Colchicine, COVID-19 and hematological parameters: A meta-analysis.
Ontology highlight
ABSTRACT: Introduction
Colchicine has the potential in reducing patient morbidity and mortality in COVID-19 infection owing to its anti-inflammatory properties. This study aims to determine the efficacy of colchicine in optimizing inflammatory hematological biomarker levels among COVID-19 patients.Methods
In accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement guidelines, a systematic search was conducted using the following keywords: Colchicine, covid*, SARS-CoV-2, anti-inflammatory, trials, clinical, hematological, laboratory. Databases were searched from December 2019 until August 26, 2021: MEDLINE/PubMed, Web of Science, Cochrane, Scopus, and EMBASE. Other sources were located through ClinicalTrials.Gov, manually searching SAGE, Science Direct, Elsevier, and Google Scholar. The meta-analysis was conducted using Review Manager 5.4.Results
In total, six studies were included, of which four reported c-reactive protein (CRP) standardized mean reductions in the colchicine group (N = 165) as opposed to the control (N = 252; SMD = -0.49, p < 0.001). On noting lactate dehydrogenase (LDH) values post treatment, the colchicine group (N = 204) showed significant reductions at the end of treatment compared to control (N = 290; SMD = -0.85, p < 0.001). Finally, the D-dimer values in colchicine groups (N = 129) compared to control (N = 216) also documented a negative effect size (SMD = -0.9, p < 0.001).Conclusion
Colchicine has efficacy in reducing inflammatory biomarkers observed in moderate-to-severe COVID-19 patients. It may be worthwhile to consider monitoring the clinical and laboratory parameters of patients in further trials to consider colchicine as a strong candidate for an adjunct to COVID-19 treatment.
SUBMITTER: Sarwar M
PROVIDER: S-EPMC8646297 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:To date, coronavirus disease 2019 (COVID-19) has affected over 100 million people globally. COVID-19 can present with a variety of different symptoms leading to manifestation of disease ranging from mild cases to a life-threatening condition requiring critical care-level support. At present, a rapid prediction of disease severity and critical care requirement in COVID-19 patients, in early stages of disease, remains an unmet challenge. Therefore, we assessed whether parameters from a routine clinical hematology workup, at the time of hospital admission, can be valuable predictors of COVID-19 severity and the requirement for critical care. Hematological data from the day of hospital admission (day of positive COVID-19 test) for patients with severe COVID-19 disease (requiring critical care during illness) and patients with non-severe disease (not requiring critical care) were acquired. The data were amalgamated and cleaned and modeling was performed. Using a decision tree model, we demonstrated that routine clinical hematology parameters are important predictors of COVID-19 severity. This proof-of-concept study shows that a combination of activated partial thromboplastin time, white cell count-to-neutrophil ratio, and platelet count can predict subsequent severity of COVID-19 with high sensitivity and specificity (area under ROC 0.9956) at the time of the patient's hospital admission. These data, pending further validation, indicate that a decision tree model with hematological parameters could potentially form the basis for a rapid risk stratification tool that predicts COVID-19 severity in hospitalized patients.
| S-EPMC8322583 | biostudies-literature
Project description:The aim of this study was to identify the changes of hematologic and immunological parameters in COVID-19 patients. We collected and analyzed the data of 117 patients who were laboratory confirmed as SARS-CoV-2 infection. The cases were divided into regular group, severe group and critically ill group according to the sixth edition scheme for COVID-19 diagnosis and treatment of China. The laboratory tests included blood routine, cellular and humoral immunity indices, biochemical detections and inflammatory biomarker. Compared with regular patients, severe and critically ill patients had significantly lower lymphocyte count (p < 0.01), decreased red blood cell and hemoglobin (p < 0.01), low levels of immunoglobulin G (p < 0.05) and significantly higher in D-dimer (p < 0.0001), fibrinogen (p < 0.01), white blood cell count (p < 0.01), neutrophil count (p < 0.0001), interleukin-6 (p < 0.05), C-reactive protein (p < 0.01), procalcitonin (p < 0.01), erythrocyte sedimentation rate (p < 0.05), ferritin (p < 0.01) and lactate dehydrogenase (p < 0.0001). The specific immunoglobulin G antibodies to the SARS-CoV-2 in severe and critically ill patients were significantly lower than that in regular patients (p < 0.05). Our findings suggest that the lymphocyte counts, red blood cell counts and the immunoglobulin G antibodies of COVID-19 patients were impaired to varying degrees and the blood was in a state of hypercoagulation, which were more obvious in critically ill patients.
| S-EPMC7354745 | biostudies-literature
Project description:IntroductionColchicine may inhibit inflammasome signaling and reduce proinflammatory cytokines, a purported mechanism of COVID-19 pneumonia. The aim of this systematic review and meta-analysis is to report on the state of the current literature on the use of colchicine in COVID-19 and to investigate the reported clinical outcomes in COVID-19 patients by colchicine usage.MethodsThe literature was searched from January 2019 through January 28, 2021. References were screened to identify studies that reported the effect of colchicine usage on COVID-19 outcomes including mortality, intensive care unit (ICU) admissions, or mechanical ventilation. Studies were meta-analyzed for mortality by the subgroup of trial design (RCT vs observational) and ICU status. Studies reporting an risk ratio (RR), odds ratio (OR) and hazard ratio (HR) were analyzed separately.ResultsEight studies, reporting on 16,248 patients, were included in this review. The Recovery trial reported equivalent mortality between colchicine and non-colchicine users. Across the other studies, patients who received colchicine had a lower risk of mortality-HR of 0.25 (95% CI: 0.09, 0.66) and OR of 0.22 (95% CI: 0.09, 0.57). There was no statistical difference in risk of ICU admissions between patients with COVID-19 who received colchicine and those who did not-OR of 0.26 (95% CI: 0.06, 1.09).ConclusionColchicine may reduce the risk of mortality in individuals with COVID-19. Further prospective investigation may further determine the efficacy of colchicine as treatment in COVID-19 patients in various care settings of the disease, including post-hospitalization and long-term care.
| S-EPMC8714120 | biostudies-literature
Project description:Coronavirus disease 2019 (COVID-19) had caused huge health losses worldwide. Several drugs had been applied to treat patients with COVID-19, and repurposing colchicine had been proposed for its anti-inflammatory properties via several pathways. In this systematic review, we evaluated the effects of colchicine treatment. From inception to May 31, 2021, databases, including PubMed, EMbase, medRxiv, and Research Square were searched, and 11 studies were enrolled. A total of 17,205 COVID-19 patients with male predominance (62.9%) were analyzed. Patients with colchicine treatment had a significantly lower risk of mortality (odds ratio (OR): 0.57, 95% confidence interval (CI): 0.38-0.87, I2: 72%; p < 0.01) and a non-significantly lower rate of mechanical ventilation (OR: 0.67, 95%CI: 0.39-1.15). The side effects were mild and not significantly different (OR: 2.03, 95%CI: 0.51-8.09). Subgroup analysis with randomized controlled trials showed no statistically significant difference in the mortality (OR: 0.80, 95%CI: 0.44-1.46, I2: 33%; p = 0.22). In conclusion, our meta-analysis found that colchicine treatment was associated with a significantly lower risk of mortality in patients with COVID-19. However, this benefit was not observed in the subgroup analysis of randomized controlled trials. Further randomized controlled studies are required to confirm the potential benefits of colchicine treatment.
| S-EPMC8398430 | biostudies-literature
Project description:ObjectiveCOVID-19 virus involves respiratory as well as other body systems including cardiovascular, gastrointestinal, neurological, immunological and hematopoietic system. Patient of covid-19 pneumonia presents with wide range of hemostatic abnormalities. These hemostatic abnormalities in COVID-19 are related with disease progression, severity and mortality. The Objective of our study is to evaluate the role of hematological parameters in determination of COVID-19 disease severity.Material and methodThis was a retrospective study, conducted in Department of Pathology and Department of medicine, FMH college of Medicine and Dentistry from May 2020 to July 2020. Total of 101, confirmed cases of covid-19 disease, both genders between 17 and 75-year age were included. Hematological parameters were compared in mild, moderate, severe and critical disease group. Continuous variables were analyzed by using non parametric, Kruskal Wallis test while categorical variables were analyzed by chi-square test.ResultsOut of 101 patients, 20.8%, 51.8%,19.8% and 7.9% were in mild, moderate, severe and critical group respectively. Median (IQR) values of WBCs (p-value 0.004), ANC (p-value 0.002), NLR (p-value 0.001), D-dimer level (p-value 0.001), ferritin (0.0001), LDH (0.0001) were significantly increased in patients with critical disease. Median (IQR) values of APTT (p-value 0.003) and CRP (p- value 0.0001) were suggestively higher in patients with severe disease. Other parameters like Hemoglobin, MCV, HCT, ALC, Platelet count, prothrombin time did not show statistically significant association with severity of disease.ConclusionThe study concluded that Leukocytosis, neutrophilia, elevated Neutrophil to lymphocyte ratio, APTT, D-dimer, LDH and serum ferritin and CRP are associated with severity of covid-19 disease.
| S-EPMC7792501 | biostudies-literature
Project description:ObjectiveWe assessed the efficacy of colchicine in COVID-19 patients through a systematic review.MethodsSix databases were searched until March 2022 for studies assessing colchicine versus control in hospitalized patients with COVID-19. The primary outcome was mortality, and secondary outcome was length of hospitalization. Inverse variance and random effect meta-analyses were performed. The strength of evidence was assessed using GRADE.ResultsNine studies (five randomized clinical trials (RCTs) and four non-randomized studies of intervention (NRSI); n = 13,478). Colchicine did not reduce mortality in comparison with the standard of care in RCTs (RR 0.99; 95%CI 0.90 to 1.10; p = 0.90); however, it did reduce mortality in NRSI studies (RR 0.45; 95%CI 0.26 to 0.77; p = 0.02). In the analysis of RCTs, colchicine did not reduce the length of hospitalization in comparison with the standard of care (MD: -2.25 days; 95%CI: -9.34 to 4.84; p = 0.15). Most studies were scored as having a high risk of bias. Quality of evidence was very low for primary and secondary outcomes.ConclusionColchicine did not reduce the mortality and length of hospitalization in comparison with the standard of care in hospitalized patients with COVID-19. The published evidence is insufficient and of very low quality to recommend treatment in patients with COVID-19.
| S-EPMC9105993 | biostudies-literature
Project description:ObjectiveThis systematic review, with meta-analysis and meta-regression aims to evaluate the effect of colchicine administration on mortality in patients with coronavirus disease 2019 (COVID-19) and factors affecting the association.MethodsA systematic literature search using the PubMed, Scopus, and Embase databases were performed from inception of databases up until 3 March 2021. We included studies that fulfill all of the following criteria: 1) observational studies or randomized controlled trials (RCTs) that report COVID-19 patients, 2) reporting colchicine use, and 3) mortality within 30 days. There was no restriction on the age, inpatients or outpatients setting, and severity of diseases. The intervention was colchicine administration during treatment for COVID-19. The control was receiving placebo or standard of care. The outcome was mortality and the pooled effect estimate was reported as odds ratio (OR). Random-effects restricted maximum likelihood meta-regression was performed to evaluate factors affecting the pooled effect estimate.ResultsEight studies comprising of 5530 patients were included in this systematic review and meta-analysis. There were three RCTs and five observational studies. Pooled analysis showed that colchicine was associated with lower mortality in patients with COVID-19 (OR 0.47 [0.31, 0.72], p = 0.001; I2: 30.9, p = 0.181). Meta-regression analysis showed that the association between colchicine and mortality was reduced by increasing age (OR 0.92 [0.85, 1.00], p = 0.05), but not gender (reference: male, p = 0.999), diabetes (p = 0.376), hypertension (p = 0.133), and CAD (p = 0.354).ConclusionThis meta-analysis indicates that colchicine may reduce mortality in patients with COVID-19. Meta-regression analysis showed that the benefit was reduced as age increases.ProsperoCRD42021240609.
| S-EPMC8075849 | biostudies-literature
Project description:Introduction and objectives:Common laboratory parameters are crucial in aiding coronavirus disease 2019 (COVID-19) case detection. This study aimed to determine the differences between laboratory parameters in (1) COVID-19 versus non-COVID-19 pneumonia, and (2) severe versus non-severe COVID-19 cases. Methods:Studies were collected until March 2020, and retrieved parameters include leukocyte, neutrophil, thrombocyte, and lymphocyte counts in addition to C-reactive protein (CRP), procalcitonin (PCT) and D-dimer levels. In the presence of heterogeneity, the random-effect model (REM) was used instead of the fixed-effect model (FEM). Results:Seven studies in the first analysis showed significantly lower leukocyte, neutrophil and platelet counts in COVID-19 pneumonia (SMD = -0.42, 95%CI -0.60 to -0.25, p < 0.00001, SMD = -0.23, 95%CI -0.41 to -0.06, p = 0.01, SMD = -0.54, 95%CI -0.91 to -0.16, p = 0.0005) compared to non-COVID-19 pneumonia. Twenty-six studies in the second analysis showed significantly lower lymphocyte and thrombocyte counts (SMD = -0.56, 95%CI -0.71 to -0.40, p < 0.0001, SMD = -0.32, 95%CI -0.49 to -0.15, p = 0.0002) and significantly higher leukocyte, neutrophil, D-dimer, and CRP (SMD = 0.31, 95%CI 0.07-0.56, p = 0.01; SMD = 0.44, 95%CI 0.24-0.64, p < 0.0001; SMD = 0.53, 95%CI 0.31-0.75, p < 0.00001; SMD = 0.97, 95%CI 0.70-1.24, p < 0.00001) in severe COVID-19 compared to non-severe COVID-19. Conclusions:In conclusion, thrombocyte count is key in both diagnosis and prognosis. Low leukocyte and neutrophil counts are markers of COVID-19 infection, but contrastingly higher counts indicate progressive COVID-19. And although lymphocyte, D-dimer and CRP levels did not demonstrate diagnostic value, all indicate severity of COVID-19. Confirmation of these findings should be performed in future studies.
| S-EPMC7442896 | biostudies-literature
Project description:INTRODUCTION AND OBJECTIVES:Common laboratory parameters are crucial in aiding coronavirus disease 2019 (COVID-19) case detection. This study aimed to determine the differences between laboratory parameters in (1) COVID-19 versus non-COVID-19 pneumonia, and (2) severe versus non-severe COVID-19 cases. METHODS:Studies were collected until March 2020, and retrieved parameters include leukocyte, neutrophil, thrombocyte, and lymphocyte counts in addition to C-reactive protein (CRP), procalcitonin (PCT) and D-dimer levels. In the presence of heterogeneity, the random-effect model (REM) was used instead of the fixed-effect model (FEM). RESULTS:Seven studies in the first analysis showed significantly lower leukocyte, neutrophil and platelet counts in COVID-19 pneumonia (SMD=-0.42, 95%CI -0.60 to -0.25, p<0.00001, SMD=-0.23, 95%CI -0.41 to -0.06, p=0.01, SMD=-0.54, 95%CI -0.91 to -0.16, p=0.0005) compared to non-COVID-19 pneumonia. Twenty-six studies in the second analysis showed significantly lower lymphocyte and thrombocyte counts (SMD=-0.56, 95%CI -0.71 to -0.40, p<0.0001, SMD=-0.32, 95%CI -0.49 to -0.15, p=0.0002) and significantly higher leukocyte, neutrophil, D-dimer, and CRP (SMD=0.31, 95%CI 0.07-0.56, p=0.01; SMD=0.44, 95%CI 0.24-0.64, p<0.0001; SMD=0.53, 95%CI 0.31-0.75, p<0.00001; SMD=0.97, 95%CI 0.70-1.24, p<0.00001) in severe COVID-19 compared to non-severe COVID-19. CONCLUSIONS:In conclusion, thrombocyte count is key in both diagnosis and prognosis. Low leukocyte and neutrophil counts are markers of COVID-19 infection, but contrastingly higher counts indicate progressive COVID-19. And although lymphocyte, D-dimer and CRP levels did not demonstrate diagnostic value, all indicate severity of COVID-19. Confirmation of these findings should be performed in future studies.
| S-EPMC7274591 | biostudies-literature
Project description:Background: The recent outbreak of coronavirus disease 2019 (COVID-19) has been rapidly spreading on a global scale and poses a great threat to human health. Acute respiratory distress syndrome, characterized by a rapid onset of generalized inflammation, is the leading cause of mortality in patients with COVID-19. We thus aimed to explore the effect of risk factors on the severity of the disease, focusing on immune-inflammatory parameters, which represent the immune status of patients. Methods: A comprehensive systematic search for relevant studies published up to April 2020 was performed by using the PubMed, Web of Science, EMBASE, and China National Knowledge Internet (CNKI) databases. After extracting all available data of immune-inflammatory indicators, we statistically analyzed the risk factors of severe and non-severe COVID-19 patients with a meta-analysis. Results: A total of 4,911 patients from 29 studies were included in the final meta-analysis. The results demonstrated that severe patients tend to present with increased white blood cell (WBC) and neutrophil counts, neutrophil-lymphocyte ratio (NLR), procalcitonin (PCT), C-reaction protein (CRP), erythrocyte sedimentation rate (ESR), and Interleukin-6 (IL-6) and a decreased number of total lymphocyte and lymphocyte subtypes, such as CD4+ T lymphocyte and CD8+ T lymphocyte, compared to the non-severe patients. In addition, the WBC count>10 × 109/L, lymphocyte count<1 × 109/L, PCT>0.5 ng/mL, and CRP>10 mg/L were risk factors for disease progression in patients with COVID-19 (WBC count>10 × 109/L: OR = 2.92, 95% CI: 1.96-4.35; lymphocyte count<1 × 109/L: OR = 4.97, 95% CI: 3.53-6.99; PCT>0.5 ng/mL: OR = 6.33, 95% CI: 3.97-10.10; CRP>10 mg/L: OR = 3.51, 95% CI: 2.38-5.16). Furthermore, we found that NLR, as a novel marker of systemic inflammatory response, can also help predict clinical severity in patients with COVID-19 (OR = 2.50, 95% CI: 2.04-3.06). Conclusions: Immune-inflammatory parameters, such as WBC, lymphocyte, PCT, CRP, and NLR, could imply the progression of COVID-19. NLR has taken both the levels of neutrophil and lymphocyte into account, indicating a more complete, accurate, and reliable inspection efficiency; surveillance of NLR may help clinicians identify high-risk COVID-19 patients at an early stage.
| S-EPMC7295898 | biostudies-literature