Correction: Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review.
Ontology highlight
ABSTRACT:
SUBMITTER: Izcovich A
PROVIDER: S-EPMC9135219 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Publications
Correction: Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review.
Izcovich Ariel A Ragusa Martín Alberto MA Tortosa Fernando F Marzio María Andrea Lavena MAL Agnoletti Camila C Bengolea Agustín A Ceirano Agustina A Espinosa Federico F Saavedra Ezequiel E Sanguine Verónica V Tassara Alfredo A Cid Candelaria C Catalano Hugo Norberto HN Agarwal Arnav A Foroutan Farid F Rada Gabriel G
PloS one 20220526 5
[This corrects the article DOI: 10.1371/journal.pone.0241955.]. ...[more]
Similar Datasets
Project description:Background and purposeThe objective of our systematic review is to identify prognostic factors that may be used in decision-making related to the care of patients infected with COVID-19.Data sourcesWe conducted highly sensitive searches in PubMed/MEDLINE, the Cochrane Central Register of Controlled Trials (CENTRAL) and Embase. The searches covered the period from the inception date of each database until April 28, 2020. No study design, publication status or language restriction were applied.Study selection and data extractionWe included studies that assessed patients with confirmed or suspected SARS-CoV-2 infectious disease and examined one or more prognostic factors for mortality or disease severity. Reviewers working in pairs independently screened studies for eligibility, extracted data and assessed the risk of bias. We performed meta-analyses and used GRADE to assess the certainty of the evidence for each prognostic factor and outcome.ResultsWe included 207 studies and found high or moderate certainty that the following 49 variables provide valuable prognostic information on mortality and/or severe disease in patients with COVID-19 infectious disease: Demographic factors (age, male sex, smoking), patient history factors (comorbidities, cerebrovascular disease, chronic obstructive pulmonary disease, chronic kidney disease, cardiovascular disease, cardiac arrhythmia, arterial hypertension, diabetes, dementia, cancer and dyslipidemia), physical examination factors (respiratory failure, low blood pressure, hypoxemia, tachycardia, dyspnea, anorexia, tachypnea, haemoptysis, abdominal pain, fatigue, fever and myalgia or arthralgia), laboratory factors (high blood procalcitonin, myocardial injury markers, high blood White Blood Cell count (WBC), high blood lactate, low blood platelet count, plasma creatinine increase, high blood D-dimer, high blood lactate dehydrogenase (LDH), high blood C-reactive protein (CRP), decrease in lymphocyte count, high blood aspartate aminotransferase (AST), decrease in blood albumin, high blood interleukin-6 (IL-6), high blood neutrophil count, high blood B-type natriuretic peptide (BNP), high blood urea nitrogen (BUN), high blood creatine kinase (CK), high blood bilirubin and high erythrocyte sedimentation rate (ESR)), radiological factors (consolidative infiltrate and pleural effusion) and high SOFA score (sequential organ failure assessment score).ConclusionIdentified prognostic factors can help clinicians and policy makers in tailoring management strategies for patients with COVID-19 infectious disease while researchers can utilise our findings to develop multivariable prognostic models that could eventually facilitate decision-making and improve patient important outcomes.Systematic review registrationProspero registration number: CRD42020178802. Protocol available at: https://www.medrxiv.org/content/10.1101/2020.04.08.20056598v1.
| S-EPMC7671522 | biostudies-literature
Project description:IntroductionThe COVID-19 pandemic has resulted in many cases of infection and deaths worldwide. Patients with cancer are a high-risk group for COVID-19-related death. However, a systematic summary of the prognostic factors related to mortality in these patients is limited. We systematically summarise the evidence on the prognostic factors of mortality in patients with pre-existing cancer, infected with COVID-19.Methods and analysisWe will address the prognostic factors for mortality, including cohort studies of adult patients with cancer infected with COVID-19. We will search MEDLINE, Embase and Cochrane Central Libraries for data from December 2019 to the present day. The prognostic factors for mortality include general, cancer-related and clinical characteristics. We will not limit the COVID-19 severity, cancer type and follow-up period of the included studies. Two reviewers will independently and in duplicate conduct reference screening, data abstraction and risk of bias assessment. We will perform a random-effect meta-analysis to calculate the pooled relative effect estimates for each prognostic factor of mortality. We will assess the risk of bias for each included study and rate the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. This study will provide information about high-risk groups for mortality in patients with cancer infected with COVID-19.Ethics and disseminationThis study will use only the published references and would not need to obtain ethical approval. We will disseminate our study findings through a peer-reviewed journal.Prospero registration numberCRD42023390905.
| S-EPMC10335477 | biostudies-literature
Project description:Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability remains controversial. We performed a systematic review to summarize and critically appraise the available studies that have developed, assessed and/or validated prognostic models of COVID-19 predicting health outcomes. We searched six bibliographic databases to identify published articles that investigated univariable and multivariable prognostic models predicting adverse outcomes in adult COVID-19 patients, including intensive care unit (ICU) admission, intubation, high-flow nasal therapy (HFNT), extracorporeal membrane oxygenation (ECMO) and mortality. We identified and assessed 314 eligible articles from more than 40 countries, with 152 of these studies presenting mortality, 66 progression to severe or critical illness, 35 mortality and ICU admission combined, 17 ICU admission only, while the remaining 44 studies reported prediction models for mechanical ventilation (MV) or a combination of multiple outcomes. The sample size of included studies varied from 11 to 7,704,171 participants, with a mean age ranging from 18 to 93 years. There were 353 prognostic models investigated, with area under the curve (AUC) ranging from 0.44 to 0.99. A great proportion of studies (61.5%, 193 out of 314) performed internal or external validation or replication. In 312 (99.4%) studies, prognostic models were reported to be at high risk of bias due to uncertainties and challenges surrounding methodological rigor, sampling, handling of missing data, failure to deal with overfitting and heterogeneous definitions of COVID-19 and severity outcomes. While several clinical prognostic models for COVID-19 have been described in the literature, they are limited in generalizability and/or applicability due to deficiencies in addressing fundamental statistical and methodological concerns. Future large, multi-centric and well-designed prognostic prospective studies are needed to clarify remaining uncertainties.
| S-EPMC9958330 | biostudies-literature
Project description:BackgroundUnderstanding the factors associated with disease severity and mortality in Coronavirus disease (COVID-19) is imperative to effectively triage patients. We performed a systematic review to determine the demographic, clinical, laboratory and radiological factors associated with severity and mortality in COVID-19.MethodsWe searched PubMed, Embase and WHO database for English language articles from inception until May 8, 2020. We included Observational studies with direct comparison of clinical characteristics between a) patients who died and those who survived or b) patients with severe disease and those without severe disease. Data extraction and quality assessment were performed by two authors independently.ResultsAmong 15680 articles from the literature search, 109 articles were included in the analysis. The risk of mortality was higher in patients with increasing age, male gender (RR 1.45, 95%CI 1.23-1.71), dyspnea (RR 2.55, 95%CI 1.88-2.46), diabetes (RR 1.59, 95%CI 1.41-1.78), hypertension (RR 1.90, 95%CI 1.69-2.15). Congestive heart failure (OR 4.76, 95%CI 1.34-16.97), hilar lymphadenopathy (OR 8.34, 95%CI 2.57-27.08), bilateral lung involvement (OR 4.86, 95%CI 3.19-7.39) and reticular pattern (OR 5.54, 95%CI 1.24-24.67) were associated with severe disease. Clinically relevant cut-offs for leukocytosis(>10.0 x109/L), lymphopenia(< 1.1 x109/L), elevated C-reactive protein(>100mg/L), LDH(>250U/L) and D-dimer(>1mg/L) had higher odds of severe disease and greater risk of mortality.ConclusionKnowledge of the factors associated of disease severity and mortality identified in our study may assist in clinical decision-making and critical-care resource allocation for patients with COVID-19.
| S-EPMC7673562 | biostudies-literature
Project description:Background and objectivesCancer organizations worldwide have recently released care guidelines for cancer patients with coronavirus disease 2019 (COVID-19). Several studies have reported higher mortality rates in cancer patients with COVID-19. However, drawing robust conclusions remains challenging due to a lack of research on clinical prognostic factors in this patient group.MethodsA comprehensive literature search was conducted using the PubMed, Embase, and Cochrane databases. We searched the keywords in the following combination: ("COVID-19" or "coronavirus" or "wuhan virus") and ("cancer"). The search was performed on August 1, 2020, and only papers written in English were included in this study. We collected data from 3,215 cancer patients with COVID-19 from 16 studies and analyzed overall mortality after COVID-19 infection in cancer patients compared to controls, as well as prognostic factors for severity and mortality after COVID-19 infection. The prognostic factors analyzed encompassed demographics, comorbidities, symptoms, cancer treatment within 4 weeks of COVID-19 diagnosis, and treatment for COVID-19 infection.ResultsThis meta-analysis evaluated mortality rates and related prognostic factors in cancer patients infected with COVID-19. First, 15 of the 16 studies reported mortality data; 663 patients died among a total of 3,215 people, resulting in a combined mortality rate of 21%. Second, the following poor prognostic factors were identified: male sex, older age (≥65 years), respiratory symptoms (e.g., cough and dyspnea), and other comorbidities (e.g., cardiovascular disease, hypertension, and chronic obstructive pulmonary disease).ConclusionThe mortality of cancer patients infected with COVID-19 can reach about 20%.
| S-EPMC11524355 | biostudies-literature
Project description:The associations of prognostic nutritional index (PNI) with disease severity and mortality in patients with coronavirus disease 2019 (COVID-19) remain unclear. Electronic databases, including MEDLINE, EMBASE, Google scholar, and Cochrane Library, were searched from inception to 10 May 2022. The associations of PNI with risk of mortality (primary outcome) and disease severity (secondary outcome) were investigated. Merged results from meta-analysis of 13 retrospective studies (4204 patients) published between 2020 and 2022 revealed a lower PNI among patients in the mortality group [mean difference (MD): -8.65, p < 0.001] or severity group (MD: -5.19, p < 0.001) compared to those in the non-mortality or non-severity groups. A per-point increase in PNI was associated with a reduced risk of mortality [odds ratio (OR) = 0.84, 95% CI: 0.79 to 0.9, p < 0.001, I2 = 67.3%, seven studies] and disease severity (OR = 0.84, 95% CI: 0.77 to 0.92, p < 0.001, I2 = 83%, five studies). The pooled diagnostic analysis of mortality yielded a sensitivity of 0.76, specificity of 0.71, and area under curve (AUC) of 0.79. Regarding the prediction of disease severity, the sensitivity, specificity, and AUC were 0.8, 0.61, and 0.65, respectively. In conclusion, this study demonstrated a negative association between PNI and prognosis of COVID-19. Further large-scale trials are warranted to support our findings.
| S-EPMC9322949 | biostudies-literature
Project description:Evidence shows that a substantial proportion of patients with COVID-19 experiences long-term consequences of the disease, but the predisposing factors are poorly understood. We conducted a systematic review and meta-analysis to identify factors present during COVID-19 hospitalization associated with an increased risk of exhibiting new or persisting symptoms (Post-COVID-19 Syndrome, PCS). MedLine and WebOfScience were last searched on 30 September 2021. We included English language clinical trials and observational studies investigating prognostic factors for PCS in adults previously hospitalized for COVID-19, reporting at least one individual prospective follow-up of minimum 12 weeks. Two authors independently assessed risk of bias, which was judged generally moderate. Risk factors were included in the analysis if their association with PCS was investigated by at least two studies. To summarize the prognostic effect of each factor (or group of factors), odds ratios were estimated using raw data. Overall, 20 articles met the inclusion criteria, involving 13,340 patients. Associations were statistically significant for two factors: female sex with any symptoms (OR 1.52; 95% CI 1.27-1.82), with mental health symptoms (OR 1.67, 95% CI 1.21-2.29) and with fatigue (OR 1.54, 95% CI 1.32-1.79); acute disease severity with respiratory symptoms (OR 1.66, 95% CI 1.03-2.68). The I² statistics tests were calculated to quantify the degree of study heterogeneity. This is the first meta-analysis measuring the association between factors present during COVID-19 hospitalization and long-term sequelae. The role of female sex and acute disease severity as independent prognostic factors must be confirmed in robust longitudinal studies with longer follow-up. Identifying populations at greatest risk for PCS can enable the development of targeted prevention and management strategies. Systematic review registration: PROSPERO CRD42021253467.
| S-EPMC8948827 | biostudies-literature
Project description:BackgroundThe relationship between HIV infection and COVID-19 clinical outcomes remains a significant public health research problem. We aimed to determine the association of HIV comorbidity with COVID-19 mortality.MethodsWe searched PubMed, Google Scholar and World Health Organization library databases for relevant studies. All searches were conducted from 1st to 7th December 2021. Title, abstract and full text screening was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The relative risk of mortality in HIV-infected COVID-19 patients was computed using a random-effects model. All analyses were performed using Meta and Metasens statistical packages available in R version 4.2.1 software package. The quality of included studies was assessed using the GRADE approach, Egger's test was employed to determine the risk of bias.ResultsA total of 16 studies were included in this review. Among the COVID-19 patients with HIV infection, the mortality rate due to COVID-19 was 7.97% (4 287/53,801), and among the COVID-19 patients without HIV infection, the mortality rate due to COVID-19 was 0.69% (127, 961/18, 513, 747). In the random effects model, we found no statistically significant relative risk of mortality in HIV-infected COVID-19 patients (RR 1.07, 95% CI 0.86-1.32). The between-studies heterogeneity was substantial (I2 = 91%, P < 0.01), while the risk of publication bias was not significant.ConclusionFindings did not link HIV infection with an increased risk of COVID-19 mortality. Our results add to the conflicting data on the relationship between COVID-19 and HIV infection.
| S-EPMC9110010 | biostudies-literature
Project description:Background: Most respiratory viruses show pronounced seasonality, but for SARS-CoV-2, this still needs to be documented. Methods: We examined the disease progression of COVID-19 in 6,914 patients admitted to hospitals in Europe and China. In addition, we evaluated progress of disease symptoms in 37,187 individuals reporting symptoms into the COVID Symptom Study application. Findings: Meta-analysis of the mortality risk in seven European hospitals estimated odds ratios per 1-day increase in the admission date to be 0.981 (0.973-0.988, p < 0.001) and per increase in ambient temperature of 1°C to be 0.854 (0.773-0.944, p = 0.007). Statistically significant decreases of comparable magnitude in median hospital stay, probability of transfer to the intensive care unit, and need for mechanical ventilation were also observed in most, but not all hospitals. The analysis of individually reported symptoms of 37,187 individuals in the UK also showed the decrease in symptom duration and disease severity with time. Interpretation: Severity of COVID-19 in Europe decreased significantly between March and May and the seasonality of COVID-19 is the most likely explanation.
| S-EPMC7855590 | biostudies-literature
Project description:BackgroundVenovenous extracorporeal membrane oxygenation (ECMO) can be considered for patients with COVID-19-associated acute respiratory distress syndrome (ARDS) who continue to deteriorate despite evidence-based therapies and lung-protective ventilation. The Extracorporeal Life Support Organization has emphasised the importance of patient selection; however, to better inform these decisions, a comprehensive and evidence-based understanding of the risk factors associated with poor outcomes is necessary. We aimed to summarise the association between pre-cannulation prognostic factors and risk of mortality in adult patients requiring venovenous ECMO for the treatment of COVID-19.MethodsIn this systematic review and meta-analysis, we searched MEDLINE and Embase from Dec 1, 2019, to April 14, 2022, for randomised controlled trials and observational studies involving adult patients who required ECMO for COVID-19-associated ARDS and for whom pre-cannulation prognostic factors associated with in-hospital mortality were evaluated. We conducted separate meta-analyses of unadjusted and adjusted odds ratios (uORs), adjusted hazard ratios (aHRs), and mean differences, and excluded studies if these data could not be extracted. We assessed the risk of bias using the Quality in Prognosis Studies tool and certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation approach. Our protocol was registered with the Open Science Framework registry, osf.io/6gcy2.FindingsOur search identified 2888 studies, of which 42 observational cohort studies involving 17 449 patients were included. Factors that had moderate or high certainty of association with increased mortality included patient factors, such as older age (adjusted hazard ratio [aHR] 2·27 [95% CI 1·63-3·16]), male sex (unadjusted odds ratio [uOR] 1·34 [1·20-1·49]), and chronic lung disease (aHR 1·55 [1·20-2·00]); pre-cannulation disease factors, such as longer duration of symptoms (mean difference 1·51 days [95% CI 0·36-2·65]), longer duration of invasive mechanical ventilation (uOR 1·94 [1·40-2·67]), higher partial pressure of arterial carbon dioxide (mean difference 4·04 mm Hg [1·64-6·44]), and higher driving pressure (aHR 2·36 [1·40-3·97]); and centre factors, such as less previous experience with ECMO (aOR 2·27 [1·28-4·05].InterpretationThe prognostic factors identified highlight the importance of patient selection, the effect of injurious lung ventilation, and the potential opportunity for greater centralisation and collaboration in the use of ECMO for the treatment of COVID-19-associated ARDS. These factors should be carefully considered as part of a risk stratification framework when evaluating a patient for potential treatment with venovenous ECMO.FundingNone.
| S-EPMC9766207 | biostudies-literature