Gastrointestinal predictors of severe COVID-19: systematic review and meta-analysis
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ABSTRACT:
SUBMITTER: Aziz M
PROVIDER: S-EPMC7599357 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
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Project description:Although primarily a respiratory illness, several studies have shown that COVID-19 causes elevation of liver enzymes and various gastrointestinal (GI) symptoms. The aim of this study was to undertake a systematic review and meta-analysis to determine whether the presence of gastrointestinal (GI) symptoms contributed toward COVID-19 severity, and identify the GI symptoms characteristic of severe COVID-19. We conducted a literature search of PubMed from December 1, 2019, to June 30, 2020, and identified all reports with GI symptoms reported. A meta-analysis comparing the severity of COVID-19 with the presence of liver enzyme elevation and GI symptoms was performed using RevMan version 5.4. Pooled data from 15,305 unique reverse transcriptase-polymerase chain reaction positive COVID-19 patients from 44 studies were analyzed. We found that the severe COVID-19 patients significantly had abdominal pain compared to the non-severe COVID-19 patients (OR = 2.70, 95% CI 1.17-6.27, Z = 2.32, p = 0.02, I2 = 0%) by analyzed 609 patients of 4 studies who reported both abdominal pain and COVID-19 severity. However, there was no significant difference in the incidence of diarrhea, nausea, or vomiting between the two groups. Thus, this systematic review and meta-analysis demonstrated that abdominal pain could be characteristic of severe COVID-19 infections. Compared with other viral infections that primarily infect the respiratory system, patients with COVID-19 have a slightly lower frequency of diarrheal symptoms with abdominal pain. However, to confirm this, further studies with COVID-19 patients across various countries and ethnicities are required.
| S-EPMC7987120 | biostudies-literature
Project description:The novel coronavirus disease 2019 (COVID-19) has been reported to affect the gastrointestinal system with a variety of symptoms, including bleeding. The prevalence of bleeding in these patients remains unclear. The aim of this meta-analysis is to estimate the rate of gastrointestinal bleeding in COVID-19 patients and its association with mortality. MEDLINE and Embase were searched through December 20, 2020. Studies reporting COVID-19 patients with and without gastrointestinal bleeding were included. Estimated prevalence with 95% confidence intervals (CI) was pooled; heterogeneity was expressed as I 2. Metaregression analysis was performed to assess the impact of confounding covariates. Ten studies met the inclusion criteria and were included in the analysis. A total of 91887 COVID-19 patients were considered, of whom 534 reported gastrointestinal bleeding (0.6%) [409 (76.6%) upper and 121 (22.7%) lower gastrointestinal bleeding (UGIB and LGIB, resp.)]. The overall pooled gastrointestinal bleeding rate was 5% [95% CI 2-8], with high heterogeneity (I 2 99.2%); "small study effect" was observed using the Egger test (p=0.049). After removing two outlier studies, the pooled bleeding rate was 2% [95% CI 0-4], with high heterogeneity (I 2 99.2%), and no "small study effect" (p=0.257). The pooled UGIB rate was 1% (95% CI 0-3, I 2 98.6%, p=0.214), whereas the pooled LGIB rate was 1% (95% CI 0-2, I 2 64.7%, p=0.919). Metaregression analysis showed that overall estimates on gastrointestinal bleeding were affected by studies reporting different sources of bleeding. No significant association between gastrointestinal bleeding and mortality was found. In this meta-analysis of published studies, individuals with COVID-19 were found to be at risk for gastrointestinal bleeding, especially upper gastrointestinal bleeding.
| S-EPMC8429023 | biostudies-literature
Project description:This systemic review and meta-analysis aimed to assess the efficacy of tocilizumab for the treatment of severe coronavirus disease 2019 (COVID-19). Candidate studies up to 24 May 2020 were identified from PubMed, Cochrane Library, Embase, medRxiv and bioRxiv. Treatment outcomes included mortality, risk of intensive care unit (ICU) admission and the requirement for mechanical ventilation (MV). Seven retrospective studies involving 592 adult patients with severe COVID-19, including 240 in the tocilizumab group and 352 in the control group, were enrolled. All-cause mortality of severe COVID-19 patients among the tocilizumab group was 16.3% (39/240), which was lower than that in the control group (24.1%; 85/352). However, the difference did not reach statistical significance [risk ratio (RR) = 0.62, 95% confidence interval (CI) 0.31-1.22; I2 = 68%]. Additionally, risk of ICU admission was similar between the tocilizumab and control groups (35.1% vs. 15.8%; RR = 1.51, 95% CI 0.33-6.78; I2 = 86%). The requirement for MV was similar between the tocilizumab and control groups (32.4% vs. 28.6%; RR = 0.82, 95% CI 0.14-4.94; I2 = 91%). However, these non-significant differences between the tocilizumab and control groups may have been the result of baseline characteristics of the tocilizumab group, which were more severe than those of the control group. Based on low-quality evidence, there is no conclusive evidence that tocilizumab would provide any additional benefit to patients with severe COVID-19. Therefore, further recommendation of tocilizumab for COVID-19 cases should be halted until high-quality evidence from randomised controlled trials is available.
| S-EPMC7377685 | biostudies-literature
Project description:BackgroundTo systematically review clinical and biochemical characteristics associated with the severity of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related disease (COVID-19).Materials and methodsSystematic review of observational studies from PubMed, ISI Web of Science, SCOPUS and Cochrane databases including people affected by COVID-19 and reporting data according to the severity of the disease. Data were combined with odds ratio (OR) and metanalysed. Severe COVID-19 was defined by acute respiratory distress syndrome, intensive care unit admission and death.ResultsWe included 12 studies with 2794 patients, of whom 596 (21.33%) had severe disease. A slightly higher age was found in severe vs non-severe disease. We found that prevalent cerebrovascular disease (odds ratio [OR] 3.66, 95% confidence interval [CI] 1.73-7.72), chronic obstructive pulmonary disease (OR: 2.39, 95% CI 1.10-5.19), prevalent cardiovascular disease (OR: 2.84, 95% CI 1.59-5.10), diabetes (OR: 2.78, 95% CI 2.09-3.72), hypertension (OR: 2.24, 95% CI 1.63-3.08), smoking (OR: 1.54, 95% CI 1.07-2.22) and male sex (OR: 1.22, 95% CI 1.01-1.49) were associated with severe disease. Furthermore, increased procalcitonin (OR: 8.21, 95% CI 4.48-15.07), increased D-Dimer (OR: 5.67, 95% CI 1.45-22.16) and thrombocytopenia (OR: 3.61, 95% CI 2.62-4.97) predicted severe infection.ConclusionCharacteristics associated with the severity of SARS-CoV-2 infection may allow an early identification and management of patients with poor outcomes.
| S-EPMC7435565 | biostudies-literature
Project description:Background and aimThis review investigates the role of gastrointestinal and hepatic manifestations in COVID-19, particularly with regard to the prevalence of isolated gastrointestinal (GI) symptoms.MethodsWe searched PubMed, Embase, and Cochrane library for COVID-19 publications from 1 December 2019 to 18 May 2020. We included any study that reported the presence of GI symptoms in a sample of >5 COVID-19 patients. Data collection and risk of bias assessment were performed independently by two reviewers. Where ?3 studies reported data sufficiently similar to allow calculation of a pooled prevalence, we performed random effects meta-analysis.ResultsThis review included 17?776 COVID-19 patients from 108 studies. Isolated GI symptoms only occurred in 1% (95% confidence interval [CI] 0-6%) of patients. GI symptoms were reported in 20% (95% CI 15-24%) of patients. The most common were anorexia (21%, 95% CI 15-27%), diarrhea (13%, 95% CI 11-16%), nausea or vomiting (8%, 95% CI 6-11%), and abdominal pain (4%, 95% CI 2-6%). Transaminase elevations were present in 24% (95% CI 17-31%) of patients. Higher prevalence of GI symptoms were reported in studies published after 1st April, with prevalence of diarrhea 16% (95% CI 13-20), nausea or vomiting 12% (95% CI 8-16%), and any GI symptoms 24% (95% CI 18-34%). GI symptoms were associated with severe COVID-19 disease (odds ratio [OR] 2.1, 95% CI 1.3-3.2), but not mortality (OR 0.90, 95% CI 0.52-1.54).ConclusionsPatients with isolated GI symptoms may represent a small but significant portion of COVID-19 cases. When testing resources are abundant, clinicians should still consider testing patients with isolated GI symptoms or unexplained transaminase elevations for COVID-19. More recent studies estimate higher overall GI involvement in COVID-19 than was previously recognized.
| S-EPMC7753450 | biostudies-literature
Project description:Background/aimsMore than 100 million people to date have been affected by the coronavirus disease-2019 (COVID-19) pandemic. Patients with COVID-19 have a higher risk of bleeding complications. We performed a systematic review and meta-analysis to evaluate the outcomes of COVID-19 patients with signs and symptoms of acute gastrointestinal bleeding (GIB).MethodsA systematic literature search was carried out for articles published until until November 11, 2020, in the Embase, MEDLINE, Web of Science, and Cochrane Library databases. We included studies on COVID-19 patients with signs and symptoms of GIB.ResultsOur search yielded 49 studies, of which eight with a collective 127 patients (86 males and 41 females) met our inclusion criteria. Conservative management alone was performed in 59% of the patients, endoscopic evaluation in 31.5%, and interventional radiology (IR) embolization in 11%. Peptic ulcer disease was the most common endoscopic finding, diagnosed in 47.5% of the patients. Pooled overall mortality was 19.1% (95% confidence interval [CI]; 12.7%-27.6%) and pooled mortality secondary to GIB was 3.5% (95% CI; 1.3%-9.1%). The pooled risk of rebleeding was 11.3% (95% CI; 6.8%-18.4%).ConclusionThe majority of COVID-19 patients with GIB responded to conservative management, with a low mortality rate associated with GIB and the risk of rebleeding. Thus, we suggest limiting endoscopic and IR interventions to those with hemodynamic instability and those for whom conservative management was unsuccessful.
| S-EPMC8357590 | biostudies-literature
Project description:ObjectiveThere is limited information on the severity of COVID-19 infection in children with comorbidities. We investigated the effects of pediatric comorbidities on COVID-19 severity by means of a systematic review and meta-analysis of published literature.MethodsPubMed, Embase, and Medline databases were searched for publications on pediatric COVID-19 infections published January 1st to October 5th, 2020. Articles describing at least one child with and without comorbidities, COVID-19 infection, and reported outcomes were included.Results42 studies containing 275,661 children without comorbidities and 9,353 children with comorbidities were included. Severe COVID-19 was present in 5.1% of children with comorbidities, and in 0.2% without comorbidities. Random-effects analysis revealed a higher risk of severe COVID-19 among children with comorbidities than for healthy children; relative risk ratio 1.79 (95% CI 1.27 - 2.51; I2 = 94%). Children with underlying conditions also had a higher risk of COVID-19-associated mortality; relative risk ratio 2.81 (95% CI 1.31 - 6.02; I2 = 82%). Children with obesity had a relative risk ratio of 2.87 (95% CI 1.16 - 7.07; I2 = 36%).ConclusionsChildren with comorbidities have a higher risk of severe COVID-19 and associated mortality than children without underlying disease. Additional studies are required to further evaluate this relationship.
| S-EPMC7679116 | biostudies-literature
Project description:Objective:Clinical and laboratory biomarkers to predict the severity of coronavirus disease 2019 (COVID-19) are essential in this pandemic situation of which resource allocation must be urgently prepared especially in the context of respiratory support readiness. Lymphocyte count has been a marker of interest since the first COVID-19 publication. We conducted a systematic review and meta-analysis in order to investigate the association of lymphocyte count on admission and the severity of COVID-19. We would also like to analyze whether patient characteristics such as age and comorbidities affect the relationship between lymphocyte count and COVID-19. Methods:Comprehensive and systematic literature search was performed from PubMed, SCOPUS, EuropePMC, ProQuest, Cochrane Central Databases, and Google Scholar. Research articles in adult patients diagnosed with COVID-19 with information on lymphocyte count and several outcomes of interest, including mortality, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) care, and severe COVID-19, were included in the analysis. Inverse variance method was used to obtain mean differences and its standard deviations. Maentel-Haenszel formula was used to calculate dichotomous variables to obtain odds ratios (ORs) along with its 95% confidence intervals. Random-effect models were used for meta-analysis regardless of heterogeneity. Restricted-maximum likelihood random-effects meta-regression was performed for age, gender, cardiac comorbidity, hypertension, diabetes mellitus, COPD, and smoking. Results:There were a total of 3099 patients from 24 studies. Meta-analysis showed that patients with poor outcome have a lower lymphocyte count (mean difference - 361.06 μL [- 439.18, - 282.95], p < 0.001; I 2 84%) compared to those with good outcome. Subgroup analysis showed lower lymphocyte count in patients who died (mean difference - 395.35 μL [- 165.64, - 625.07], p < 0.001; I 2 87%), experienced ARDS (mean difference - 377.56 μL [- 271.89, - 483.22], p < 0.001; I 2 0%), received ICU care (mean difference - 376.53 μL [- 682.84, - 70.22], p = 0.02; I 2 89%), and have severe COVID-19 (mean difference - 353.34 μL [- 250.94, - 455.73], p < 0.001; I 2 85%). Lymphopenia was associated with severe COVID-19 (OR 3.70 [2.44, 5.63], p < 0.001; I 2 40%). Meta-regression showed that the association between lymphocyte count and composite poor outcome was affected by age (p = 0.034). Conclusion:This meta-analysis showed that lymphopenia on admission was associated with poor outcome in patients with COVID-19.
| S-EPMC7245646 | biostudies-literature
Project description:BackgroundA systematic review and meta-analysis of available studies was performed to investigate the clinical characteristics that can predict COVID-19 disease severity.Materials and methodsDatabases including PubMed, Embase, and Web of Science were searched from December 31, 2019, to May 24, 2020. Random-effects meta-analysis was used for summarizing the Pooled odds ratio (pOR) of individual clinical characteristics to describe their association with severe COVID-19 disease.ResultsA total of 3895 articles were identified, and finally, 22 studies comprising 4380 patients were included. Severe disease was more common in males than females (pOR: 1.36, 95% confidence interval [CI]: 1.08-1.70). Clinical features that were associated with significantly higher odds of severe disease were abdominal pain (pOR: 6.58, 95% CI: 1.56-27.67), breathlessness (pOR: 3.94, 95% CI: 2.55-6.07), and hemoptysis (pOR: 3.35, 95% CI: 1.05-10.74). pOR was highest for chronic obstructive pulmonary disease (pOR: 2.92, 95% CI: 1.70-5.02), followed by obesity (pOR: 2.84, 95% CI: 1.19-6.77), malignancy (pOR: 2.38, 95% CI: 1.25-4.52), diabetes (pOR: 2.29, 95% CI: 1.56-3.39), hypertension (pOR: 1.72, 95% CI: 1.23-2.42), cardiovascular disease (pOR: 1.61, 95% CI: 1.31-1.98) and chronic kidney disease (pOR: 1.46, 95% CI: 1.06-2.02), for predicting severe COVID-19.ConclusionOur analysis describes the association of specific symptoms and comorbidities with severe COVID-19 disease. Knowledge of these clinical determinants will assist the clinicians in the risk-stratification of these patients for better triage and clinical management.
| S-EPMC8054797 | biostudies-literature
Project description: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.
| S-EPMC7280666 | biostudies-literature