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Chesnaye NC, Ortiz A, Zoccali C, Stel VS, Jager KJ. The impact of population ageing on the burden of chronic kidney disease. Nat Rev Nephrol 2024; 20:569-585. [PMID: 39025992 DOI: 10.1038/s41581-024-00863-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/13/2024] [Indexed: 07/20/2024]
Abstract
The burden of chronic kidney disease (CKD) and its risk factors are projected to rise in parallel with the rapidly ageing global population. By 2050, the prevalence of CKD category G3-G5 may exceed 10% in some regions, resulting in substantial health and economic burdens that will disproportionately affect lower-income countries. The extent to which the CKD epidemic can be mitigated depends largely on the uptake of prevention efforts to address modifiable risk factors, the implementation of cost-effective screening programmes for early detection of CKD in high-risk individuals and widespread access and affordability of new-generation kidney-protective drugs to prevent the development and delay the progression of CKD. Older patients require a multidisciplinary integrated approach to manage their multimorbidity, polypharmacy, high rates of adverse outcomes, mental health, fatigue and other age-related symptoms. In those who progress to kidney failure, comprehensive conservative management should be offered as a viable option during the shared decision-making process to collaboratively determine a treatment approach that respects the values and wishes of the patient. Interventions that maintain or improve quality of life, including pain management and palliative care services when appropriate, should also be made available.
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Affiliation(s)
- Nicholas C Chesnaye
- ERA Registry, Amsterdam UMC location University of Amsterdam, Medical Informatics, Amsterdam, Netherlands
- Amsterdam Public Health Research Institute, Quality of Care, Amsterdam, the Netherlands
| | - Alberto Ortiz
- Department of Nephrology and Hypertension, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain
- RICORS2040, Madrid, Spain
| | - Carmine Zoccali
- Associazione Ipertensione Nefrologia Trapianto Renale (IPNET), c/o Nefrologia, Grande Ospedale Metropolitano, Reggio Calabria, Italy
- Institute of Molecular Biology and Genetics (Biogem), Ariano Irpino, Italy
- Renal Research Institute, New York, NY, USA
| | - Vianda S Stel
- ERA Registry, Amsterdam UMC location University of Amsterdam, Medical Informatics, Amsterdam, Netherlands
- Amsterdam Public Health Research Institute, Quality of Care, Amsterdam, the Netherlands
| | - Kitty J Jager
- ERA Registry, Amsterdam UMC location University of Amsterdam, Medical Informatics, Amsterdam, Netherlands.
- Amsterdam Public Health Research Institute, Quality of Care, Amsterdam, the Netherlands.
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Zhang G, Wang Z, Tong Z, Qin Z, Su C, Li D, Xu S, Li K, Zhou Z, Xu Y, Zhang S, Wu R, Li T, Zheng Y, Zhang J, Cheng K, Tang J. AI hybrid survival assessment for advanced heart failure patients with renal dysfunction. Nat Commun 2024; 15:6756. [PMID: 39117613 PMCID: PMC11310499 DOI: 10.1038/s41467-024-50415-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 07/10/2024] [Indexed: 08/10/2024] Open
Abstract
Renal dysfunction (RD) often characterizes the worse course of patients with advanced heart failure (AHF). Many prognosis assessments are hindered by researcher biases, redundant predictors, and lack of clinical applicability. In this study, we enroll 1736 AHF/RD patients, including data from Henan Province Clinical Research Center for Cardiovascular Diseases (which encompasses 11 hospital subcenters), and Beth Israel Deaconess Medical Center. We developed an AI hybrid modeling framework, assembling 12 learners with different feature selection paradigms to expand modeling schemes. The optimized strategy is identified from 132 potential schemes to establish an explainable survival assessment system: AIHFLevel. The conditional inference survival tree determines a probability threshold for prognostic stratification. The evaluation confirmed the system's robustness in discrimination, calibration, generalization, and clinical implications. AIHFLevel outperforms existing models, clinical features, and biomarkers. We also launch an open and user-friendly website www.hf-ai-survival.com , empowering healthcare professionals with enhanced tools for continuous risk monitoring and precise risk profiling.
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Affiliation(s)
- Ge Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Zeyu Wang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Zhuang Tong
- Henan Academy of Medical Big Data, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Zhen Qin
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Chang Su
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Demin Li
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Shuai Xu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China
| | - Kaixiang Li
- Henan Academy of Medical Big Data, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Zhaokai Zhou
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Yudi Xu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Shiqian Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ruhao Wu
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Teng Li
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Youyang Zheng
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Jinying Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China.
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China.
| | - Ke Cheng
- Department of Biomedical Engineering, Columbia University, New York City, New York, 10032, NY, USA.
| | - Junnan Tang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Henan Province Key Laboratory of Cardiac Injury and Repair, Zhengzhou, Henan, 450052, China.
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, 450052, Henan, China.
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Faucon AL, Lambert O, Massy Z, Drüeke TB, Combe C, Fouque D, Frimat L, Jacquelinet C, Laville M, Liabeuf S, Pecoits-Filho R, Hauguel-Moreau M, Mansencal N, de Pinho NA, Stengel B. Sex and the Risk of Atheromatous and Non-Atheromatous Cardiovascular Disease in CKD: Findings From the CKD-REIN Cohort Study. Am J Kidney Dis 2024:S0272-6386(24)00811-4. [PMID: 38925506 DOI: 10.1053/j.ajkd.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 03/26/2024] [Accepted: 04/14/2024] [Indexed: 06/28/2024]
Abstract
RATIONALE & OBJECTIVE Sex differences in cardiovascular disease (CVD) are well-established, but whether chronic kidney disease (CKD) modifies these risk differences, and whether they differ between atheromatous (ACVD) and non-atheromatous (N-ACVD) CVD is unknown. Assessing this interaction was the principal goal of this study. STUDY DESIGN Prospective cohort study. SETTING & PARTICIPANTS Adults enrolled in the CKD-Renal Epidemiology and Information Network (CKD-REIN) cohort from from 2013 to 2020, a nationally representative sample of 40 nephrology clinics in France. EXPOSURE Sex. OUTCOMES Fatal and non-fatal composite ACVD events (ischaemic coronary, cerebral, and peripheral artery disease) and composite N-ACVD events (heart failure, haemorrhagic stroke, and arrhythmias). ANALYTICAL APPROACH Multivariable cause-specific Cox proportional hazards models. RESULTS 1,044 women and 1,976 men with moderate to severe CKD (median age, 67 vs. 69; mean estimated glomerular filtration rate [eGFR], 32±12 vs. 33±12 mL/min/1.73m2) were studied. Over a median follow-up of 5.0 (interquartile range, 4.8;5.2) years, the ACVD rate (per 100 patient-years) was significantly lower in women than men: 2.1 (95% confidence interval: 1.6-2.5) vs 3.6 (3.2-4.0) (P<0.01), while the N-ACVD rate was not: 5.7 (5.0-6.5) vs 6.4 (5.8-7.0) (P=0.55). N-ACVD had a steeper relationship with eGFR than did ACVD. There was an interaction (P<0.01) between sex and baseline eGFR and the ACVD hazard: the adjusted hazard ratio for women compared to men was 0.42 (0.25;0.71) at 45 mL/min/1.73m2 and gradually attenuated at lower levels of eGFR, reaching 1.00 (0.62;1.63) at 16 mL/min/1.73m2. In contrast, the N-ACVD hazard did not differ between the sexes across the eGFR range studied. LIMITATIONS Cardiovascular biomarkers and sex hormones were not assessed. CONCLUSION This study shows how the lower risk of ACVD among women compared to men attenuates fully with kidney disease progression. The equal risk of N-ACVD between sexes across CKD stages and its steeper association with eGFR suggest an important contribution of CKD to the development of this CVD type.
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Affiliation(s)
- Anne-Laure Faucon
- Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
| | - Oriane Lambert
- Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
| | - Ziad Massy
- Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France; Department of Nephrology, AP-HP, CHU Ambroise Paré, Boulogne-Billancourt, France
| | - Tilman B Drüeke
- Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
| | - Christian Combe
- Department of Nephrology, transplantation, dialysis, CHU de Bordeaux, Université de Bordeaux, Bordeaux, France; Inserm U1026, Biotis, Bordeaux University, France
| | - Denis Fouque
- Department of Nephrology, CHU Lyon-Sud, Université de Lyon, Lyon, France; Inserm U1060, CARMEN, Lyon, France
| | - Luc Frimat
- Department of Nephrology, CHRU de Nancy, Vandoeuvre-lès-Nancy, France; Inserm CIC 1433, Clinical Epidemiology Unit, Vandoeuvre-lès-Nancy, France
| | | | - Maurice Laville
- Department of Nephrology, CHU Lyon-Sud, Université de Lyon, Lyon, France
| | - Sophie Liabeuf
- Department of Pharmacology, CHU Amiens-Picardie, MP3CV Unit, Université Picardie Jules Verne, Amiens, France
| | | | - Marie Hauguel-Moreau
- Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France; Department of Cardiology, AP-HP, CHU Ambroise Paré, Boulogne-Billancourt, France
| | - Nicolas Mansencal
- Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France; Department of Cardiology, AP-HP, CHU Ambroise Paré, Boulogne-Billancourt, France
| | - Natalia Alencar de Pinho
- Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France.
| | - Bénédicte Stengel
- Centre for research in Epidemiology and Population Health (CESP), Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
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Liu S, Liu JJ, Ang K, Lee J, Chan C, Gurung RL, Zheng H, Tang J, Lim SC. Incident heart failure and the subsequent risk of progression to end stage kidney disease in individuals with type 2 diabetes. Cardiovasc Diabetol 2024; 23:204. [PMID: 38879473 PMCID: PMC11180396 DOI: 10.1186/s12933-024-02279-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 05/17/2024] [Indexed: 06/19/2024] Open
Abstract
BACKGROUND Diabetic kidney disease is an established risk factor for heart failure. However, the impact of incident heart failure on the subsequent risk of renal failure has not been systematically assessed in diabetic population. We sought to study the risk of progression to end stage kidney disease (ESKD) after incident heart failure in Asian patients with type 2 diabetes. METHODS In this prospective cohort study, 1985 outpatients with type 2 diabetes from a regional hospital and a primary care facility in Singapore were followed for a median of 8.6 (interquartile range 6.2-9.6) years. ESKD was defined as a composite of progression to sustained eGFR below 15 ml/min/1.73m2, maintenance dialysis or renal death, whichever occurred first. RESULTS 180 incident heart failure events and 181 incident ESKD events were identified during follow-up. Of 181 ESKD events, 38 (21%) occurred after incident heart failure. Compared to those did not progress to ESKD after incident heart failure (n = 142), participants who progressed to ESKD after heart failure occurrence were younger, had higher HbA1c and higher urine albumin-to-creatinine ratio at baseline. The excess risk of ESKD manifested immediately after heart failure occurrence, persisted for two years and was moderated thereafter. Cox regression suggested that, compared to counterparts with no heart failure event, participants with heart failure occurrence had 9.6 (95% CI 5.0- 18.3) fold increased risk for incident ESKD after adjustment for baseline cardio-renal risk factors including eGFR and albuminuria. It appeared that heart failure with preserved ejection fraction had a higher risk for ESKD as compared to those with reduced ejection fraction (adjusted HR 13.7 [6.3-29.5] versus 6.5 [2.3-18.6]). CONCLUSION Incident heart failure impinges a high risk for progression to ESKD in individuals with type 2 diabetes. Our data highlight the need for intensive surveillance of kidney function after incident heart failure, especially within the first two years after heart failure diagnosis.
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Affiliation(s)
- Sylvia Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Jian-Jun Liu
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Keven Ang
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Janus Lee
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Clara Chan
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Resham L Gurung
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
- Cardiovascular and Metabolic Disorders Signature Research Program, DUKE-NUS Medical School, Singapore, 169857, Singapore
| | - Huili Zheng
- Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Justin Tang
- Department of Medicine, Khoo Teck Puat Hospital, Singapore, 768828, Singapore
| | - Su Chi Lim
- Saw Swee Hock School of Public Heath, National University of Singapore, Singapore, 117549, Singapore.
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore.
- Diabetes Centre, Khoo Teck Puat Hospital, Singapore, 768828, Singapore.
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 124] [Impact Index Per Article: 124.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Bedo D, Beaudrey T, Florens N. Unraveling Chronic Cardiovascular and Kidney Disorder through the Butterfly Effect. Diagnostics (Basel) 2024; 14:463. [PMID: 38472936 DOI: 10.3390/diagnostics14050463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/14/2024] [Accepted: 02/16/2024] [Indexed: 03/14/2024] Open
Abstract
Chronic Cardiovascular and Kidney Disorder (CCKD) represents a growing challenge in healthcare, characterized by the complex interplay between heart and kidney diseases. This manuscript delves into the "butterfly effect" in CCKD, a phenomenon in which acute injuries in one organ lead to progressive dysfunction in the other. Through extensive review, we explore the pathophysiology underlying this effect, emphasizing the roles of acute kidney injury (AKI) and heart failure (HF) in exacerbating each other. We highlight emerging therapies, such as renin-angiotensin-aldosterone system (RAAS) inhibitors, SGLT2 inhibitors, and GLP1 agonists, that show promise in mitigating the progression of CCKD. Additionally, we discuss novel therapeutic targets, including Galectin-3 inhibition and IL33/ST2 pathway modulation, and their potential in altering the course of CCKD. Our comprehensive analysis underscores the importance of recognizing and treating the intertwined nature of cardiac and renal dysfunctions, paving the way for more effective management strategies for this multifaceted syndrome.
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Affiliation(s)
- Dimitri Bedo
- Nephrology Department, Hopitaux Universitaires de Strasbourg, F-67091 Strasbourg, France
- Faculté de Médecine, Université de Strasbourg, Team 3072 "Mitochondria, Oxidative Stress and Muscle Protection", Translational Medicine Federation of Strasbourg (FMTS), F-67000 Strasbourg, France
| | - Thomas Beaudrey
- Nephrology Department, Hopitaux Universitaires de Strasbourg, F-67091 Strasbourg, France
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S 1109, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, ITI TRANSPLANTEX NG, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, F-67000 Strasbourg, France
| | - Nans Florens
- Nephrology Department, Hopitaux Universitaires de Strasbourg, F-67091 Strasbourg, France
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S 1109, Faculté de Médecine, Fédération Hospitalo-Universitaire OMICARE, ITI TRANSPLANTEX NG, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, F-67000 Strasbourg, France
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Hu Y, Hu A, Song S. Photoplethysmography for Assessing Microcirculation in Hypertensive Patients After Taking Antihypertensive Drugs: A Review. J Multidiscip Healthc 2024; 17:263-274. [PMID: 38250310 PMCID: PMC10799628 DOI: 10.2147/jmdh.s441440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
High blood pressure (BP) is a common disease and is associated with many chronic diseases. Measuring BP is essential for the treatment and management of many diseases, and therefore there is a growing need for a non-invasive, sleeveless and continuous BP monitoring device. With the development of technology, pulse waveform analysis using photoplethysmography (PPG) has become more feasible for evaluating BP. This study aimed to evaluate the changes of vascular elasticity and blood volume over time by using the characteristic parameters extracted by PPG. We reviewed the latest progress and literature on the observation of capillary network characteristics in hypertensive and non-hypertensive patients by PPG, the influence of different drugs on microcirculation characteristics in hypertensive patients with PPG, and further explored the key relationship between microcirculation and hypertension. We found that the PPG waveform produced by the fingertips of hypertensive patients is very different from that of healthy people, and the PPG waveform changes significantly during diastolic period after antihypertensive treatment. With the rapid development of medical technology, people can get more intuitive microcirculation image data, which provides beneficial help for the comprehensive understanding of hypertension.
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Affiliation(s)
- Yanchun Hu
- Department of Orthopaedics, the Fifth People’s Hospital of Jinan, Jinan, People’s Republic of China
| | - Anming Hu
- Taishan College, Shandong University, Jinan, People’s Republic of China
| | - Shenju Song
- Department of Nursing, the Fifth People’s Hospital of Jinan, Jinan, People’s Republic of China
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Khan SS, Coresh J, Pencina MJ, Ndumele CE, Rangaswami J, Chow SL, Palaniappan LP, Sperling LS, Virani SS, Ho JE, Neeland IJ, Tuttle KR, Rajgopal Singh R, Elkind MSV, Lloyd-Jones DM. Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association. Circulation 2023; 148:1982-2004. [PMID: 37947094 DOI: 10.1161/cir.0000000000001191] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.
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