Risk of incident diabetes post-COVID-19: A systematic review and meta-analysis.
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ABSTRACT:
SUBMITTER: Banerjee M
PROVIDER: S-EPMC9148988 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature
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Risk of incident diabetes post-COVID-19: A systematic review and meta-analysis.
Banerjee Mainak M Pal Rimesh R Dutta Sulagna S
Primary care diabetes 20220530 4
It remains undetermined whether burden of diabetes newly detected during acute COVID-19 persist in post-acute COVID phase. This meta-analysis was conducted to summarize the available literature and provide a pooled estimate of the risk of developing incident diabetes following hospital discharge or at least 28 days after the COVID-19 diagnosis compared to matched controls or severity matched influenza/ non-COVID-19 acute upper respiratory tract infections (AURI). Pooled analysis of 5787,027 subj ...[more]
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Project description:BackgroundCOVID-19 might be a risk factor for various chronic diseases. However, the association between COVID-19 and the risk of incident diabetes remains unclear. We aimed to meta-analyze evidence on the relative risk of incident diabetes in patients with COVID-19.MethodsIn this systematic review and meta-analysis, the Embase, PubMed, CENTRAL, and Web of Science databases were searched from December 2019 to June 8, 2022. We included cohort studies that provided data on the number, proportion, or relative risk of diabetes after confirming the COVID-19 diagnosis. Two reviewers independently screened studies for eligibility, extracted data, and assessed risk of bias. We used a random-effects meta-analysis to pool the relative risk with corresponding 95 % confidence intervals. Prespecified subgroup and meta-regression analyses were conducted to explore the potential influencing factors. We converted the relative risk to the absolute risk difference to present the evidence. This study was registered in advance (PROSPERO CRD42022337841).Main findingsTen articles involving 11 retrospective cohorts with a total of 47.1 million participants proved eligible. We found a 64 % greater risk (RR = 1.64, 95%CI: 1.51 to 1.79) of diabetes in patients with COVID-19 compared with non-COVID-19 controls, which could increase the number of diabetes events by 701 (558 more to 865 more) per 10,000 persons. We detected significant subgroup effects for type of diabetes and sex. Type 2 diabetes has a higher relative risk than type 1. Moreover, men may be at a higher risk of overall diabetes than women. Sensitivity analysis confirmed the robustness of the results. No evidence was found for publication bias.ConclusionsCOVID-19 is strongly associated with the risk of incident diabetes, including both type 1 and type 2 diabetes. We should be aware of the risk of developing diabetes after COVID-19 and prepare for the associated health problems, given the large and growing number of people infected with COVID-19. However, the body of evidence still needs to be strengthened.
| S-EPMC9546784 | biostudies-literature
Project description:BackgroundAs the world population recovers from the COVID-19 infection, a series of acute sequelae emerge including new incident diabetes. However, the association between COVID-19 infection and new incident diabetes is not fully understood. We purpose to determine the risk of new incident diabetes after COVID-19 infection.MethodsPubMed, Embase, and Cochrane Library were used as databases to search for cohort studies published from database inception to February 4, 2024. Two reviewers independently conducted the study screening, data extraction, and risk of bias assessment. A random-effects model was adopted to pool the hazard ratio (HR) with corresponding 95% confidence intervals (CI). Subgroup analysis was conducted to explore the potential influencing factors.ResultsA total of 20 cohort studies with over 60 million individuals were included. The pooling analysis illustrates the association between COVID-19 infection and an increased risk of new incident diabetes (HR = 1.46; 95% CI: 1.38-1.55). In subgroup analysis, the risk of type 1 diabetes was HR=1.44 (95% CI: 1.13-1.82), and type 2 diabetes was HR=1.47 (95% CI: 1.36-1.59). A slightly higher risk of diabetes was found in males (HR=1.37; 95% CI: 1.30-1.45) than in females (HR=1.29; 95% CI: 1.22-1.365). The risk of incident diabetes is associated with hospitalization: non-hospitalized patients have an HR of 1.16 (95% CI: 1.07-1.26), normal hospitalized patients have an HR of 2.15 (95% CI: 1.33-3.49), and patients receiving intensive care have the highest HR of 2.88 (95% CI: 1.73-4.79).ConclusionsCOVID-19 infection is associated with an elevated risk of new incident diabetes. Patients ever infected with COVID-19 should be recognized as a high-risk population with diabetes.Systematic review registrationhttps://www.crd.york.ac.uk/prospero, identifier CRD42024522050.
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Project description:Patients recovered from COVID-19 have an increased incidence of cardiovascular disease and heart structural changes. The aim of the present manuscript is to assess the risk of incident heart failure (HF) after COVID-19 infection. Data were obtained searching MEDLINE and Scopus for all studies published at any time up to September 1, 2022 reporting the risk of incident HF in COVID-19 recovered patients. The cumulative post-COVID-19 incidence and risk of incident HF were pooled using a random effects model and presented with the corresponding 95% confidence interval (CI). Statistical heterogeneity was measured using the Higgins I2 statistic. Overall, 21,463,173 patients (mean age 54.5 years, 58.7% males) were analyzed. Among them, 1,628,424 had confirmed COVID-19 infection while the remaining 19,834,749 represented the controls. The mean length of follow-up was 9.2 months. A random effect model revealed a pooled incidence of post COVID-19 HF in 1.1% of cases (95% CI: 0.7-1.6, I2: 99.8%). Moreover, recovered COVID-19 patients showed an increased risk of incident HF (HR: 1.90, 95% CI: 1.54-3.24, p < 0.0001, I2 = 96.5%) in the same follow-up period. Meta-regression showed a direct relationship for the risk of incident HF using age (p = 0.001) and hypertension (HT) (p = 0.02) as moderators, while an inverse association was observed when the follow-up length was adopted as moderating variable (p = 0.01). COVID-19 survivors had an additional 90% risk of developing HF after COVID-19 infection in the long-term period. This risk was directly related with age and previous history of HT especially in the early post-acute phase of the infection.
| S-EPMC9792307 | biostudies-literature
Project description:ImportancePost-COVID-19 condition (PCC) is a complex heterogeneous disorder that has affected the lives of millions of people globally. Identification of potential risk factors to better understand who is at risk of developing PCC is important because it would allow for early and appropriate clinical support.ObjectiveTo evaluate the demographic characteristics and comorbidities that have been found to be associated with an increased risk of developing PCC.Data sourcesMedline and Embase databases were systematically searched from inception to December 5, 2022.Study selectionThe meta-analysis included all published studies that investigated the risk factors and/or predictors of PCC in adult (≥18 years) patients.Data extraction and synthesisOdds ratios (ORs) for each risk factor were pooled from the selected studies. For each potential risk factor, the random-effects model was used to compare the risk of developing PCC between individuals with and without the risk factor. Data analyses were performed from December 5, 2022, to February 10, 2023.Main outcomes and measuresThe risk factors for PCC included patient age; sex; body mass index, calculated as weight in kilograms divided by height in meters squared; smoking status; comorbidities, including anxiety and/or depression, asthma, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, immunosuppression, and ischemic heart disease; previous hospitalization or ICU (intensive care unit) admission with COVID-19; and previous vaccination against COVID-19.ResultsThe initial search yielded 5334 records of which 255 articles underwent full-text evaluation, which identified 41 articles and a total of 860 783 patients that were included. The findings of the meta-analysis showed that female sex (OR, 1.56; 95% CI, 1.41-1.73), age (OR, 1.21; 95% CI, 1.11-1.33), high BMI (OR, 1.15; 95% CI, 1.08-1.23), and smoking (OR, 1.10; 95% CI, 1.07-1.13) were associated with an increased risk of developing PCC. In addition, the presence of comorbidities and previous hospitalization or ICU admission were found to be associated with high risk of PCC (OR, 2.48; 95% CI, 1.97-3.13 and OR, 2.37; 95% CI, 2.18-2.56, respectively). Patients who had been vaccinated against COVID-19 with 2 doses had a significantly lower risk of developing PCC compared with patients who were not vaccinated (OR, 0.57; 95% CI, 0.43-0.76).Conclusions and relevanceThis systematic review and meta-analysis demonstrated that certain demographic characteristics (eg, age and sex), comorbidities, and severe COVID-19 were associated with an increased risk of PCC, whereas vaccination had a protective role against developing PCC sequelae. These findings may enable a better understanding of who may develop PCC and provide additional evidence for the benefits of vaccination.Trial registrationPROSPERO Identifier: CRD42022381002.
| S-EPMC10037203 | biostudies-literature
Project description:BACKGROUND: Early treatment may alter progression to overt heart failure (HF) in asymptomatic individuals with stage B HF (SBHF). However, the identification of patients with SBHF is difficult. This systematic review sought to examine the strength of association of clinical factors with incident HF, with the intention of facilitating selection for HF screening. METHODS: Electronic databases were systematically searched for studies reporting risk factors for incident HF. Effect sizes, typically HRs, of each risk variable were extracted. Pooled crude and adjusted HRs with 95% CIs were computed for each risk variable using a random-effects model weighted by inverse variance. RESULTS: Twenty-seven clinical factors were identified to be associated with risk of incident HF in 15 observational studies in unselected community populations which followed 456 850 participants over 4-29 years. The strongest independent associations for incident HF were coronary artery disease (HR=2.94; 95% CI 1.36 to 6.33), diabetes mellitus (HR=2.00; 95% CI 1.68 to 2.38), age (HR (per 10 years)=1.80; 95% CI 1.13 to 2.87) followed by hypertension (HR=1.61; 95% CI 1.33 to 1.96), smoking (HR=1.60; 95% CI 1.45 to 1.77), male gender (HR=1.52; 95% CI 1.24 to 1.87) and body mass index (HR (per 5 kg/m(2))=1.15; 95% CI 1.06 to 1.25). Atrial fibrillation (HR=1.88; 95% CI 1.60 to 2.21), left ventricular hypertrophy (HR=2.46; 95% CI 1.71 to 3.53) and valvular heart disease (HR=1.74; 95% CI 1.07 to 2.84) were also strongly associated with incident HF but were not examined in sufficient papers to provide pooled hazard estimates. CONCLUSIONS: Prediction of incident HF can be calculated from seven common clinical variables. The risk associated with these may guide strategies for the identification of high-risk people who may benefit from further evaluation and intervention.
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Project description:BackgroundThere is growing evidence that patients recovering after a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may have a variety of acute sequelae including newly diagnosed diabetes. However, the risk of diabetes in the post-acute phase is unclear. To solve this question, we aimed to determine if there was any association between status post-coronavirus disease (COVID-19) infection and a new diagnosis of diabetes.MethodsWe performed a systematic review and meta-analysis of cohort studies assessing new-onset diabetes after COVID-19. PubMed, Embase, Web of Science, and Cochrane databases were all searched from inception to June 10, 2022. Three evaluators independently extracted individual study data and assessed the risk of bias. Random-effects models estimated the pooled incidence and relative risk (RR) of diabetes compared to non-COVID-19 after COVID-19.ResultsNine studies with nearly 40 million participants were included. Overall, the incidence of diabetes after COVID-19 was 15.53 (7.91-25.64) per 1000 person-years, and the relative risk of diabetes after COVID-19 infection was elevated (RR 1.62 [1.45-1.80]). The relative risk of type 1 diabetes was RR=1.48 (1.26-1.75) and type 2 diabetes was RR=1.70 (1.32-2.19), compared to non-COVID-19 patients. At all ages, there was a statistically significant positive association between infection with COVID-19 and the risk of diabetes: <18 years: RR=1.72 (1.19-2.49), ≥18 years: RR=1.63 (1.26-2.11), and >65 years: RR=1.68 (1.22-2.30). The relative risk of diabetes in different gender groups was about 2 (males: RR=2.08 [1.27-3.40]; females: RR=1.99 [1.47-2.80]). The risk of diabetes increased 1.17-fold (1.02-1.34) after COVID-19 infection compared to patients with general upper respiratory tract infections. Patients with severe COVID-19 were at higher risk (RR=1.67 [1.25-2.23]) of diabetes after COVID-19. The risk (RR=1.95 [1.85-2.06]) of diabetes was highest in the first 3 months after COVID-19. These results remained after taking confounding factors into account.ConclusionsAfter COVID-19, patients of all ages and genders had an elevated incidence and relative risk for a new diagnosis of diabetes. Particular attention should be paid during the first 3 months of follow-up after COVID-19 for new-onset diabetes.
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Project description:IntroductionArterial Hypertension (HT) has been described as a common comorbidity and independent risk factor of short-term outcome in COVID-19 patients. However, data regarding the risk of new-onset HT during the post-acute phase of COVID-19 are scant.AimWe assess the risk of new-onset HT in COVID-19 survivors within one year from the index infection by a systematic review and meta-analysis of the available data.MethodsData were obtained searching MEDLINE and Scopus for all studies published at any time up to February 11, 2023, and reporting the long-term risk of new-onset HT in COVID-19 survivors. Risk data were pooled using the Mantel-Haenszel random effects models with Hazard ratio (HR) as the effect measure with 95% confidence interval (CI). Heterogeneity among studies was assessed using I2 statistic.ResultsOverall, 19,293,346 patients (mean age 54.6 years, 54.6% males) were included in this analysis. Of them, 758,698 survived to COVID-19 infection. Over a mean follow-up of 6.8 months, new-onset HT occurred to 12.7 [95% CI 11.4-13.5] out of 1000 patients survived to COVID-19 infection compared to 8.17 [95% CI 7.34-8.53] out of 1000 control subjects. Pooled analysis revealed that recovered COVID-19 patients presented an increased risk of new-onset HT (HR 1.70, 95% CI 1.46-1.97, p < 0.0001, I2 = 78.9%) within seven months. This risk was directly influenced by age (p = 0.001), female sex (p = 0.03) and cancer (p < 0.0001) while an indirect association was observed using the follow-up length as moderator (p < 0.0001).ConclusionsOur findings suggest that new-onset HT represents an important post-acute COVID-19 sequelae.
| S-EPMC10105348 | biostudies-literature
Project description:BackgroundPost-acute coronavirus disease 2019 (COVID-19) symptoms occurred in most of the COVID-19 survivors. However, few studies have examined the issue of whether hospitalization results in different post-acute COVID-19 symptom risks. This study aimed to compare potential COVID-19 long-term effects in hospitalized and non-hospitalized COVID-19 survivors.MethodsThis study is designed as a systematic review and meta-analysis of observational studies. A systematic search of six databases was performed for identifying articles published from inception until April 20th, 2022, which compared post-acute COVID-19 symptom risk in hospitalized and non-hospitalized COVID-19 survivors using a predesigned search strategy included terms for SARS-CoV-2 (eg, COVID, coronavirus, and 2019-nCoV), post-acute COVID-19 Syndrome (eg, post-COVID, post COVID conditions, chronic COVID symptom, long COVID, long COVID symptom, long-haul COVID, COVID sequelae, convalescence, and persistent COVID symptom), and hospitalization (hospitalized, in hospital, and home-isolated). The present meta-analysis was conducted according to The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement using R software 4.1.3 to create forest plots. Q statistics and the I 2 index were used to evaluate heterogeneity in this meta-analysis.ResultsSix observational studies conducted in Spain, Austria, Switzerland, Canada, and the USA involving 419 hospitalized and 742 non-hospitalized COVID-19 survivors were included. The number of COVID-19 survivors in included studies ranged from 63 to 431, and follow-up data were collected through visits in four studies and another two used an electronic questionnaire, visit and telephone, respectively. Significant increase in the risks of long dyspnea (OR = 3.18, 95% CI = 1.90-5.32), anxiety (OR = 3.09, 95% CI = 1.47-6.47), myalgia (OR = 2.33, 95% CI = 1.02-5.33), and hair loss (OR = 2.76, 95% CI = 1.07-7.12) risk were found in hospitalized COVID-19 survivors compared with outpatients. Conversely, persisting ageusia risk was significantly reduced in hospitalized COVID-19 survivors than in non-hospitalized patients.ConclusionThe findings suggested that special attention and patient-centered rehabilitation service based on a needs survey should be provided for hospitalized COVID-19 survivors who experienced high post-acute COVID-19 symptoms risk.
| S-EPMC9978404 | biostudies-literature
Project description:BackgroundPost-Traumatic Stress Disorder (PTSD) is considered as a prevalent outcome of the COVID-19 pandemic. This study aimed to present a global picture of the prevalence of PTSD in high-risk groups for COVID-19 (HRGs-COVID19) and determine its risk factors.MethodsCross-sectional studies published between March 11, 2020, and October 11, 2021, in English, were searched in seven databases on the prevalence of PTSD in HRGs-COVID19. After screening the retrieved records, their quality was assessed, and the required data were extracted. R-4.1.3 software and random effect model with 95 % confidence interval (CI) were used to synthesize and analyze the data.ResultsThe pooled prevalence of PTSD in HRGs-COVID19 was 30 % (95 % CI: 21-39 %). The pooled prevalence of PTSD was significantly different in terms of the variables of data collection during the lockdown, gender, and data collection season (P < 0.05). Subgroup analyses could not identify sources of heterogeneity.LimitationsThe included studies did not cover all HRGs-COVID19 such as smokers and the elderly.ConclusionConsidering the higher pooled prevalence of PTSD in HRGs-COVID19 than the general population, COVID-19 patients, and health care workers, prioritizing this subgroup for prevention and treatment of psychological outcomes is highly recommended. Predicting and implementing psychological interventions early in the pandemic is more critical when applying restrictive measures and among HRGs-COVID19 women.
| S-EPMC9512530 | biostudies-literature
Project description:Background and purposeThis review aims to characterize the pattern of post-COVID-19 cognitive impairment, allowing better prediction of impact on daily function to inform clinical management and rehabilitation.MethodsA systematic review and meta-analysis of neurocognitive sequelae following COVID-19 was conducted, following PRISMA-S guidelines. Studies were included if they reported domain-specific cognitive assessment in patients with COVID-19 at >4 weeks post-infection. Studies were deemed high-quality if they had >40 participants, utilized healthy controls, had low attrition rates and mitigated for confounders.ResultsFive of the seven primary Diagnostic and Statistical Manual of Mental Disorders (DSM-5) cognitive domains were assessed by enough high-quality studies to facilitate meta-analysis. Medium effect sizes indicating impairment in patients post-COVID-19 versus controls were seen across executive function (standardised mean difference (SMD) -0.45), learning and memory (SMD -0.55), complex attention (SMD -0.54) and language (SMD -0.54), with perceptual motor function appearing to be impacted to a greater degree (SMD -0.70). A narrative synthesis of the 56 low-quality studies also suggested no obvious pattern of impairment.ConclusionsThis review found moderate impairments across multiple domains of cognition in patients post-COVID-19, with no specific pattern. The reported literature was significantly heterogeneous, with a wide variety of cognitive tasks, small sample sizes and disparate initial disease severities limiting interpretability. The finding of consistent impairment across a range of cognitive tasks suggests broad, as opposed to domain-specific, brain dysfunction. Future studies should utilize a harmonized test battery to facilitate inter-study comparisons, whilst also accounting for the interactions between COVID-19, neurological sequelae and mental health, the interplay between which might explain cognitive impairment.
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