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de Paula Silva-Lalucci MP, Marques DCDS, Valdés-Badilla P, Andreato LV, Magnani Branco BH. Obesity as a Risk Factor for Complications and Mortality in Individuals with SARS-CoV-2: A Systematic Review. Nutrients 2024; 16:543. [PMID: 38398867 PMCID: PMC10892776 DOI: 10.3390/nu16040543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/08/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024] Open
Abstract
This systematic review aimed to analyze the available studies that identified overweight and/or obesity as a risk factor for mortality, use of respiratory support, and changes in biochemical markers in adults hospitalized with SARS-CoV-2. The PubMed, Web of Science, and Scopus databases were searched using PRISMA guidelines until January 2024. The protocol was registered with PROSPERO (code: CRD42024501551). Of the 473 articles, only 8 met the inclusion criteria (e.g., adult individuals aged 18 or over diagnosed with COVID-19 individuals with overweight and/or obesity). In addition, the Downs and Black tool was used to assess the quality of the studies. The studies analyzed totaled 9782 adults hospitalized for COVID-19, indicating that overweight and obesity are present in more than half of adults. Diseases such as diabetes mellitus and hypertension are more prevalent in adults with obesity. The systematic review also highlighted that a higher incidence of respiratory support is related to a higher incidence of hospitalization in intensive care units and that adults with overweight and obesity have a higher risk of mortality from COVID-19. Biochemical markers such as procalcitinin, C-reactive protein, and interleukin-6 are associated with the severity of COVID-19 infection. This systematic review exposed overweight and/or obesity as a risk factor for worse COVID-19 disease, as well as for the need for intensive care, respiratory support, mortality, and changes in essential blood markers.
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Affiliation(s)
- Marielle Priscila de Paula Silva-Lalucci
- Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar Institute of Science, Technology, and Innovation, Maringá 87050-390, Paraná, Brazil; (M.P.d.P.S.-L.); (D.C.d.S.M.)
- Graduate Program in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil
| | - Déborah Cristina de Souza Marques
- Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar Institute of Science, Technology, and Innovation, Maringá 87050-390, Paraná, Brazil; (M.P.d.P.S.-L.); (D.C.d.S.M.)
- Graduate Program in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil
| | - Pablo Valdés-Badilla
- Department of Physical Activity Sciences, Faculty of Education Sciences, Universidad Católica del Maule, Talca 3530000, Chile
- Sports Coach Career, School of Education, Universidad Viña del Mar, Viña del Mar 2520000, Chile
| | - Leonardo Vidal Andreato
- Higher School of Health Sciences, State University of Amazonas, Manaus 69065-001, Amazonas, Brazil;
| | - Braulio Henrique Magnani Branco
- Interdisciplinary Laboratory of Intervention in Health Promotion, Cesumar Institute of Science, Technology, and Innovation, Maringá 87050-390, Paraná, Brazil; (M.P.d.P.S.-L.); (D.C.d.S.M.)
- Graduate Program in Health Promotion, Cesumar University, Maringá 87050-390, Paraná, Brazil
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Yang Y, Song Y, Hou D. Obesity and COVID-19 Pandemics: Epidemiology, Mechanisms, and Management. Diabetes Metab Syndr Obes 2023; 16:4147-4156. [PMID: 38145256 PMCID: PMC10749174 DOI: 10.2147/dmso.s441762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/08/2023] [Indexed: 12/26/2023] Open
Abstract
Obesity is a principle causative factor of various metabolic dysfunctions, chronic inflammation, and multi-organ impairment. The global epidemic of obesity has constituted the greatest threat to global health. Emerging evidence has associated obesity with an increased risk of severe infection and poor outcomes from coronavirus disease 2019 (COVID-19). During current COVID-19 pandemic, the interaction between COVID-19 and obesity has exaggerated the disease burden of obesity more than ever before. Thus, there is an urgent need for consideration of universal measures to reduce the risk of complications and severe illness from severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in obesity population. In this review, we first summarized the clinical evidence on the effect of obesity on susceptibility, severity, and prognosis of COVID-19. Then we discussed and the underlying mechanisms, including respiratory pathophysiology of obesity, dysregulated inflammation, upregulated angiotensin-converting enzyme 2 (ACE2) expression, hyperglycemia, and adipokines. Finally, we proposed recommendations on how to reduce the spread and pandemic of SARS-CoV-2 infection by prevention and treatment of obesity.
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Affiliation(s)
- Yanping Yang
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, People’s Republic of China
| | - Yuanlin Song
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
- Shanghai Respiratory Research Institute, Shanghai, People’s Republic of China
| | - Dongni Hou
- Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
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Beitz JM, Kennedy-Evans KL. Good Things Don't Always Come in Small Packages: Comprehensive Care of Patients With Class 3 Obesity: An Integrative Review. J Wound Ostomy Continence Nurs 2023; 50:365-374. [PMID: 37713346 DOI: 10.1097/won.0000000000001010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
The epidemic of obesity and morbid obesity is straining the American health care system's ability to provide quality patient care. Patients with Class 3 (also referred to as morbid or severe) obesity require specialized equipment, unique approaches in the delivery of care, and understanding of the biopsychosocial pathophysiologic mechanisms underlying their condition. This article defines Class 3 obesity, its pathophysiology, and discusses issues that arise when providing quality care of these individuals including safe patient handling, right-sized equipment, and empathetic interpersonal care. We also discuss skin and wound care issues associated with Class 3 obesity.
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Affiliation(s)
- Janice M Beitz
- Janice M. Beitz, PhD, RN, CS, CNOR, CWOCN-AP, MAPWCA, ANEF, WOCNF, FNAP, FAAN, School of Nursing-Camden, Rutgers University, Camden, New Jersey
- Karen Lou Kennedy-Evans, RN, APRN-BC, FNP, University of Arizona College of Nursing, Tucson, and K.L. Kennedy LLC, Tucson, Arizona
| | - Karen Lou Kennedy-Evans
- Janice M. Beitz, PhD, RN, CS, CNOR, CWOCN-AP, MAPWCA, ANEF, WOCNF, FNAP, FAAN, School of Nursing-Camden, Rutgers University, Camden, New Jersey
- Karen Lou Kennedy-Evans, RN, APRN-BC, FNP, University of Arizona College of Nursing, Tucson, and K.L. Kennedy LLC, Tucson, Arizona
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Ferdous F, Arthurs N, Tully L, O’Brien S, Smith SM, Walsh A, O’Gorman CS, O’Malley G. Addressing child and adolescent obesity management in Ireland: identifying facilitators and barriers in clinical practice. Front Pediatr 2023; 11:1222604. [PMID: 37492613 PMCID: PMC10365269 DOI: 10.3389/fped.2023.1222604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 06/22/2023] [Indexed: 07/27/2023] Open
Abstract
Background Ireland's Model of Care for the Management of Overweight and Obesity outlines a plan for treating adolescent and child obesity (CO). However, engagement with key stakeholders is required to support its implementation and improve health services. Aim This study aims to map the perceived barriers and facilitators related to CO management across healthcare settings, professional disciplines, and regions in the Republic of Ireland (ROI). Materials and methods An online cross-sectional survey of registered healthcare professionals (HPs), designed to adhere to the Consolidated Framework for Implementation Research (CFIR), was co-developed by a project team consisting of researchers, healthcare professionals, and patient advocates. The survey was pilot tested with project stakeholders and distributed online to professional groups and via a social media campaign, between September 2021 and May 2022, using "SurveyMonkey." Data were summarised using descriptive statistics and thematic analyses. Themes were mapped to the CFIR framework to identify the type of implementation gaps that exist for treating obesity within the current health and social care system. Results A total of 184 HPs completed the survey including nurses (18%), physicians (14%), health and social care professionals (60%), and other HPs (8%). The majority were female (91%), among which 54% reported conducting growth monitoring with a third (32.6%) giving a diagnosis of paediatric/adolescent obesity as part of their clinical practice. Nearly half (49%) of the HPs reported having the resources needed for clinical assessment. However, 31.5% of the HPs reported having enough "time," and almost 10% of the HPs reported having no/limited access to suitable anthropometric measurement tools. Most HPs did not conduct obesity-related clinical assessments beyond growth assessment, and 61% reported having no paediatric obesity training. CFIR mapping identified several facilitators and barriers including time for clinical encounters, suitable materials and equipment, adequate training, perceived professional competency and self-efficacy, human equality and child-centredness, relative priorities, local attitudes, referral protocols, and long waiting times. Conclusions The findings provide actionable information to guide the implementation of the Model of Care for the Management of Overweight and Obesity in Ireland. Survey findings will now inform a qualitative study to explore implementation barriers and facilitators and prioritise actions to improve child and adolescent obesity management.
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Affiliation(s)
- Farzana Ferdous
- Obesity Research and Care Group, School of Physiotherapy, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Niamh Arthurs
- Obesity Research and Care Group, School of Physiotherapy, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Louise Tully
- Obesity Research and Care Group, School of Physiotherapy, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Sarah O’Brien
- Health Service Executive (HSE) Health and Wellbeing Division, Dublin, Ireland
| | - Susan M. Smith
- Discipline of Public Health and Primary Care, Trinity College, Dublin, Ireland
| | - Aisling Walsh
- Department of Epidemiology, Division of Population Health Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Clodagh S. O’Gorman
- School of Medicine, University of Limerick, Limerick, Ireland
- Department of Paediatrics, University Hospital Limerick, Limerick, Ireland
| | - Grace O’Malley
- Obesity Research and Care Group, School of Physiotherapy, RCSI University of Medicine and Health Sciences, Dublin, Ireland
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Pathophysiology of obesity and its associated diseases. Acta Pharm Sin B 2023. [DOI: 10.1016/j.apsb.2023.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
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Bahrampour N, Shiraseb F, Noori S, Clark CCT, Mirzaei K. Is there any putative mediatory role of inflammatory markers on the association between ultra-processed foods and resting metabolic rate? Front Nutr 2022; 9:932225. [PMID: 36313082 PMCID: PMC9606709 DOI: 10.3389/fnut.2022.932225] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
The resting metabolic rate (RMR) represents the largest component of total daily energy expenditure. The sale of ultra-processed foods (UPF) is increasing globally; however, UPF can have many adverse effects, including increasing inflammatory markers and altering RMRs. This cross-sectional study included 285 healthy overweight and obese women. Anthropometric measurements were evaluated using a bioelectrical impedance analyzer InBody 770 scanner. High-sensitivity C-reactive protein (hs-CRP), plasminogen activator-1 (PAI-1), monocyte chemoattractant protein (MCP-1), and interleukin-1 beta (IL-1β) blood levels were measured after a 12-h fasting. Indirect calorimetry was used to evaluate the RMR by using the Weir equation, and RMR deviation (RMR estimated - RMR actual), RMR per body mass index (BMI), and free fat mass (FFM) were estimated. A validated food frequency questionnaire (FFQ) was used, and seven groups of UPFs were extracted based on the NOVA method. A negative association between the RMR [β = -0.159, 95% confidence interval (CI): -0.471, -0.052, P = 0.044], RMR per BMI (β = -0.014, 95% CI: -0.025, -0.006, P = 0.036), and RMR per FFM (β = -0.241, 95% CI: -0.006, -0.000, P = 0.041) using the NOVA score was observed after adjusting for confounders. This association disappeared after inclusion of each inflammatory marker. All the markers may inversely mediate the relationship between the mentioned variables and the NOVA score. hs-CRP and MCP-1 also had a negative effect on the relationship between the NOVA score and RMR deviation. Finally, UPF intake is likely related with the RMR, mediated through changes in the production of hs-CRP, PAI-1, MCP-1, and IL-1β.
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Affiliation(s)
- Niki Bahrampour
- Department of Nutrition, Science and Research Branch, Islamic Azad University (SRBIAU), Tehran, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Sahar Noori
- Department of Nutrition, Science and Research Branch, Islamic Azad University (SRBIAU), Tehran, Iran
| | - Cain C. T. Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran,*Correspondence: Khadijeh Mirzaei, ;
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Gut Microbiota and COVID-19: Potential Implications for Disease Severity. Pathogens 2022; 11:pathogens11091050. [PMID: 36145482 PMCID: PMC9503814 DOI: 10.3390/pathogens11091050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/02/2022] [Accepted: 09/14/2022] [Indexed: 12/11/2022] Open
Abstract
The SARS-CoV-2 pandemic resulted in an unprecedented global crisis. SARS-CoV-2 primarily causes lung infection trough the binding of the virus with the ACE-2 cell receptor located on the surface of the alveolar epithelial cells. Notably, ACE-2 cell receptors are also expressed in the epithelial cells of the intestinal tract (GI). Recent data showed that the microbial communities of the GI might act as local and systematic inflammatory modulators. Gastrointestinal symptoms, including diarrhea, are frequently observed in infected individuals, and recent released data indicate that SARS-CoV-2 may also spread by fecal–oral transmission. Moreover, the gut microbiota’s ecosystem can regulate and be regulated by invading pathogens, including viruses, facilitating an effective immune response, which in turn results in less severe diseases. In this regard, increased SARS-CoV-2 mortality and morbidities appear to be frequently observed in elderly immunocompromised patients and in people with essential health problems, such as diabetes, who, indeed, tend to have a less diverse gut microbiota (dysbiosis). Therefore, it is important to understand how the interaction between the gut microbiota and SARS-CoV-2 might shape the intensity of the infection and different clinical outcomes. Here, we provide insights into the current knowledge of dysbiosis during SARS-CoV-2 infection and methods that may be used to re-establish a more correct microbiota composition.
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Shi X, Zheng Y, Cui H, Zhang Y, Jiang M. Exposure to outdoor and indoor air pollution and risk of overweight and obesity across different life periods: A review. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 242:113893. [PMID: 35917711 DOI: 10.1016/j.ecoenv.2022.113893] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/06/2022] [Accepted: 07/14/2022] [Indexed: 06/15/2023]
Abstract
Due to the highly evolved industrialization and modernization, air quality has deteriorated in most countries. As reported by the World Health Organization (WHO), air pollution is now considered as one of the major threats to global health and a principal risk factor for noncommunicable diseases. Meanwhile, the increasing worldwide prevalence of overweight and obesity is attracting more public attentions. Recently, accumulating epidemiological studies have provided evidence that overweight and obesity may be partially attributable to environmental exposure to air pollution. This review summarizes the epidemiological evidence for the correlation between exposure to various outdoor and indoor air pollutants (mainly particulate matter (PM), nitrogen oxides (NOx), ozone (O3), and polycyclic aromatic hydrocarbons (PAHs)) and overweight and obesity outcomes in recent years. Moreover, it discusses the multiple effects of air pollution during exposure periods throughout life and sex differences in populations. This review also describes the potential mechanism underlying the increased risk of obesity caused by air pollution, including inflammation, oxidative stress, metabolic imbalance, intestinal flora disorders and epigenetic modifications. Finally, this review proposes macro- and micro-measures to prevent the negative effects of air pollution exposure on the obesity prevalence.
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Affiliation(s)
- Xiaoyi Shi
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Yuxin Zheng
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Haiwen Cui
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Yuxi Zhang
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China
| | - Menghui Jiang
- School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao 266071, China.
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Sanoudou D, Hill MA, Belanger MJ, Arao K, Mantzoros CS. Editorial: Obesity, metabolic phenotypes and COVID-19. Metabolism 2022; 128:155121. [PMID: 35026232 PMCID: PMC8743503 DOI: 10.1016/j.metabol.2021.155121] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 12/27/2021] [Accepted: 12/29/2021] [Indexed: 02/07/2023]
Affiliation(s)
- Despina Sanoudou
- 4th Department of Internal Medicine, Clinical Genomics and Pharmacogenomics Unit, 'Attikon' Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Center for New Biotechnologies and Precision Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Molecular Biology Division, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Michael A Hill
- Dalton Cardiovascular Research Center and Department of Medical Pharmacology and Physiology, School of Medicine, University of Missouri, Columbia, 65211, MO, USA.
| | | | - Kevin Arao
- Department of Medicine, Boston VA Healthcare System and Boston University School of Medicine, Boston, MA 02115, USA
| | - Christos S Mantzoros
- Department of Medicine, Boston VA Healthcare System and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
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Wei G, Gu J, Gu Z, Du C, Huang X, Xing H, Li L, Zhang A, Hu X, Huo J. Olfactory Dysfunction in Patients With Coronavirus Disease 2019: A Review. Front Neurol 2022; 12:783249. [PMID: 35115994 PMCID: PMC8805677 DOI: 10.3389/fneur.2021.783249] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 12/14/2021] [Indexed: 01/08/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is wreaking havoc on public-health and economic systems worldwide. Among the several neurological symptoms of patients with COVID-19 reported in clinical practice, olfactory dysfunction (OD) is the most common. OD occurs as the earliest or the only clinical manifestation in some patients. Increasing research attention has focused on OD, which is listed as one of the main diagnostic symptoms of severe acute respiratory syndrome-coronavirus-2 infection. Multiple clinical and basic-science studies on COVID-19-induced OD are underway to clarify the underlying mechanism of action. In this review, we summarize the clinical characteristics, mechanisms, evaluation methods, prognosis, and treatment options of COVID-19-induced OD. In this way, we hope to improve the understanding of COVID-19-induced OD to aid early identification and precise intervention.
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Affiliation(s)
- Guoli Wei
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
- Nanjing Lishui District Hospital of Traditional Chinese Medicine, Nanjing, China
- Department of Oncology, Yangzhou University Medical College, Yangzhou, China
| | - Jialin Gu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
- The Third Medical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Zhancheng Gu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
- The Third Medical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Cheng Du
- Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaofei Huang
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
- The Third Medical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Haiyan Xing
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
| | - Lingchang Li
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
| | - Aiping Zhang
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
| | - Xingxing Hu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
- Nanjing Lishui District Hospital of Traditional Chinese Medicine, Nanjing, China
- Department of Oncology, Yangzhou University Medical College, Yangzhou, China
- *Correspondence: Xingxing Hu
| | - Jiege Huo
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, China
- Jiege Huo
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Campbell TW, Wilson MP, Roder H, MaWhinney S, Georgantas RW, Maguire LK, Roder J, Erlandson KM. Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data. Int J Med Inform 2021; 155:104594. [PMID: 34601240 PMCID: PMC8459591 DOI: 10.1016/j.ijmedinf.2021.104594] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 08/30/2021] [Accepted: 09/21/2021] [Indexed: 12/12/2022]
Abstract
Rationale Prognostic tools for aiding in the treatment of hospitalized COVID-19 patients could help improve outcome by identifying patients at higher or lower risk of severe disease. The study objective was to develop models to stratify patients by risk of severe outcomes during COVID-19 hospitalization using readily available information at hospital admission. Methods Hierarchical ensemble classification models were trained on a set of 229 patients hospitalized with COVID-19 to predict severe outcomes, including ICU admission, development of acute respiratory distress syndrome, or intubation, using easily attainable attributes including basic patient characteristics, vital signs at admission, and basic lab results collected at time of presentation. Each test stratifies patients into groups of increasing risk. An additional cohort of 330 patients was used for blinded, independent validation. Shapley value analysis evaluated which attributes contributed most to the models’ predictions of risk. Main results Test performance was assessed using precision (positive predictive value) and recall (sensitivity) of the final risk groups. All test cut-offs were fixed prior to blinded validation. In development and validation, the tests achieved precision in the lowest risk groups near or above 0.9. The proportion of patients with severe outcomes significantly increased across increasing risk groups. While the importance of attributes varied by test and patient, C-reactive protein, lactate dehydrogenase, and D-dimer were often found to be important in the assignment of risk. Conclusions Risk of severe outcomes for patients hospitalized with COVID-19 infection can be assessed using machine learning-based models based on attributes routinely collected at hospital admission.
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Affiliation(s)
| | - Melissa P Wilson
- Department of Medicine, Division of Personalized Medicine and Bioinformatics, University of Colorado-Anschutz Medical Campus, Aurora, CO, United States
| | | | - Samantha MaWhinney
- Department of Biostatistics and Informatics, University of Colorado, Colorado School of Public Health, United States
| | | | | | | | - Kristine M Erlandson
- Department of Medicine, Division of Infectious Diseases, University of Colorado-Anschutz Medical Campus, Aurora, CO, United States
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12
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Rabail R, Saleem J, Tanveer Z, Patching SG, Khalid AR, Sultan MT, Manzoor MF, Karrar E, Inam‐Ur‐Raheem M, Shabbir MA, Aadil RM. Nutritional and lifestyle changes required for minimizing the recovery period in home quarantined COVID-19 patients of Punjab, Pakistan. Food Sci Nutr 2021; 9:5036-5059. [PMID: 34518779 PMCID: PMC8426696 DOI: 10.1002/fsn3.2458] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 06/21/2021] [Accepted: 06/23/2021] [Indexed: 12/14/2022] Open
Abstract
The COVID-19 pandemic has introduced a new battle in human history for a safe and fearless life. Therefore, this cross-sectional survey was conducted (Punjab, Pakistan) on healthy recovered, home quarantined COVID-19 patients to draw conclusive health support guidelines in the fight against this pandemic. COVID-19 recovered patients (n = 80) of age ≥14 years were randomly selected during the period November 2020 to February 2021. A nutrition and lifestyle changes questionnaire, containing ten sections and seventy questions, was completed through the telephone/WhatsApp. Data were transferred into an Excel spreadsheet and statistically analyzed by applying chi-square, correlation, and a t test of independent values using SPSS-16 software. The patients had an age range of 14 to 80 years, of which 52 (65%) were male and 28 (35%) were female, and 32 (40%) had a normal BMI. The patients had a peak COVID-19 recovery period of 2 weeks, and a mean recovery period of 2.8 ± 1.4 weeks. Certain variables, including gender (males), age (>40 years), sleep (≤5 hr), less/no physical activity, obesity, diabetes mellitus, and autoimmune diseases, were significantly associated with delayed recovery. Poor nutritional outcomes, including lower intakes of water, legumes, nuts, meat, and milk/yogurt; and higher consumption of fast/fried/junk/spicy foods and cold water/drinks, were also significantly associated with a longer recovery period. The results were similar for not taking daily doses of multivitamins, and vitamins C, D, E, and zinc. This study identified that staying physically active, maintaining sensible body weight, having a sleep of 7 hr, consuming more foods of plant origin especially plant-based proteins from nuts and legumes, taking supplemental doses of multivitamins, vitamin D, E, and zinc, along with drinking ≥2 L of water daily can provide a significant role in early and safe recovery from COVID-19.
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Affiliation(s)
- Roshina Rabail
- National Institute of Food Science and TechnologyUniversity of AgricultureFaisalabadPakistan
| | - Javeria Saleem
- Department of Public Health, Institute of Social and Cultural StudiesUniversity of the PunjabLahorePakistan
| | - Zunera Tanveer
- Institute of Molecular Biology and Biotechnology (IMBB)University of LahoreLahorePakistan
- Department of PhysiologyBolan University of Medical and Health Sciences (BUMHS)QuettaPakistan
| | - Simon G. Patching
- School of Biomedical Sciences and Astbury Centre for Structural Molecular BiologyUniversity of LeedsLeedsUK
| | - Abdur Rauf Khalid
- Department of Livestock and Poultry ProductionFaculty of Veterinary SciencesBahauddin Zakariya UniversityMultanPakistan
| | | | | | - Emad Karrar
- Department of Food Engineering and TechnologyFaculty of Engineering and TechnologyUniversity GeziraWad MedaniSudan
| | - Muhammad Inam‐Ur‐Raheem
- National Institute of Food Science and TechnologyUniversity of AgricultureFaisalabadPakistan
| | - Muhammad Asim Shabbir
- National Institute of Food Science and TechnologyUniversity of AgricultureFaisalabadPakistan
| | - Rana Muhammad Aadil
- National Institute of Food Science and TechnologyUniversity of AgricultureFaisalabadPakistan
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Rodriguez-Leyva D, Pierce GN. The Impact of Nutrition on the COVID-19 Pandemic and the Impact of the COVID-19 Pandemic on Nutrition. Nutrients 2021; 13:nu13061752. [PMID: 34064053 PMCID: PMC8223988 DOI: 10.3390/nu13061752] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/13/2021] [Accepted: 05/20/2021] [Indexed: 12/12/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has had significant morbidity, mortality, social and financial implications for the global population. Despite this knowledge, we still know very little about how COVID-19 infection affects quality of life resulting from changes in nutritional behaviour and, conversely, how nutrition could modulate the epidemiology of COVID-19. In addition, the social isolation most have experienced due to the regulations imposed by governments during the COVID-19 pandemic may have also had effects on our nutritional behaviour. It is possible that nutritional interventions may have effects on the incidence of COVID-19 infection and mortality rates. The purpose of this review is to evaluate the current status of research on the topic of nutrition as it relates to the COVID-19 pandemic.
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Affiliation(s)
- Delfin Rodriguez-Leyva
- Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W3, Canada;
- Department of Internal Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W3, Canada
- Institute of Cardiovascular Sciences, Albrechtsen Research Centre, St. Boniface Hospital, 351 Tache Avenue, Winnipeg, MB R2H 2A6, Canada
| | - Grant N. Pierce
- Department of Physiology and Pathophysiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W3, Canada;
- Institute of Cardiovascular Sciences, Albrechtsen Research Centre, St. Boniface Hospital, 351 Tache Avenue, Winnipeg, MB R2H 2A6, Canada
- Canadian Centre for Agri-Food Research in Health and Medicine (CCARM), Albrechtsen Research Centre, St. Boniface Hospital, 351 Tache Avenue, Winnipeg, MB R2H 2A6, Canada
- Correspondence:
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