OBJECTIVES

While many healthcare workers (HCWs) contracted COVID-19 during the pandemic, more information is needed to fully understand the potential for adverse health effects in this population segment. The aim of the present study is to examine the association between healthcare worker status and neurologic and clinical outcomes in COVID-19 infected inpatients.

Using the nationwide database provided by the retrospective cohort Philippine CORONA study, we extracted relevant data and performed a secondary analysis primarily focusing on the presentation and outcomes of healthcare workers. Propensity score matching in a 3:1 ratio was performed to match HCWs and non-HCWs. We performed multiple logistic and Cox regression analyses to determine the relationship between HCWs and COVID-19 clinical outcomes.

We included 3,362 patients infected with COVID-19; of which, 854 were HCWs. Among the HCWs, a total of 31 (3.63%) and 45 (5.27%) had the primary outcomes of in-hospital mortality and respiratory failure, respectively. For both overall and 3:1 propensity-matched cohorts, being an HCW significantly decreased the odds of the following outcomes: severe/critical COVID-19 at nadir; in-hospital mortality; respiratory failure; intensive care unit admission; and hospital stay >14 days.

We found that being an HCW is not associated with worse neurologic and clinical outcomes among patients hospitalized for COVID-19.

BACKGROUND AND AIM: Remnant cholesterol (remnant-C) mediates the progression of major adverse cardiovascular events. It is unclear whether remnant-C, and particularly cumulative exposure to remnant-C, is associated with nonalcoholic fatty liver disease (NAFLD). This study aimed to explore whether remnant-C, not only baseline but cumulative exposure, can be used to independently evaluate the risk of NAFLD. METHODS: This study included 1 cohort totaling 21,958 subjects without NAFLD at baseline who underwent at least 2 repeated health checkups and 1 sub-cohort totaling 2,649 subjects restricted to those individuals with at least 4 examinations and no history of NAFLD until Exam 3. Cumulative remnant-C was calculated as a timeweighted model for each examination multiplied by the time between the 2 examinations divided the whole duration. Cox regression models were performed to estimate the association between baseline and cumulative exposure to remnant-C and incident NAFLD. RESULTS: After multivariable adjustment, compared with the quintile 1 of baseline remnant-C, individuals with higher quintiles demonstrated significantly higher risks for NAFLD (hazard ratio [HR] 1.48, 95%CI 1.31-1.67 for quintile 2; HR 2.07, 95%CI 1.85-2.33 for quintile 3; HR 2.55, 95%CI 2.27-2.88 for quintile 4). Similarly, high cumulative remnant-C quintiles were significantly associated with higher risks for NAFLD (HR 3.43, 95%CI 1.95-6.05 for quintile 2; HR 4.25, 95%CI 2.44-7.40 for quintile 3; HR 6.29, 95%CI 3.59-10.99 for quintile 4), compared with the quintile 1. CONCLUSION Elevated levels of baseline and cumulative remnant-C were independently associated with incident NAFLD. Monitoring immediate levels and longitudinal trends of remnant-C may need to be emphasized in adults as part of NAFLD prevention strategy.
Adult ; Humans ; Cohort Studies ; Non-alcoholic Fatty Liver Disease/etiology* ; Cholesterol ; Proportional Hazards Models ; Risk Factors

Objectives: While many healthcare workers (HCWs) contracted COVID-19 during the pandemic, more information is needed to fully understand the potential for adverse health effects in this population segment. The aim of the present study is to examine the association between healthcare worker status and neurologic and clinical outcomes in COVID-19 infected inpatients. Methods: Using the nationwide database provided by the retrospective cohort Philippine CORONA study, we extracted relevant data and performed a secondary analysis primarily focusing on the presentation and outcomes of healthcare workers. Propensity score matching in a 3:1 ratio was performed to match HCWs and non-HCWs. We performed multiple logistic and Cox regression analyses to determine the relationship between HCWs and COVID-19 clinical outcomes. Results: We included 3,362 patients infected with COVID-19; of which, 854 were HCWs. Among the HCWs, a total of 31 (3.63%) and 45 (5.27%) had the primary outcomes of in-hospital mortality and respiratory failure, respectively. For both overall and 3:1 propensity-matched cohorts, being an HCW significantly decreased the odds of the following outcomes: severe/critical COVID-19 at nadir; in-hospital mortality; respiratory failure; intensive care unit admission; and hospital stay >14 days. Conclusion We found that being an HCW is not associated with worse neurologic and clinical outcomes among patients hospitalized for COVID-19.
Health Personnel ; COVID-19 ; SARS-CoV-2 ; Cohort Studies

BACKGROUND AND OBJECTIVE

COVID-19 is a novel disease primarily affecting the respiratory system. Of those infected, approximately 20% require management in a hospital-setting which may lead to deconditioning. Measures implemented to control spread of the virus also restricted mobility both in the hospital and community setting. The goal of this study was to describe the patient characteristics (age, sex, comorbidities), hospitalization (length of hospital stay, ICU stay, referral to Rehabilitation Medicine), and long-term functional outcome of patients who have clinically recovered from moderate to critical COVID-19 in terms of participation in activities of daily living.

This was a descriptive prospective cohort study conducted at a tertiary government hospital with participant recruitment from September 2020 to February 2021 consisting of clinically recovered adult patients managed as COVID-19 Confirmed via rRT-PCR with moderate, severe, or critical risk status. Descriptive statistics were obtained and multiple regression analysis was done to determine associations between patient demographics and their Barthel Index Scores on follow-up at discharge, one month post-discharge, and six months post-discharge.

A total of 63 patients were recruited to our study with an average age of 52.4 years. More recovered patients had fulfilled the criteria of moderate illness (46%), with the most common comorbidity being chronic lung disease (42.1%) and diabetes (42.1%). Almost all had total independence pre-morbidly with better baseline functional scores for the COVID-19 severe population. Majority of the patients (63.5%) were not referred for Rehabilitation services. Across all patients, Barthel Index Score at discharge indicated a significant decline from slight dependence to moderate dependence in performing activities of daily living with the pre-morbid status significantly predicting scores at discharge (β = 0.621, p = 0.001) on multiple regression analysis. Patient demographics, hospitalization and ICU stay and outcome, and referral to Rehabilitation Medicine were not found to be significant factors. In the course of follow up, a high dropout rate was observed across the population and by the end of the study, 57.1% of the participants were alive while among those lost to follow up, 20.6% had expired and the remaining 22.2% had an unknown status.

COVID-19 significantly affects the functional outcome of patients in terms of activities of daily living as measured by the Barthel Index. Preliminary data gathered from our study and the high dropout rate supports the need for better follow-up and selecting a tool that is better able to describe the non-demographic factors affecting functionality and participation in activities of daily living.

Cohort studies is an epidemiologic study that follows a group of individuals who share a common characteristic at the start of the study to observe the emergence of outcomes. Cohort studies are classified based on the population characteristics from where they were drawn, the way the data collection occurred or if its open or closed. This allows the computation of the absolute risk or the incidence of an outcome. There are several advantages in conducting a cohort study, such as clarity of temporal relationship of the exposure and outcome, permits the computation of incidence, permits multiple effects of a single exposure, and avoids selection bias on admission. While there are advantages, there are also disadvantages in doing this study, such as it requires long follow-up, need of large sample size, maybe costly, and may make it difficult to argue causation due to the presence of confounding. The statistical test that can be used to analyze the results will depend on the type of variable used. Statistical test such as T-test, Chi square test, and Regression can be used. Writing the final report follows the STROBE guidelines.

BACKGROUND: Vaccination has been shown effective in controlling the global coronavirus disease 2019 (COVID-19) pandemic and reducing severe cases. This study was to assess the flare and change in disease activity after COVID-19 vaccination in patients with stable rheumatoid arthritis (RA). METHODS: A prospective cohort of RA patients in remission or with low disease activity was divided into a vaccination group and a non-vaccination group based on their COVID-19 vaccination status. Each of them was examined every 3 to 6 months. In the vaccination group, disease activity was compared before and after vaccination. The rates of flare defined as disease activity scores based on 28-joint count (DAS28) >3.2 with ΔDAS28 ≥0.6 were compared between vaccination and non-vaccination groups. RESULTS: A total of 202 eligible RA patients were enrolled. Of these, 98 patients received no vaccine shot (non-vaccination group), and 104 patients received two doses of vaccine (vaccination group). The median time interval from pre-vaccination visit to the first immunization and from the second dose of vaccine to post-vaccination visit was 67 days and 83 days, respectively. The disease activity scores at pre-vaccination and post-vaccination visits in the vaccination group patients were similar. At enrollment, gender, RA disease course, seropositivity, and disease activity were comparable across the two groups. Flare was observed in five (4.8%) of the vaccination group patients and nine (9.2%) of the non-vaccination group patients at post-vaccination assessment ( P  = 0.221). In terms of safety, 29 (27.9%) patients experienced adverse events (AEs) after vaccination. No serious AEs occurred. CONCLUSIONS COVID-19 vaccinations had no significant effect on disease activity or risk of flare in RA patients in remission or with low disease activity. Patients with stable RA should be encouraged to receive the COVID-19 vaccination.
Humans ; Arthritis, Rheumatoid ; Cohort Studies ; COVID-19/prevention & control* ; COVID-19 Vaccines/adverse effects* ; East Asian People ; Prospective Studies ; Vaccination/adverse effects*

BACKGROUND: The hemoglobin glycation index (HGI) was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin (HbA1c) bias. Here, we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events (MACEs) by performing a large multicenter cohort study in China. METHODS: A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study (the REACTION study) were divided into five subgroups (Q1-Q5) with the HGI quantiles (≤5th, >5th and ≤33.3th, >33.3th and ≤66.7th, >66.7th and ≤95th, and >95th percentile). A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk. Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups. RESULTS: The total 5-year MACE rate in the nationwide cohort was 6.87% (673/9791). Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors ( χ2 = 29.5, P <0.001). After adjustment for potential confounders, subjects with HGIs ≤-0.75 or >0.82 showed odds ratios (ORs) for MACE of 1.471 (95% confidence interval [CI], 1.027-2.069) and 2.222 (95% CI, 1.641-3.026) compared to subjects with HGIs of >-0.75 and ≤-0.20. In the subgroup with non-coronary heart disease, the risk of MACE was significantly higher in subjects with HGIs ≤-0.75 (OR, 1.540 [1.039-2.234]; P = 0.027) and >0.82 (OR, 2.022 [1.392-2.890]; P <0.001) compared to those with HGIs of ≤-0.75 or >0.82 after adjustment for potential confounders. CONCLUSIONS We found a U-shaped correlation between the HGI values and the risk of 5-year MACE. Both low and high HGIs were associated with an increased risk of MACE. Therefore, the HGI may predict the 5-year MACE risk.
Humans ; Cohort Studies ; Longitudinal Studies ; Diabetes Mellitus, Type 2/diagnosis* ; Maillard Reaction ; Glycated Hemoglobin ; Cardiovascular Diseases

BACKGROUND: The HELIOS stent is a sirolimus-eluting stent with a biodegradable polymer and titanium oxide film as the tie-layer. The study aimed to evaluate the safety and efficacy of HELIOS stent in a real-world setting. METHODS: The HELIOS registry is a prospective, multicenter, cohort study conducted at 38 centers across China between November 2018 and December 2019. A total of 3060 consecutive patients were enrolled after application of minimal inclusion and exclusion criteria. The primary endpoint was target lesion failure (TLF), defined as a composite of cardiac death, non-fatal target vessel myocardial infarction (MI), and clinically indicated target lesion revascularization (TLR) at 1-year follow-up. Kaplan-Meier methods were used to estimate the cumulative incidence of clinical events and construct survival curves. RESULTS: A total of 2998 (98.0%) patients completed the 1-year follow-up. The 1-year incidence of TLF was 3.10% (94/2998, 95% closed interval: 2.54-3.78%). The rates of cardiac death, non-fatal target vessel MI and clinically indicated TLR were 2.33% (70/2998), 0.20% (6/2998), and 0.70% (21/2998), respectively. The rate of stent thrombosis was 0.33% (10/2998). Age ≥60 years, diabetes mellitus, family history of coronary artery disease, acute myocardial infarction at admission, and device success were independent predictors of TLF at 1 year. CONCLUSION: The 1-year incidence rates of TLF and stent thrombosis were 3.10% and 0.33%, respectively, in patients treated with HELIOS stents. Our results provide clinical evidence for interventional cardiologists and policymakers to evaluate HELIOS stent. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov, NCT03916432.
Humans ; Middle Aged ; Sirolimus/therapeutic use* ; Drug-Eluting Stents/adverse effects* ; Prospective Studies ; Cohort Studies ; Treatment Outcome ; Risk Factors ; Time Factors ; Percutaneous Coronary Intervention/adverse effects* ; Cardiovascular Agents/therapeutic use* ; Coronary Artery Disease/therapy* ; Myocardial Infarction/etiology* ; Thrombosis/complications* ; Polymers ; Registries

Humans ; Aged ; Processing Speed ; Cross-Sectional Studies ; Cognition ; Hearing Loss/psychology* ; Cohort Studies ; Cognitive Dysfunction

Humans ; Blood Pressure/physiology* ; Cohort Studies ; Patient Discharge ; Ischemic Stroke ; Stroke ; Brain Ischemia ; Diabetes Mellitus ; Hypertension