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Chirumamilla LG, Brim H, Pizuorno A, Oskrochi G, Ashktorab H. Covid-19 and Gastrointestinal Manifestations in Indian Patients: A Meta-Analysis. SOJ MICROBIOLOGY & INFECTIOUS DISEASES 2021; 8:1-7. [PMID: 36034468 PMCID: PMC9416913 DOI: 10.15226/sojmid/8/1/001107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND India has the second highest number of confirmed Coronavirus cases in the world after the USA with 29.3 million cases reported so far. We aimed to perform a systematic review and meta-analysis of the clinical characteristics, comorbidities, and outcomes of SARS-CoV-2 positive patients with special emphasis on Gastrointestinal (GI) manifestations. METHODS In this meta-analysis, we conducted a systematic review of high-quality articles on confirmed COVID-19 cases in India published in PubMed and Google Scholar between February 2020 and March 2021. Statistical descriptive analysis and correlation analyses of symptoms, comorbidities and outcomes were performed. RESULTS The mean age of the patients was 46.16 years. Of these, 67.53% were males. Overall, 6.4% patients died. Cough (37.79%) was the most common presenting symptom followed by fever (35.5%), nasal congestion, and rhinorrhea (23.60%) but, these symptoms were unrelated to outcome. Patients with shortness of breath (r = 0.69, p = 0.03) and fatigue/weakness (r = 0.95, p = 0.04) had high mortality. Hypertension and Diabetes Mellitus were the most common comorbidities but were not associated with negative outcome. Preexisting chronic kidney disease (r = 0.80, p = 0.01), mechanical ventilation (r = 0.895, p = 0.003) and ICU admission (r = 0.845, p = 0.008) correlated with poor outcome. GI symptoms were reported in 12.05% of the patients. Nausea and vomiting were the most prevalent GI symptoms, but diarrhea (r = 0.95, p = 0.004) was associated with significant mortality. CONCLUSION Overall, COVID-19 patients in India present with cough, fever, shortness of breath and fatigue as the main symptoms. Among GI symptoms, diarrhea was associated with fatal outcomes. However, more high-quality studies are needed for better understanding of the GI manifestations and their outcomes in the Indian population.
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Affiliation(s)
| | - Hassan Brim
- Department of Pathology and Cancer Center, Howard University College of Medicine, Washington, District of Columbia
| | - Antonio Pizuorno
- La Universidad del Zulia, Faculty of Medicine, School of Medicine, Maracaibo, Zulia state, Venezuela
| | - Gholamreza Oskrochi
- College of Engineering and Technology, American University of the Middle East, Kuwait
| | - Hassan Ashktorab
- Department of Pathology and Cancer Center, Howard University College of Medicine, Washington, District of Columbia
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Beltramo G, Cottenet J, Mariet AS, Georges M, Piroth L, Tubert-Bitter P, Bonniaud P, Quantin C. Chronic respiratory diseases are predictors of severe outcome in COVID-19 hospitalised patients: a nationwide study. Eur Respir J 2021; 58:13993003.04474-2020. [PMID: 34016619 PMCID: PMC8135927 DOI: 10.1183/13993003.04474-2020] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 05/01/2021] [Indexed: 12/12/2022]
Abstract
Background Influenza epidemics were initially considered to be a suitable model for the COVID-19 epidemic, but there is a lack of data concerning patients with chronic respiratory diseases (CRDs), who were supposed to be at risk of severe forms of COVID-19. Methods This nationwide retrospective cohort study describes patients with prior lung disease hospitalised for COVID-19 (March–April 2020) or influenza (2018–2019 influenza outbreak). We compared the resulting pulmonary complications, need for intensive care and in-hospital mortality depending on respiratory history and virus. Results In the 89 530 COVID-19 cases, 16.03% had at least one CRD, which was significantly less frequently than in the 45 819 seasonal influenza patients. Patients suffering from chronic respiratory failure, chronic obstructive pulmonary disease, asthma, cystic fibrosis and pulmonary hypertension were under-represented, contrary to those with lung cancer, sleep apnoea, emphysema and interstitial lung diseases. COVID-19 patients with CRDs developed significantly more ventilator-associated pneumonia and pulmonary embolism than influenza patients. They needed intensive care significantly more often and had a higher mortality rate (except for asthma) when compared with patients with COVID-19 but without CRDs or patients with influenza. Conclusions Patients with prior respiratory diseases were globally less likely to be hospitalised for COVID-19 than for influenza, but were at higher risk of developing severe COVID-19 and had a higher mortality rate compared with influenza patients and patients without a history of respiratory illness. There was a higher risk of developing severe COVID-19 and a higher mortality rate among patients with chronic respiratory diseases. This study suggests that these patients should have priority access to SARS-CoV-2 vaccination.https://bit.ly/3bcp2HC
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Affiliation(s)
- Guillaume Beltramo
- Reference Constitutive Center for Rare Lung Diseases, Department of Pulmonary Medicine and Intensive Care Unit, University Hospital, Dijon, France.,INSERM LNC- UMR 1231, Dijon, France.,University of Bourgogne-Franche-Comté, Dijon, France.,These two authors contributed equally to this work Lionel Piroth, Philippe Bonniaud, Marjolaine Georges and Catherine Quantin are full professors
| | - Jonathan Cottenet
- Biostatistics and Bioinformatics (DIM), Dijon University Hospital, Dijon, France; Bourgogne Franche-Comté University, Dijon, France.,These two authors contributed equally to this work Lionel Piroth, Philippe Bonniaud, Marjolaine Georges and Catherine Quantin are full professors
| | - Anne-Sophie Mariet
- Biostatistics and Bioinformatics (DIM), Dijon University Hospital, Dijon, France; Bourgogne Franche-Comté University, Dijon, France.,INSERM, CIC 1432, Dijon, France; Dijon University Hospital, Clinical Investigation Center, clinical epidemiology/ clinical trials unit, Dijon, France
| | - Marjolaine Georges
- Reference Constitutive Center for Rare Lung Diseases, Department of Pulmonary Medicine and Intensive Care Unit, University Hospital, Dijon, France.,University of Bourgogne-Franche-Comté, Dijon, France
| | - Lionel Piroth
- University of Bourgogne-Franche-Comté, Dijon, France.,INSERM, CIC 1432, Dijon, France; Dijon University Hospital, Clinical Investigation Center, clinical epidemiology/ clinical trials unit, Dijon, France.,Infectious Diseases Department, Dijon University Hospital, Dijon, France
| | - Pascale Tubert-Bitter
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France
| | - Philippe Bonniaud
- Reference Constitutive Center for Rare Lung Diseases, Department of Pulmonary Medicine and Intensive Care Unit, University Hospital, Dijon, France.,INSERM LNC- UMR 1231, Dijon, France.,University of Bourgogne-Franche-Comté, Dijon, France.,These two authors contributed equally to this work Lionel Piroth, Philippe Bonniaud, Marjolaine Georges and Catherine Quantin are full professors
| | - Catherine Quantin
- Biostatistics and Bioinformatics (DIM), Dijon University Hospital, Dijon, France; Bourgogne Franche-Comté University, Dijon, France.,INSERM, CIC 1432, Dijon, France; Dijon University Hospital, Clinical Investigation Center, clinical epidemiology/ clinical trials unit, Dijon, France.,Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France.,These two authors contributed equally to this work Lionel Piroth, Philippe Bonniaud, Marjolaine Georges and Catherine Quantin are full professors
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Ahrenfeldt LJ, Otavova M, Christensen K, Lindahl-Jacobsen R. Sex and age differences in COVID-19 mortality in Europe. Wien Klin Wochenschr 2021; 133:393-398. [PMID: 33351155 PMCID: PMC7755064 DOI: 10.1007/s00508-020-01793-9] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 11/30/2020] [Indexed: 01/08/2023]
Abstract
AIM To examine the magnitude of sex differences in survival from the coronavirus disease 2019 (COVID-19) in Europe across age groups and regions. We hypothesized that men have a higher mortality than women at any given age but that sex differences will decrease with age as only the healthiest men survive to older ages. METHODS We used population data from the Institut National D'Études Démographiques on cumulative deaths due to COVID-19 from February to June 2020 in 10 European regions: Denmark, Norway, Sweden, The Netherlands, England and Wales, France, Germany, Italy, Spain and Portugal. For each region, we calculated cumulative mortality rates stratified by age and sex and corresponding relative risks for men vs. women. RESULTS The relative risk of dying from COVID-19 was higher for men than for women in almost all age groups in all regions. The overall relative risk ranged from 1.11 (95% confidence interval, CI 1.01-1.23) in Portugal to 1.54 (95% CI 1.49-1.58) in France. In most regions, sex differences increased until the ages of 60-69 years, but decreased thereafter with the smallest sex difference at age 80+ years. CONCLUSION Despite variability in data collection and time coverage among regions, the study showed an overall similar pattern of sex differences in COVID-19 mortality in Europe.
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Affiliation(s)
- Linda Juel Ahrenfeldt
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.
| | - Martina Otavova
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark
- Interdisciplinary Center on Population Dynamics, University of Southern Denmark, 5000, Odense, Denmark
| | - Kaare Christensen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark
- Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, 5000, Odense, Denmark
| | - Rune Lindahl-Jacobsen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark
- Interdisciplinary Center on Population Dynamics, University of Southern Denmark, 5000, Odense, Denmark
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Pang R, Zhao J, Gan Z, Hu Z, Xue X, Wu Y, Qiao Q, Zhong A, Xia X, Liao H, Wang Z, Zhang L. Evolution of COVID-19 in patients with autoimmune rheumatic diseases. Aging (Albany NY) 2020; 12:23427-23435. [PMID: 33289698 PMCID: PMC7762508 DOI: 10.18632/aging.202193] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 10/20/2020] [Indexed: 01/08/2023]
Abstract
The characteristics of COVID-19 patients with autoimmune rheumatic diseases (AIRD) have rarely been reported. Patients with AIRD have suppressed immune defense function, which may increase their susceptibility to COVID-19. However, the immunosuppressive agents AIRD patients routinely used may be beneficial for protecting the cytokine storm caused by SARS-CoV-2. In this retrospective study, we included all confirmed cases in Huoshenshan Hospital from February 4 to April 9. Data were extracted from electronic medical records and were analyzed for clinical and laboratory features using SPSS (version 25.0). Of 3059 patients, 21 had the comorbidities with systematic lupus erythematosus (SLE) and/or rheumatoid arthritis (RA), including 5 with SLE, 15 with RA, and 1 with Rhupus. The proportion was 57.1% for severe cases, 61.9% for either severe or critical cases, and 4.8% for critical cases. The main manifestations, ARDS and ICU admission rate, as well as the mortality and length of hospital stay of COVID-19 in AIRD patients were similar to COVID-19 patients in the general population. Our preliminary experience shows that patients with AIRD tend to have a higher risk of SARS-CoV-2 infection, and may be at risk for a severe but less likely critical disease course. Further investigation is needed to understand the immunological features of these diseases.
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Affiliation(s)
- Rongrong Pang
- COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, The First School of Clinical Medicine, Southern Medical University, Nanjing 210002, Jiangsu, China
- Department of Laboratory Medicine, Nanjing Red Cross Blood Center, Nanjing 210003, Jiangsu, China
| | - Jun Zhao
- COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, The First School of Clinical Medicine, Southern Medical University, Nanjing 210002, Jiangsu, China
- Graduate School, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Zhenhua Gan
- Department of Medical Administration, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
- Joint Expert Group, Wuhan Huoshenshan Hospital, Wuhan 430100, Hubei, China
| | - Zhiliang Hu
- Nanjing Infectious Disease Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu, China
- School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Xiang Xue
- Department of Biochemistry and Molecular Biology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Yanjun Wu
- Department of Information, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
- Department of Information, Wuhan Huoshenshan Hospital, Wuhan 430100, Hubei, China
| | - Qinghua Qiao
- Medical and Technical Support Department, Pingdingshan Medical District, The 989th Hospital, Pingdingshan 467000, Henan, China
- Department of Laboratory Medicine and Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan 430100, Hubei, China
| | - Aifang Zhong
- Department of Laboratory Medicine and Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan 430100, Hubei, China
- Medical Technical Support Division, Changzhou Medical District, The 904th Hospital, Changzhou 213003, Jiangsu, China
| | - Xinyi Xia
- COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, The First School of Clinical Medicine, Southern Medical University, Nanjing 210002, Jiangsu, China
- Joint Expert Group, Wuhan Huoshenshan Hospital, Wuhan 430100, Hubei, China
- Department of Laboratory Medicine and Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan 430100, Hubei, China
| | - Hui Liao
- Department of Hematology, The Air Force Hospital from Eastern Theater of PLA, Nanjing 210002, Jiangsu, China
| | - Zhihua Wang
- Joint Expert Group, Wuhan Huoshenshan Hospital, Wuhan 430100, Hubei, China
- Department of Laboratory Medicine and Blood Transfusion, Wuhan Huoshenshan Hospital, Wuhan 430100, Hubei, China
- Department of Laboratory Medicine and Blood Transfusion, The 907th Hospital, Nanping 350702, Fujian, China
| | - Libo Zhang
- COVID-19 Research Center, Institute of Laboratory Medicine, Jinling Hospital, Nanjing University School of Medicine, The First School of Clinical Medicine, Southern Medical University, Nanjing 210002, Jiangsu, China
- Department of Laboratory Medicine, Nanjing Red Cross Blood Center, Nanjing 210003, Jiangsu, China
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