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Article ; Online: Predictors of mortality in patients with coronavirus disease 2019: a systematic review and meta-analysis.

Shi, Changcheng / Wang, Limin / Ye, Jian / Gu, Zhichun / Wang, Shuying / Xia, Junbo / Xie, Yaping / Li, Qingyu / Xu, Renjie / Lin, Nengming

BMC infectious diseases

2021 Volume 21, Issue 1, Page(s) 663

Abstract: ... especially in patients with severe illness. We conducted a systematic review and meta-analysis to assess ... Background: Coronavirus disease 2019 (COVID-19) is associated with a high mortality rate ... the potential predictors of mortality in patients with COVID-19.: Methods: PubMed, EMBASE, the Cochrane ...

Abstract	Background: Coronavirus disease 2019 (COVID-19) is associated with a high mortality rate, especially in patients with severe illness. We conducted a systematic review and meta-analysis to assess the potential predictors of mortality in patients with COVID-19. Methods: PubMed, EMBASE, the Cochrane Library, and three electronic Chinese databases were searched from December 1, 2019 to April 29, 2020. Eligible studies reporting potential predictors of mortality in patients with COVID-19 were identified. Unadjusted prognostic effect estimates were pooled using the random-effects model if data from at least two studies were available. Adjusted prognostic effect estimates were presented by qualitative analysis. Results: Thirty-six observational studies were identified, of which 27 were included in the meta-analysis. A total of 106 potential risk factors were tested, and the following important predictors were associated with mortality: advanced age, male sex, current smoking status, preexisting comorbidities (especially chronic kidney, respiratory, and cardio-cerebrovascular diseases), symptoms of dyspnea, complications during hospitalization, corticosteroid therapy and a severe condition. Additionally, a series of abnormal laboratory biomarkers of hematologic parameters, hepatorenal function, inflammation, coagulation, and cardiovascular injury were also associated with fatal outcome. Conclusion: We identified predictors of mortality in patients with COVID-19. These findings could help healthcare providers take appropriate measures and improve clinical outcomes in such patients.
MeSH term(s)	Adrenal Cortex Hormones/administration & dosage ; Age Distribution ; COVID-19/diagnosis ; COVID-19/mortality ; Cardiovascular Diseases/epidemiology ; Comorbidity ; Databases, Factual ; Dyspnea/epidemiology ; Female ; Hospitalization/statistics & numerical data ; Humans ; Inflammation/epidemiology ; Kidney/physiopathology ; Liver/physiopathology ; Male ; Observational Studies as Topic ; Prognosis ; Risk Factors ; Sex Distribution ; Smokers/statistics & numerical data
Chemical Substances	Adrenal Cortex Hormones
Language	English
Publishing date	2021-07-08
Publishing country	England
Document type	Journal Article ; Meta-Analysis ; Systematic Review
ISSN	1471-2334
ISSN (online)	1471-2334
DOI	10.1186/s12879-021-06369-0
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Article ; Online: Predictors of adverse prognosis in COVID-19

Figliozzi, S. / Masci, P. G. / Ahmadi, N. / Tondi, L. / Koutli, E. / Aimo, A. / Stamatelopoulos, K. / Dimopoulos, M. -A. / Caforio, A. L. P. / Georgiopoulos, G.

A systematic review and meta-analysis

2020

Abstract: Background: Identification of reliable outcome predictors in coronavirus disease 2019 (COVID-19) is ... or mechanical ventilation; and (b) in-hospital mortality. We extracted numeric data on patients ... with mortality. Conclusions: Advanced age, comorbidities, abnormal inflammatory and organ injury circulating ...

Abstract	Background: Identification of reliable outcome predictors in coronavirus disease 2019 (COVID-19) is of paramount importance for improving patient's management. Methods: A systematic review of literature was conducted until 24 April 2020. From 6843 articles, 49 studies were selected for a pooled assessment; cumulative statistics for age and sex were retrieved in 587 790 and 602 234 cases. Two endpoints were defined: (a) a composite outcome including death, severe presentation, hospitalization in the intensive care unit (ICU) and/or mechanical ventilation; and (b) in-hospital mortality. We extracted numeric data on patients’ characteristics and cases with adverse outcomes and employed inverse variance random-effects models to derive pooled estimates. Results: We identified 18 and 12 factors associated with the composite endpoint and death, respectively. Among those, a history of CVD (odds ratio (OR) = 3.15, 95% confidence intervals (CIs) 2.26-4.41), acute cardiac (OR = 10.58, 5.00-22.40) or kidney (OR = 5.13, 1.78-14.83) injury, increased procalcitonin (OR = 4.8, 2.034-11.31) or D-dimer (OR = 3.7, 1.74-7.89), and thrombocytopenia (OR = 6.23, 1.031-37.67) conveyed the highest odds for the adverse composite endpoint. Advanced age, male sex, cardiovascular comorbidities, acute cardiac or kidney injury, lymphocytopenia and D-dimer conferred an increased risk of in-hospital death. With respect to the treatment of the acute phase, therapy with steroids was associated with the adverse composite endpoint (OR = 3.61, 95% CI 1.934-6.73), but not with mortality. Conclusions: Advanced age, comorbidities, abnormal inflammatory and organ injury circulating biomarkers captured patients with an adverse clinical outcome. Clinical history and laboratory profile may then help identify patients with a higher risk of in-hospital mortality.
Keywords	COVID-19 ; meta-analysis ; outcomes ; predictors ; covid19
Subject code	610 ; 310
Language	English
Publisher	Blackwell Publishing Ltd
Publishing country	it
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Predictors of adverse prognosis in COVID-19: A systematic review and meta-analysis.

Figliozzi, Stefano / Masci, Pier Giorgio / Ahmadi, Navid / Tondi, Lara / Koutli, Evangelia / Aimo, Alberto / Stamatelopoulos, Kimon / Dimopoulos, Meletios-Athanasios / Caforio, Alida L P / Georgiopoulos, Georgios

European journal of clinical investigation

2020 Volume 50, Issue 10, Page(s) e13362

Abstract: Background: Identification of reliable outcome predictors in coronavirus disease 2019 (COVID-19 ... on patients' characteristics and cases with adverse outcomes and employed inverse variance random-effects ... with mortality.: Conclusions: Advanced age, comorbidities, abnormal inflammatory and organ injury circulating ...

Abstract	Background: Identification of reliable outcome predictors in coronavirus disease 2019 (COVID-19) is of paramount importance for improving patient's management. Methods: A systematic review of literature was conducted until 24 April 2020. From 6843 articles, 49 studies were selected for a pooled assessment; cumulative statistics for age and sex were retrieved in 587 790 and 602 234 cases. Two endpoints were defined: (a) a composite outcome including death, severe presentation, hospitalization in the intensive care unit (ICU) and/or mechanical ventilation; and (b) in-hospital mortality. We extracted numeric data on patients' characteristics and cases with adverse outcomes and employed inverse variance random-effects models to derive pooled estimates. Results: We identified 18 and 12 factors associated with the composite endpoint and death, respectively. Among those, a history of CVD (odds ratio (OR) = 3.15, 95% confidence intervals (CIs) 2.26-4.41), acute cardiac (OR = 10.58, 5.00-22.40) or kidney (OR = 5.13, 1.78-14.83) injury, increased procalcitonin (OR = 4.8, 2.034-11.31) or D-dimer (OR = 3.7, 1.74-7.89), and thrombocytopenia (OR = 6.23, 1.031-37.67) conveyed the highest odds for the adverse composite endpoint. Advanced age, male sex, cardiovascular comorbidities, acute cardiac or kidney injury, lymphocytopenia and D-dimer conferred an increased risk of in-hospital death. With respect to the treatment of the acute phase, therapy with steroids was associated with the adverse composite endpoint (OR = 3.61, 95% CI 1.934-6.73), but not with mortality. Conclusions: Advanced age, comorbidities, abnormal inflammatory and organ injury circulating biomarkers captured patients with an adverse clinical outcome. Clinical history and laboratory profile may then help identify patients with a higher risk of in-hospital mortality.
MeSH term(s)	Acute Disease ; Acute Kidney Injury/epidemiology ; Adrenal Cortex Hormones/therapeutic use ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Betacoronavirus ; C-Reactive Protein/metabolism ; COVID-19 ; Cardiovascular Diseases/epidemiology ; Cerebrovascular Disorders/epidemiology ; Coronavirus Infections/epidemiology ; Coronavirus Infections/metabolism ; Coronavirus Infections/mortality ; Coronavirus Infections/therapy ; Diabetes Mellitus/epidemiology ; Female ; Ferritins/metabolism ; Fibrin Fibrinogen Degradation Products/metabolism ; Heart Diseases ; Hospital Mortality ; Hospitalization ; Humans ; Hypertension/epidemiology ; Intensive Care Units ; Interleukin-6/metabolism ; Liver Diseases/epidemiology ; Lymphopenia/epidemiology ; Male ; Middle Aged ; Neoplasms/epidemiology ; Obesity/epidemiology ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/metabolism ; Pneumonia, Viral/mortality ; Pneumonia, Viral/therapy ; Procalcitonin/metabolism ; Prognosis ; Pulmonary Disease, Chronic Obstructive/epidemiology ; Respiration, Artificial ; SARS-CoV-2 ; Severity of Illness Index ; Sex Factors ; Smoking/epidemiology ; Thrombocytopenia/epidemiology ; Young Adult
Chemical Substances	Adrenal Cortex Hormones ; Fibrin Fibrinogen Degradation Products ; Interleukin-6 ; Procalcitonin ; fibrin fragment D ; C-Reactive Protein (9007-41-4) ; Ferritins (9007-73-2)
Keywords	covid19
Language	English
Publishing date	2020-08-27
Publishing country	England
Document type	Journal Article ; Meta-Analysis ; Systematic Review
ZDB-ID	186196-7
ISSN	1365-2362 ; 0014-2972 ; 0960-135X
ISSN (online)	1365-2362
ISSN	0014-2972 ; 0960-135X
DOI	10.1111/eci.13362
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Article ; Online: T-Cell Subsets and Interleukin-10 Levels Are Predictors of Severity and Mortality in COVID-19

Amal F. Alshammary / Jawaher M. Alsughayyir / Khalid K. Alharbi / Abdulrahman M. Al-Sulaiman / Haifa F. Alshammary / Heba F. Alshammary

Frontiers in Medicine, Vol

A Systematic Review and Meta-Analysis

2022 Volume 9

Abstract: ... reliable predictors of severity and mortality in COVID-19 patients. The ... ... meta-analysis aims to analyze T-cell subsets and IL-10 levels among COVID-19 patients. Understanding ... identification of disease severity and reduction of overall morbidity and mortality.MethodsA systematic search ...

Abstract	BackgroundMany COVID-19 patients reveal a marked decrease in their lymphocyte counts, a condition that translates clinically into immunodepression and is common among these patients. Outcomes for infected patients vary depending on their lymphocytopenia status, especially their T-cell counts. Patients are more likely to recover when lymphocytopenia is resolved. When lymphocytopenia persists, severe complications can develop and often lead to death. Similarly, IL-10 concentration is elevated in severe COVID-19 cases and may be associated with the depression observed in T-cell counts. Accordingly, this systematic review and meta-analysis aims to analyze T-cell subsets and IL-10 levels among COVID-19 patients. Understanding the underlying mechanisms of the immunodepression observed in COVID-19, and its consequences, may enable early identification of disease severity and reduction of overall morbidity and mortality.MethodsA systematic search was conducted covering PubMed MEDLINE, Scopus, Web of Science, and EBSCO databases for journal articles published from December 1, 2019 to March 14, 2021. In addition, we reviewed bibliographies of relevant reviews and the medRxiv preprint server for eligible studies. Our search covered published studies reporting laboratory parameters for T-cell subsets (CD4/CD8) and IL-10 among confirmed COVID-19 patients. Six authors carried out the process of data screening, extraction, and quality assessment independently. The DerSimonian-Laird random-effect model was performed for this meta-analysis, and the standardized mean difference (SMD) and 95% confidence interval (CI) were calculated for each parameter.ResultsA total of 52 studies from 11 countries across 3 continents were included in this study. Compared with mild and survivor COVID-19 cases, severe and non-survivor cases had lower counts of CD4/CD8 T-cells and higher levels of IL-10.ConclusionOur findings reveal that the level of CD4/CD8 T-cells and IL-10 are reliable predictors of severity and mortality in COVID-19 patients. The ...
Keywords	COVID-19 ; SARS-CoV-2 ; coronavirus ; interleukin 10 ; CD4 ; CD8 ; Medicine (General) ; R5-920
Subject code	610
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Predictors of adverse prognosis in COVID-19: A systematic review and meta-analysis

Eur J Clin Invest

Abstract: BACKGROUND: Identification of reliable outcome predictors in coronavirus disease 2019 (COVID-19) is ... or mechanical ventilation; and (b) in-hospital mortality. We extracted numeric data on patients' ... with mortality. CONCLUSIONS: Advanced age, comorbidities, abnormal inflammatory and organ injury circulating ...

Abstract	BACKGROUND: Identification of reliable outcome predictors in coronavirus disease 2019 (COVID-19) is of paramount importance for improving patient's management. METHODS: A systematic review of literature was conducted until 24 April 2020. From 6843 articles, 49 studies were selected for a pooled assessment; cumulative statistics for age and sex were retrieved in 587 790 and 602 234 cases. Two endpoints were defined: (a) a composite outcome including death, severe presentation, hospitalization in the intensive care unit (ICU) and/or mechanical ventilation; and (b) in-hospital mortality. We extracted numeric data on patients' characteristics and cases with adverse outcomes and employed inverse variance random-effects models to derive pooled estimates. RESULTS: We identified 18 and 12 factors associated with the composite endpoint and death, respectively. Among those, a history of CVD (odds ratio (OR) = 3.15, 95% confidence intervals (CIs) 2.26-4.41), acute cardiac (OR = 10.58, 5.00-22.40) or kidney (OR = 5.13, 1.78-14.83) injury, increased procalcitonin (OR = 4.8, 2.034-11.31) or D-dimer (OR = 3.7, 1.74-7.89), and thrombocytopenia (OR = 6.23, 1.031-37.67) conveyed the highest odds for the adverse composite endpoint. Advanced age, male sex, cardiovascular comorbidities, acute cardiac or kidney injury, lymphocytopenia and D-dimer conferred an increased risk of in-hospital death. With respect to the treatment of the acute phase, therapy with steroids was associated with the adverse composite endpoint (OR = 3.61, 95% CI 1.934-6.73), but not with mortality. CONCLUSIONS: Advanced age, comorbidities, abnormal inflammatory and organ injury circulating biomarkers captured patients with an adverse clinical outcome. Clinical history and laboratory profile may then help identify patients with a higher risk of in-hospital mortality.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #684327
Database	COVID19

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Article ; Online: Predictors of mortality in hospitalized COVID-19 patients: A systematic review and meta-analysis.

Tian, Wenjie / Jiang, Wanlin / Yao, Jie / Nicholson, Christopher J / Li, Rebecca H / Sigurslid, Haakon H / Wooster, Luke / Rotter, Jerome I / Guo, Xiuqing / Malhotra, Rajeev

Journal of medical virology

2020 Volume 92, Issue 10, Page(s) 1875–1883

Abstract: Mortality rates of coronavirus disease-2019 (COVID-19) continue to rise across the world ... Information regarding the predictors of mortality in patients with COVID-19 remains scarce. Herein ... collected the data, in accordance with PRISMA guidelines. We looked for associations between mortality and patient ...

Abstract	Mortality rates of coronavirus disease-2019 (COVID-19) continue to rise across the world. Information regarding the predictors of mortality in patients with COVID-19 remains scarce. Herein, we performed a systematic review of published articles, from 1 January to 24 April 2020, to evaluate the risk factors associated with mortality in COVID-19. Two investigators independently searched the articles and collected the data, in accordance with PRISMA guidelines. We looked for associations between mortality and patient characteristics, comorbidities, and laboratory abnormalities. A total of 14 studies documenting the outcomes of 4659 patients were included. The presence of comorbidities such as hypertension (odds ratio [OR], 2.5; 95% confidence interval [CI], 2.1-3.1; P < .00001), coronary heart disease (OR, 3.8; 95% CI, 2.1-6.9; P < .00001), and diabetes (OR, 2.0; 95% CI, 1.7-2.3; P < .00001) were associated with significantly higher risk of death amongst patients with COVID-19. Those who died, compared with those who survived, differed on multiple biomarkers on admission including elevated levels of cardiac troponin (+44.2 ng/L, 95% CI, 19.0-69.4; P = .0006); C-reactive protein (+66.3 µg/mL, 95% CI, 46.7-85.9; P < .00001); interleukin-6 (+4.6 ng/mL, 95% CI, 3.6-5.6; P < .00001); D-dimer (+4.6 µg/mL, 95% CI, 2.8-6.4; P < .00001); creatinine (+15.3 µmol/L, 95% CI, 6.2-24.3; P = .001); and alanine transaminase (+5.7 U/L, 95% CI, 2.6-8.8; P = .0003); as well as decreased levels of albumin (-3.7 g/L, 95% CI, -5.3 to -2.1; P < .00001). Individuals with underlying cardiometabolic disease and that present with evidence for acute inflammation and end-organ damage are at higher risk of mortality due to COVID-19 infection and should be managed with greater intensity.
MeSH term(s)	COVID-19/epidemiology ; COVID-19/mortality ; Comorbidity ; Diabetes Mellitus/epidemiology ; Female ; Hospital Mortality ; Hospitalization/statistics & numerical data ; Humans ; Hypertension/epidemiology ; Male ; Risk Factors ; Sex Factors
Keywords	covid19
Language	English
Publishing date	2020-07-11
Publishing country	United States
Document type	Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
ZDB-ID	752392-0
ISSN	1096-9071 ; 0146-6615
ISSN (online)	1096-9071
ISSN	0146-6615
DOI	10.1002/jmv.26050
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Article: Predictors of mortality in hospitalized COVID-19 patients: A systematic review and meta-analysis

Tian, Wenjie / Jiang, Wanlin / Yao, Jie / Nicholson, Christopher J / Li, Rebecca H / Sigurslid, Haakon H / Wooster, Luke / Rotter, Jerome I / Guo, Xiuqing / Malhotra, Rajeev

J. med. virol

Abstract	Mortality rates of coronavirus disease-2019 (COVID-19) continue to rise across the world. Information regarding the predictors of mortality in patients with COVID-19 remains scarce. Herein, we performed a systematic review of published articles, from 1 January to 24 April 2020, to evaluate the risk factors associated with mortality in COVID-19. Two investigators independently searched the articles and collected the data, in accordance with PRISMA guidelines. We looked for associations between mortality and patient characteristics, comorbidities, and laboratory abnormalities. A total of 14 studies documenting the outcomes of 4659 patients were included. The presence of comorbidities such as hypertension (odds ratio [OR], 2.5; 95% confidence interval [CI], 2.1-3.1; P < .00001), coronary heart disease (OR, 3.8; 95% CI, 2.1-6.9; P < .00001), and diabetes (OR, 2.0; 95% CI, 1.7-2.3; P < .00001) were associated with significantly higher risk of death amongst patients with COVID-19. Those who died, compared with those who survived, differed on multiple biomarkers on admission including elevated levels of cardiac troponin (+44.2 ng/L, 95% CI, 19.0-69.4; P = .0006); C-reactive protein (+66.3 µg/mL, 95% CI, 46.7-85.9; P < .00001); interleukin-6 (+4.6 ng/mL, 95% CI, 3.6-5.6; P < .00001); D-dimer (+4.6 µg/mL, 95% CI, 2.8-6.4; P < .00001); creatinine (+15.3 µmol/L, 95% CI, 6.2-24.3; P = .001); and alanine transaminase (+5.7 U/L, 95% CI, 2.6-8.8; P = .0003); as well as decreased levels of albumin (-3.7 g/L, 95% CI, -5.3 to -2.1; P < .00001). Individuals with underlying cardiometabolic disease and that present with evidence for acute inflammation and end-organ damage are at higher risk of mortality due to COVID-19 infection and should be managed with greater intensity.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #342801
Database	COVID19

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Article ; Online: Blood biochemical parameters as predictors of disease severity and mortality in COVID-19 patients- an updated systematic review and meta-analysis

Majid, Afsha / Mishra, Pinki / Parveen, Rizwana / Bajpai, Ram / Khan, Mohd Ashif / Agarwal, Nidhi Bharal

medRxiv

Abstract: ... with severity and mortality of COVID-19 amongst 3695 patients across seventeen studies. Methods: We searched ... Background: The outbreak of coronavirus disease 2019 (COVID-19) has been rapidly spreading across ... in the meta-analysis with 3695 COVID-19 patients. Results: The pooled analysis showed that compared to non-severe group ...

Abstract	Background: The outbreak of coronavirus disease 2019 (COVID-19) has been rapidly spreading across the globe and poses a great risk to human health. Patients with abnormalities in laboratory parameters are more susceptible to COVID-19. Therefore, we explored the association of blood biochemical parameters with severity and mortality of COVID-19 amongst 3695 patients across seventeen studies. Methods: We searched PubMed, Cochrane library and LitCOVID database until February 28, 2021. Seventeen studies were included in the meta-analysis with 3695 COVID-19 patients. Results: The pooled analysis showed that compared to non-severe group, severe group was characterised by significantly elevated alanine aminotransferase (ALT) (standardised mean difference [SMD]: 0.65, 95% confidence interval [CI]: 0.23 to 1.06; p<0.001, erythrocyte sedimentation rate (ESR) (SMD: 0.55, 95%CI: 0.02 to 1.07 p=0.004) and lymphopenia (SMD: -1.22, 95% CI: -2.15 to -0.30; p<0.01), decreased serum albumin (SMD: -1.60, 95% CI: -2.96 to -0.22 p<0.001), creatinine (SMD: 0.54, 95% CI: 0.17 to 0.90; p<0.001), lactate dehydrogenase (LDH)(SMD: -1.54, 95% CI: -2.27 to -0.80; p=0.002) and haemoglobin (SMD:-0.89, 95% CI: p<0.001). Additionally, in the non-survivor group, elevated lactate dehydrogenase (LDH) (SMD: 1.54 95% CI: -2.27 to 0.80; p=0.002), decreased serum albumin (SMD: 1.08, 95% CI: 0.75 to 1.42; p<0.001) were reported. There was no comorbidity which was found to be significant in the severe group. Conclusion: Serum albumin, ALT, ESR, lymphopenia, haemoglobin, and leucocytosis can reflect the severity of COVID-19, while the LDH, leucocytosis and albumin can be considered as risk factor to higher mortality. Keywords: COVID-19, laboratory parameters, SARS-CoV-2, disease severity, mortality
Keywords	covid19
Language	English
Publishing date	2021-09-21
Publisher	Cold Spring Harbor Laboratory Press
Document type	Article ; Online
DOI	10.1101/2021.09.16.21263675
Database	COVID19

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Article ; Online: Circulating mid-regional proadrenomedullin is a predictor of mortality in patients with COVID-19: a systematic review and meta-analysis.

Wang, Na / Liu, Lushan / He, Wei / Shang, Na / Li, Junyu / Qin, Zhou / Du, Xiaoxia

BMC infectious diseases

2023 Volume 23, Issue 1, Page(s) 305

Abstract: ... a systematic review and meta-analysis to evaluate the prognostic value of MR-proADM in patients with COVID-19 ... proADM) and mortality of patients with COVID-19 is not fully understood. In this study, we conducted ... of Coronavirus disease 2019 (COVID-19), the correlation between circulating Mid-regional Proadrenomedullin (MR ...

Abstract	Background: Although there is increasing understanding of the changes in the laboratory parameters of Coronavirus disease 2019 (COVID-19), the correlation between circulating Mid-regional Proadrenomedullin (MR-proADM) and mortality of patients with COVID-19 is not fully understood. In this study, we conducted a systematic review and meta-analysis to evaluate the prognostic value of MR-proADM in patients with COVID-19. Methods: The PubMed, Embase, Web of Science, Cochrane Library, Wanfang, SinoMed and Chinese National Knowledge Infrastructure (CNKI) databases were searched from 1 January 2020 to 20 March 2022 for relevant literature. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) was used to assess quality bias, STATA was employed to pool the effect size by a random effects model, and potential publication bias and sensitivity analyses were performed. Results: 14 studies comprising 1822 patients with COVID-19 met the inclusion criteria, there were 1145 (62.8%) males and 677 (31.2%) females, and the mean age was 63.8 ± 16.1 years. The concentration of MR-proADM was compared between the survivors and non-survivors in 9 studies and the difference was significant (P < 0.01), I Conclusion: MR-proADM had a very good predictive value for the poor prognosis of COVID-19 patients. Increased levels of MR-proADM were independently associated with mortality in COVID-19 patients and may allow a better risk stratification.
MeSH term(s)	Female ; Male ; Humans ; Middle Aged ; Aged ; COVID-19 ; Adrenomedullin ; Area Under Curve ; Asian People
Chemical Substances	proadrenomedullin ; Adrenomedullin (148498-78-6)
Language	English
Publishing date	2023-05-08
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article
ZDB-ID	2041550-3
ISSN	1471-2334 ; 1471-2334
ISSN (online)	1471-2334
ISSN	1471-2334
DOI	10.1186/s12879-023-08275-z
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Article ; Online: Meta-analysis and systematic literature review of COVID-19 associated bradycardia as a predictor of mortality.

Umeh, Chukwuemeka A / Kumar, Sabina / Wassel, Elias / Barve, Pranav

The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology

2022 Volume 74, Issue 1, Page(s) 47

Abstract: ... in Coronavirus disease 2019 (COVID-19) patients. While some studies have reported poor prognosis with bradycardia ... in COVID-19 patients, others have not found any association between bradycardia and mortality in COVID-19 ... patients. This study aims to assess the relationship between bradycardia and mortality in COVID-19 patients ...

Abstract	Background: Cardiac arrhythmias have been identified as independent predictors of mortality in Coronavirus disease 2019 (COVID-19) patients. While some studies have reported poor prognosis with bradycardia in COVID-19 patients, others have not found any association between bradycardia and mortality in COVID-19 patients. This study aims to assess the relationship between bradycardia and mortality in COVID-19 patients by reviewing existing literature. Main body: Articles were obtained by systematically searching the PubMed and Google scholar databases. Qualitative and quantitative analyses of the studies on bradycardia and mortality in COVID-19 were done. A pooled estimate, with a sample size of 1320 patients, comparing the effect of patients that were bradycardic during their admission with those that were not on mortality showed that bradycardia did not lead to increased mortality in COVID-19 patients (OR 1.25, 95% CI 0.41-3.84, p = 0.7). Conclusions: This meta-analysis showed that bradycardia was not significantly associated with mortality in COVID-19 patients. However, this study is limited by the few studies on bradycardia and mortality in COVID-19 patients. Therefore, future studies should investigate this relationship so that clinicians can prognostically triage and treat COVID-19 patients appropriately.
Language	English
Publishing date	2022-06-04
Publishing country	Germany
Document type	Journal Article ; Review
ISSN	2090-911X
ISSN (online)	2090-911X
DOI	10.1186/s43044-022-00284-8
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