad E, Malik AA, Mansournia MA, Mathews E, Mendes JJ, Mentis AFA, Mesregah MK, Mestrovic T, Mirghaderi SP, Mirrakhimov EM, Misganaw A, Mohamadkhani A, Mohammed S, Mokdad AH, Moniruzzaman M, Montasir AA, Mulu GB, Murillo-Zamora E, Murray CJL, Mustafa G, Naghavi M, Nair TS, Naqvi AA, Natto ZS, Nayak BP, Neupane S, Nguyen CT, Niazi RK, Nzoputam OJ, Oh IH, Okati-Aliabad H, Okonji OC, Olufadewa II, Owolabi MO, Pacheco-Barrios K, Padubidri JR, Patel J, Pathan AR, Pawar S, Pedersini P, Perianayagam A, Petcu IR, Qattea I, Radfar A, Rafiei A, Rahman MHU, Rahmanian V, Rashedi V, Rashidi MM, Ratan ZA, Rawaf S, Razeghinia MS, Redwan EMM, Renzaho AMN, Rezaei N, Rezaei N, Riad A, Saad AMA, Saddik B, Saeed U, Safary A, Sahebazzamani M, Sahebkar A, Sahoo H, Salek Farrokhi A, Saqib MAN, Seylani A, Shahabi S, Shaikh MA, Shashamo BB, Shetty A, Shetty JK, Shigematsu M, Shivarov V, Shobeiri P, Sibhat MM, Sinaei E, Singh A, Singh JA, Singh P, Singh S, Siraj MS, Skryabina AA, Slater H, Smith AE, Solomon Y, Soltani-Zangbar MS, Tabish M, Tan KK, Tat NY, Tehrani-Banihashemi A, Tharwat S, Tovani-Palone MR, Tusa BS, Valadan Tahbaz S, Valdez PR, Valizadeh R, Vaziri S, Vollset SE, Wu AM, Yada DY, Yehualashet SS, Yonemoto N, You Y, Yunusa I, Zangiabadian M, Zare I, Zarrintan A, Zhang ZJ, Zhong C, Zoladl M, Vos T, March LM. Global, regional, and national burden of rheumatoid arthritis, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatol 2023; 5:e594-e610. [PMID: 37795020 PMCID: PMC10546867 DOI: 10.1016/s2665-9913(23)00211-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
Background Rheumatoid arthritis is a chronic autoimmune inflammatory disease associated with disability and premature death. Up-to-date estimates of the burden of rheumatoid arthritis are required for health-care planning, resource allocation, and prevention. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, we provide updated estimates of the prevalence of rheumatoid arthritis and its associated deaths and disability-adjusted life-years (DALYs) by age, sex, year, and location, with forecasted prevalence to 2050. Methods Rheumatoid arthritis prevalence was estimated in 204 countries and territories from 1990 to 2020 using Bayesian meta-regression models and data from population-based studies and medical claims data (98 prevalence and 25 incidence studies). Mortality was estimated from vital registration data with the Cause of Death Ensemble model (CODEm). Years of life lost (YLL) were calculated with use of standard GBD lifetables, and years lived with disability (YLDs) were estimated from prevalence, a meta-analysed distribution of rheumatoid arthritis severity, and disability weights. DALYs were calculated by summing YLLs and YLDs. Smoking was the only risk factor analysed. Rheumatoid arthritis prevalence was forecast to 2050 by logistic regression with Socio-Demographic Index as a predictor, then multiplying by projected population estimates. Findings In 2020, an estimated 17·6 million (95% uncertainty interval 15·8-20·3) people had rheumatoid arthritis worldwide. The age-standardised global prevalence rate was 208·8 cases (186·8-241·1) per 100 000 population, representing a 14·1% (12·7-15·4) increase since 1990. Prevalence was higher in females (age-standardised female-to-male prevalence ratio 2·45 [2·40-2·47]). The age-standardised death rate was 0·47 (0·41-0·54) per 100 000 population (38 300 global deaths [33 500-44 000]), a 23·8% (17·5-29·3) decrease from 1990 to 2020. The 2020 DALY count was 3 060 000 (2 320 000-3 860 000), with an age-standardised DALY rate of 36·4 (27·6-45·9) per 100 000 population. YLDs accounted for 76·4% (68·3-81·0) of DALYs. Smoking risk attribution for rheumatoid arthritis DALYs was 7·1% (3·6-10·3). We forecast that 31·7 million (25·8-39·0) individuals will be living with rheumatoid arthritis worldwide by 2050. Interpretation Rheumatoid arthritis mortality has decreased globally over the past three decades. Global age-standardised prevalence rate and YLDs have increased over the same period, and the number of cases is projected to continue to increase to the year 2050. Improved access to early diagnosis and treatment of rheumatoid arthritis globally is required to reduce the future burden of the disease. Funding Bill & Melinda Gates Foundation, Institute of Bone and Joint Research, and Global Alliance for Musculoskeletal Health.
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Pacheco-Barrios K, Marques LM, Dodurgali MR, Martinez-Magallanes D, Barbosa SP, De Andrade M, Márquez JO, de Melo PS, Simis M, Caumo W, Fregni F. Editorial - Seeking Brain Homeostatic Compensatory Mechanisms for Pain Control. Princ Pract Clin Res 2023; 9:10.21801/ppcrj.2023.92.2. [PMID: 37711748 PMCID: PMC10500629 DOI: 10.21801/ppcrj.2023.92.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Lucas M Marques
- Instituto de Medicina Física e Reabilitação, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Mustafa Reha Dodurgali
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Daniela Martinez-Magallanes
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Sara P. Barbosa
- Instituto de Medicina Física e Reabilitação, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Marianna De Andrade
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Jorge Ortega Márquez
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Paulo S de Melo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Marcel Simis
- Instituto de Medicina Física e Reabilitação, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
- Departamento de Medicina Legal, Bioética, Medicina do Trabalho e Medicina Física e Reabilitação do da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brasil
| | - Wolnei Caumo
- Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul (RS), Brazil
- Laboratory of Pain and Neuromodulation, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
- Pain and Palliative Care Service, HCPA, Porto Alegre, RS, Brazil
- Department of Surgery, School of Medicine, UFRGS, Porto Alegre, RS, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA
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Sequeiros JM, Rodriguez-Calienes A, Chavez-Malpartida SS, Morán-Mariños C, Alvarado-Gamarra G, Malaga M, Quincho-Lopez A, Hernadez-Fernandez W, Pacheco-Barrios K, Ortega-Gutierrez S, Hoit D, Arthur AS, Alexandrov AV, Alva-Diaz C, Elijovich L. Stroke imaging modality for endovascular therapy in the extended window: systematic review and meta-analysis. J Neurointerv Surg 2023; 15:e46-e53. [PMID: 35725306 DOI: 10.1136/neurintsurg-2022-018896] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/08/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND In anterior circulation large vessel occlusion (LVO) in the extended time window, the guidelines recommend advanced imaging (ADVI) to select patients for endovascular therapy (EVT). However, questions remain regarding its availability and applicability in the real world. It is unclear whether an approach to the extended window EVT that does not use ADVI would be equivalent. METHODS In April 2022, a literature search was performed to identified randomized controlled trials (RCT) and observational studies describing 90-day outcomes. We performed a meta-analysis of the proportion of aggregate using a random effect to estimate rates of functional independence, defined as modified Rankin Scale (mRS) score ≤2 at 90 days, mean mRS, mortality and symptomatic intracranial hemorrhage (sICH) stratified by imaging modality. RESULTS Four RCTs and 28 observational studies were included. The pooled proportion of functional independence among patients selected by ADVI was 44% (95% CI 39% to 48%; I2=80%) and 48% (95% CI 41% to 55%; I2=75%) with non-contrast CT/CT angiography (NCCT/CTA) (p=0.36). Mean mRS with ADVI was 2.88 (95% CI 2.36 to 3.41; I2=0.0%) and 2.79 (95% CI 2.31 to 3.27; I2=0.0%) with NCCT (p=0.79). Mortality in patients selected by ADVI was 13% (95% CI 10% to 17%; I2=81%) and 16% (95% CI 12% to 22%; I2=69%) with NCCT (p=0.29). sICH with ADVI was 4% (95% CI 3% to 7%; I2=73%) and 6% with NCCT/CTA (95% CI 4% to 8%; I2=6%, p=0.27). CONCLUSIONS Our study suggests that, in anterior circulation LVO, the rates of functional independence may be similar when patients are selected using ADVI or NCCT for EVT in the extended time window. A simplified triage protocol does not seem to increase mortality or sICH. PROTOCOL REGISTRATION NUMBER: (PROSPERO ID: CRD42021236092).
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Affiliation(s)
- Joel M Sequeiros
- Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Aaron Rodriguez-Calienes
- Grupo de Investigacion Neurociencia, Efectividad Clinica y Salud Publica, Universidad Científica del Sur, Lima, Peru
| | - Sandra S Chavez-Malpartida
- Facultad de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Peru
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru
- Servicio de Neurologia, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigacion, Hospital Daniel Alcides Carrion, Callao, Peru
| | - Cristian Morán-Mariños
- Unidad de Investigacion en Bibliometria, Universidad San Ignacio de Loyola, Lima, Peru
- Servicio de Neumologia, Hospital Nacional Dos de Mayo, Lima, Peru
| | - Giancarlo Alvarado-Gamarra
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru
- Departamento de Pediatria, Hospital Nacional Edgardo Rebagliati Martins, Lima, Peru
- Departamento de Pediatria, Instituto de Investigación Nutricional, Lima, Peru
| | - Marco Malaga
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru
| | - Alvaro Quincho-Lopez
- Facultad de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Wendy Hernadez-Fernandez
- Servicio de Neurologia, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigacion, Hospital Daniel Alcides Carrion, Callao, Peru
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, Massachusetts, USA
- Vicerrectorado de Investigacion, Unidad de Investigacion para la Generacion y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
| | - Santiago Ortega-Gutierrez
- Department of Neurology, Neurosurgery and Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | - Daniel Hoit
- Department of Neurosurgery, University of Tennessee Health Science Center - Semmens Murphy Clinic, Memphis, TN, USA
| | - Adam S Arthur
- Department of Neurosurgery, University of Tennessee Health Science Center - Semmens Murphy Clinic, Memphis, TN, USA
| | - Andrei V Alexandrov
- Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Carlos Alva-Diaz
- Grupo de Investigacion Neurociencia, Efectividad Clinica y Salud Publica, Universidad Científica del Sur, Lima, Peru
- Servicio de Neurologia, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigacion, Hospital Daniel Alcides Carrion, Callao, Peru
| | - Lucas Elijovich
- Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA
- Department of Neurosurgery, University of Tennessee Health Science Center - Semmens Murphy Clinic, Memphis, TN, USA
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Simis M, Pacheco-Barrios K, Vasquez-Avila K, Rebello-Sanchez I, Parente J, Castelo-Branco L, Marduy A, de Melo PS, Imamura M, Battistella L, Fregni F. Functional and Neural Correlates Associated with Conditioned Pain Modulation in Patients with Chronic Knee Osteoarthritis Pain: A Cross-Sectional Study. Life (Basel) 2023; 13:1697. [PMID: 37629554 PMCID: PMC10455308 DOI: 10.3390/life13081697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/23/2023] [Accepted: 07/31/2023] [Indexed: 08/27/2023] Open
Abstract
Background: In this study, we aimed to assess the factors that predict a dysfunctional conditioned pain modulation (CPM) in chronic knee OA. Methods: This is a cross-sectional analysis of patients with chronic knee OA from a prospective cohort study in Brazil (n = 85). We performed linear and logistic multivariate regression models using the purposeful selection approach to test the relationship between the CPM in both knees (average) as a dependent variable and demographics, clinical, and neurophysiological as independent variables. Results: A significant negative association between WOMAC pain scores and CPM (β: -0.13) was found. This association was modified by the subjects' race, being stronger in the non-white subjects. In our logistic regression models, pain intensity indexed with the WOMAC pain scale remained a significant association with dichotomized CPM. Furthermore, a significant CPM association with balance, indexed with the Berg Balance score, was evidenced (β: 0.04). Neurophysiological variables showed a significant negative relationship with CPM, such as the relative power of delta oscillations in the frontal area (β: -3.11) and central area (β: -3.23). There was no significant relationship between CPM and the following domains: cognitive, emotion, sleep, opioid receptor polymorphisms, and intrinsic variables of OA disease. There was no association of CPM with TMS-indexed inhibitory markers. Conclusions: These results may indicate that less function of the pain descending inhibitory system in patients with OA is correlated with higher activity-related pain (WOMAC), less balance, and cortical plasticity especially with increased low-frequency (delta) brain oscillations. These associations seem modified by race.
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Affiliation(s)
- Marcel Simis
- Faculdade de Medicina, Hospital das Clínicas HCFMUSP, Universidade de São Paulo, São Paulo 01002, Brazil; (M.S.); (M.I.); (L.B.)
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA; (K.P.-B.); (K.V.-A.); (I.R.-S.); (J.P.); (L.C.-B.); (A.M.); (P.S.d.M.)
- Unidad de Investigación para la Generación y Síntesis de Evidencia en Salud, Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Lima 15026, Peru
| | - Karen Vasquez-Avila
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA; (K.P.-B.); (K.V.-A.); (I.R.-S.); (J.P.); (L.C.-B.); (A.M.); (P.S.d.M.)
| | - Ingrid Rebello-Sanchez
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA; (K.P.-B.); (K.V.-A.); (I.R.-S.); (J.P.); (L.C.-B.); (A.M.); (P.S.d.M.)
| | - Joao Parente
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA; (K.P.-B.); (K.V.-A.); (I.R.-S.); (J.P.); (L.C.-B.); (A.M.); (P.S.d.M.)
| | - Luis Castelo-Branco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA; (K.P.-B.); (K.V.-A.); (I.R.-S.); (J.P.); (L.C.-B.); (A.M.); (P.S.d.M.)
| | - Anna Marduy
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA; (K.P.-B.); (K.V.-A.); (I.R.-S.); (J.P.); (L.C.-B.); (A.M.); (P.S.d.M.)
| | - Paulo S. de Melo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA; (K.P.-B.); (K.V.-A.); (I.R.-S.); (J.P.); (L.C.-B.); (A.M.); (P.S.d.M.)
| | - Marta Imamura
- Faculdade de Medicina, Hospital das Clínicas HCFMUSP, Universidade de São Paulo, São Paulo 01002, Brazil; (M.S.); (M.I.); (L.B.)
| | - Linamara Battistella
- Faculdade de Medicina, Hospital das Clínicas HCFMUSP, Universidade de São Paulo, São Paulo 01002, Brazil; (M.S.); (M.I.); (L.B.)
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA; (K.P.-B.); (K.V.-A.); (I.R.-S.); (J.P.); (L.C.-B.); (A.M.); (P.S.d.M.)
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Fernandes BBP, Dodurgali MR, Rossetti CA, Pacheco-Barrios K, Fregni F. Editorial - The Secret Life of Retractions in Scientific Publications. Princ Pract Clin Res 2023; 9:10.21801/ppcrj.2023.91.2. [PMID: 37693831 PMCID: PMC10485848 DOI: 10.21801/ppcrj.2023.91.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Affiliation(s)
| | - Mustafa Reha Dodurgali
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Carlos Augusto Rossetti
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Faculdade Isralita de Ciências da Saúde Albert Einstein, São Paulo, SP, Brazil
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Almarie B, Teixeira PEP, Pacheco-Barrios K, Rossetti CA, Fregni F. Editorial - The Use of Large Language Models in Science: Opportunities and Challenges. Princ Pract Clin Res 2023; 9:1-4. [PMID: 37693832 PMCID: PMC10485814 DOI: 10.21801/ppcrj.2023.91.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Affiliation(s)
- Bassel Almarie
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Paulo E. P. Teixeira
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Carlos Augusto Rossetti
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Rios-Blancas MJ, Pando-Robles V, Razo C, Carcamo CP, Mendoza W, Pacheco-Barrios K, Miranda JJ, Lansingh VC, Demie TG, Saha M, Okonji OC, Yigit A, Cahuana-Hurtado L, Chacón-Uscamaita PR, Bernabe E, Culquichicon C, Chirinos-Caceres JL, Cárdenas R, Alcalde-Rabanal JE, Barrera FJ, Quintanilla BPA, Shorofi SA, Wickramasinghe ND, Ferreira N, Almidani L, Gupta VK, Karimi H, Alayu DS, Benziger CP, Fukumoto T, Mostafavi E, Redwan EMM, Gebrehiwot M, Khatab K, Koyanagi A, Krapp F, Lee S, Noori M, Qattea I, Rosenthal VD, Sakshaug JW, Wagaye B, Zare I, Ortega-Altamirano DV, Murillo-Zamora E, Vervoort D, Silva DAS, Oulhaj A, Herrera-Serna BY, Mehra R, Amir-Behghadami M, Adib N, Cortés S, Dang AK, Nguyen BT, Mokdad AH, Hay SI, Murray CJL, Lozano R, García PJ. Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019. Front Public Health 2023; 11:1189861. [PMID: 37427272 PMCID: PMC10325574 DOI: 10.3389/fpubh.2023.1189861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 05/25/2023] [Indexed: 07/11/2023] Open
Abstract
Background Estimating and analyzing trends and patterns of health loss are essential to promote efficient resource allocation and improve Peru's healthcare system performance. Methods Using estimates from the Global Burden of Disease (GBD), Injuries, and Risk Factors Study (2019), we assessed mortality and disability in Peru from 1990 to 2019. We report demographic and epidemiologic trends in terms of population, life expectancy at birth (LE), mortality, incidence, prevalence, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) caused by the major diseases and risk factors in Peru. Finally, we compared Peru with 16 countries in the Latin American (LA) region. Results The Peruvian population reached 33.9 million inhabitants (49.9% women) in 2019. From 1990 to 2019, LE at birth increased from 69.2 (95% uncertainty interval 67.8-70.3) to 80.3 (77.2-83.2) years. This increase was driven by the decline in under-5 mortality (-80.7%) and mortality from infectious diseases in older age groups (+60 years old). The number of DALYs in 1990 was 9.2 million (8.5-10.1) and reached 7.5 million (6.1-9.0) in 2019. The proportion of DALYs due to non-communicable diseases (NCDs) increased from 38.2% in 1990 to 67.9% in 2019. The all-ages and age-standardized DALYs rates and YLLs rates decreased, but YLDs rates remained constant. In 2019, the leading causes of DALYs were neonatal disorders, lower respiratory infections (LRIs), ischemic heart disease, road injuries, and low back pain. The leading risk factors associated with DALYs in 2019 were undernutrition, high body mass index, high fasting plasma glucose, and air pollution. Before the COVID-19 pandemic, Peru experienced one of the highest LRIs-DALYs rates in the LA region. Conclusion In the last three decades, Peru experienced significant improvements in LE and child survival and an increase in the burden of NCDs and associated disability. The Peruvian healthcare system must be redesigned to respond to this epidemiological transition. The new design should aim to reduce premature deaths and maintain healthy longevity, focusing on effective coverage and treatment of NCDs and reducing and managing the related disability.
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Affiliation(s)
- Maria Jesus Rios-Blancas
- School of Public Health of Mexico, National Institute of Public Health, Cuernavaca, Mexico
- Carlos Slim Foundation, Mexico City, Mexico
| | - Victoria Pando-Robles
- Infectious Disease Research Center, National Institute of Public Health, Cuernavaca, Mexico
| | - Christian Razo
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States
| | - Cesar P. Carcamo
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Walter Mendoza
- Peru Country Office, United Nations Population Fund (UNFPA), Lima, Peru
| | - Kevin Pacheco-Barrios
- Spaulding Rehabilitation Hospital, Harvard University, Boston, MA, United States
- Universidad San Ignacio de Loyola (University of Saint Ignatius of Loyola), Lima, Peru
| | - J. Jaime Miranda
- CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia (Cayetano Heredia Peruvian University), Lima, Peru
- Department of Medicine, Universidad Peruana Cayetano Heredia (Cayetano Heredia Peruvian University), Lima, Peru
| | - Van Charles Lansingh
- HelpMeSee, New York, NY, United States
- Mexican Institute of Ophthalmology, Queretaro, Mexico
| | - Takele Gezahegn Demie
- School of Public Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Manika Saha
- Department of Humanities and Social Sciences, Deakin University, Melbourne, VIC, Australia
- Department of Human-Centred Computing, Monash University, Melbourne, VIC, Australia
| | | | - Arzu Yigit
- Department of Health Management, Süleyman Demirel Üniversitesi (Süleyman Demirel University), Isparta, Türkiye
| | - Lucero Cahuana-Hurtado
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Pamela R. Chacón-Uscamaita
- Emerge, Emerging Diseases and Climate Change Research Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Eduardo Bernabe
- Faculty of Dentistry, Oral and Craniofacial Sciences, King’s College London, London, United Kingdom
| | - Carlos Culquichicon
- Universidad Privada Norbert Wiener, Centro de Investigación Epidemiológica en Salud Global, Lima, Peru
| | | | - Rosario Cárdenas
- Department of Health Care, Metropolitan Autonomous University, Mexico City, Mexico
| | | | | | | | - Seyed Afshin Shorofi
- Medical-Surgical Nursing, Mazandaran University of Medical Sciences, Sari, Iran
- College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
| | | | - Nuno Ferreira
- Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Louay Almidani
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Doheny Image Reading and Research Lab (DIRRL) - Doheny Eye Institute, University of California, Los Angeles, Los Angeles, CA, United States
| | - Vivek Kumar Gupta
- Faculty of Medicine Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Hanie Karimi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Daniel Shewaye Alayu
- Department of Epidemiology and Biostatistics, University of Gondar, Gondar, Ethiopia
| | | | | | - Ebrahim Mostafavi
- Department of Medicine, Stanford University, Palo Alto, CA, United States
- Stanford Cardiovascular Institute, Stanford University, Palo Alto, CA, United States
| | - Elrashdy Moustafa Mohamed Redwan
- Department Biological Sciences, King Abdulaziz University, Jeddah, Egypt
- Department of Protein Research, Research and Academic Institution, Alexandria, Egypt
| | - Mesfin Gebrehiwot
- Department of Environmental Health, Wollo University, Dessie, Ethiopia
| | - Khaled Khatab
- Health and Wellbeing, Sheffield Hallam University, Sheffield, United Kingdom
| | - Ai Koyanagi
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Sant Boi de Llobregat, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Fiorella Krapp
- Instituto de Medicina Tropical Alexander von Humboldt (Alexander von Humboldt Institute for Tropical Medicine), Cayetano Heredia University, Lima, Peru
- Doctoral School of Biomedical Sciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Seung Lee
- Department of Precision Medicine, Sungkyunkwan University, Suwon-si, Republic of Korea
| | - Maryam Noori
- Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Ibrahim Qattea
- Department of Neonatology, Case Western Reserve University, Cleveland, OH, United States
| | - Victor Daniel Rosenthal
- International Nosocomial Infection Control Consortium, Independent Consultant, Buenos Aires, Argentina
| | - Joseph W. Sakshaug
- Institute for Employment Research, University of Warwick, Coventry, United Kingdom
- Department of Statistics, Ludwig Maximilians University, Munich, Germany
| | - Birhanu Wagaye
- Department of Public Health Nutrition, Wollo University, Dessie, Ethiopia
- Infection Prevention and Control and Water, Sanitation and Hygiene Unit, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Iman Zare
- Research and Development Department, Sina Medical Biochemistry Technologies Co. Ltd., Shiraz, Iran
| | | | - Efrén Murillo-Zamora
- Clinical Epidemiology Research Unit, Mexican Institute of Social Security, Villa de Alvarez, Mexico
- Postgraduate in Medical Sciences, Universidad de Colima, Colima, Mexico
| | - Dominique Vervoort
- Department of Health Policy and Management, Johns Hopkins University, Baltimore, MD, United States
| | | | - Abderrahim Oulhaj
- Department of Epidemiology and Population Health, Khalifa University, Abu Dhabi, United Arab Emirates
| | - Brenda Yuliana Herrera-Serna
- Departamento de Salud Oral (Department of Oral Health), Universidad Autónoma de Manizales (Autonomous University of Manizales), Manizales, Colombia
| | - Rahul Mehra
- Food Science and Technology, Maharishi Markandeshwar (Deemed to be University), Ambala, Haryana, India
| | - Mehrdad Amir-Behghadami
- Road Traffic Injury Research Center, Iranian International Safe Community Support Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Health Service Management, Iranian Center of Excellence in Health Management, Tabriz, Iran
| | - Nasrin Adib
- Department of Veterinary Pathobiology, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Sandra Cortés
- Department of Public Health, Pontifical Catholic University of Chile, Santiago, Chile
- Research Line in Environmental Exposures and Health Effects at Population Level, Centro de Desarrollo Urbano Sustentable (CEDEUS), Advanced Center for Chronic Diseases (ACCDIS), Santiago, Chile
| | - Anh Kim Dang
- Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam
| | - Binh Thanh Nguyen
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, United States
| | - Ali H. Mokdad
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, United States
| | - Simon I. Hay
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, United States
| | - Christopher J. L. Murray
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, United States
| | - Rafael Lozano
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, United States
| | - Patricia J. García
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
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Pacheco-Barrios K, Pimenta DC, Pessotto AV, Fregni F. Motor Cortex Inhibition and Facilitation Correlates with Fibromyalgia Compensatory Mechanisms and Pain: A Cross-Sectional Study. Biomedicines 2023; 11:1543. [PMID: 37371638 DOI: 10.3390/biomedicines11061543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 04/26/2023] [Accepted: 05/23/2023] [Indexed: 06/29/2023] Open
Abstract
The role of transcranial magnetic stimulation (TMS) measures as biomarkers of fibromyalgia syndrome (FMS) phenotypes is still unclear. We aimed to determine the clinical correlates of TMS measures in FMS patients. We conducted a cross-sectional analysis that included 58 patients. We performed standardized TMS assessments, including resting motor threshold (MT), motor-evoked potential (MEP), short intracortical inhibition (SICI), and intracortical facilitation (ICF). Sociodemographic, clinical questionnaires, and quantitative sensory testing were collected from all of the patients. Univariate and multivariate linear regression models were built to explore TMS-associated factors. We found that SICI did not significantly correlate with pain levels but was associated with sleepiness, comorbidities, disease duration, and anxiety. On the other hand, ICF showed a positive correlation with pain levels and a negative correlation with body mass index (BMI). BMI was a negative effect modifier of the ICF and pain association. The clinical correlates of MT and MEP were scarce. Our results suggest that SICI and ICF metrics are potential phenotyping biomarkers in FMS related to disease compensation and levels of pain perception, respectively. The clinical translation of TMS paired-pulse protocols represents an opportunity for a mechanistic understanding of FMS and the future development of precision treatments.
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Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
- Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima 15024, Peru
| | - Danielle Carolina Pimenta
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Anne Victorio Pessotto
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
- Laboratório de Imunohematologia e Hematologia Forense (LIM40), Departamento de Medicina Legal, Ética Médica e Medicina Social e do Trabalho, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HC da FMUSP), São Paulo 05403-010, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
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35
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Pinto CB, Pacheco-Barrios K, Saleh Velez FG, Gunduz ME, Münger M, Fregni F. Detangling the Structural Neural Correlates Associated with Resting versus Dynamic Phantom Limb Pain Intensity Using a Voxel-based Morphometry Analysis. Pain Med 2023; 24:528-537. [PMID: 36583548 PMCID: PMC10406160 DOI: 10.1093/pm/pnac205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 09/23/2022] [Accepted: 10/20/2022] [Indexed: 12/31/2022]
Abstract
The management of phantom limb pain (PLP) is still challenging due to a partial understanding of its neurophysiological mechanisms. Structural neuroimaging features are potential biomarkers. However, only a few studies assessed their correlations with clinical severity and treatment response. This study aims to explore the association between brain gray matter volume (GMV) with phantom limb manifestations severity and PLP improvement after neuromodulatory treatments (transcranial direct current stimulation and mirror therapy). Voxel-based morphometry analyses and functional decoding using a reverse inference term-based meta-analytic approach were used. We included 24 lower limb traumatic amputees with moderate to severe PLP. We found that alterations of cortical GMV were correlated with PLP severity but not with other clinical manifestations. Less PLP severity was associated with larger brain clusters GMV in the non-affected prefrontal, insula (non-affected mid-anterior region), and bilateral thalamus. However, only the insula cluster survived adjustments. Moreover, the reverse inference meta-analytic approach revealed that the found insula cluster is highly functionally connected to the contralateral insula and premotor cortices, and the decoded psychological processes related to this cluster were "rating," "sustained attention," "impulsivity, " and "suffering." Moreover, we found that responders to neuromodulatory treatment have higher GMV in somatosensory areas (total volume of S1 and S2) in the affected hemisphere at baseline, compared to non-responders, even after adjustments.
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Affiliation(s)
| | | | - Faddi G Saleh Velez
- Department of Neurology, University of Chicago Medical Center, University of Chicago, Chicago, IL 60637, United States
| | - Muhammed E Gunduz
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, United States
| | - Marionna Münger
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, United States
| | - Felipe Fregni
- Corresponding author: Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, 96 13th Street, Charlestown, Boston, MA 02129, USA.
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Guidetti M, Giannoni-Luza S, Bocci T, Pacheco-Barrios K, Bianchi AM, Parazzini M, Ionta S, Ferrucci R, Maiorana NV, Verde F, Ticozzi N, Silani V, Priori A. Modeling Electric Fields in Transcutaneous Spinal Direct Current Stimulation: A Clinical Perspective. Biomedicines 2023; 11:biomedicines11051283. [PMID: 37238953 DOI: 10.3390/biomedicines11051283] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/12/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
Clinical findings suggest that transcutaneous spinal direct current stimulation (tsDCS) can modulate ascending sensitive, descending corticospinal, and segmental pathways in the spinal cord (SC). However, several aspects of the stimulation have not been completely understood, and realistic computational models based on MRI are the gold standard to predict the interaction between tsDCS-induced electric fields and anatomy. Here, we review the electric fields distribution in the SC during tsDCS as predicted by MRI-based realistic models, compare such knowledge with clinical findings, and define the role of computational knowledge in optimizing tsDCS protocols. tsDCS-induced electric fields are predicted to be safe and induce both transient and neuroplastic changes. This could support the possibility to explore new clinical applications, such as spinal cord injury. For the most applied protocol (2-3 mA for 20-30 min, active electrode over T10-T12 and the reference on the right shoulder), similar electric field intensities are generated in both ventral and dorsal horns of the SC at the same height. This was confirmed by human studies, in which both motor and sensitive effects were found. Lastly, electric fields are strongly dependent on anatomy and electrodes' placement. Regardless of the montage, inter-individual hotspots of higher values of electric fields were predicted, which could change when the subjects move from a position to another (e.g., from the supine to the lateral position). These characteristics underlines the need for individualized and patient-tailored MRI-based computational models to optimize the stimulation protocol. A detailed modeling approach of the electric field distribution might contribute to optimizing stimulation protocols, tailoring electrodes' configuration, intensities, and duration to the clinical outcome.
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Affiliation(s)
- Matteo Guidetti
- Aldo Ravelli Research Center for Neurotechnology and Experimental Neurotherapeutics, Department of Health Sciences, University of Milan, 20142 Milan, Italy
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
| | - Stefano Giannoni-Luza
- Sensory-Motor Lab (SeMoLa), Department of Ophthalmology-University of Lausanne, Jules Gonin Eye Hospital/Fondation Asile des Aveugles, 1015 Lausanne, Switzerland
| | - Tommaso Bocci
- Aldo Ravelli Research Center for Neurotechnology and Experimental Neurotherapeutics, Department of Health Sciences, University of Milan, 20142 Milan, Italy
- III Neurology Clinic, ASST-Santi Paolo e Carlo University Hospital, 20142 Milan, Italy
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, MA 02129, USA
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Lima 15024, Peru
| | - Anna Maria Bianchi
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy
| | - Marta Parazzini
- Istituto di Elettronica e di Ingegneria Dell'Informazione e delle Telecomunicazioni (IEIIT), Consiglio Nazionale delle Ricerche (CNR), 10129 Milan, Italy
| | - Silvio Ionta
- Sensory-Motor Lab (SeMoLa), Department of Ophthalmology-University of Lausanne, Jules Gonin Eye Hospital/Fondation Asile des Aveugles, 1015 Lausanne, Switzerland
| | - Roberta Ferrucci
- III Neurology Clinic, ASST-Santi Paolo e Carlo University Hospital, 20142 Milan, Italy
- Department of Oncology and Hematology, University of Milan, 20122 Milan, Italy
| | - Natale Vincenzo Maiorana
- Aldo Ravelli Research Center for Neurotechnology and Experimental Neurotherapeutics, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Federico Verde
- Department of Neurology, Istituto Auxologico Italiano IRCCS, 20149 Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, 20122 Milan, Italy
| | - Nicola Ticozzi
- Department of Neurology, Istituto Auxologico Italiano IRCCS, 20149 Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, 20122 Milan, Italy
| | - Vincenzo Silani
- Department of Neurology, Istituto Auxologico Italiano IRCCS, 20149 Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, 20122 Milan, Italy
| | - Alberto Priori
- Aldo Ravelli Research Center for Neurotechnology and Experimental Neurotherapeutics, Department of Health Sciences, University of Milan, 20142 Milan, Italy
- III Neurology Clinic, ASST-Santi Paolo e Carlo University Hospital, 20142 Milan, Italy
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Pacheco-Barrios K, Velasquez-Rimachi V, Navarro-Flores A, Huerta-Rosario A, Morán-Mariños C, Molina RA, Farroñay-García C, Metcalf T, Fregni F, Alva-Díaz C. Primary headache disorders in Latin America and the Caribbean: A meta-analysis of population-based studies. Cephalalgia 2023; 43:3331024221128265. [PMID: 36606574 DOI: 10.1177/03331024221128265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND In this manuscript, we aim to systematically estimate the pooled prevalence and incidence of primary headaches and its subtypes (migraine, tension-type headache, and chronic headaches) in Latin America and the Caribbean, describing its epidemiological profile and associated factors. METHODS We systematically searched PubMed/MEDLINE, Scopus, and LILACS (From conception to March 2021), for populational studies reporting the epidemiology of primary headaches and their associated factors in Latin America and the Caribbean. The data extraction was conducted independently. We performed random-effect model meta-analysis of prevalence (overall primary headaches and by subtypes) and associated factors, assessed potential sources of heterogeneity, the risk of bias, publication bias, and the evidence certainty (GRADE methodology). RESULTS We included 32 populational studies (38 subpopulations, n = 63,813). The prevalence of primary headaches was 41.4% (95% CI 31.1-52.2%; n = 54,357), 15% for migraine (95% CI 12.0-18.3; n = 53,658 individuals), 20.6% for tension-type headache (95% CI 12.4-30.2; n = 25,840), and 6% for chronic headaches (95% CI 3.3-9.6; n = 21,720), with high between-study heterogeneity. No incidence data was found. Female sex, white ethnicity, high BMI, comorbid mental health disorders, and low-back pain were associated with higher prevalence of primary headaches. The prevalence was less in rural areas. CONCLUSION In Latin America and the Caribbean, primary headaches are highly prevalent affecting young females disproportionally. The prevalence of chronic headaches is higher than in other systematic global and regional estimations. The presence of comorbidities as modifiable risk factors should encourage their integration as targets for community-based preventive and therapeutic interventions. PROTOCOL REGISTRATION NUMBER CRD42018105116.
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Affiliation(s)
- Kevin Pacheco-Barrios
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.,SYNAPSIS Mental Health and Neurology, Lima, Peru.,Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA.,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Victor Velasquez-Rimachi
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru.,Facultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Alba Navarro-Flores
- Georg-August-University Göttingen, International Max Planck Research School for Neurosciences, Göttingen, Germany
| | | | - Cristian Morán-Mariños
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru.,Unidad de Investigación en Bibliometría, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru
| | | | - Chandel Farroñay-García
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru.,Instituto Nacional de Salud, INS, Lima, Peru
| | - Tatiana Metcalf
- Red de Eficacia Clínica y Sanitaria, REDECS, Lima, Peru.,Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación, Hospital Daniel Alcides Carrión, Callao, Peru
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, USA.,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Carlos Alva-Díaz
- Unidad de Investigación en Bibliometría, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru
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Gonçalves FDT, Pacheco-Barrios K, Rebello-Sanchez I, Castelo-Branco L, de Melo PS, Parente J, Cardenas-Rojas A, Firigato I, Pessotto AV, Imamura M, Simis M, Battistella L, Fregni F. Association of Mu opioid receptor (A118G) and BDNF (G196A) polymorphisms with rehabilitation-induced cortical inhibition and analgesic response in chronic osteoarthritis pain. Int J Clin Health Psychol 2023; 23:100330. [PMID: 36199368 PMCID: PMC9508345 DOI: 10.1016/j.ijchp.2022.100330] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/23/2022] [Accepted: 07/23/2022] [Indexed: 01/02/2023] Open
Abstract
Background/objective Chronic pain due to osteoarthritis (OA) is a prevalent cause of global disability. New biomarkers are needed to improve treatment allocation, and genetic polymorphisms are promising candidates. Method We aimed to assess the association of OPRM1 (A118G and C17T) and brain-derived neurotrophic factor (BDNF [G196A]) polymorphisms with pain-related outcomes and motor cortex excitability metrics (measured by transcranial magnetic stimulation) in 113 knee OA patients with chronic pain. We performed adjusted multivariate regression analyses to compare carriers versus non-carriers in terms of clinical and neurophysiological characteristics at baseline, and treatment response (pain reduction and increased cortical inhibitory tonus) after rehabilitation. Results Compared to non-carriers, participants with polymorphisms on both OPRM1 (A118G) and BDNF (G196A) genes were less likely to improve pain after rehabilitation (85 and 72% fewer odds of improvement, respectively). Likewise, both carriers of OPRM1 polymorphisms (A118G and C17T) were also less likely to improve cortical inhibition (short intracortical inhibition [SICI], and intracortical facilitation [ICF], respectively). While pain and cortical inhibition improvement did not correlate in the total sample, the presence of OPRM1 (A118G) and BDNF (G196A) polymorphisms moderated this relationship. Conclusions These results underscore the promising role of combining genetic and neurophysiological markers to endotype the treatment response in this population.
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Pimenta DC, Lima D, Slawka E, Pacheco-Barrios K, Fregni F. Editorial: Bench to Bedside - the translation of intracortical inhibition marker to clinical practice. Princ Pract Clin Res 2022; 8:92-97. [PMID: 37449292 PMCID: PMC10343941 DOI: 10.21801/ppcrj.2022.83.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Affiliation(s)
- Danielle Carolina Pimenta
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Daniel Lima
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Eric Slawka
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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40
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Uehara L, Corrêa JCF, Ritti R, Leite P, de Faria DRG, Pacheco-Barrios K, Castelo-Branco L, Fregni F, Corrêa FI. Transcutaneous auricular vagus nerve stimulation effects on inflammatory markers and clinical evolution of patients with COVID-19: a pilot randomized clinical trial. Expert Rev Med Devices 2022; 19:915-920. [DOI: 10.1080/17434440.2022.2154147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Laura Uehara
- Rehabilitation Sciences, Nove de Julho University, São Paulo, Brazil
| | | | - Raphael Ritti
- Rehabilitation Sciences, Nove de Julho University, São Paulo, Brazil
| | - Paulo Leite
- Rehabilitation Sciences, Nove de Julho University, São Paulo, Brazil
| | | | - Kevin Pacheco-Barrios
- Harvard Medical School, Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, Mass, USA
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Luis Castelo-Branco
- Harvard Medical School, Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, Mass, USA
| | - Felipe Fregni
- Harvard Medical School, Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, Mass, USA
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41
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Marques LM, Barbosa SP, Pacheco-Barrios K, Goncalves FT, Imamura M, Battistella LR, Simis M, Fregni F. Motor event-related synchronization as an inhibitory biomarker of pain severity, sensitivity, and chronicity in patients with knee osteoarthritis. Neurophysiol Clin 2022; 52:413-426. [DOI: 10.1016/j.neucli.2022.09.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 09/20/2022] [Accepted: 09/26/2022] [Indexed: 11/06/2022] Open
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Brunoni AR, Ekhtiari H, Antal A, Auvichayapat P, Baeken C, Benseñor IM, Bikson M, Boggio P, Borroni B, Brighina F, Brunelin J, Carvalho S, Caumo W, Ciechanski P, Charvet L, Clark VP, Cohen Kadosh R, Cotelli M, Datta A, Deng ZD, De Raedt R, De Ridder D, Fitzgerald PB, Floel A, Frohlich F, George MS, Ghobadi-Azbari P, Goerigk S, Hamilton RH, Jaberzadeh SJ, Hoy K, Kidgell DJ, Zonoozi AK, Kirton A, Laureys S, Lavidor M, Lee K, Leite J, Lisanby SH, Loo C, Martin DM, Miniussi C, Mondino M, Monte-Silva K, Morales-Quezada L, Nitsche MA, Okano AH, Oliveira CS, Onarheim B, Pacheco-Barrios K, Padberg F, Nakamura-Palacios EM, Palm U, Paulus W, Plewnia C, Priori A, Rajji TK, Razza LB, Rehn EM, Ruffini G, Schellhorn K, Zare-Bidoky M, Simis M, Skorupinski P, Suen P, Thibaut A, Valiengo LCL, Vanderhasselt MA, Vanneste S, Venkatasubramanian G, Violante IR, Wexler A, Woods AJ, Fregni F. Digitalized transcranial electrical stimulation: A consensus statement. Clin Neurophysiol 2022; 143:154-165. [PMID: 36115809 PMCID: PMC10031774 DOI: 10.1016/j.clinph.2022.08.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/16/2022] [Accepted: 08/20/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Although relatively costly and non-scalable, non-invasive neuromodulation interventions are treatment alternatives for neuropsychiatric disorders. The recent developments of highly-deployable transcranial electric stimulation (tES) systems, combined with mobile-Health technologies, could be incorporated in digital trials to overcome methodological barriers and increase equity of access. The study aims are to discuss the implementation of tES digital trials by performing a systematic scoping review and strategic process mapping, evaluate methodological aspects of tES digital trial designs, and provide Delphi-based recommendations for implementing digital trials using tES. METHODS We convened 61 highly-productive specialists and contacted 8 tES companies to assess 71 issues related to tES digitalization readiness, and processes, barriers, advantages, and opportunities for implementing tES digital trials. Delphi-based recommendations (>60% agreement) were provided. RESULTS The main strengths/opportunities of tES were: (i) non-pharmacological nature (92% of agreement), safety of these techniques (80%), affordability (88%), and potential scalability (78%). As for weaknesses/threats, we listed insufficient supervision (76%) and unclear regulatory status (69%). Many issues related to methodological biases did not reach consensus. Device appraisal showed moderate digitalization readiness, with high safety and potential for trial implementation, but low connectivity. CONCLUSIONS Panelists recognized the potential of tES for scalability, generalizability, and leverage of digital trials processes; with no consensus about aspects regarding methodological biases. SIGNIFICANCE We further propose and discuss a conceptual framework for exploiting shared aspects between mobile-Health tES technologies with digital trials methodology to drive future efforts for digitizing tES trials.
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Affiliation(s)
- Andre R Brunoni
- Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, São Paulo, Brazil; Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
| | - Hamed Ekhtiari
- Laureate Institute for Brain Research (LIBR), Tulsa, OK, USA
| | - Andrea Antal
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Paradee Auvichayapat
- Department of Physiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Chris Baeken
- Vrije Universiteit Brussel (VUB): Department of Psychiatry University Hospital (UZBrussel), Brussels, Belgium; Department of Head and Skin, Ghent University Hospital, Ghent University, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium; Eindhoven University of Technology, Department of Electrical Engineering, the Netherlands
| | - Isabela M Benseñor
- Center for Clinical and Epidemiological Research, University of São Paulo, São Paulo, Brazil
| | - Marom Bikson
- The Department of Biomedical Engineering, The City College of New York, The City University of New York, NY, USA
| | - Paulo Boggio
- Social and Cognitive Neuroscience Laboratory, Center for Biological Science and Health, Mackenzie Presbyterian University, São Paulo, Brazil
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy
| | - Filippo Brighina
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Jerome Brunelin
- Centre Hospitalier le Vinatier, Bron, France; INSERM U1028, CNRS UMR 5292, PSYR2 Team, Centre de recherche en Neurosciences de Lyon (CRNL), Université Lyon 1, Lyon, France
| | - Sandra Carvalho
- Translational Neuropsychology Lab, Department of Education and Psychology and William James Center for Research (WJCR), University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Wolnei Caumo
- Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil; Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil; Pain and Palliative Care Service at HCPA, Brazil; Department of Surgery, School of Medicine, UFRGS, Brazil
| | - Patrick Ciechanski
- Faculty of Medicine and Dentistry, University of Alberta, 1-002 Katz Group Centre for Pharmacy and Health Research, Edmonton, Alberta, Canada
| | - Leigh Charvet
- Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA
| | - Vincent P Clark
- Psychology Clinical Neuroscience Center, Department of Psychology, The University of New Mexico, Albuquerque, NM, USA
| | - Roi Cohen Kadosh
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Maria Cotelli
- Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Abhishek Datta
- Research and Development, Soterix Medical Inc., New York, USA
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Rudi De Raedt
- Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
| | - Dirk De Ridder
- Section of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Monash University Department of Psychiatry, Camberwell, Victoria, Australia
| | - Agnes Floel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany; German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - Flavio Frohlich
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA; Carolina Center for Neurostimulation, University of North Carolina, Chapel Hill, NC, USA; Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA; Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, USA; Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, USA; Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Mark S George
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, USA
| | - Peyman Ghobadi-Azbari
- Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran; Department of Biomedical Engineering, Shahed University, Tehran, Iran
| | - Stephan Goerigk
- Department of Psychiatry and Psychotherapy, LMU Hospital, Munich, Germany; Department of Psychological Methodology and Assessment, LMU, Munich, Germany; Hochschule Fresenius, University of Applied Sciences, Munich, Germany
| | - Roy H Hamilton
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Shapour J Jaberzadeh
- Department of Physiotherapy, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Kate Hoy
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Monash University Department of Psychiatry, Camberwell, Victoria, Australia
| | - Dawson J Kidgell
- Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, Australia
| | - Arash Khojasteh Zonoozi
- Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran; Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Adam Kirton
- Department of Clinical Neurosciences and Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, GIGA Institute, University of Liège, Liege, Belgium
| | - Michal Lavidor
- Bar Ilan University, Department of Psychology, and the Gonda Brain Research Center, Israel
| | - Kiwon Lee
- Ybrain Corporation, Gyeonggi-do, Republic of Korea
| | - Jorge Leite
- INPP, Portucalense University, Porto, Portugal
| | - Sarah H Lisanby
- Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Colleen Loo
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Black Dog Institute, Sydney, NSW, Australia
| | - Donel M Martin
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Black Dog Institute, Sydney, NSW, Australia
| | - Carlo Miniussi
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Marine Mondino
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy; Centre Hospitalier le Vinatier, Bron, France
| | - Katia Monte-Silva
- Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, UFPE, Recife, PE, Brazil; NAPeN Network (Núcleo de Assistência e Pesquisa em Neuromodulação), Brazil
| | - Leon Morales-Quezada
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA 02215, USA
| | - Michael A Nitsche
- Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany; Department of Neurology, University Medical Hospital Bergmannsheil, Bochum, Germany
| | - Alexandre H Okano
- NAPeN Network (Núcleo de Assistência e Pesquisa em Neuromodulação), Brazil; Center for Mathematics, Computation, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil; Brazilian Institute of Neuroscience and Neurotechnology (BRAINN/CEPID-FAPESP), University of Campinas, Campinas, São Paulo, Brazil
| | - Claudia S Oliveira
- Master's and Doctoral Program in Health Sciences, Faculty of Medical Sciences, Santa Casa de São Paulo, São Paulo, Brazil; Master's and Doctoral Program in Human Movement and Rehabilitation, Evangelical University of Goiás, Anápolis, Brazil
| | | | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ester M Nakamura-Palacios
- Laboratory of Cognitive Sciences and Neuropsychopharmacology, Program of Post-Graduation in Physiological Sciences, Health Sciences Center, Federal University of Espirito Santo, Vitória, ES, Brazil
| | - Ulrich Palm
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Munich, Germany; Medical Park Chiemseeblick, Rasthausstr. 25, 83233 Bernau-Felden, Germany
| | - Walter Paulus
- Department of Neurology. Ludwig Maximilians University Munich, Klinikum Großhadern, Marchioninistr, München, Germany
| | - Christian Plewnia
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Neurophysiology and Interventional Neuropsychiatry, University of Tübingen, Tübingen, Germany
| | - Alberto Priori
- Aldo Ravelli Research Center for Neurotechnology and Experimental Neurotherapeutics, Department of Health Sciences, University of Milan, Milan, Italy
| | - Tarek K Rajji
- Centre for Addiction and Mental Health, Toronto, Canada; Temerty Faculty of Medicine, University of Toronto, Toronto, Canada; Toronto Dementia Research Alliance, Toronto, Canada
| | - Lais B Razza
- Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | | | | | - Mehran Zare-Bidoky
- Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran; School of Medicine, Shahid-Sadoughi University of Medical Sciences, Yazd, Iran
| | - Marcel Simis
- Physical and Rehabilitation Medicine Institute, General Hospital, Medical School of the University of Sao Paulo, São Paulo, Brazil
| | | | - Paulo Suen
- Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Aurore Thibaut
- Coma Science Group, GIGA-Consciousness & Centre du Cerveau, University and University Hospital of Liège, Liège, Belgium
| | - Leandro C L Valiengo
- Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Ghent University Hospital, Ghent University, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium
| | - Sven Vanneste
- Lab for Clinical & Integrative Neuroscience, Trinity College of Neuroscience, Trinity College Dublin, Ireland
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India
| | - Ines R Violante
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Anna Wexler
- Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA; Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Choudhary D, Thomas M, Pacheco-Barrios K, Zhang Y, Alonso-Coello P, Schünemann H, Hazlewood G. Methods to Summarize Discrete-Choice Experiments in a Systematic Review: A Scoping Review. Patient 2022; 15:629-639. [PMID: 35829927 DOI: 10.1007/s40271-022-00587-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Systematic reviews of discrete-choice experiments (DCEs) are being increasingly conducted. The objective of this scoping review was to identify and describe the methodologies that have been used to summarize results across DCEs. METHODS We searched the electronic databases MEDLINE and EMBASE from inception to March 18, 2021, to identify English-language systematic reviews of patient preferences that included at least two DCEs and extracted data on attribute importance. The methods used to summarize results across DCEs were classified into narrative, semi-quantitative, and quantitative (meta-analytic) approaches and compared. Approaches to characterize the extent of preference heterogeneity were also described. RESULTS From 7362 unique records, we identified 54 eligible reviews from 2010 to Mar 2021, across a broad range of health conditions. Most (83%) used a narrative approach to summarize findings of DCEs, often citing differences in studies as the reason for not formally pooling findings. Semi-quantitative approaches included summarizing the frequency of the most important attributes, the frequency of attribute statistical significance, or tabulated comparisons of attribute importance for each pair of attributes. One review conducted a meta-analysis using the maximum acceptable risk. While reviews often commented on the heterogeneity of patient preferences, few (6%) addressed this systematically across studies. CONCLUSION While not commonly used, several semi-quantitative and one quantitative approach for synthesizing results of DCEs were identified, which may be useful for generating summary estimates across DCEs when appropriate. Further work is needed to assess the validity and usefulness of these approaches.
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Affiliation(s)
- Daksh Choudhary
- Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Megan Thomas
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Boston, MA, USA
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Sintesis de Evidencias en Salud, Lima, Peru
| | - Yuan Zhang
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Pablo Alonso-Coello
- Instituto de Investigación Biomédica (IIB Sant Pau), Centro Cochrane Iberoamericano, Barcelona, Spain
| | - Holger Schünemann
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Glen Hazlewood
- Department of Medicine, University of Calgary, Calgary, AB, Canada.
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
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44
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Corrêa FI, Souza PHL, Uehara L, Ritti-Dias RM, Oliveira da Silva G, Segheto W, Pacheco-Barrios K, Fregni F, Corrêa JCF. Transcutaneous Auricular Vagus Nerve Stimulation Improves Inflammation but Does Not Interfere with Cardiac Modulation and Clinical Symptoms of Individuals with COVID-19: A Randomized Clinical Trial. Life (Basel) 2022; 12:life12101644. [PMID: 36295080 PMCID: PMC9604701 DOI: 10.3390/life12101644] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/12/2022] [Accepted: 10/15/2022] [Indexed: 11/16/2022] Open
Abstract
Transcranial auricular vagus nerve stimulation (taVNS) has shown effectiveness in reducing inflammation and depression. Thus, this study evaluated its effect on inflammation, cardiac autonomic modulation, and clinical symptoms in individuals affected by COVID-19. Methods: There were 52 randomized participants hospitalized with COVID-19 diagnosis who were to receive active (a-taVNS) or sham taVNS (s-taVNS) for 90 min twice a day for seven consecutive days. Interleukin 6 (IL-6), 10 (IL-10), cortisol, C-reactive protein (CRP), heart rate variability (HRV), and clinical symptoms were assessed before and after seven days of treatment. There were also seven- and fourteen-day follow-ups for clinical symptoms, including anxiety and depression levels, as well as a six-month follow-up for memory and attention levels. Results: There was significant reduction in CRP −23.9%, (95% CI −46.3 to −1.4) and IL-6 −37.7%, (95% CI −57.6 to −17.7) for the a-taVNS group. There were no changes in IL-10, cortisol levels, or in HRV results (p > 0.05) in both groups. There were no changes regarding clinical symptoms, except for a significant decrease in depression level (−2.85, 95% CI −5.44 to −0.27) in the a-taVNS group. Conclusion: taVNS showed effects on CRP, IL-6, and depression levels; however, it did not affect other clinical symptoms.
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Affiliation(s)
- Fernanda Ishida Corrêa
- Doctoral and Master’s Programs in Rehabilitation Sciences, Nove de Julho University, São Paulo 01525-000, Brazil
- Correspondence: ; Tel.: +55-11-973440380
| | - Paulo Henrique Leite Souza
- Doctoral and Master’s Programs in Rehabilitation Sciences, Nove de Julho University, São Paulo 01525-000, Brazil
| | - Laura Uehara
- Doctoral and Master’s Programs in Rehabilitation Sciences, Nove de Julho University, São Paulo 01525-000, Brazil
| | - Raphael Mendes Ritti-Dias
- Doctoral and Master’s Programs in Rehabilitation Sciences, Nove de Julho University, São Paulo 01525-000, Brazil
| | - Gustavo Oliveira da Silva
- Doctoral and Master’s Programs in Rehabilitation Sciences, Nove de Julho University, São Paulo 01525-000, Brazil
| | - Wellington Segheto
- Doctoral and Master’s Programs in Rehabilitation Sciences, Nove de Julho University, São Paulo 01525-000, Brazil
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Unidad de Investigación para la Generación y Síntesede Evidencias en Salud, Universidad San Ignacio de Loyola, Lima 15024, Peru
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - João Carlos Ferrari Corrêa
- Doctoral and Master’s Programs in Rehabilitation Sciences, Nove de Julho University, São Paulo 01525-000, Brazil
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Heijmans M, Poortvliet R, Van der Gaag M, González-González AI, Beltran Puerta J, Canelo-Aybar C, Valli C, Ballester M, Rocha C, Garcia ML, Salas-Gama K, Kaloteraki C, Santero M, Niño de Guzmán E, Spoiala C, Gurung P, Moaddine S, Willemen F, Cools I, Bleeker J, Kancheva A, Ertl J, Laure T, Kancheva I, Pacheco-Barrios K, Zafra-Tanaka J, Mavridis D, Angeliki Veroniki A, Zevgiti S, Seitidis G, Alonso-Coello P, Groene O, Sunol R, Orrego C. Using a Taxonomy to Systematically Identify and Describe Self-Management Interventions Components in Randomized Trials for COPD. Int J Environ Res Public Health 2022; 19:ijerph191912685. [PMID: 36231985 PMCID: PMC9566761 DOI: 10.3390/ijerph191912685] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/26/2022] [Accepted: 09/30/2022] [Indexed: 05/19/2023]
Abstract
Self-management interventions (SMIs) may improve outcomes in Chronic Obstructive Pulmonary Disease (COPD). However, accurate comparisons of their relative effectiveness are challenging, partly due to a lack of clarity and detail regarding the intervention content being evaluated. This study systematically describes intervention components and characteristics in randomized controlled trials (RCTs) related to COPD self-management using the COMPAR-EU taxonomy as a framework, identifying components that are insufficiently incorporated into the design of the intervention or insufficiently reported. Overall, 235 RCTs published between 2010 and 2018, from a systematic review were coded using the taxonomy, which includes 132 components across four domains: intervention characteristics, expected patient (or caregiver) self-management behaviours, patient relevant outcomes, and target population characteristics. Risk of bias was also assessed. Interventions mainly focused on physical activity (67.4%), and condition-specific behaviours like breathing exercise (63.5%), self-monitoring (50.8%), and medication use (33.9%). Support techniques like education and skills-training, self-monitoring, and goal setting (over 35% of the RCTs) were mostly used for this. Emotional-based techniques, problem-solving, and shared decision-making were less frequently reported (less than 15% of the studies). Numerous SMIs components were insufficiently incorporated into the design of COPD SMIs or insufficiently reported. Characteristics like mode of delivery, intensity, location, and providers involved were often not described. Only 8% of the interventions were tailored to the target population's characteristics. Outcomes that are considered important by patients were hardly taken into account. There is still a lot to improve in both the design and description of SMIs for COPD. Using a framework such as the COMPAR-EU SMI taxonomy may contribute to better reporting and to better informing of replication efforts. In addition, prospective use of the taxonomy for developing and reporting intervention content would further aid in building a cumulative science of effective SMIs in COPD.
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Affiliation(s)
- Monique Heijmans
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
- Correspondence:
| | - Rune Poortvliet
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Marieke Van der Gaag
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Ana I. González-González
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 28029 Madrid, Spain
| | - Jessica Beltran Puerta
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Carlos Canelo-Aybar
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Claudia Valli
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Marta Ballester
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 28029 Madrid, Spain
| | - Claudio Rocha
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Montserrat León Garcia
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Karla Salas-Gama
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Chrysoula Kaloteraki
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Marilina Santero
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Ena Niño de Guzmán
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | - Cristina Spoiala
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Pema Gurung
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Saida Moaddine
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Fabienne Willemen
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Iza Cools
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Julia Bleeker
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Angelina Kancheva
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Julia Ertl
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Tajda Laure
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Ivana Kancheva
- Netherlands Institute for Health Services Research (NIVEL), 3513 Utrecht, The Netherlands
| | - Kevin Pacheco-Barrios
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
| | - Jessica Zafra-Tanaka
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
| | - Dimitris Mavridis
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece
| | - Areti Angeliki Veroniki
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B 1W8, Canada
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON M5S 3G8, Canada
| | - Stella Zevgiti
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece
| | - Georgios Seitidis
- Department of Primary Education, School of Education, University of Ioannina, 45110 Ioannina, Greece
| | - Pablo Alonso-Coello
- Iberoamerican Cochrane Centre, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain
| | | | - Rosa Sunol
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
| | - Carola Orrego
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain
- Faculty of Medicine, Universitat Autònoma de Barcelona (UAB), 08025 Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), 28029 Madrid, Spain
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46
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Pacheco-Barrios K, Carvalho S, Leite J, Caumo W, Fregni F. Editorial: Optimization strategies for pain management with neuromodulation. Front Pain Res (Lausanne) 2022; 3:1012790. [PMID: 36185771 PMCID: PMC9521376 DOI: 10.3389/fpain.2022.1012790] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/01/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States,Vicerrectorado de Investigacion, Unidad de Investigacion para la Generacion y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru,Correspondence: Kevin Pacheco-BarriosFelipe Fregni
| | - Sandra Carvalho
- Translational Neuropsychology Lab, Department of Education and Psychology, University of Aveiro, Aveiro, Portugal
| | - Jorge Leite
- Portucalense Institute for Human Development, INPP, Rua Dr. António Bernardino Almeida, Portucalense University, Porto, Portugal
| | - Wolnei Caumo
- Pain and Palliative Care Service, Laboratory of Pain and Neuromodulation, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States,Correspondence: Kevin Pacheco-BarriosFelipe Fregni
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Rebello-Sanchez I, Parente J, Pacheco-Barrios K, Marduy A, Pimenta DC, Lima D, Slawka E, Cardenas-Rojas A, Rosa GR, Nazim K, Datta A, Fregni F. Measuring Contralateral Silent Period Induced by Single-Pulse Transcranial Magnetic Stimulation to Investigate M1 Corticospinal Inhibition. J Vis Exp 2022. [DOI: 10.3791/64231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
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Castelo-Branco L, Cardenas-Rojas A, Rebello-Sanchez I, Pacheco-Barrios K, de Melo PS, Gonzalez-Mego P, Marduy A, Vasquez-Avila K, Costa Cortez P, Parente J, Teixeira PEP, Rosa G, McInnis K, Caumo W, Fregni F. Temporal Summation in Fibromyalgia Patients: Comparing Phasic and Tonic Paradigms. Front Pain Res 2022; 3:881543. [PMID: 35812016 PMCID: PMC9261961 DOI: 10.3389/fpain.2022.881543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/16/2022] [Indexed: 11/17/2022] Open
Abstract
Introduction Fibromyalgia (FM) is associated with dysfunctional pain modulation mechanisms, including central sensitization. Experimental pain measurements, such as temporal summation (TS), could serve as markers of central sensitization and have been previously studied in these patients, with conflicting results. Our objective in this study was to explore the relationships between two different protocols of TS (phasic and tonic) and test the associations between these measures and other clinical variables. Materials and Methods In this cross-sectional analysis of a randomized clinical trial, patients were instructed to determine their pain-60 test temperature, then received one train of 15 repetitive heat stimuli and rated their pain after the 1st and 15th stimuli: TSPS-phasic was calculated as the difference between those. We also administered a tonic heat test stimulus at the same temperature continuously for 30 s and asked them to rate their pain levels after 10 s and 30 s, calculating TSPS-tonic as the difference between them. We also collected baseline demographic data and behavioral questionnaires assessing pain, depression, fatigue, anxiety, sleepiness, and quality of life. We performed univariable analyses of the relationship between TSPS-phasic and TSPS-tonic, and between each of those measures and the demographic and clinical variables collected at baseline. We then built multivariable linear regression models to find predictors for TSPS-phasic and TSPS-tonic, while including potential confounders and avoiding collinearity. Results Fifty-two FM patients were analyzed. 28.85% developed summation during the TSPS-phasic protocol while 21.15% developed summation during the TSPS-tonic protocol. There were no variables associated TSPS phasic or tonic in the univariable analyses and both measures were not correlated. On the multivariate model for the TSPS-phasic protocol, we found a weak association with pain variables. BPI-pain subscale was associated with more temporal summation in the phasic protocol (ß = 0.38, p = 0.029), while VAS for pain was associated with less summation in the TSPS-tonic protocol (ß = −0.5, p = 0.009). Conclusion Our results suggest that, using heat stimuli with pain-60 temperatures, a TSPS-phasic protocol and a TSPS-tonic protocol are not correlated and could index different neural responses in FM subjects. Further studies with larger sample sizes would be needed to elucidate whether such responses could help differentiating subjects with FM into specific phenotypes.
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Affiliation(s)
- Luis Castelo-Branco
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Alejandra Cardenas-Rojas
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Ingrid Rebello-Sanchez
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Paulo S. de Melo
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Paola Gonzalez-Mego
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Anna Marduy
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Karen Vasquez-Avila
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Pablo Costa Cortez
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Instituto de Ciencias Biologicas, Departamento de Imunologia Basica e Aplicada, Manaus, Brazil
| | - Joao Parente
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Paulo E. P. Teixeira
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- MGH Institute of Health Professions, Boston, MA, United States
| | - Gleysson Rosa
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kelly McInnis
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA, United States
| | - Wolnei Caumo
- Pain and Palliative Care Service at Clinical Hospital of Porto Alegre (HCPA), Surgery Department, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- *Correspondence: Felipe Fregni
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Velásquez-Rimachi V, Chachaima-Mar J, Cárdenas-Baltazar EC, Loayza-Vidalon A, Morán-Mariños C, Pacheco-Barrios K, Posso M, Alva-Díaz C. Greater occipital nerve block for chronic migraine patients: A meta-analysis. Acta Neurol Scand 2022; 146:101-114. [PMID: 35726455 DOI: 10.1111/ane.13634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 04/05/2022] [Accepted: 05/01/2022] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Greater occipital nerve block (GONB) is a minimally invasive procedure frequently used in patients with chronic migraine (CM); however, the quality of the evidence supporting its use is still unknown. Therefore, we aimed to conduct a systematic review, meta-analysis and quality assessment of GONB local anaesthetics combined or not with corticosteroids to prevent CM. METHODS We searched Medline, Scopus and Web of Science up to October 2020. We included randomized control trials (RCT) and observational studies assessing GONB without language restrictions. Two researchers selected the studies, extracted the data and evaluated the risk of bias independently. The primary outcomes measured to assess efficacy were the change from baseline in the intensity and frequency of headache in the intervention group compared to placebo at a onetime point. We performed a meta-analysis with random effect models, and we evaluated random errors with trial sequential analysis (TSA). We assessed the risk of bias (ROB) with the ROB2 tool and the certainty of the evidence with GRADE. RESULTS We identified 2864 studies in the databases and included three RCTs for quantitative synthesis. Most ROB assessments were 'high risk' or 'some concerns'. GONB reduced the intensity of headaches at the end of the first month (MD: -1.35, 95% CI: -2.12 to -0.59) and the second month (MD: -2.10, CI 95%: -2.94 to -1.26) as well as the frequency of headaches (first month: MD: -4.45 days, 95% CI: -6.56 to -2.34 days; second month: MD: -5.49, 95% CI -8.94 to -2.03 days). Corticosteroids did not show a significant decrease in the frequency of headaches during the first month of treatment (MD: -1.1 days, 95% CI: -4.1 to 1.8, p = .45). Included trials reported similar adverse events between groups. The exploratory TSA showed inconclusive results. Overall, the quality of the evidence was very low because of the substantial risk of bias and imprecision. CONCLUSION The limited evidence available shows that GONB with local anaesthetics could reduce headache frequency and intensity compared to placebo, while adding corticosteroids did not show additional benefits. GONB was safe with a similar number of minor adverse events. However, our confidence in these estimates is very low since the evidence is based on a few trials, with a small sample size and a significant risk of bias. In addition, the exploratory TSA was inconclusive, so we need larger and specific trials.
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Affiliation(s)
- Victor Velásquez-Rimachi
- Red de Eficacia Clínica y Sanitaria, Lima, Peru.,Grupo de Investigación en Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Peru.,Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI), Hospital Daniel Alcides Carrión, Callao, Peru
| | - Jorge Chachaima-Mar
- Red de Eficacia Clínica y Sanitaria, Lima, Peru.,Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI), Hospital Daniel Alcides Carrión, Callao, Peru.,Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | | | - Cristian Morán-Mariños
- Red de Eficacia Clínica y Sanitaria, Lima, Peru.,Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI), Hospital Daniel Alcides Carrión, Callao, Peru.,Unidad de Investigación en Bibliometría, Universidad San Ignacio de Loyola, Lima, Peru
| | - Kevin Pacheco-Barrios
- Unidad de Investigación Para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.,Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Margarita Posso
- Department of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Carlos Alva-Díaz
- Grupo de Investigación en Neurociencia, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Peru.,Servicio de Neurología, Departamento de Medicina y Oficina de Apoyo a la Docencia e Investigación (OADI), Hospital Daniel Alcides Carrión, Callao, Peru.,Universidad Científica del Sur, Facultad de Ciencias de la Salud, Lima, Peru
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50
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Pacheco-Barrios K, Lima D, Pimenta D, Slawka E, Navarro-Flores A, Parente J, Rebello-Sanchez I, Cardenas-Rojas A, Gonzalez-Mego P, Castelo-Branco L, Fregni F. Motor cortex inhibition as a fibromyalgia biomarker: a meta-analysis of transcranial magnetic stimulation studies. Brain Netw Modul 2022; 1:88-101. [PMID: 35845034 PMCID: PMC9282159 DOI: 10.4103/2773-2398.348254] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Fibromyalgia (FM) is a common and refractory chronic pain condition with multiple clinical phenotypes. The current diagnosis is based on a syndrome identification which can be subjective and lead to under or over-diagnosis. Therefore, there is a need for objective biomarkers for diagnosis, phenotyping, and prognosis (treatment response and follow-up) in fibromyalgia. Potential biomarkers are measures of cortical excitability indexed by transcranial magnetic stimulation (TMS). However, no systematic analysis of current evidence has been performed to assess the role of TMS metrics as a fibromyalgia biomarker. Therefore, this study aims to evaluate evidence on corticospinal and intracortical motor excitability in fibromyalgia subjects and to assess the prognostic role of TMS metrics as response biomarkers in FM. We conducted systematic searches on PubMed/Medline, Embase, and Cochrane Central databases for observational studies and randomized controlled trials on fibromyalgia subjects that used TMS as an assessment. Three reviewers independently selected and extracted the data. Then, a random-effects model meta-analysis was performed to compare fibromyalgia and healthy controls in observational studies. Also, to compare active versus sham treatments, in randomized controlled trials. Correlations between changes in TMS metrics and clinical improvement were explored. The quality and evidence certainty were assessed following standardized approaches. We included 15 studies (696 participants, 474 FM subjects). The main findings were: (1) fibromyalgia subjects present less intracortical inhibition (mean difference (MD) = -0.40, 95% confidence interval (CI) -0.69 to -0.11) and higher resting motor thresholds (MD = 6.90 μV, 95% CI 4.16 to 9.63 μV) when compared to controls; (2) interventions such as exercise, pregabalin, and non-invasive brain stimulation increased intracortical inhibition (MD = 0.19, 95% CI 0.10 to 0.29) and cortical silent period (MD = 14.92 ms, 95% CI 4.86 to 24.98 ms), when compared to placebo or sham stimulation; (3) changes on intracortical excitability are correlated with clinical improvements - higher inhibition moderately correlates with less pain, depression, and pain catastrophizing; lower facilitation moderately correlates with less fatigue. Measures of intracortical inhibition and facilitation indexed by TMS are potential diagnostic and treatment response biomarkers for fibromyalgia subjects. The disruption in the intracortical inhibitory system in fibromyalgia also provides additional evidence that fibromyalgia has some neurophysiological characteristics of neuropathic pain. Treatments inducing an engagement of sensorimotor systems (e.g., exercise, motor imagery, and non-invasive brain stimulation) could restore the cortical inhibitory tonus in FM and induce clinical improvement.
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Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
- Universidad San Ignacio de Loyola, Vicerrectorado de
Investigación, Unidad de Investigación para la Generación y
Síntesis de Evidencias en Salud, Lima, Peru
| | - Daniel Lima
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
| | - Danielle Pimenta
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
| | - Eric Slawka
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
| | - Alba Navarro-Flores
- Georg-August-University Goettingen, International Max
Planck Research School for Neurosciences, Goettingen, Germany
| | - Joao Parente
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
| | - Ingrid Rebello-Sanchez
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
| | - Alejandra Cardenas-Rojas
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
| | - Paola Gonzalez-Mego
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
| | - Luis Castelo-Branco
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research
Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital,
Harvard Medical School, Boston, MA, USA
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