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  1. TI=Predictors of mortality in hospitalized COVID 19 patients: A systematic review and meta analysis
  2. AU="Howard Gray"

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  1. Article: Predictive value of frailty in the mortality of hospitalized patients with COVID-19: a systematic review and meta-analysis.

    Zou, Yupei / Han, Maonan / Wang, Jiarong / Zhao, Jichun / Gan, Huatian / Yang, Yi

    Annals of translational medicine

    2022  Volume 10, Issue 4, Page(s) 166

    Abstract: ... and mortality in hospitalized patients with COVID-19. The quality of the included studies was assessed ... hospitalized patients with COVID-19, frail patients suffered a higher risk of all-cause mortality, and ... among hospitalized patients with coronavirus disease 2019 (COVID-19).: Methods: Literature searches were conducted ...

    Abstract Background: The present study aimed to analyze the impact of frailty on mortality risk among hospitalized patients with coronavirus disease 2019 (COVID-19).
    Methods: Literature searches were conducted using the MEDLINE, Embase, and Cochrane databases for articles reporting the association between frailty and mortality in hospitalized patients with COVID-19. The quality of the included studies was assessed using the Newcastle-Ottawa scale (NOS). A random-effects meta-analysis was performed to calculate the pooled effects.
    Results: A total of 21 studies with 26,652 hospitalized patients were included. Sixteen studies used the Clinical Frailty Score (CFS), and five used other frailty assessment tools. The pooled estimates of frailty in hospitalized patients with COVID-19 were 51.4% [95% confidence interval (CI): 39.9-62.9%]. In the CFS group, frail patients experienced a higher rate of short-term mortality than non-frail patients [odds ratio (OR) =3.0; 95% CI: 2.3-3.9; I
    Conclusions: Compared to non-frail hospitalized patients with COVID-19, frail patients suffered a higher risk of all-cause mortality, and this result was also found in the older adult group.
    Language English
    Publishing date 2022-03-11
    Publishing country China
    Document type Journal Article
    ZDB-ID 2893931-1
    ISSN 2305-5847 ; 2305-5839
    ISSN (online) 2305-5847
    ISSN 2305-5839
    DOI 10.21037/atm-22-274
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. 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: ... Information regarding the predictors of mortality in patients with COVID-19 remains scarce. Herein ... the risk factors associated with mortality in COVID-19. Two investigators independently searched the articles and ... are at higher risk of mortality due to COVID-19 infection and should be managed with greater intensity. ...

    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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  3. 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: ... Information regarding the predictors of mortality in patients with COVID-19 remains scarce. Herein ... the risk factors associated with mortality in COVID-19. Two investigators independently searched the articles and ... are at higher risk of mortality due to COVID-19 infection and should be managed with greater intensity. ...

    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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  4. Article: Mortality rate and predictors of COVID-19 inpatients in Ethiopia: a systematic review and meta-analysis.

    Birhanu, Molla Yigzaw / Jemberie, Selamawit Shita

    Frontiers in medicine

    2023  Volume 10, Page(s) 1213077

    Abstract: ... Objective: This study aimed to assess the mortality rate and predictors of COVID-19 hospitalized patients ... with chronic renal disease, diabetes, hypertension, smoking, and HIV were the significant predictors of mortality among COVID ... 63 (95% CI: 1.43, 1.85), and smoker had 2.35 (95% CI: 1.48, 3.73).: Conclusion: COVID-19 mortality ...

    Abstract Introduction: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an extremely rare virus that devastates the economy and claims human lives. Despite countries' urgent and tenacious public health responses to the COVID-19 pandemic, the disease is killing a large number of people. The results of prior studies have not been used by policymakers and programmers due to the presence of conflicting results. As a result, this study was conducted to fill the knowledge gap and develop a research agenda.
    Objective: This study aimed to assess the mortality rate and predictors of COVID-19 hospitalized patients in Ethiopia.
    Methods: Electronic databases were searched to find articles that were conducted using a retrospective cohort study design and published in English up to 2022. The data were extracted using a Microsoft Excel spreadsheet and exported to Stata
    Results: Seven studies with 31,498 participants were included. The pooled mortality rate of COVID-19 was 9.13 (95% CI: 5.38, 12.88) per 1,000 person-days of mortality-free observation. Those study participants who had chronic kidney disease had 2.29 (95% CI: 1.14, 4.60) times higher chance of experiencing mortality than their corresponding counterparts, diabetics had 2.14 (95% CI: 1.22, 3.76), HIV patients had 2.98 (95% CI: 1.26, 7.03), hypertensive patients had 1.63 (95% CI: 1.43, 1.85), and smoker had 2.35 (95% CI: 1.48, 3.73).
    Conclusion: COVID-19 mortality rate was high to tackle the epidemic of the disease in Ethiopia. COVID-19 patients with chronic renal disease, diabetes, hypertension, smoking, and HIV were the significant predictors of mortality among COVID-19 patients in Ethiopia. COVID-19 patients with chronic diseases and comorbidities need special attention, close follow-up, and care from all stakeholders.
    Language English
    Publishing date 2023-10-20
    Publishing country Switzerland
    Document type Systematic Review
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2023.1213077
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Radiological Findings as Predictors of COVID-19 Lung Sequelae: A Systematic Review and Meta-analysis.

    Alilou, Sanam / Zangiabadian, Moein / Pouramini, Alireza / Jaberinezhad, Mehran / Shobeiri, Parnian / Ghozy, Sherief / Haseli, Sara / Beizavi, Zahra

    Academic radiology

    2023  Volume 30, Issue 12, Page(s) 3076–3085

    Abstract: ... predictor of lung fibrosis and COVID-19 mortality. Lung fibrosis can be diagnosed and tracked using the LUS ... Results: We included 11 studies. There were 1777 COVID-19-positive patients, and 1014 (57%) were male ... Rationale and objectives: This systematic review and meta-analysis aimed to investigate ...

    Abstract Rationale and objectives: This systematic review and meta-analysis aimed to investigate the radiological predictors of post-coronavirus disease 19 (COVID-19) pulmonary fibrosis and incomplete absorption of pulmonary lesions.
    Materials and methods: We systematically searched PubMed, EMBASE, and Web of Science for studies reporting the predictive value of radiological findings in patients with post-COVID-19 lung residuals published through November 11, 2022. The pooled odds ratios with a 95% confidence interval (CI) were assessed. The random-effects model was used due to the heterogeneity of the true effect sizes.
    Results: We included 11 studies. There were 1777 COVID-19-positive patients, and 1014 (57%) were male. All studies used chest computed tomography (CT) as a radiologic tool. Moreover, chest X-ray (CXR) and lung ultrasound were used in two studies, along with a CT scan. CT severity score (CTSS), Radiographic Assessment of Lung Edema score (RALE), interstitial score, lung ultrasound score (LUS), patchy opacities, abnormal CXR, pleural traction, and subpleural abnormalities were found to be predictors of post-COVID-19 sequels. CTSS and consolidations were the most common predictors among included studies. Pooled analysis revealed that pulmonary residuals in patients with initial consolidation are about four times more likely than in patients without this finding (odds ratio: 3.830; 95% CI: 1.811-8.102, I2: 4.640).
    Conclusion: Radiological findings can predict the long-term pulmonary sequelae of COVID-19 patients. CTSS is an important predictor of lung fibrosis and COVID-19 mortality. Lung fibrosis can be diagnosed and tracked using the LUS. Changes in RALE score during hospitalization can be used as an independent predictor of mortality.
    MeSH term(s) Humans ; Male ; Female ; COVID-19/diagnostic imaging ; SARS-CoV-2 ; Pulmonary Fibrosis/diagnostic imaging ; Respiratory Sounds ; Lung/diagnostic imaging ; Lung/pathology ; Disease Progression
    Language English
    Publishing date 2023-06-06
    Publishing country United States
    Document type Meta-Analysis ; Systematic Review ; Journal Article ; Review
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2023.06.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Mortality rate and predictors of COVID-19 inpatients in Ethiopia

    Molla Yigzaw Birhanu / Selamawit Shita Jemberie

    Frontiers in Medicine, Vol

    a systematic review and meta-analysis

    2023  Volume 10

    Abstract: ... ObjectiveThis study aimed to assess the mortality rate and predictors of COVID-19 hospitalized patients ... 19 mortality rate was high to tackle the epidemic of the disease in Ethiopia. COVID-19 patients ... publication bias were computed to identify the source of heterogeneity. The pool COVID-19 mortality rate and ...

    Abstract IntroductionThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an extremely rare virus that devastates the economy and claims human lives. Despite countries' urgent and tenacious public health responses to the COVID-19 pandemic, the disease is killing a large number of people. The results of prior studies have not been used by policymakers and programmers due to the presence of conflicting results. As a result, this study was conducted to fill the knowledge gap and develop a research agenda.ObjectiveThis study aimed to assess the mortality rate and predictors of COVID-19 hospitalized patients in Ethiopia.MethodsElectronic databases were searched to find articles that were conducted using a retrospective cohort study design and published in English up to 2022. The data were extracted using a Microsoft Excel spreadsheet and exported to StataTM version 17.0 for further analysis. The presence of heterogeneity was assessed and presented using a forest plot. The subgroup analysis, meta-regression, and publication bias were computed to identify the source of heterogeneity. The pool COVID-19 mortality rate and its predictors were calculated and identified using the random effects meta-analysis model, respectively. The significant predictors identified were reported using a relative risk ratio and 95% confidence interval (CI).ResultsSeven studies with 31,498 participants were included. The pooled mortality rate of COVID-19 was 9.13 (95% CI: 5.38, 12.88) per 1,000 person-days of mortality-free observation. Those study participants who had chronic kidney disease had 2.29 (95% CI: 1.14, 4.60) times higher chance of experiencing mortality than their corresponding counterparts, diabetics had 2.14 (95% CI: 1.22, 3.76), HIV patients had 2.98 (95% CI: 1.26, 7.03), hypertensive patients had 1.63 (95% CI: 1.43, 1.85), and smoker had 2.35 (95% CI: 1.48, 3.73).ConclusionCOVID-19 mortality rate was high to tackle the epidemic of the disease in Ethiopia. COVID-19 patients with chronic renal disease, diabetes, ...
    Keywords mortality ; inpatient ; predictors ; COVID-19 patients ; incidence ; Ethiopia ; Medicine (General) ; R5-920
    Subject code 310
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. 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: ... or mechanical ventilation; and (b) in-hospital mortality. We extracted numeric data on patients ... Background: Identification of reliable outcome predictors in coronavirus disease 2019 (COVID-19) is ... may then help identify patients with a higher risk of in-hospital mortality. ...

    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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  8. Article ; Online: Predictors of in-hospital COVID-19 mortality

    Arthur Eumann Mesas / Iván Cavero-Redondo / Celia Álvarez-Bueno / Marcos Aparecido Sarriá Cabrera / Selma Maffei de Andrade / Irene Sequí-Dominguez / Vicente Martínez-Vizcaíno

    PLoS ONE, Vol 15, Iss 11, p e

    A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions.

    2020  Volume 0241742

    Abstract: Objective Risk factors for in-hospital mortality in confirmed COVID-19 patients have been ... predictors. Methods A systematic review was conducted by searching the MEDLINE, Scopus, and Web of Science ... and health condition. The following predictors were more markedly associated with mortality in studies ...

    Abstract Objective Risk factors for in-hospital mortality in confirmed COVID-19 patients have been summarized in numerous meta-analyses, but it is still unclear whether they vary according to the age, sex and health conditions of the studied populations. This study explored these variables as potential mortality predictors. Methods A systematic review was conducted by searching the MEDLINE, Scopus, and Web of Science databases of studies available through July 27, 2020. The pooled risk was estimated with the odds ratio (p-OR) or effect size (p-ES) obtained through random-effects meta-analyses. Subgroup analyses and meta-regression were applied to explore differences by age, sex and health conditions. The MOOSE guidelines were strictly followed. Results The meta-analysis included 60 studies, with a total of 51,225 patients (12,458 [24.3%] deaths) from hospitals in 13 countries. A higher in-hospital mortality risk was found for dyspnoea (p-OR = 2.5), smoking (p-OR = 1.6) and several comorbidities (p-OR range: 1.8 to 4.7) and laboratory parameters (p-ES range: 0.3 to -2.6). Age was the main source of heterogeneity, followed by sex and health condition. The following predictors were more markedly associated with mortality in studies with patients with a mean age ≤60 years: dyspnoea (p-OR = 4.3), smoking (p-OR = 2.8), kidney disease (p-OR = 3.8), hypertension (p-OR = 3.7), malignancy (p-OR = 3.7), diabetes (p-OR = 3.2), pulmonary disease (p-OR = 3.1), decreased platelet count (p-ES = -1.7), decreased haemoglobin concentration (p-ES = -0.6), increased creatinine (p-ES = 2.4), increased interleukin-6 (p-ES = 2.4) and increased cardiac troponin I (p-ES = 0.7). On the other hand, in addition to comorbidities, the most important mortality predictors in studies with older patients were albumin (p-ES = -3.1), total bilirubin (p-ES = 0.7), AST (p-ES = 1.8), ALT (p-ES = 0.4), urea nitrogen (p-ES), C-reactive protein (p-ES = 2.7), LDH (p-ES = 2.4) and ferritin (p-ES = 1.7). Obesity was associated with increased mortality only in ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Predictors of clinical evolution of SARS-CoV-2 infection in hematological patients: A systematic review and meta-analysis.

    Carrara, Elena / Razzaboni, Elisa / Azzini, Anna Maria / De Rui, Maria Elena / Pinho Guedes, Mariana Nunes / Gorska, Anna / Giannella, Maddalena / Bussini, Linda / Bartoletti, Michele / Arbizzani, Federica / Palacios-Baena, Zaira R / Caponcello, Giulia / Maldonado, Natalia / Rodríguez-Baño, Jesús / Visco, Carlo / Krampera, Mauro / Tacconelli, Evelina

    Hematological oncology

    2022  Volume 41, Issue 1, Page(s) 16–25

    Abstract: Main aim of this systematic review is to quantify the risk and identify predictors of clinical ... was found in terms of COVID-19 related mortality (OR, 2.12; 95% CI, 1.77-2.54), hospitalization (OR, 1 ... hematological patients versus solid cancer. Meta-regression analysis of uncontrolled studies showed that older ...

    Abstract Main aim of this systematic review is to quantify the risk and identify predictors of clinical evolution of SARS-CoV-2 in hematological patients compared to different control populations. Two independent reviewers screened the literature assessing clinical outcomes of SARS-CoV-2 infection in adult patients with active hematological malignancies published up to June 2021. Primary outcome was COVID-19 related mortality, secondary outcomes were hospital and intensive-care admission, mechanical ventilation (MV), and thromboembolic events. Variables related to study setting, baseline patients' demographic, comorbidities, underlying hematological disease, ongoing chemotherapy, COVID-19 presentation, and treatments were extracted. A total of 67 studies including 10,061 hematological patients and 111,143 controls were included. Most of the studies were retrospective cohorts (51 studies, 76%) and only 19 (13%) provided data for a control group. A significant increased risk of clinical progression in the hematological population compared to the controls was found in terms of COVID-19 related mortality (OR, 2.12; 95% CI, 1.77-2.54), hospitalization (OR, 1.98; 95% CI, 1.15-3.43), intensive-care admission (OR, 1.77; 95% CI, 1.38-2.26), and MV (OR, 2.17; 95% CI, 1.71-2.75). The risk remained significantly higher in the subgroup analysis comparing hematological patients versus solid cancer. Meta-regression analysis of uncontrolled studies showed that older age, male sex, and hypertension were significantly related to worse clinical outcomes of COVID-19 in hematological population. Older age and hypertension were found to be associated also to thromboembolic events. In conclusion, hematological patients have a higher risk of COVID-19 clinical progression compared to both the general population and to patients with solid cancer.
    MeSH term(s) Adult ; Humans ; Male ; COVID-19 ; SARS-CoV-2 ; Retrospective Studies ; Hypertension ; Disease Progression ; Neoplasms
    Language English
    Publishing date 2022-10-20
    Publishing country England
    Document type Meta-Analysis ; Systematic Review ; Journal Article ; Review
    ZDB-ID 604884-5
    ISSN 1099-1069 ; 0278-0232
    ISSN (online) 1099-1069
    ISSN 0278-0232
    DOI 10.1002/hon.3084
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  10. 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 ... may then help identify patients with a higher risk of in-hospital mortality. ... on patients' characteristics and cases with adverse outcomes and employed inverse variance random-effects ...

    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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