The Association Between Chronic Kidney Disease and New Onset Renal Replacement Therapy on the Outcome of COVID-19 Patients: A Meta-analysis

COVID-19 outcomes among patients with dementia and age-matched controls who were hospitalized in 21 US health-care systems

INTRODUCTION

COVID-19 had devastating impacts worldwide. However, most research examining the impact of dementia on COVID-19 outcomes has been conducted in Europe and Asia and has not examined dementia subtypes.

METHODS

A retrospective analysis of electronic health record data from 21 US health-care systems examined relationships of all-cause dementia, Alzheimer's disease (AD), and vascular dementia with in-hospital mortality, intensive care unit (ICU) admission, and hospital stay duration.

RESULTS

All-cause dementia, but not AD or vascular dementia independently, was associated with increased mortality risk, the inclusion of discharge to hospice as a mortality equivalent increased risk for mortality for all-cause dementia, and AD and vascular dementia. Patients with all-cause dementia and AD were less likely to be admitted to the ICU than patients without. Patients with any form of dementia had longer hospital stays than patients without.

DISCUSSION

Dementia was associated with increased mortality or hospice discharge, decreased ICU admissions, and longer hospital stays.

HIGHLIGHTS

Only all-cause dementia was associated with increased mortality risk. This risk was lower than what has been published in previous research. Combining mortality and hospice discharge increased risk for all dementia subtypes. All-cause and Alzheimer's disease (AD) dementia were associated with decreased intensive care unit admissions. All-cause, vascular, and AD dementia were associated with longer hospital stays.

Dose response relationship between D-dimer level and mortality in critically ill COVID-19 patients: a retrospective observational study

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a global pandemic. Coagulopathy is one of the most common complications characterized by increased D-dimer level. We aimed to investigate the dose-response relationship between elevated D-dimer level and mortality in critically ill COVID-19 patients.

METHODS

This was a retrospective observational study in 259 critically ill COVID-19 patients requiring intensive care unit admission between March and December 2020. We compared the mortality rate between patients with and without elevated D-dimer. Receiver operating characteristic (ROC) curve analysis, Fagan's nomogram, and dose-response relationship were performed to determine the association between D-dimer level and mortality.

RESULTS

Overall mortality rate was 40.9% (106 patients). Median D-dimer level was higher in non-survivor group (10,170 ng/mL vs 4,050 ng/mL, p=0.028). The association remained significant after multivariate logistic regression analysis (p=0.046). The optimal cut-off for D-dimer level to predict mortality from ROC curve analysis was 9,020 ng/mL (OR (odds ratio) 3.73 [95% CI (confidence interval) 1.91 - 7.28], p<0.001). D-dimer level >9,020 ng/mL confers 67% posterior probability of mortality and D-dimer level <9,020 ng/mL had 35% probability of mortality.

CONCLUSIONS

There was a non-linear dose-response relationship between D-dimer level and mortality with P nonlinearity of 0.004. D-dimer level was associated with mortality in critically ill COVID-19 patients in the non-linear dose-response relationship.

Admission Predictors of Mortality in Hospitalized COVID-19 Patients-A Serbian Cohort Study

Background: Early prediction of COVID-19 patients’ mortality risk may be beneficial in adequate triage and risk assessment. Therefore, we aimed to single out the independent morality predictors of hospitalized COVID-19 patients among parameters available on hospital admission. Methods: An observational, retrospective−prospective cohort study was conducted on 703 consecutive COVID-19 patients hospitalized in the University Clinical Center Kragujevac between September and December 2021. Patients were followed during the hospitalization, and in-hospital mortality was observed as a primary end-point. Within 24 h of admission, patients were sampled for blood gas and laboratory analysis, including complete blood cell count, inflammation biomarkers and other biochemistry, coagulation parameters, and cardiac biomarkers. Socio-demographic and medical history data were obtained using patients’ medical records. Results: The overall prevalence of mortality was 28.4% (n = 199). After performing multiple regression analysis on 20 parameters, according to the initial univariate analysis, only four independent variables gave statistically significant contributions to the model: SaO2 < 88.5 % (aOR 3.075), IL-6 > 74.6 pg/mL (aOR 2.389), LDH > 804.5 U/L (aOR 2.069) and age > 69.5 years (aOR 1.786). The C-index of the predicted probability calculated using this multivariate logistic model was 0.740 (p < 0.001). Conclusions: Parameters available on hospital admission can be beneficial in predicting COVID-19 mortality.

Hypocalcemia: a key biomarker in hospitalized COVID-19 patients

Background

At the end of 2019 a new respiratory syndrome emerged in China named Coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 infection. Considering the severity of the disease in adult subjects with one or more chronic pathologies, it was mandatory to find simple and effective biomarkers for negative prognosis of the disease easily available at the admission to the hospital.

Methods

To identify possible parameters showing association with the outcome in COVID-19 patients with pre-existing chronic diseases, blood biochemical profiles of 511 patients, enrolled from March to June 2020, were retrospectively evaluated. The pathological conditions taken into consideration were diabetes, arterial hypertension, chronic kidney disease, cardiovascular diseases, chronic obstructive pulmonary disease, obesity, and cancer. All the data were collected upon admission to the emergency room (ER) during the indicated period.

Results

We observed that serum and ionized calcium were prevalently altered in our cohort. We determined that hypocalcemia was a major parameter associated with mechanical ventilation and poor prognosis, correlating also with the presence of comorbidities such as cardiovascular diseases, chronic kidney disease, and cancer. In addition, we found a positive correlation between hypocalcemia and clinical complications during hospitalizations.

Conclusions

Our results strengthen the relevance of serum calcium concentration as a useful prognostic biomarker in hospitalized COVID-19 patients.

Statin and mortality in COVID-19: a systematic review and meta-analysis of pooled adjusted effect estimates from propensity-matched cohorts

PURPOSE

Statin potentially improved outcome in patients with COVID-19. Patients who receive statin generally have a higher proportion of comorbidities than those who did not, which may introduce bias. In this meta-analysis, we aimed to investigate the association between statin use and mortality in patients with COVID-19 by pooling the adjusted effect estimates from propensity-score matching (PSM) matched studies or randomised controlled trials to reduce bias.

METHODS

A systematic literature search using the PubMed, Scopus and Embase databases were performed up until 1 March 2021. Studies that were designed the study to assess statin and mortality using PSM with the addition of Inverse Probability Treatment Weighting or multivariable regression analysis on top of PSM-matched cohorts were included. The effect estimate was reported in term of relative risk (RR).

RESULTS

14 446 patients were included in the eight PSM-matched studies. Statin was associated with decreased mortality in patients with COVID-19 (RR 0.72 (0.55, 0.95), p=0.018; I2: 84.3%, p<0.001). Subgroup analysis in patients receiving statin in-hospital showed that it was associated with lower mortality (RR 0.71 (0.54, 0.94), p=0.030; I2: 64.1%, p<0.025). The association of statin and mortality was not significantly affected by age (coefficient: -0.04, p=0.382), male gender (RR 0.96 (0.95, 1.02), p=0.456), diabetes (RR 1.02 (0.99, 1.04), p=0.271) and hypertension (RR 1.01 (0.97, 1.04), p=0.732) in this pooled analysis.

CONCLUSION

In this meta-analysis of PSM-matched cohorts with adjusted analysis, statin was shown to decrease the risk of mortality in patients with COVID-19.

PROSPERO REGISTRATION NUMBER

CRD42021240137.

Polycystic ovary syndrome and risks for COVID-19 infection: A comprehensive review : PCOS and COVID-19 relationship

This comprehensive review aimed to evaluate the relationship between SARS-CoV-2 infection (the cause of coronavirus disease 2019, or COVID-19) and the metabolic and endocrine characteristics frequently found in women with polycystic ovary syndrome (PCOS). In the general population, COVID-19 is more severe in subjects with dyslipidemia, obesity, diabetes mellitus, and arterial hypertension. Because these conditions are comorbidities commonly associated with PCOS, it was hypothesized that women with PCOS would be at higher risk for acquiring COVID-19 and developing more severe clinical presentations. This hypothesis was confirmed in several epidemiological studies. The present review shows that women with PCOS are at 28%-50% higher risk of being infected with the SARS-CoV-2 virus at all ages and that, in these women, COVID-19 is associated with increased rates of hospitalization, morbidity, and mortality. We summarize the mechanisms of the higher risk of COVID-19 infection in women with PCOS, particularly in those with carbohydrate and lipid abnormal metabolism, hyperandrogenism, and central obesity.

Dyslipidemia Increases the Risk of Severe COVID-19: A Systematic Review, Meta-analysis, and Meta-regression

Objective:

This systematic review and meta-analysis aimed to evaluate whether dyslipidemia affects the mortality and severity of COVID-19, we also aimed to evaluate whether other comorbidities influence the association.

Methods:

A systematic literature search using PubMed, Embase, and EuropePMC was performed on 8 October 2020. This study’s main outcome is a poor composite outcome, comprising of mortality and severe COVID-19.

Results:

There were 9 studies with 3663 patients. The prevalence of dyslipidemia in this pooled analysis was 18% (4%-32%). Dyslipidemia was associated with increased composite poor outcome (RR 1.39 [1.02, 1.88], P = .010; I²: 56.7%, P = .018). Subgroup analysis showed that dyslipidemia was associated with severe COVID-19 (RR 1.39 [1.03, 1.87], P = .008; I²: 57.4%, P = .029). Meta-regression showed that the association between dyslipidemia and poor outcome varies by age (coefficient: −0.04, P = .033), male gender (coefficient: −0.03, P = .042), and hypertension (coefficient: −0.02, P = .033), but not diabetes (coefficient: −0.24, P = .135) and cardiovascular diseases (coefficient: −0.01, P = .506). Inverted funnel-plot was relatively symmetrical. Egger’s test indicates that the pooled analysis was not statistically significant for small-study effects (P = .206).

Conclusion:

Dyslipidemia potentially increases mortality and severity of COVID-19. The association was stronger in patients with older age, male, and hypertension.

PROSPERO Registration Number: CRD42020213491

Dipeptidyl peptidase-4 (DPP-IV) inhibitor was associated with mortality reduction in COVID-19 - A systematic review and meta-analysis

INTRODUCTION

This systematic review and meta-analysis aimed to synthesize the latest evidence on the effect of dipeptidyl peptidase-4 (DPP-IV) inhibitor in patients with COVID-19.

METHODS

We performed a systematic literature search from the PubMed, Scopus, Embase, and Clinicaltrials.gov up until 15 July 2021. Studies that met the following criteria were included: prospective or retrospective observational studies or case series or randomized controlled trials (RCTs) reporting DPP-IV inhibitor use in patients with COVID-19 and mortality. The intervention group was patients receiving DPP-IV inhibitor. The control group was patients that did not receive DPP-IV inhibitor. The outcome was mortality reported as odds ratio (OR).

RESULTS

There were 11 studies consisting of 5950 patients in this meta-analysis. DPP-IV inhibitor use was associated with reduced mortality (OR 0.75 [0.56, 0.99], p = 0.043, I2: 42.9, p = 0.064) compared to those that did not receive DPP-IV inhibitor. Sensitivity analysis using the fixed-effect model (OR 0.75 [0.63, 0.88], p < 0.001, I2: 42.9, p = 0.064) also showed mortality benefit. The association between DPP-IV inhibitor and mortality was not significantly affected by age (p = 0.540), sex (p = 0.054), hypertension (p = 0.320), location (continent; p = 0.532), and retrospective/prospective nature of the study (p = 0.840). However, the association was affected by metformin (OR 1.03 [95% CI 1.01, 1.06], p = 0.010) and ACEI/ARB use (OR 1.06 [95% CI 1.02, 1.10], p = 0.004).

CONCLUSION

This meta-analysis showed that DPP-IV inhibitor was associated with reduced mortality in patients with COVID-19.

Kidney disease and COVID-19 disease severity-systematic review and meta-analysis

We aimed to identify prevalence and association of comorbid chronic kidney disease (CKD), acute kidney injury (AKI) and utilization prevalence of continuous renal replacement therapy (CRRT) in COVID-19-hospitalized patients as a function of severity status. With the ongoing struggle across the globe to combat COVID-19 disease, published literature has described the role of kidney disease in COVID-19 patients based on single/multicenter experiences across the globe. We extracted data from observational studies describing comorbid CKD, AKI and CRRT and outcomes and severity of COVID-19-hospitalized patients from December 1, 2019-August 20, 2020 following PRISMA guidelines. Severity of COVID-19 includes intensive care unit admission, oxygen saturation < 90%, invasive mechanical ventilation utilization, in-hospital admission and mortality. Meta-analysis was performed using a random-effects model to calculate pooled estimates, and forest plots were created. In total, 29 studies with 15,017 confirmed COVID-19 patients were included. The overall prevalence of AKI was 11.6% [(430/3693)], comorbid CKD 9.7% [(1342/13,728)] and CRRT 2.58% [(102/3946)] in our meta-analysis. We also found higher odds of comorbid CKD (pooled OR: 1.70; 95%CI: 1.21-2.40; p = 0.002), AKI (8.28; 4.42-15.52; p < 0.00001) and utilization of CRRT (16.90; 9.00-31.74; p < 0.00001) in patients with severe COVID-19 disease. Conclusion Our meta-analysis suggests that comorbid CKD, AKI and utilization of CRRT were significantly associated with COVID-19 disease severity. Clinicians should focus on early triaging of COVID-19 patients with comorbid CKD and at risk for AKI to prevent complication and mortality.

COVID-19 and chronic kidney disease: an updated overview of reviews

BACKGROUND

Coronavirus disease (COVID-19) has resulted in the death of more than 3.5 million people worldwide. While COVID-19 mostly affects the lungs, different comorbidities can have an impact on its outcomes. We performed an overview of reviews to assess the effect of Chronic Kidney Disease (CKD) on contracting COVID-19, hospitalization, mortality, and disease severity.

METHODS

We searched published and preprint databases. We updated the reviews by searching for primary studies published after August 2020, and prioritized reviews that are most updated and of higher quality using the AMSTAR tool.

RESULTS

We included 69 systematic reviews and 66 primary studies. Twenty-eight reviews reported on the prevalence of CKD among patients with COVID-19, which ranged from 0.4 to 49.0%. One systematic review showed an increased risk of hospitalization in patients with CKD and COVID-19 (RR = 1.63, 95% CI 1.03-2.58) (Moderate certainty). Primary studies also showed a statistically significant increase of hospitalization in such patients. Thirty-seven systematic reviews assessed mortality risk in patients with CKD and COVID-19. The pooled estimates from primary studies for mortality in patients with CKD and COVID-19 showed a HR of 1.48 (95% CI 1.33-1.65) (Moderate certainty), an OR of 1.77 (95% CI 1.54-2.02) (Moderate certainty) and a RR of 1.6 (95% CI 0.88-2.92) (Low certainty).

CONCLUSIONS

Our review highlights the impact of CKD on the poor outcomes of COVID-19, underscoring the importance of identifying strategies to prevent COVID-19 infection among patients with CKD.

Elevated De Ritis Ratio Is Associated With Poor Prognosis in COVID-19: A Systematic Review and Meta-Analysis

Objective: This meta-analysis aims to assess whether elevated De Ritis ratio is associated with poor prognosis in patients with coronavirus 2019 (COVID-19). Methods: A systematic literature search was performed using PubMed, Embase, and EuropePMC databases up until September 17, 2021. De Ritis ratio is also known as Aspartate aminotransferase/alanine transaminase (AST/ALT) ratio. The main outcome was poor prognosis, a composite of mortality, severity, the need for ICU care, and intubation. The effect measure was odds ratios (ORs) and mean differences. We generated sensitivity and specificity, negative and positive likelihood ratio (NLR and PLR), diagnostic odds ratio (DOR), and area under curve (AUC). Results: There were eight studies with 4,606 patients. De Ritis ratio was elevated in 44% of the patients. Patients with poor prognosis have higher De Ritis ratio [mean difference 0.41 (0.31, 0.50), p < 0.001; I 2: 81.0%] and subgroup analysis showed that non-survivors also have higher De Ritis Ratio [mean difference 0.47 (0.46, 0.48), p < 0.001; I 2: 0%]. Elevated De Ritis ratio was associated with poor prognosis [OR 3.28 (2.39, 4.52), p < 0.001; I 2: 35.8%]. It has a sensitivity of 55% (36-73), specificity of 71% (52-85), PLR 1.9, NLR.63, DOR of 3 (2-4), and AUC of.67 (0.63-0.71). The posterior probability of poor prognosis was 38% if De Ritis is elevated, while 17% if De Ritis is not elevated. Conclusion: Elevated De Ritis ratio is associated with poor prognosis in patients with COVID-19. Systematic Review Registration: PROSPERO ID: CRD42020216634.

Racial Health Disparity and COVID-19

The infection by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and resultant coronavirus diseases-19 (COVID-19) disproportionally affects minorities, especially African Americans (AA) compared to the Caucasian population. The AA population is disproportionally affected by COVID-19, in part, because they have high prevalence of underlying conditions such as obesity, diabetes, and hypertension, which are known to exacerbate not only kidney diseases, but also COVID-19. Further, a decreased adherence to COVID-19 guidelines among tobacco smokers could result in increased infection, inflammation, reduced immune response, and lungs damage, leading to more severe form of COVID-19. As a result of high prevalence of underlying conditions that cause kidney diseases in the AA population coupled with tobacco smoking make the AA population vulnerable to severe form of both COVID-19 and kidney diseases. In this review, we describe how tobacco smoking interact with SARS-CoV-2 and exacerbates SARS-CoV-2-induced kidney diseases including renal failure, especially in the AA population. We also explore the role of extracellular vesicles (EVs) in COVID-19 patients who smoke tobacco. EVs, which play important role in tobacco-mediated pathogenesis in infectious diseases, have also shown to be important in COVID-19 pathogenesis and organ injuries including kidney. Further, we explore the potential role of EVs in biomarker discovery and therapeutics, which may help to develop early diagnosis and treatment of tobacco-induced renal injury in COVID-19 patients, respectively.

COVID-19 and Cardiovascular Complications: An Updated Review

COVID-19 has become a global pandemic. Patients with pre-existing comorbidities such as hypertension, diabetes, and cardiovascular disease (CVD) are associated with greater severity and higher mortality. COVID-19 can cause cardiovascular complications, including myocardial injury, myocarditis, heart failure, acute coronary syndrome, and coagulation abnormalities. Possible pathophysiology and molecular pathways driving these disease processes are cytokine release syndrome, RAAS system dysregulation, plaque destabilization and coagulation disorders  Myocarditis is one concern among persons who received mRNA-Based COVID-19 vaccines. There are several cardiovascular complications that are possibly caused by COVID-19 treatments, such as QT interval prolongation, arrhythmia, and hypotension. Due to increasingly recognized CVD damage in COVID-19, we need to understand about COVID-19 related to cardiovascular complications and treatment strategies.

The effects of aspirin on the outcome of COVID-19: A systematic review and meta-analysis

Background

Repurposing the use of aspirin to treat hospitalized patients with COVID-19 is a sensible approach. However, several previous studies showed conflicting results. This meta-analysis was aimed to assess the effect of aspirin on the outcome in patients with COVID-19.

Methods

Systematic search using relevant keywords was carried out via several electronic databases until February 21, 2021. Research studies on adults COVID-19 patients with documentation on the use of aspirin and reported our outcomes of interest were included in the analysis. Our main outcome of interest was all types of mortality, while the incidence of thrombosis and bleeding were considered as secondary outcomes. Estimated risk estimates of the included studies were then pooled using DerSimonian-Laird random-effect models regardless heterogeneity.

Results

Seven studies with a total of 34,415 patients were included in this systematic review and meta-analysis. The use of aspirin was associated with a reduced risk of mortality (RR 0.56, 95% CI 0.38–0.81, P = 0.002; I²: 68%, P = 0.005). Sensitivity analysis by differentiating in-hospital (active aspirin prescription) and pre-hospital use of aspirin could significantly reduce the heterogeneity (I²: 1%, P = 0.4). Only one study reported the incidence of major bleeding between aspirin and non-aspirin users (6.1% vs. 7.6%, P = 0.61). The association between the use of aspirin and the incidence of thrombosis were contradictory in two studies.

Conclusion

The use of aspirin was significantly associated with a reduced risk of mortality among patients with COVID-19. Due to limited studies, the effect of aspirin on the incidence of thrombosis and bleeding in patients with COVID-19 could not be drawn definitively.

Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence

BACKGROUND

This study applies an umbrella review approach to summarise the global evidence on the risk of severe COVID-19 outcomes in patients with pre-existing health conditions.

METHODS

Systematic reviews (SRs) were identified in PubMed, Embase/Medline and seven pre-print servers until December 11, 2020. Due to the absence of age-adjusted risk effects stratified by geographical regions, a re-analysis of the evidence was conducted. Primary studies were extracted from SRs and evaluated for inclusion in the re-analysis. Studies were included if they reported risk estimates (odds ratio (OR), hazard ratio (HR), relative risk (RR)) for hospitalisation, intensive care unit admission, intubation or death. Estimated associations were extracted from the primary studies for reported pre-existing conditions. Meta-analyses were performed stratified for each outcome by regions of the World Health Organization. The evidence certainty was assessed using GRADE. Registration number CRD42020215846.

RESULTS

In total, 160 primary studies from 120 SRs contributed 464 estimates for 42 pre-existing conditions. Most studies were conducted in North America, European, and Western Pacific regions. Evidence from Africa, South/Latin America, and the Eastern Mediterranean region was scarce. No evidence was available from the South-East Asia region. Diabetes (HR range 1.2-2.0 (CI range 1.1-2.8)), obesity (OR range 1.5-1.75 (CI range 1.1-2.3)), heart failure (HR range 1.3-3.3 (CI range 0.9-8.2)), COPD (HR range 1.12-2.2 (CI range 1.1-3.2)) and dementia (HR range 1.4-7.7 (CI range 1.2-39.6)) were associated with fatal COVID-19 in different regions, although the estimates varied. Evidence from Europe and North America showed that liver cirrhosis (OR range 3.2-5.9 (CI range 0.9-27.7)) and active cancer (OR range 1.6-4.7 (CI range 0.5-14.9)) were also associated with increased risk of death. Association between HIV and undesirable COVID-19 outcomes showed regional heterogeneity, with an increased risk of death in Africa (HR 1.7 (CI 1.3-2.2)). GRADE certainty was moderate to high for most associations.

CONCLUSION

Risk of undesirable COVID-19 health outcomes is consistently increased in certain patient subgroups across geographical regions, showing high variability in others. The results can be used to inform COVID-19 vaccine prioritisation or other intervention strategies.

Challenge in diagnosis of COVID-19 in hemodialysis patient: a case report and brief review of the literature

Diagnosis of COVID-19 in end-stage kidney disease (ESKD) patients on hemodialysis is challenging,  as the symptoms are often atypical. Herein, we reported a confimed case of COVID-19 in a patient on maintenance hemodialysis. A 38-year-old man with ESKD on regular hemodialysis initially presented with progressive shortness of breath and dry cough, without fever. He had lymphopenia, and chest X-ray suggested pulmonary edema with cardiomegaly and suspected bilateral bronchopneumonia. The patient clinically improved after 7 days of hospitalization, and was subsequently discharged from hospital. Ten days after being discharged, the patient was re-admitted with progressive shortness of breath and dry cough, without fever. SARS-CoV-2 infection was later confirmed by a qualitative RT-PCR test and the diagnosis COVID-19 pneumonia was established. We presented a case of atypical presentation of COVID-19 in an ESKD patient on maintenance hemodialysis with a brief review of the current literature.

Current systematic reviews and meta-analyses of COVID-19

BACKGROUND

Coronavirus disease 2019 (COVID-19) has left a significant impact on the world's health, economic and political systems; as of November 20, 2020, more than 57 million people have been infected worldwide, with over 1.3 million deaths. While the global spotlight is currently focused on combating this pandemic through means ranging from finding a treatment among existing therapeutic agents to inventing a vaccine that can aid in halting the further loss of life.

AIM

To collect all systematic reviews and meta-analyses published related to COVID-19 to better identify available evidence, highlight gaps in knowledge, and elucidate further meta-analyses and umbrella reviews that are yet to be performed.

METHODS

We explored studies based on systematic reviews and meta-analyses with the key-terms, including severe acute respiratory syndrome (SARS), SARS virus, coronavirus disease, COVID-19, and SARS coronavirus-2. The included studies were extracted from Embase, Medline, and Cochrane databases. The publication timeframe of included studies ranged between January 01, 2020, to October 30, 2020. Studies that were published in languages other than English were not considered for this systematic review. The finalized full-text articles are freely accessible in the public domain.

RESULTS

Searching Embase, Medline, and Cochrane databases resulted in 1906, 669, and 19 results, respectively, that comprised 2594 studies. 515 duplicates were subsequently removed, leaving 2079 studies. The inclusion criteria were systematic reviews or meta-analyses. 860 results were excluded for being a review article, scope review, rapid review, panel review, or guideline that produced a total of 1219 studies. After screening articles were categorized, the included articles were put into main groups of clinical presentation, epidemiology, screening and diagnosis, severity assessment, special populations, and treatment. Subsequently, there was a second subclassification into the following groups: gastrointestinal, cardiovascular, neurological, stroke, thrombosis, anosmia and dysgeusia, ocular manifestations, nephrology, cutaneous manifestations, D-dimer, lymphocyte, anticoagulation, antivirals, convalescent plasma, immunosuppressants, corticosteroids, hydroxychloroquine, renin-angiotensin-aldosterone system, technology, diabetes mellitus, obesity, pregnancy, children, mental health_, smoking, cancer, and transplant.

CONCLUSION

Among the included articles, it is clear that further research is needed regarding treatment options and vaccines. With more studies, data will be less heterogeneous, and statistical analysis can be better applied to provide more robust clinical evidence. This study was not designed to give recommendations regarding the management of COVID-19.

Assessment of the influence of different factors on the risk of the development of a new coronavirus infection in patients with contrast induced acute kidney injury

Aim. The main aim of our study was to assess the role of risk factors in patients with previous contrast induced acute kidney injury (CI-AKI) on a probability of a development of the new coronavirus infection. Materials and methods. Our study includes 65 patients with the history of CI-AKI after coronary angiography from 2013 to 2017 years; 10 of them had a new coronavirus infection, which had developed before November 2020. CI-AKI was defined as an increase of 25% or more, or an absolute increase of 0.5 mg/dl or more in serum creatinine from baseline value, assessed at 48 hours following the administration of the contrast. The primary endpoint was the development of a new coronavirus infection. Results. We found statistically significant difference in the prevalence of the allergic reaction to iodine (р=0.0178) between non-COVID and COVID-patients group. Also, there were statistically significant differences in the secondary endpoints: renal replacement therapy (р=0.0178) and repeated percutaneous coronary intervention in the last year (р=0.0112) were more common among patients with coronavirus. The difference in the prevalence of arterial hypertension was near to statistical significance (р=0.0882). Conclusion. COVID-patients with CI-AKI had more allergic reactions to iodine than non-COVID patients. The trend of more common arterial hypertension between COVID-patients was found in our research. There were not any statistical significant differences in other risk factors. There were statistically significant difference in the secondary endpoints such as repeated percutaneous coronary intervention and renal replacement therapy. Other endpoints didnt show a statistically significant difference.

The Prognostic Value of Hyponatremia for Predicting Poor Outcome in Patients With COVID-19: A Systematic Review and Meta-Analysis

Background: This meta-analysis aimed to assess the prognostic value of hyponatremia in patients with COVID-19.

Methods: We performed a systematic literature search on PubMed, Scopus, ScienceDirect, and Wiley up until January 26, 2021. The key exposure was hyponatremia, defined as sodium level below the reference level. The outcome of interest was poor outcome, which was a composite of mortality, severe COVID-19, and prolonged hospitalization. Severe COVID-19 was defined severe CAP or needing ICU care or IMV. The pooled effect estimate was odds ratio (OR). Sensitivity, specificity, positive and negative likelihood ratio (PLR and NLR), diagnostic OR (DOR), and area under curve (AUC) were generated.

Results: There were 11,493 patients from eight studies included in this systematic review and meta-analysis. The incidence of hyponatremia was 24%, and incidence of poor outcome was 20%. Hyponatremia was associated with poor outcome in COVID-19 (OR 2.65 [1.89, 3.72], p < 0.001; I²: 67.2%). Meta-regression analysis showed that the association between hyponatremia and poor outcome was reduced by age (OR 0.94 [0.90, 0.98], p = 0.006) and hypertension (OR 0.96 [0.93, 0.94], p < 0.001). Hyponatremia has a sensitivity of 0.37 [0.27, 0.48], specificity of 0.82 [0.72, 0.88], PLR of 2.0 [1.5, 2.7], NLR of 0.77 [0.69, 0.87], DOR of 3 [2, 4], and AUC of 0.62 [0.58, 0.66] for predicting poor outcome. In this pooled analysis, hyponatremia has a 33% posttest probability for poor outcome, and absence of hyponatremia confers to a 16% posttest probability.

Conclusion: Hyponatremia was associated with poor outcome in patients with COVID-19.

Systematic Review Registration: PROSPERO, CRD42021233592.

In-hospital use of statins is associated with a reduced risk of mortality in coronavirus-2019 (COVID-19): systematic review and meta-analysis

BACKGROUND AND AIMS

The idea of treating COVID-19 with statins is biologically plausible, although it is still controversial. The systematic review and meta-analysis aimed to address the association between the use of statins and risk of mortality in patients with COVID-19.

METHODS

Several electronic databases, including PubMed, SCOPUS, EuropePMC, and the Cochrane Central Register of Controlled Trials, with relevant keywords up to 11 November 2020, were used to perform a systematic literature search. This study included research papers containing samples of adult COVID-19 patients who had data on statin use and recorded mortality as their outcome of interest. Risk estimates of mortality in statin users versus non-statin users were pooled across studies using inverse-variance weighted DerSimonian-Laird random-effect models.

RESULTS

Thirteen studies with a total of 52,122 patients were included in the final qualitative and quantitative analysis. Eight studies reported in-hospital use of statins; meanwhile, the remaining studies reported pre-admission use of statins. In-hospital use of statin was associated with a reduced risk of mortality (RR 0.54, 95% CI 0.50-0.58, p < 0.00001; I2: 0%, p = 0.87), while pre-admission use of statin was not associated with mortality (RR 1.18, 95% CI 0.79-1.77, p = 0.415; I2: 68.6%, p = 0.013). The funnel plot for the association between the use of statins and mortality were asymmetrical.

CONCLUSION

This meta-analysis showed that in-hospital use of statins was associated with a reduced risk of mortality in patients with COVID-19.

Predicting Poor Outcome of COVID-19 Patients on the Day of Admission with the COVID-19 Score

Background

COVID-19 may result in multiorgan failure and death. Early detection of patients at risk may allow triage and more intense monitoring. The aim of this study was to develop a simple, objective admission score, based on laboratory tests, that identifies patients who are likely going to deteriorate.

Methods

This is a retrospective cohort study of all COVID-19 patients admitted to a tertiary academic medical center in New York City during the COVID-19 crisis in spring 2020. The primary combined endpoint included intubation, stage 3 acute kidney injury (AKI), or death. Laboratory tests available on admission in at least 70% of patients (and age) were included for univariate analysis. Tests that were statistically or clinically significant were then included in a multivariate binary logistic regression model using stepwise exclusion. 70% of all patients were used to train the model, and 30% were used as an internal validation cohort. The aim of this study was to develop and validate a model for COVID-19 severity based on biomarkers.

Results

Out of 2545 patients, 833 (32.7%) experienced the primary endpoint. 53 laboratory tests were analyzed, and of these, 47 tests (and age) were significantly different between patients with and without the endpoint. The final multivariate model included age, albumin, creatinine, C-reactive protein, and lactate dehydrogenase. The area under the ROC curve was 0.850 (CI [95%]: 0.813, 0.889), with a sensitivity of 0.800 and specificity of 0.761. The probability of experiencing the primary endpoint can be calculated as p=e^{(−2.4475+0.02492age − 0.6503albumin+0.81926creat+0.00388CRP+0.00143LDH)}/1+e^{(−2.4475+ 0.02492age − 0.6503albumin+0.81926creat+0.00388CRP+0.00143LDH)}.

Conclusions

Our study demonstrated that poor outcome in COVID-19 patients can be predicted with good sensitivity and specificity using a few laboratory tests. This is useful for identifying patients at risk during admission.

The use of Janus Kinase inhibitors in hospitalized patients with COVID-19: Systematic review and meta-analysis

Background

The evidence of using JAK inhibitors among hospitalized patients with COVID-19 is conflicting. The systematic review and meta-analysis aimed to address the efficacy of Janus Kinase (JAK) Inhibitors in reducing risk of mortality among hospitalized patients with COVID-19.

Methods

Several electronic databases, including PubMed, EuropePMC, and the Cochrane Central Register of Controlled Trials, with relevant keywords "COVID-19″ AND ("JAK inhibitor" OR "Ruxolitinib" OR "Tofacitinib" OR "Fedratinib" OR "Baricitinib") AND ("Severe" OR "Mortality"), were used to perform a systematic literature search up to December 11, 2020. All studies pertinent to the predetermined eligibility criteria were included in the analysis. Our outcome of interest was all types of mortality, clinical improvement, and clinical deterioration. Dichotomous variables of our outcomes of interest were analyzed using Maentel-Haenszel formula to obtain odds ratios (ORs) and 95% confidence intervals (CI) with random-effects modeling regardless of heterogeneity.

Results

Five studies with a total of 1190 patients and were included in this systematic review and meta-analysis. The use of JAK inhibitors was associated with a reduced risk of mortality (OR 0.51, 95% CI 0.28-0.93, P = 0.02; I²: 7.8%, P = 0.354) and clinical improvement (OR 1.76, 95% CI 1.05-2.95, P = 0.032; I²: 26.4%, P = 0.253). The use of JAK inhibitors was not associated with a reduced risk of clinical deterioration (OR 0.58, 95% CI 0.28-1.19, P = 0.136; I²: 24.1%, P = 0.267).

Conclusion

The use of JAK inhibitors was significantly associated with a reduced risk of mortality, and clinical improvement in hospitalized patients with COVID-19.

Dipeptidyl peptidase-4 (DPP-4) inhibitor and mortality in coronavirus disease 2019 (COVID-19) - A systematic review, meta-analysis, and meta-regression

BACKGROUND AND AIMS

This study aims to synthesize evidence on dipeptidyl peptidase-4 (DPP-4) inhibitor and mortality in COVID-19 patients and factors affecting it.

METHODS

We performed a systematic literature search from PubMed, Scopus, and Embase databases from inception of databases up until 7 March 2021. Studies that met all of the following criteria were included: 1) observational studies or randomized controlled trials that report COVID-19 patients, 2) reporting DPP-4 inhibitor use, 3) mortality, and 4) mortality based on DPP-4 inhibitor use. The exposure was DPP-4 inhibitor, defined as DPP-4 inhibitor use that started prior to COVID-19 hospitalization. The control group was patients with no exposure to DPP-4 inhibitor. The outcome was mortality. The pooled effect estimate was reported as risk ratio (RR).

RESULTS

There were 4,477 patients from 9 studies in this systematic review and meta-analysis. 31% of (15%, 46%) the patients use DPP-4 inhibitor. Mortality occurs in 23% (15%, 31%) of the patients. DPP-4 inhibitor was associated with lower mortality in patients with COVID-19 (RR 0.76 [0.60, 0.97], p = 0.030, I2: 44.5%, p = 0.072). Meta-regression analysis showed that the association between DPP-4 inhibitor and mortality was significantly affected by metformin (RR 1.02 [1.00, 1.04], p = 0.048) and angiotensin converting enzyme inhibitor or angiotensin receptor blocker (ACEI/ARB) use (RR 1.04 [1.01, 1.07], p = 0.006), but not age (p = 0.759), sex (reference: male, p = 0.148), and hypertension (p = 0.218).

CONCLUSION

DPP-4 inhibitor use was associated with lower mortality in COVID-19 patients, and the association was weaker in patients who were also taking metformin and/or ACE inhibitors.

Colchicine and mortality in patients with coronavirus disease 2019 (COVID-19) pneumonia: A systematic review, meta-analysis, and meta-regression

Objective

This 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.

Methods

A 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.

Results

Eight 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).

Conclusion

This 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.

PROSPERO: CRD42021240609.

Proton pump inhibitor on susceptibility to COVID-19 and its severity: a systematic review and meta-analysis

BACKGROUND

The negative impacts of proton pump inhibitor (PPI), including the risk of pneumonia and mortality, have been reported previously. This meta-analysis aimed to address the current interest of whether the administration of PPI could increase the susceptibility and risk of poor outcome in COVID-19.

METHODS

We performed a systematic literature search from PubMed, Embase, EBSCOhost, and EuropePMC databases up until 3 December 2020. The main outcome was composite poor outcome which comprised of mortality and severe COVID-19. Severe COVID-19 in this study was defined as patients with COVID-19 that fulfill the criteria for severe CAP, including the need for intensive unit care or mechanical ventilation. The secondary outcome was susceptibility, based on cohort comparing COVID-19 positive and COVID-19 negative participants.

RESULTS

There were a total of 290,455 patients from 12 studies in this meta-analysis. PPI use was associated with increased composite poor outcome (OR 1.85 [1.13, 3.03], p = 0.014; I² 90.26%). Meta-regression analysis indicate that the association does not vary by age (OR 0.97 [0.92, 1.02], p = 0.244), male (OR 1.05 [0.99, 1.11], p = 0.091), hypertension (OR 9.98 [0.95, 1.02], p = 0.317), diabetes (OR 0.99 [0.93, 1.05], p = 0.699), chronic kidney disease (OR 1.01 [0.93, 1.10], p = 0.756), non-steroidal anti-inflammatory drug use (OR 1.02 [0.96, 1.09], p = 0.499), and pre-admission/in-hospital PPI use (OR 0.77 [0.26, 2.31], p = 0.644). PPI use was not associated with the susceptibility to COVID-19 (OR 1.56 [0.48, 5.05], p = 0.46; I² 99.7%).

CONCLUSION

This meta-analysis showed a potential association between PPI use and composite poor outcome, but not susceptibility.

PROSPERO ID

CRD42020224286.

Visceral adiposity, subcutaneous adiposity, and severe coronavirus disease-2019 (COVID-19): Systematic review and meta-analysis

BACKGROUND AND AIMS

Body mass index (BMI) has previously been shown to increase mortality and disease severity in patients with COVID-19, but the pooled effect estimate was heterogeneous. Although BMI is widely used as an indicator, it cannot distinguish visceral from subcutaneous fat. This systematic review and meta-analysis aimed to investigate the association between visceral adiposity, subcutaneous fat, and severe COVID-19.

METHODS

We performed a systematic literature search using the databases: PubMed, Embase, and EuropePMC. Data on visceral fat area (VTA), subcutaneous fat area (SFA), and total fat area (TFA) were collected. The outcome of interest was severe COVID-19. We used a REML random-effects model to pool the mean differences and odds ratio (OR).

RESULTS

There were 5 studies comprising of 539 patients. Patients with severe COVID-19 have a higher VTA (mean difference 41.7 cm² [27.0, 56.4], p < 0.001; I²: 0%) and TFA (mean difference 64.6 cm² [26.2, 103.1], p = 0.001; I²: 0%). There was no significant difference in terms of SFA between patients with severe and non-severe COVID-19 (mean difference 9.3 cm² [-4.9, 23.4], p = 0.199; I²: 1.2%). Pooled ORs showed that VTA was associated with severe COVID-19 (OR 1.9 [1.1, 2.2], p = 0.002; I²: 49.3%).

CONCLUSION

Visceral adiposity was associated with increased COVID-19 severity, while subcutaneous adiposity was not.

PROSPERO ID

CRD42020215876.

Prognostic value of fasting hyperglycemia in patients with COVID-19 - Diagnostic test accuracy meta-analysis

Aims

This meta-analysis aimed to assess the prognostic value of fasting hyperglycemia in patients with COVID-19.

Methods

A systematic literature search on PubMed, Embase, and Scopus were performed up until February 18, 2021. Fasting hyperglycemia was defined as fasting plasma glucose level above the reference value. The outcome of interest was poor outcome, which was a composite of mortality and severe COVID-19. The effect estimate was in odds ratio (OR).

Results

There were 9045 patients from 12 studies included in this systematic review and meta-analysis. The prevalence of fasting hyperglycemia was 29%. The incidence of poor outcome was 15%. Fasting hyperglycemia was associated with poor outcome in COVID-19 (OR 4.72 [3.32, 6.72], p < 0.001; I²: 69.8%, p < 0.001). Subgroup analysis in patients without prior history of diabetes showed that fasting hyperglycemia was associated with poor outcome in COVID-19 (OR 3.387 [2.433, 4.714], p < 0.001; I²: 0, p = 0.90). Fasting hyperglycemia has a sensitivity of 0.57 [0.45, 0.68], specificity of 0.78 [0.70, 0.84], PLR of 2.6 [2.0, 3.3], NLR of 0.55 [0.44, 0.69], DOR of 5 [3, 7], and AUC of 0.74 [0.70, 0.78] for predicting poor outcome. In this pooled analysis, fasting hyperglycemia has a 32% post-test probability for poor outcome, and absence of fasting hyperglycemia confers to a 9% post-test probability. Meta-regression and subgroup analysis showed that the sensitivity and specificity varies by chronic kidney disease but not by age, male (gender), hypertension, and chronic kidney disease.

Conclusion

Fasting hyperglycemia was associated with mortality in COVID-19 patients, with or without diabetes.

Prospero

CRD42021237997.

Low Serum 25-hydroxyvitamin D (Vitamin D) Level Is Associated With Susceptibility to COVID-19, Severity, and Mortality: A Systematic Review and Meta-Analysis

Background: This systematic review and meta-analysis aimed to assess whether low serum 25-hydroxyvitamin D (25-OHD) level is associated with susceptibility to COVID-19, severity, and mortality related to COVID-19. Methods: Systematic literature searches of PubMed, Scopus, and Embase database up until 9 December 2020. We include published observational prospective and retrospective studies with information on 25-OHD that reported main/secondary outcome. Low serum 25-OHD refers to participants with serum 25-OHD level below a cut-off point ranging from 20 to 30 ng/mL. Other cut-off values were excluded to reduce heterogeneity. The main outcome was mortality defined as non-survivor/death. The secondary outcome was susceptibility and severe COVID-19. Results: There were 14 studies comprising of 999,179 participants. Low serum 25-OHD was associated with higher rate of COVID-19 infection compared to the control group (OR = 2.71 [1.72, 4.29], p < 0.001; I 2: 92.6%). Higher rate of severe COVID-19 was observed in patients with low serum 25-OHD (OR = 1.90 [1.24, 2.93], p = 0.003; I 2: 55.3%), with a sensitivity of 83%, specificity of 39%, PLR of 1.4, NLR of 0.43, and DOR of 3. Low serum 25-OHD was associated with higher mortality (OR = 3.08 [1.35, 7.00], p = 0.011; I 2: 80.3%), with a sensitivity of 85%, specificity of 35%, PLR of 1.3, NLR of 0.44, and DOR of 3. Meta-regression analysis showed that the association between low serum 25-OHD and mortality was affected by male gender (OR = 1.22 [1.08, 1.39], p = 0.002), diabetes (OR = 0.88 [0.79, 0.98], p = 0.019). Conclusion: Low serum 25-OHD level was associated with COVID-19 infection, severe presentation, and mortality.

Prognostic performance of troponin in COVID-19: A diagnostic meta-analysis and meta-regression

BACKGROUND

Cardiac injury is frequently encountered in patients with coronavirus disease 2019 (COVID-19) and is associated with increased risk of mortality. Elevated troponin may signify myocardial damage and is predictive of mortality. This study aimed to assess the prognostic value of troponin above the 99th percentile upper reference limit (URL) for mortality, and factors affecting the relationship.

METHODS

A comprehensive literature search of PubMed (MEDLINE), Scopus and Embase was undertaken, from inception of the databases until 16 December 2020. The key exposure was elevated serum troponin, defined as troponin (of any type) above the 99th percentile URL. The outcome was mortality due to any cause.

RESULTS

In total, 12,262 patients from 13 studies were included in this systematic review and meta-analysis. The mortality rate was 23% (20-26%). Elevated troponin was observed in 31% (23-38%) of patients. Elevated troponin was associated with increased mortality [odds ratio (OR) 4.75, 95% confidence interval (CI) 4.07-5.53; P < 0.001; I² = 19.9%]. Meta-regression showed that the association did not vary with age (P = 0.218), male gender (P = 0.707), hypertension (P = 0.182), diabetes (P = 0.906) or coronary artery disease (P = 0864). The association between elevated troponin and mortality had sensitivity of 0.55 (0.44-0.66), specificity of 0.80 (0.71-0.86), positive likelihood ratio of 2.7 (2.2-3.3), negative likelihood ratio of 0.56 (0.49-0.65), diagnosis odds ratio of 5 (4-5) and area under the curve of 0.73 (0.69-0.77). The probability of mortality was 45% in patients with elevated troponin and 14% in patients with non-elevated troponin.

CONCLUSION

Elevated troponin was associated with mortality in patients with COVID-19 with 55% sensitivity and 80% specificity.

Tricuspid annular plane systolic excursion (TAPSE) measured by echocardiography and mortality in COVID-19: A systematic review and meta-analysis

Background

In this systematic review and meta-analysis, we assessed the association between tricuspid annular plane systolic excursion (TAPSE) measured by echocardiography and mortality in coronavirus disease 2019 (COVID-19).

Methods

We performed a systematic literature search using PubMed, Embase, and Scopus databases with the keywords “COVID-19” OR “SARS-CoV-2” OR “2019-nCoV” AND “Tricuspid annular plane systolic excursion” OR “TAPSE” until January 20, 2021. The main outcome was mortality. The effect estimate was reported as the hazard ratio (HR), which was pooled from the unadjusted and adjusted effect estimates retrieved from the studies included. Mean differences in TAPSE (in mm) between non-survivors and survivors were pooled.

Results

In total, 641 patients from seven studies were included in this systematic review and meta-analysis. TAPSE was lower in non-survivors compared with survivors (mean difference = –3.74 [–5.22, –2.26], p < 0.001; I²: 85.5%, p < 0.001). Each 1 mm decrease in TAPSE was associated with increased mortality (HR = 1.24 [1.18, 1.31], p < 0.001; I²: 0.0%, p = 0.491). In the pooled adjusted model, each 1 mm decrease in TAPSE was associated with increased mortality (HR = 1.21 [1.11, 1.33], p < 0.001; I²: 45.1%, p = 0.156). Meta-regression indicated that the difference in TAPSE between non-survivors and survivors was affected by chronic obstructive pulmonary disease (–0.183, p < 0.001) and pulmonary artery systolic pressure (–0.344, p = 0.039), but not by age (p = 0.668), male gender (p = 0.821), hypertension (p = 0.101), diabetes (p = 0.603), coronary artery disease (p = 0.564), smoking (p = 0.140), and left ventricular ejection fraction (p = 0.452).

Conclusion

Every 1 mm decrease in TAPSE was associated with an increase in mortality of approximately 20%.

PROSPERO ID

CRD42021232194

Dyslipidemia Increases the Risk of Severe COVID-19: A Systematic Review, Meta-analysis, and Meta-regression

OBJECTIVE

This systematic review and meta-analysis aimed to evaluate whether dyslipidemia affects the mortality and severity of COVID-19, we also aimed to evaluate whether other comorbidities influence the association.

METHODS

A systematic literature search using PubMed, Embase, and EuropePMC was performed on 8 October 2020. This study's main outcome is a poor composite outcome, comprising of mortality and severe COVID-19.

RESULTS

There were 9 studies with 3,663 patients. The prevalence of dyslipidemia in this pooled analysis was 18% (4%-32%). Dyslipidemia was associated with increased composite poor outcome (RR 1.39 [1.02, 1.88], p=0.010; I2: 56.7%, p=0.018). Subgroup analysis showed that dyslipidemia was associated with severe COVID-19 (RR 1.39 [1.03, 1.87], p=0.008; I2: 57.4%, p=0.029). Meta-regression showed that the association between dyslipidemia and poor outcome varies by age (coefficient: -0.04, p=0.033), male gender (coefficient: -0.03, p=0.042), and hypertension (coefficient: -0.02, p=0.033), but not diabetes (coefficient: -0.24, p=0.135) and cardiovascular diseases (coefficient: -0.01, p=0.506). Inverted funnel-plot was relatively symmetrical. Egger's test indicates that the pooled analysis was not statistically significant for small-study effects (p=0.206).

CONCLUSION

Dyslipidemia potentially increases mortality and severity of COVID-19. The association was stronger in patients with older age, male, and hypertension.

PROSPERO REGISTRATION NUMBER

CRD42020213491.

Prevalence of dementia and its impact on mortality in patients with coronavirus disease 2019: A systematic review and meta-analysis

AIM

In this systematic review and meta-analysis, we aimed to evaluate the prevalence of dementia in patients with COVID-19 and its association with mortality. We also aimed to discover whether age, sex and other comorbidities might affect the association between dementia and mortality.

METHODS

We carried out a systematic literature search using PubMed, SCOPUS, EuropePMC and the Cochrane Central Database. The outcome of interest was mortality, defined as clinically validated mortality/death/non-survivor in the studies. The pooled effect estimates were presented as odds ratio and adjusted odds ratio.

RESULTS

A total of 56 577 patients from 10 studies were included. The prevalence of dementia in this pooled analysis was 10% (7-13%). Dementia was associated with increased mortality in both pooled unadjusted (odds ratio 2.80, 95% CI 1.85-4.24, P < 0.001; I2 = 93.7%) and adjusted effect estimates (adjusted odds ratio 1.80, 95% CI 1.45-2.24, P < 0.001; I2 = 72.9%). The association between dementia and mortality was influenced by age (coefficient -0.047, P < 0.001) and hypertension (coefficient -0.009, P = 0.020).

CONCLUSIONS

This study showed that dementia was associated with increased mortality in COVID-19 patients. The association was affected by age and comorbidities. Geriatr Gerontol Int 2021; 21: 172-177.

Thrombocytopenia as a prognostic marker in COVID-19 patients: diagnostic test accuracy meta-analysis

This systematic review and meta-analysis aimed to evaluate thrombocytopenia as a prognostic biomarker in patients with coronavirus disease 2019 (COVID-19). We performed a systematic literature search using PubMed, Embase and EuropePMC. The main outcome was composite poor outcome, a composite of mortality, severity, need for intensive care unit care and invasive mechanical ventilation. There were 8963 patients from 23 studies. Thrombocytopenia occurred in 18% of the patients. Male gender (P = 0.037) significantly reduce the incidence. Thrombocytopenia was associated with composite poor outcome (RR 1.90 (1.43-2.52), P < 0.001; I2: 92.3%). Subgroup analysis showed that thrombocytopenia was associated with mortality (RR 2.34 (1.23-4.45), P < 0.001; I2: 96.8%) and severity (RR 1.61 (1.33-1.96), P < 0.001; I2: 62.4%). Subgroup analysis for cut-off <100 × 109/l showed RR of 1.93 (1.37-2.72), P < 0.001; I2: 83.2%). Thrombocytopenia had a sensitivity of 0.26 (0.18-0.36), specificity of 0.89 (0.84-0.92), positive likelihood ratio of 2.3 (1.6-3.2), negative likelihood ratio of 0.83 (0.75-0.93), diagnostic odds ratio of 3 (2, 4) and area under curve of 0.70 (0.66-0.74) for composite poor outcome. Meta-regression analysis showed that the association between thrombocytopenia and poor outcome did not vary significantly with age, male, lymphocyte, d-dimer, hypertension, diabetes and CKD. Fagan's nomogram showed that the posterior probability of poor outcome was 50% in patients with thrombocytopenia, and 26% in those without thrombocytopenia. The Deek's funnel plot was relatively symmetrical and the quantitative asymmetry test was non-significant (P = 0.14). This study indicates that thrombocytopenia was associated with poor outcome in patients with COVID-19.PROSPERO ID: CRD42020213974.

Hypocalcemia is associated with severe COVID-19: A systematic review and meta-analysis

BACKGROUND AND AIMS

Hypocalcemia is commonly in critically ill patients and studies have shown that hypocalcemia is prevalent in patients with COVID-19. This meta-analysis aimed to evaluate the prognostic performance of hypocalcemia in patients with coronavirus disease 2019 (COVID-19).

METHODS

We performed a systematic literature search on PubMed, Scopus, and Embase with keywords "SARS-CoV-2″ OR″COVID-19″ OR ″2019-nCoV" AND "hypocalcemia" up until 10 December 2020. The key exposure was hypocalcemia, defined as serum calcium below study-defined cut-off points. The main outcome was poor outcome, which was a composite of mortality and severity. The effect estimate of the main outcome was reported as odds ratio (OR) and its 95% confidence interval (95% CI). We also generate sensitivity, specificity, positive and negative likelihood ratio (PLR & NLR), diagnostic odds ratio (DOR), and area under curve (AUC).

RESULTS

There are 2032 patients from 7 studies included in this systematic review and meta-analysis. The incidence of poor outcome in this study was 26%. Serum calcium was lower in patients with poor outcome (mean difference -0.173 mmol/L [-0.259, -0.087], p < 0.001; I²: 31.3%). Hypocalcemia was associated with poor outcome (OR 3.19 [2.02, 5.06], p < 0.001; I²: 32.86%); with sensitivity of 0.74 [0.53, 0.88], specificity of 0.54 [0.29, 0.77], PLR of 1.6 [1.1, 2.3], NLR of 0.49 [0.35, 0.66], DOR of 3 [2, 5], and AUC of 0.70 [0.66, 0.74]. In this pooled analysis, the post-test probability was 36% in patients with hypocalcemia and 15% in patients without hypocalcemia.

CONCLUSION

Hypocalcemia was associated with poor outcome in COVID-19 patients.

PROSPERO ID

CRD42020225506.

Epidemiological pattern of orthopaedic fracture during the COVID-19 pandemic: A systematic review and meta-analysis

INTRODUCTION

This systematic review and meta-analysis aimed evaluate the 30-day mortality, number and site of fracture, mechanism of injury, and location where injury was sustained during the pandemic compared to pre-pandemic.

METHODS

We performed a systematic literature search from PubMed and Embase on original articles, research letters, and short reports which have data about the number of fractures, site of fracture, mechanism of injury, location where injury was sustained, percentage of operative intervention, mortality during the pandemic compared to a specified period of time before the pandemic. The search was finalized in October 14, 2020.

RESULTS

A total of 11,936 participants from 16 studies were included in our study. The pooled analysis indicated a higher 30-days mortality associated with fractures during the pandemic (9% vs 4%, OR 1.86 [1.05, 3.27], p = 0.03; I²: 36%, p = 0.15). The number of fractures presenting to hospitals has declined 43% (35-50%) compared to pre-pandemic. Hand fracture was fewer during the pandemic (18% vs 23%, OR 0.75 [0.58, 0.97], p = 0.03; I²: 69%, p = 0.002). Work-related traumas, high-energy falls, and domestic accidents were more common during the pandemic, while sports-related traumas were found to be less. Injuries that occurred in the sports area were lower than before the pandemic.

CONCLUSION

The present meta-analysis showed that during the COVID-19 pandemic, the number of fractures has decreased, but there is a higher mortality rate associated with fractures.

Lethal Arrhythmia (Torsade de Pointes) in COVID-19: An Event Synergistically Induced by Viral Associated Cardiac Injury, Hyperinflammatory Response, and Treatment Drug?

Arrhythmias in patients with coronavirus disease 2019 (COVID-19) are prevalent and deserve special attention because they are associated with an increased risk of fatal outcome. The mechanism of arrhythmia in COVID-19 remains unclear. Here, we report our first case of confirmed COVID-19 with documented Torsade de Pointes (TdP). A 64-year-old woman, previously healthy, presented to our emergency department with progressive shortness of breath, dry cough, and 1 week of fever. She was treated with chloroquine phosphate, meropenem, and ciprofloxacin. After 5 days of admission, her condition deteriorated and she was admitted to the intensive care unit. The patient had two episodes of malignant arrhythmias within 24 hours. The former was TdP, and the latter was a fatal pulseless ventricular tachycardia that occured even after chloroquine was discontinued. There was evidence of cardiac injury shown by increased serum level of troponin I. We propose a synergistic concept of lethal arrhythmia due to direct severe acute respiratory syndrome coronavirus (SARS-CoV)-2-associated cardiac injury, hyperinflammatory response, and drug-induced arrhythmia.

Charlson comorbidity index and a composite of poor outcomes in COVID-19 patients: A systematic review and meta-analysis

BACKGROUND AND AIMS

The ongoing COVID-19 pandemic is disproportionately affecting patients with comorbidities. Therefore, thorough comorbidities assessment can help establish risk stratification of patients with COVID-19, upon hospital admission. Charlson Comorbidity Index (CCI) is a validated, simple, and readily applicable method of estimating the risk of death from comorbid disease and has been widely used as a predictor of long-term prognosis and survival.

METHODS

We performed a systematic review and meta-analysis of CCI score and a composite of poor outcomes through several databases.

RESULTS

Compared to a CCI score of 0, a CCI score of 1-2 and CCI score of ≥3 was prognostically associated with mortality and associated with a composite of poor outcomes. Per point increase of CCI score also increased mortality risk by 16%. Moreover, a higher mean CCI score also significantly associated with mortality and disease severity.

CONCLUSION

CCI score should be utilized for risk stratifications of hospitalized COVID-19 patients.