Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis

COVID-19 Predisposition Inherently Increases Cardiovascular Risk Before SARS-CoV-2 Infection

As COVID-19 transitions to an endemic stage, its long-term impacts on health, particularly cardiovascular disease (CVD), remain significant. While prior studies have focused on cardiovascular complications following SARS-CoV-2 infection, the question of inherent cardiovascular risk associated with genetic predisposition to COVID-19 has been less explored. This study investigates whether individuals genetically predisposed to COVID-19 may also be at higher risk for CVD, independent of actual infection. Using Mendelian randomization (MR) analysis with data from pre-pandemic, SARS-CoV-2-naive populations, this study assessed the impact of genetic susceptibility to COVID-19 on various CVD outcomes across 18 distinct cohorts. This approach allowed us to simulate COVID-19 predisposition without infection, providing insights into cardiovascular risks associated solely with genetic susceptibility. These findings reveal a significant association between genetic predisposition to COVID-19 and elevated risks for several CVD outcomes, particularly hypertensive heart disease. Notably, individuals with a genetic profile linked to severe COVID-19 (hospitalization-prone) showed a marked increase in risk for hypertensive heart disease. These findings suggest a shared genetic architecture that predisposes individuals to both COVID-19 and cardiovascular risks, irrespective of viral exposure. COVID-19 susceptibility, thus, may act as a "natural stress test," revealing latent cardiovascular vulnerabilities. This connection implies that individuals predisposed to severe COVID-19 may have inherently higher cardiovascular risks, even without SARS-CoV-2 infection. This study highlights the value of COVID-19 susceptibility as a novel marker for assessing CVD risk, enabling timely preventive strategies and mitigating future CVD burden in the post-COVID-19 era. Moreover, this study highlights disease predisposition as a "black box" until clinical onset. While COVID-19 demands an external viral trigger for acute onset, cardiovascular disease unfolds much more slowly, requiring prolonged exposure to detrimental lifestyle and genetic factors. Together, their intersection illustrates how acute environmental triggers and chronic disease processes can converge to influence overall health outcomes.

SARS-CoV-2 booster vaccination does not worsen glycemia in people with type 1 diabetes using insulin pumps: an observational study

BACKGROUND

Despite an increased risk for adverse outcomes from SARS-CoV-2 infection among individuals with type 1 diabetes (T1D), vaccine hesitancy persists due to safety concerns including dysglycemia. The impact of booster vaccination on individuals using automated insulin delivery (AID) systems remains unclear.

METHODS

We used continuous glucose monitoring (CGM) data from 53 individuals with T1D using insulin pump therapy who received their third and/or fourth COVID-19 vaccination. CGM data from the 14 days before and 3 and 7 days after each vaccination were compared. The primary outcome was glucose time in range (TIR) (70-180 mg/dL) 3 and 7 days post-vaccination compared with the 14 days prior. Secondary outcomes included other CGM metrics such as time below range (< 70 mg/dL), time above range (> 180 mg/dL), mean glucose, co-efficient of variation and average total daily insulin.

RESULTS

The cohort comprised 53 adults (64% women, 64% AID), totaling 74 vaccination periods (84% Pfizer-BioNTech boosters), mean ± SD age 40.0 ± 15.9 years, duration of diabetes 26.0 ± 15.4 years. There was no significant difference between pre-vaccination TIR (61.0%±18.5) versus 3 (60.5%±22.8) and 7 days post-vaccination (60.2%±21.8; p = 0.79). Level 1 hypoglycemia, time in range 54-69 mg/dL, was lower 3 (1.1%±1.7) and 7 days post-vaccination (1.1%±1.6), compared with 14 days pre-vaccination (1.4%±1.4; p = 0.021).

CONCLUSION

The study provides evidence that SARS-CoV-2 booster vaccination does not acutely worsen glycemia in people with T1D receiving insulin pump therapy.

Impact of Early Administration of Albumin on Mortality Among Severe COVID-19 Patients, China

Purpose

Hypoalbuminemia is commonly observed in patients with severe Coronavirus Disease 2019 (COVID-19) and is independently associated with adverse outcomes. However, the efficacy of albumin administration on the clinical prognosis of these patients remains uncertain.

Patients and Methods

This multicenter retrospective study enrolled 458 patients with severe COVID-19 in four medical centers from December 1, 2022, to June 1, 2024. Clinical features and laboratory variables were collected through electronic medical records. The cohorts were divided into two groups: albumin administration and non-albumin administration. Propensity score matching (PSM) was used for minimizing confounding effect. Statistical analyses were conducted to assess the relationship between early albumin administration and 28-day mortality.

Results

Four hundred and fifty-eight severe COVID-19 cases were included in the study, of which 167 (36.5%) received early albumin administration, while 291 (63.5%) did not. Among these patients, 140 experienced in-hospital mortality and 318 survived. Compared to survivors, non-survivors exhibited significantly lower serum albumin levels (29.1g/L vs.33.8g/L, p < 0.05). In comparison to patients with admission albumin levels ≥30 g/L, those with albumin levels <30 g/L had a significantly higher in-hospital mortality (48.4% vs 21.1%, p < 0.001). Prior to PSM, the albumin administration group demonstrated significantly higher 28-day and in-hospital cumulative survival rates compared to the non-albumin group (both p < 0.001). However, no significant differences were observed between the two groups following PSM (p = 0.21 and p = 0.41, respectively).

Conclusion

Hypoalbuminemia was correlated with adverse outcomes in severe COVID-19 patients. However, early albumin administration did not reduce 28-day mortality and in-hospital mortality in these patients, and more relative RCTs were required for validation.

Independent and combined effects of long-term air pollution exposure and genetic predisposition on COVID-19 severity: A population-based cohort study

The relationships between air pollution, genetic susceptibility, and COVID-19-related outcomes, as well as the potential interplays between air pollution and genetic susceptibility, remain largely unexplored. The Cox proportional hazards model was used to assess associations between long-term exposure to air pollutants and the risk of COVID-19 outcomes (infection, hospitalization, and death) in a COVID-19-naive cohort (n = 458,396). Additionally, associations between air pollutants and the risk of COVID-19 severity (hospitalization and death) were evaluated in a COVID-19 infection cohort (n = 110,216). Furthermore, this study investigated the role of host genetic susceptibility in the relationships between exposure to air pollutants and the development of COVID-19-related outcomes. Long-term exposure to air pollutants was significantly associated with an increased risk of COVID-19-related outcomes in the COVID-19 naive cohort. Similarly, in COVID-19 infection cohort, hazard ratios (HRs) for COVID-19 hospital admission were 1.23 (1.19, 1.27) for PM2.5 and 1.22 (1.17, 1.26) for PM10, whereas HRs for COVID-19 death were 1.28 (1.18, 1.39) for PM2.5 and 1.25 (1.16, 1.36) for PM10. Notably, significant interactions were found between PM2.5/PM10 and genetic susceptibility in COVID-19 death. In COVID-19 infection cohort, participants with both high genetic risk and high air pollutants exposure had 1.86- to 1.97-fold and 1.91- to 2.14-fold higher risk of COVID-19 hospitalization and death compared to those with both low genetic risk and low air pollutants exposure. Exposure to air pollution is significantly associated with an increased burden of severe COVID-19, and air pollution-gene interactions may play a crucial role in the development of COVID-19-related outcomes.

Differences in COVID-19-Related Hospitalization, Treatment, Complications, and Death by Race and Ethnicity and Area-Level Measures Among Individuals with Cancer in the ASCO Registry

Individuals with cancer exposed to SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), are more susceptible to COVID-19-related complications [...].

Virtual Health Care Encounters for Lung Cancer Screening in a Safety-Net Population: Observations From the COVID-19 Pandemic

PURPOSE

The COVID-19 pandemic disrupted normal mechanisms of health care delivery and facilitated the rapid and widespread implementation of telehealth technology. As a result, the effectiveness of virtual health care visits in diverse populations represents an important consideration. We used lung cancer screening as a prototype to determine whether subsequent adherence differs between virtual and in-person encounters in an urban, safety-net health care system.

METHODS

We conducted a retrospective analysis of initial low-dose computed tomography (LDCT) ordered for lung cancer screening from March 2020 through February 2023 within Parkland Health, the integrated safety-net provider for Dallas County, TX. We collected data on patient characteristics, visit type, and LDCT completion from the electronic medical record. Associations among these variables were assessed using the chi-square test. We also performed interaction analyses according to visit type.

RESULTS

Initial LDCT orders were placed for a total of 1,887 patients, of whom 43% were female, 45% were Black, and 17% were Hispanic. Among these orders, 343 (18%) were placed during virtual health care visits. From March to August 2020, 79 of 163 (48%) LDCT orders were placed during virtual visits; after that time, 264 of 1,724 (15%) LDCT orders were placed during virtual visits. No patient characteristics were significantly associated with visit type (in-person v virtual) or LDCT completion. Rates of LDCT completion were 95% after in-person visits and 97% after virtual visits (P = .13).

CONCLUSION

In a safety-net lung cancer screening population, patients were as likely to complete postvisit initial LDCT when ordered in a virtual encounter as in an in-person encounter.

Population-level impact of COVID-19 on thyroid function tests: Results from a repeated cross-sectional study

PURPOSE

Reports have highlighted thyroid abnormalities, including subacute thyroiditis and thyrotoxicosis, in COVID-19 patients, with a potential link between thyroid dysfunction and disease severity. However, population-level studies on COVID-19's impact on thyroid hormone levels are limited. We aimed to assess the impact of the COVID-19 pandemic on thyroid function tests at the population level.

METHODS

We conducted a repeated cross-sectional study on consecutive patients who underwent thyroid function tests between March 1 and April 15, 2020, during the first wave of COVID-19 in northeastern France, and compared the results with those from the same period in 2018 and 2019.

RESULTS

The study analyzed 3968 tests, including 1534 in 2018, 1547 in 2019, and 887 in 2020. Patients tested in the first wave of COVID-19 had significantly lower TSH and FT3 levels and higher FT4 levels than those in reference periods. On ROC analysis, the optimal thresholds for FT3 and FT4 were ≤ 4.5 pmol/L and > 12 pmol/L, respectively. On multivariable analysis, FT3 ≤ 4.5 pmol/L and FT4 > 12 pmol/L were independently associated with the first wave of COVID-19. The proportion of subjects with concurrent changes in FT3 and FT4 levels was significantly higher in 2020 than in the reference periods, with an odds ratio of 3.62 (95 % CI, 2.77-4.73). A phenome-wide association study of 128 clinical and biological predictors identified an independent association between a low FT3/FT4 ratio and COVID-19, hypertension, or amiodarone therapy, suggesting the contribution of euthyroid sick syndrome to this presentation. This association remained significant after adjustment for potential confounders such as thyroid disease, steroids, and iodinated contrast injection.

CONCLUSION

These findings suggest that COVID-19 is associated with significant population-level variation in thyroid function tests, which may have implications for managing COVID-19 patients.

Caring Challenges of Family Caregivers of Cancer Patients in the COVID-19 Pandemic: A Qualitative Study

Background

Caregivers of cancer patients experience significant challenges that affect their physical, psychological, and social well-being. This qualitative study aims to explore the specific challenges faced by caregivers of cancer patients during the COVID-19 pandemic.

Materials and Methods

The present study is a conventional qualitative study based on the Graneheim method for content analysis. Data were collected through semi-structured individual interviews with 11 family caregivers of cancer patients in Isfahan, Iran.

Results

The challenges faced by family caregivers of cancer patients are classified into three main categories: 1) caregiver burnout which includes, "non-cooperation of the patient with the caregiver," "funding the costs of care and treatment," "lack of support for the family caregiver by the family and society," and "lack of knowledge and proper care skills." 2) Health threats to the family caregiver which include, "imbalance of self-care versus patient care," "disruption of a healthy lifestyle," and "occurrence of psychophysical symptoms caused by stress in caregivers." 3) Work-family-care conflicts which include: "conflict between patient care and family" and "conflict between patient care and work."

Conclusions

This study provides additional insights into the personal and societal challenges faced by family caregivers of cancer patients during the COVID-19 pandemic. Based on our findings, health policymakers can take concrete steps to address these challenges and enhance the support for family caregivers, who play a crucial role in public health.

Identifying COVID-19 Confirmed Patients at Elevated Risk for Mortality and Need of Mechanical Ventilation Using a Novel Criteria for Hyperinflammatory Syndrome: A Retrospective Cohort, Single-center, Validation Study

Background and Objectives

A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation.

Methods

This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation.

Results

The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cut-off cHIS scores.

Conclusion

Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively.

Association of pre-existing comorbidities and complications with inpatient COVID-19 mortality - a single-center retrospective study

BACKGROUND

This study evaluates the impact of pre-existing comorbidities and in-hospital complications on COVID-19 mortality rates.

METHODS

A retrospective single-center study was conducted using electronic health records from 640 COVID-19 patients hospitalized at the University Clinical Centre in Gdansk, Poland, between November 2020 and May 2021. Patients were categorized based on disease severity into stable or ICU wards based on the disease severity. Data on demographics, comorbidities, complications, and treatments were collected and verified. Statistical analyses, including odds ratios (ORs) and confidence intervals (CIs), assessed mortality risk factors supported by python-based processing.

RESULTS

The mean patient age was 67 years (SD ± 15.89), comprising 39% females (n = 250) and 60.94% males (n = 390). Mortality risk was highest in patients aged 65 years and older (OR 3.00; 95% CI, 1.97-4.60). Among the pre-existing comorbidities, chronic kidney disease (OR 3.28; 95% CI, 2.12-5.09), atrial fibrillation (OR 2.43; CI 95%, 1.63-3.61), and heart failure (OR 2.89; 95% CI, 1.91-4.37) were significant predictors of mortality. In hospital complications, such as severe respiratory failure requiring ICU ventilation (OR 23.59; 95% CI, 2.81-197.87), myocardial infarction (OR 25.43; 95% CI, 3.16-204.97), acute kidney injury requiring renal replacement therapy (OR 19.15; 95% CI, 6.49-56.51), sepsis (OR 7.22, 95% CI, 3.77-13.84), stroke, further increased mortality risk.

CONCLUSIONS

COVID-19 patients with pre-existing renal and cardiovascular conditions face a higher risk of fatal outcomes. Early diagnosis and intervention targeting these complications are vital to in reducing mortality. Further research is needed to reconcile disparities with existing literature.

Comparative metabolomic analysis reveals shared and unique features of COVID-19 cytokine storm and surgical sepsis

The clinical manifestations of the cytokine storm (CS) associated with COVID-19 resemble the acute phase of sepsis. Metabolomics may contribute to understanding the specific pathobiology of these two syndromes. The aim of this study was to compare serum metabolomic profiles in CS associated with COVID-19 vs. septic surgery patients. In a retrospective cross-sectional study, serum samples from patients with CS associated with COVID-19, with and without comorbidity, as well as serum samples from patients with surgical sepsis were investigated. Targeted metabolomic analysis was performed on all samples using LC-MS/MS. Analysis revealed that similar alterations in the serum metabolome of patients with COVID-19 and surgical septic patients were associated with amino acid metabolism, nitrogen metabolism, inflammatory status, methionine cycle and glycolysis. The most significant difference was found for serum levels of metabolites of kynurenine synthesis, tricarboxylic acid cycle, gamma-aminobutyric acid and niacinamide. The metabolic pathway of cysteine and methionine metabolism was significantly disturbed in COVID-19 and surgical septic patients. For the first time, the similarities and differences between the serum metabolomic profiles of patients with CS associated with COVID-19 and patients with surgical sepsis were investigated for patients from the Northwest of the Russian Federation.

Vaccination in Chronic Obstructive Pulmonary Disease

Chronic obstructive pulmonary disease (COPD) is often exacerbated by various viruses and bacteria, leading to acute episodes of worsening respiratory symptoms, which contribute significantly to the morbidity and mortality associated with COPD. Consequently, vaccination against these pathogens is recommended by numerous guidelines to safeguard COPD patients from adverse health outcomes. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommendation advocates for vaccination against influenza, Streptococcus pneumoniae, respiratory syncytial virus (RSV), severe acute respiratory syndrome coronavirus (SARS-CoV2), pertussis, and varicella zoster. This review article will examine the current vaccination strategies recommended for adult COPD patients and will discuss the clinical benefits associated with these vaccines.

High-dose vitamin D supplementation in patients with severe acute respiratory syndrome coronavirus 2 pneumonia hospitalized in a polyvalent intensive care unit: A retrospective cohort study

BACKGROUND AND AIMS

The health benefits of vitamin D are far beyond bone mineral metabolism. Vitamin D has immunomodulator and anti-inflammatory properties and its role in critically ill patients is controversial. The purpose of the study is to understand whether high doses of vitamin D supplementation are beneficial in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia hospitalized in a polyvalent intensive care unit (ICU) and correlate to all-cause mortality, need for invasive mechanical ventilation, and duration of hospitalization.

METHODS

A retrospective study was conducted at a single polyvalent ICU, comparing patients supplemented with vitamin D with nonsupplemented patients. Eligible participants were adults with SARS-CoV-2 pneumonia admitted in this unit between April 14, 2020, and October 31, 2020. Demographic and clinical characteristics, comorbidities, and disease-related outcomes were extracted from electronic medical records.

RESULTS

No statistically significant differences were observed between the groups in terms of need for invasive mechanical ventilation or duration of hospitalization. Supplementation with vitamin D was associated with lower all-cause ICU, intrahospital, and total mortality.

CONCLUSION

High-dose vitamin D supplementation was associated with a reduction of mortality in patients with severe SARS-CoV-2 pneumonia. Randomized clinical trials are needed to confirm these findings and to assess the optimal dosage of supplementation.

A Meta-Analysis of the Impact of Using Angiotensin-Converting Enzyme Inhibitors (ACEIs) or Angiotensin II Receptor Blockers (ARBs) on Mortality, Severity, and Healthcare Resource Utilization in Patients with COVID-19

OBJECTIVE

The primary objective of this study is to explore the potential link between the utilization of angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) and its impact on mortality, disease severity, and healthcare resource utilization in individuals diagnosed with COVID-19. We aim to establish a solid theoretical foundation for safe and effective clinical medications.

METHODS

We conducted a comprehensive search of various databases, including CNKI, PubMed, Science, Cell, Springer, Nature, Web of Science, and Embase. We also traced the literature of the included studies to ensure a thorough analysis of the available evidence. After applying a set of inclusion and exclusion criteria, we ultimately included a total of 41 articles in our analysis. To determine the overall effect size for dichotomous variables, we used the Mantel-Haenszel odds ratio in random effect models. For continuous variables, we calculated the inverse variance SMD using random effect models. To assess the outcomes and heterogeneity, we considered p-values (p < 0.05) and I2 values for all outcomes. We performed multivariate and univariate meta-regression analyses using the maximum likelihood approach with the CMA 3.0 software.

RESULTS

The results of our analysis indicated that the use of ACEIs or ARBs did not significantly influence mortality (OR = 1.10, 95% CI 0.83-1.46, p = 0.43, I2 = 84%), severity (OR = 0.99, 95% CI 0.68-1.45, p = 0.98, I2 = 84%), or healthcare resource utilization (SMD = 0.03, 95% CI 0.06-0.12, p = 0.54, I2 = 37%) in patients with COVID-19 compared to those not taking ACEIs or ARBs. The multivariate meta-regression analysis model explained 63%, 31%, and 100% of the sources of heterogeneity for the three outcome indicators.

CONCLUSIONS

The use of ACEIs and ARBs is not significantly correlated with mortality, severity, or healthcare resource utilization in patients with COVID-19, indicating safe clinical use of the medications.

Polypharmacy Prevalence Among Older Adults Based on the Survey of Health, Ageing and Retirement in Europe: An Update

Polypharmacy, a common condition among the older population, is associated with adverse outcomes, including higher mortality, falls and hospitalization rates, adverse drug reactions, drug-drug interactions, medication nonadherence, and consequently increased healthcare costs. Background/Objectives: This study aims to explore the prevalence of polypharmacy and its associated factors among older adults across 27 European countries and Israel. Methods: In this cross-sectional analysis, we used data from participants aged 65 years or older from Wave 9 of the Survey of Health, Aging, and Retirement in Europe (SHARE) database. The variables studied were classified into the following categories: sociodemographic, behavioral factors, physical functioning, physical health, mental health, and living conditions. Results: Our results showed an overall prevalence of polypharmacy of 36.2%, ranging from 25.0 to 51.8%. Slovenia, Greece, and Switzerland were the countries with the lowest prevalence, whereas Portugal, Israel, and Poland were the countries where the prevalence of polypharmacy was the highest. Polypharmacy was shown to be associated with variables from all categories. Conclusions: Polypharmacy is a highly prevalent condition in the older population. Identification of variables associated with polypharmacy, such as those identified in this study, is important to identify and monitor older groups, which are most vulnerable to polypharmacy. Interventions designed to reduce polypharmacy should consider these associations.

A Critical Review on the Long-Term COVID-19 Impacts on Patients With Diabetes

BACKGROUND

The world is currently grappling with the potentially life-threatening coronavirus disease 2019 (COVID-19), marking it as the most severe health crisis in the modern era. COVID-19 has led to a pandemic, with the World Health Organization (WHO) predicting that individuals with diabetes are at a higher risk of contracting the virus compared to the general population. This review aims to provide a practical summary of the long-term impacts of COVID-19 on patients with diabetes. Specifically, it focuses on the effects of SARS-CoV-2 on different types of diabetic patients, the associated mortality rate, the underlying mechanisms, related complications, and the role of vitamin D and zinc in therapeutic and preventive approaches.

METHODS

Relevant literature was identified through searches on PubMed, Web of Science, and Science Direct in English, up to April 2023.

RESULTS

COVID-19 can lead to distressing symptoms and pose a significant challenge for individuals living with diabetes. Older individuals and those with pre-existing conditions such as diabetes, coronary illness, and asthma are more susceptible to COVID-19 infection. Managing COVID-19 in individuals with diabetes presents challenges, as it not only complicates the fight against the infection but also potentially prolongs the recovery time. Moreover, the virus may thrive in individuals with high blood glucose levels. Various therapeutic approaches, including antidiabetic drugs, are available to help prevent COVID-19 in diabetic patients.

CONCLUSIONS

Diabetes increases the morbidity and mortality risk for patients with COVID-19. Efforts are globally underway to explore therapeutic interventions aimed at reducing the impact of diabetes on COVID-19.

Assessing the impact of comorbidities on disease severity in COVID-19 patients requires consideration of age

Older age and comorbidities are risk factors for increased coronavirus disease 2019 (COVID-19) severity, but few studies have explored their interaction. This study aimed to assess the actual impacts of these factors on disease severity in COVID-19. The enrolled COVID-19 patients were divided into 4 age subgroups (≤44, 45-59, 60-74, and ≥75 years). Logistic regression analysis was conducted to determine the association between comorbidities and disease severity; Kappa consistency test was implemented to verify the study results. Of the 1663 patients with COVID-19, 287 had severe disease. The disease severity was correlated with the age-adjusted Charlson Comorbidity Index in each age group. In the 4 subgroups, the odds ratio of age-adjusted Charlson Comorbidity Index declined with age. After removing age interference, diabetes and cardio-cerebrovascular diseases were the main risk factors for severe disease in patients aged <75 years, whereas only chronic lung disease was associated with disease severity in patients aged ≥75 years. When comorbidities alone were used to predict disease severity, only the predictions were consistent with real outcomes in patients aged ≥75 years, compared with the predictions of high-risk comorbidities mentioned in World Health Organization and Chinese guidelines (Kappa 0.106, P < .05). Although older age and comorbidities were risk factors for severe COVID-19, their effects on disease severity varied across age groups. Additionally, comorbidities had a greater impact on COVID-19 severity in younger patients.

Risk factors for disease progression and clinical outcomes in patients with COVID-19 in Taiwan: a nationwide population-based cohort study

BACKGROUND

Since 2021, COVID-19 has had a substantial impact on global health and continues to contribute to serious health outcomes. In Taiwan, most research has focused on hospitalized patients or mortality cases, leaving important gaps in understanding the broader effects of the disease and identifying individuals at high risk. This study aims to investigate the risk factors for disease progression through a nationwide population-based cohort study on COVID-19 in Taiwan.

METHODS

This study included 15,056 patients diagnosed with COVID-19 between January 1, 2021, and December 31, 2021, using the Taiwan National Health Insurance Research Database. Baseline and clinical characteristics were collected to verify the association with progression to severity outcomes, including hospital admission, intensive care unit (ICU) admission, invasive ventilatory support, fatal outcome, and the composite outcome of these four events. Patients were observed for 30 days for disease progression. Multivariable logistic regression models were used to calculate odd ratios and 95% confidence intervals (CIs) for each outcome, adjusting for age, sex, region, risk factors, and vaccination status.

RESULTS

Overall, 8,169 patients diagnosed during outpatient visits and 6,887 patients diagnosed during hospitalization were analyzed. Adjusting for age, sex, region, risk factors, and vaccination status, elderly patients had higher risks of hospital admission, ICU admission, invasive ventilatory support, fatal outcome, and composite outcome. Specifically, the risk of the fatal outcome was significantly higher for patients aged 75-84 (odds ratio: 6.11, 95% CI: 4.75-7.87) and those aged 85 years and older (12.70, 9.48-17.02). Patients with cardiovascular disease exhibited higher risks of hospital admission (1.60, 1.31-1.96), ICU admission (1.52, 1.31-1.78), invasive ventilatory support (1.57, 1.26-1.96), and fatal outcomes (1.26, 1.03-1.54) and the composite outcome (1.66, 1.20-1.54). Diabetes mellitus was identified as a significant risk factor for all clinical outcomes (hospital admission: 1.89, 1.53-2.35; ICU admission: 1.53, 1.30-1.79; invasive ventilatory support: 1.27, 1.01-1.60; the composite outcome: 1.45, 1.28-1.66), except for the fatal outcome.

CONCLUSIONS

This study indicated the impact of sex, age, and risk factors on the clinical outcomes of COVID-19 patients in Taiwan. Elderly patients and those with cardiovascular disease or diabetes mellitus had higher risks for severe outcomes, including hospitalization, ICU admission, invasive ventilatory support, and mortality. These findings can provide evidence for a better understanding of risk factors for disease progression and inform targeted intervention.

Baricitinib treatment for hospitalized patients with severe COVID-19 on invasive mechanical ventilation: a propensity score-matched and retrospective analysis

Introduction

Baricitinib is a selective inhibitor of Janus kinase (JAK)1 and JAK2, which is associated with clinical improvement in non-severe COVID-19 patients. But in severe COVID-19 patients, the effectiveness of baricitinib is still controversial.

Methods

A propensity score-matched and retrospective study was conducted to evaluate the effectiveness of baricitinib in severe COVID-19 patients requiring invasive mechanical ventilation (IMV).

Results

A total number of 48 patients treated with baricitinib were included, and 48 patients were assigned to control group by propensity score matching. The mean ages were high in both group (baricitinib group vs. control group: 78.80 ± 9.04 vs. 82.57 ± 9.27), and most were unvaccinated (62.5% vs. 66.7%. Baricitinib group had a higher proportion of patients with hypertension (73.9% vs. 45.5%, p = 0.006). Control group had higher level of creatine kinase-myocardial band (247.50 vs. 104.50, p = 0.021). Patients in the baricitinib group were more likely to receive nirmatrelvir/ritonavir (39.6% vs. 16.7%, p = 0.017) and intravenous immunoglobin (14.6% vs. 0, p = 0.007). Baricitinib group had significantly lower all-cause 28-days mortality than control group (72.9% vs. 89.6%, p = 0.004).

Conclusion

The present study revealed baricitinib reduced 28-days mortality in severe COVID-19 patients on IMV. The effectiveness of baricitinib in treating patients with severe COVID-19 on IMV needs to be further investigated through future studies.

Clinical Profile and Outcomes of COVID-19 Positive Patients with Chronic Obstructive Pulmonary Disease (COPD) in a Tertiary Government COVID-19 Referral Center

Introduction

It is anticipated that Chronic Obstructive Pulmonary Disease (COPD) has greater risk in acquiring COVID-19 infection and poorer outcome. However, current worldwide data are conflicting.

Objectives

This study primarily aims to compare the outcomes of COVID-19 patients with COPD and those without COPD in terms of length of hospital stay (LOS), recovery or mortality, treatment received, and predictors of mortality.

Methods

This is a retrospective cohort chart review of 1,017 admitted adult COVID-19 patients from July to December 2020. Age, gender, smoking status, current control and medications for COPD, COVID-19 severity, symptoms, treatment, and outcomes of the two study groups were compared.

Results

Prevalence rate of COPD was 3.8%. COVID-19 patients with COPD were older (median age of 69 vs 54, p<0.001), male (87% vs 50%, p<0.001), hypertensive (72% vs 48%, p=0.004), and with tuberculosis (31% vs 11%, p=0.002). COVID-19 patients with COPD more commonly needed oxygen therapy, High Flow Nasal Cannula, Mechanical Ventilation, Tocilizumab, Convalescent Plasma Therapy and Dexamethasone, and had longer LOS. Significant risk factors for mortality are malignancy, investigational therapies, smoking, and older age. There was no difference in survival rates between the two groups.

Conclusion

COPD increases the risk for severe COVID-19 and lengthens LOS.

Time to recovery of COVID-19 patients and its predictors: a retrospective cohort study in HUCSH, Sidama, Ethiopia

INTRODUCTION

The 2019 COVID-19 pandemic had a global impact, leading to numerous deaths, long recovery times, and economic challenges worldwide, especially in countries with limited financial resources like Ethiopia. In Ethiopia, Hawassa lacks viral shedding information. Identifying predictors can help ease economic impact of illness.Therefore, this research aimed to examine the demographics, clinical features, and recovery time of COVID-19 patients, as well as determine predictive markers for severe adverse outcomes.

METHODS

Study at Hawassa University Comprehensive Speciality Hospital COVID-19 quarantine and therapy facility in Ethiopia (Sep 24, 2020 - Nov 26, 2021) with 804 patients. Extracted clinical, epidemiological, demographic info from medical records. Researchers used statistical tests like T tests, Chi-square tests, and Fisher's exact tests to analyze relationships between variables. They also used a Cox PH model to identify risk factors for COVID-19 patient recovery time. Significance level was set at 0.05 for all analyses.

RESULTS

Out of 804 COVID-19 patients, 74% recovered at an average age of 44.8 years, with 64.1% being male. Severe and critical cases were 24.1% and 21.4% of the population, respectively, with only 16.0% of critical cases and 19.5% of severe cases recovering. Average length of stay was 12.3 days. 88.4% of recovered patients had symptoms, with chest pain (66.7%), cough (64.4%), shortness of breath (59.2%), and fever (57.1%) being common. Nearly half had comorbidities, with diabetes (15.9%) and hypertension (15.2%) prevalent. Male patients had higher recovery rates, while severe/critical patients had lower rates. Patients over 39 age category had lower recovery chance. Existence of at least one comorbidities, diabetes, fever, and hypertension impacted recovery. Fever with gender and shortness of breath affected recovery. Assumptions were met with no multicollinearity.

CONCLUSIONS

Recent studies found that about 95% of COVID-19 patients recover within 30 days, with a median of 12 days. Severe cases, elderly, and those with comorbidities may take longer to recover. By effectively managing hypertension and diabetes, individuals can improve their prognosis and facilitate a quicker recovery. Public health concerns persist regarding COVID-19, especially for comorbidities like diabetic and hypertension. Early detection of fever and treatment of hypertension may expedite recovery.

Omega-3 Polyunsaturated Fatty Acids in Chronic Obstructive Pulmonary Disease Patients with COVID-19: A Review

PURPOSE OF THE REVIEW

Mounting evidence indicates that individuals with chronic obstructive pulmonary disease (COPD) face a heightened risk of severe outcomes upon contracting coronavirus disease 2019 (COVID-19). Current medications for COVID-19 often carry side effects, necessitating alternative therapies with improved tolerance. This review explores the biological mechanisms rendering COPD patients more susceptible to severe COVID-19 and investigates the potential of omega-3 polyunsaturated fatty acids (n-3 PUFAs) in mitigating the severity of COVID-19 in COPD patients.

RECENT FINDINGS

Current evidence indicates that COPD patients are at an increased risk of severe COVID-19 due to factors including compromised pulmonary function, dysregulated inflammation, weakened immune response, increased oxidative stress, elevated expression of angiotensin-converting enzyme (ACE2) receptors in the lungs, and genetic predispositions. Remarkably, n-3 PUFAs exhibit the potential in ameliorating the clinical outcomes of COPD patients with COVID-19 by modulating inflammation, reinforcing the body's antioxidant defenses, reducing viral entry and replication, and enhancing immunity. N-3 PUFAs hold potential for improving COVID-19 outcomes in patients with COPD. However, there has been limited investigation into the therapeutic effects of n-3 PUFAs in enhancing clinical outcomes for COPD patients. Rigorous clinical studies are essential to evaluate the impact of n-3 PUFAs on COPD patients with concurrent COVID-19 infection.

Prognostic risk factors of pneumonia associated with COVID-19 in patients with lymphoma

Objective

Patients with hematological malignancies have an elevated risk of developing pneumonia after contracting COVID-19. Lymphoma is the most prevalent hematologic malignancy. It is critical to identify patients at high risk of contracting COVID-19-associated pneumonia.

Methods

From January 11-31, 2023, we distributed questionnaires to patients diagnosed with lymphoma according to 2016 World Health Organization diagnostic and classification criteria. COVID-19 infection was confirmed based on symptoms and laboratory tests. Pneumonia was confirmed using computed tomography scans.

Results

In total, 257 patients were included in this study; 221 patients (86.0%) had COVID-19 infection and 61 (27.6%) of these had pneumonia. Patients with B-cell non-Hodgkin lymphoma (B-NHL) had a significantly higher pneumonia incidence than patients with other lymphoma types (31.8% vs. 27.6%, P=0.005). Higher incidence of pneumonia was observed in patients receiving anti-CD20 therapy (30.0% vs. 16.3%, P=0.048) and Bruton's tyrosine kinase (BTK) inhibitor therapy (51.3% vs. 22.5%, P=0.001). B-NHL (hazard ratio [HR]=3.7, 95% confidence interval [CI] 1.4-10.0, P=0.009), anti-CD20 therapy (HR=2.3, 95% CI 1.0-5.2, P=0.050), BTK inhibitor (HR=3.6, 95% CI 1.8-7.4, P<0.001), active therapy (HR=3.0, 95% CI 1.5-5.7, P=0.001), and lack of disease remission (HR=3.7, 95% CI 1.8-7.4, P=0.001) were high-risk factors for developing pneumonia. Anti-PD-1 therapy was a protective factor against pneumonia development (HR=0.2, 95% CI 0.05-0.9, P=0.034). In multivariable analysis, BTK inhibitor (HR=3.5, 95% CI 1.6-8.0, P=0.003), active therapy (HR=3.3, 95% CI 1.6-6.8, P=0.001), and disease non-remission (HR=2.9, 1.3-6.4, P=0.007) were independent risk factors for pneumonia development after COVID-19 infection in patients with lymphoma.

Conclusions

Patients with lymphoma receiving BTK inhibitors, undergoing active therapy, and lacking disease remission exhibited a higher risk for pneumonia associated with COVID-19.

The Saudi thoracic society guidelines for vaccinations in adult patients with chronic respiratory diseases

Adult patients with chronic respiratory diseases (CRDs) are considered high risk group who are more likely to experience worse clinical outcomes if they acquire viral or bacterial infections. Vaccination is the best preventive tool to reduce the risk of infection and disease occurrence and to reduce the level of severity of complications associated with the various vaccine-preventable infections. These guidelines were developed by the Saudi Thoracic Society task force to emphasize the critical importance of improving the vaccine coverage rates in adult patients with CRD. They are intended to serve as a reference for healthcare practitioners managing CRD patients. The guidelines aimed to review the current knowledge related to vaccination efficacy in adult patients with CRD, based on the recent evidence and recommendations. Integrating the administration of the recommended vaccines in routine healthcare, such as during outpatient visits or before hospital discharge, is crucial for improving the vaccination rates in high-risk patients. The key strategies to address this public health priority include simplifying vaccination guidelines to enhance their accessibility and implementation by healthcare providers, increasing awareness in both the patients and healthcare providers that vaccines are not only intended for children. Additional strategies include maintaining continuous surveillance and advance research to discover novel vaccines. This approach aims to expand the range of preventable diseases and improve overall health and well-being. Vaccine hesitancy remains a significant challenge that necessitates a clear understanding of the community concerns. Providing appropriate education and communication, as well as addressing these concerns, are the crucial steps toward improving vaccine acceptance and uptake. By implementing these guidelines and multifaceted strategies, healthcare systems can optimize vaccine coverage and protection for patients with CRD, reduce the burden of vaccine-preventable complications, and improve the clinical outcomes in this vulnerable population.

Assessment of asymptomatic fungal infections in COVID-19 positive and COVID-19 negative pneumonia: A comprehensive epidemiological analysis

Background

The COVID-19 pandemic has underscored the impact of secondary fungal infections on patient outcomes. This single-center study explores asymptomatic fungal infections in COVID-19-positive and COVID-19-negative pneumonia cases, elucidating the intricate relationship between viral respiratory illnesses and fungal co-infections.

Methods

Conducted at a single center, this cross-sectional study examines the prevalence, risk factors, and clinical implications of asymptomatic fungal infections in patients with COVID-19-positive and COVID-19-negative pneumonia. Various demographic, clinical, and laboratory parameters were analyzed.

Results

Fungal infections were significantly more prevalent in COVID-19 positive pneumonia cases (60%) compared to COVID-19 negative pneumonia cases (36%), with a notable P value of 0.016309. Furthermore, COVID-19-positive patients exhibited distinct clinical characteristics, including increased use of remdesivir (94%), higher rates of invasive mechanical ventilation (36%), and a prolonged hospital stay (14.29 days).

Conclusion

This study sheds light on the heightened vulnerability to asymptomatic fungal infections in COVID-19-positive pneumonia cases. Understanding these infections prevalence and their associated factors is crucial for comprehensive patient care and may influence treatment strategies, emphasizing the need for targeted interventions in viral respiratory illnesses.

Recent advancements in traditional Chinese medicine for COVID-19 with comorbidities across various systems: a scoping review

BACKGROUND

Traditional Chinese medicine (TCM) has developed a rich theoretical system and practical experience in fighting to infectious diseases over the past thousands of years, and has played an important role in controlling the spread owing to its unique advantages. In particular, its significant contribution to the prevention and control of Corona Virus Disease 2019 (COVID-19) is widely recognized. COVID-19 infection is mainly non-severe with a favorable overall outcome, but patients with comorbidities tend to have a poor prognosis. However, a comprehensive review of TCM for preventing and treating COVID-19 with comorbidities across various systems is still lacking. Hence, this scoping review aims to conduct a comprehensive investigation on treatment outcome of TCM for treating COVID-19 with comorbidities across various systems.

METHODS

The scoping review was conducted by searching English databases including PubMed and Web of Science, and Chinese databases including China National Knowledge Infrastructure and Wanfang between January 2020 and January 2024. We followed the inclusion and exclusion criteria to identify relevant literature. Information for inclusion in the literature were subsequently extracted and consolidated.

RESULTS

We enrolled 13 literature that met the inclusion criteria in the review finally. Our analysis revealed that research on COVID-19 with comorbidities was mostly focused on circulatory diseases, including hypertension, heart failure, and cerebrovascular diseases, most common comorbidities were hypertension. Followed by endocrine and metabolic diseases such as diabetes, respiratory diseases including pulmonary tuberculosis and chronic obstructive pulmonary disease have been also addressed. However, there were few studies on co-infectious urogenital system disease, and no studies on the rheumatic, immune, hematological, nervous, reproductive, and skin systems diseases. Based on existing studies, TCM has significantly improved the clinical symptoms of COVID-19 with comorbidities such as fever, fatigue, dry cough, anorexia and asthma, the absorption of lung lesions, shortened the duration of viral shedding and the course of disease.

CONCLUSIONS

TCM has great application prospects in treating COVID-19 with comorbidities. These findings could provide important evidence for clinicians to treat COVID-19 with comorbidities. Multi-center studies are required to confirm our results in the future.

Serum endocan (ESM-1) as diagnostic and prognostic biomarker in Multisystem inflammatory syndrome in children (MIS-C)

Endothelial-cell-specific molecule-1 (ESM-1) also called endocan is a well-known biomarker for detecting inflammation, endothelial dysfunction (ED), and cardiovascular (CV) risk in COVID-19 patients. Upon SARS-CoV-2 infection, a small percentage of children develop Multisystem Inflammatory Syndrome in children (MIS-C). Whether endocan can be used as a biomarker of MIS-C is unknown. In this study, we assessed ESM-1 levels in MIS-C (n = 19) and healthy controls (HC; n = 17). We observed a significant increase in serum ESM-1 levels in MIS-C vs HC (p = 0.0074). In addition, ROC curve analysis demonstrated that this factor has a reasonable discriminatory power between MIS-C patients and HC (AUC of 0.7585). Notably, after one week of hospitalization and care, ESM-1 levels decreased, and this reduction was observed also for other inflammatory and pro-thrombotic markers like C-reactive protein, procalcitonin, fibrinogen, D-dimer, and ferritin, suggesting a general recovery trend in MIS-C patients. In fact, we observed that serum ESM-1 levels positively correlated with procalcitonin (PCT) (r = 0.468; p = 0.043). Finally, logistic regression analysis demonstrated an association between endocan levels and cardiac complications like myocarditis. Therefore, this study suggests that ESM-1 is a valuable diagnostic and prognostic biomarker in patients with MIS-C that may help identify those MIS-C patients at higher risk for cardiovascular complications and guide treatment strategies.

The Relationship Between Predisposing Risk Factors and COVID-19: An Observational Study

Background Numerous risk factors have been identified for developing severe COVID-19, including sociodemographic variables and concomitant diseases. Individuals with underlying comorbidities such as diabetes, hypertension, asthma, and coronary artery disease are at a greater risk of severe illness and death. This study aimed to observe the association between risk factors and the severity of COVID-19. Methodology A single-center, hospital-based, prospective, observational study was conducted at Max Smart Super Speciality Hospital in Saket, Delhi from October 2020 to December 2021. A total of 1,454 patients admitted under our care in the Department of Internal Medicine were included in this study. Patients were divided into the following three groups: patients without comorbidities, patients with a single comorbidity, and patients with multiple comorbidities. The risk factors under evaluation were age >50 years, obesity, diabetes, hypertension, chronic kidney disease (CKD), heart disease, chronic liver disease (CLD), and immunocompromised status (human immunodeficiency virus, post-transplant, malignancy undergoing chemotherapy). Results In this study, 28.1% (n = 408) of patients did not have comorbidities, 30.1% (n = 438) of patients had a single comorbidity, and 41.8% (n = 608) of patients had multiple comorbidities. Regarding risk factors, 62% (n = 872) of patients were aged >50 years, 7.4% (n = 108) were obese, 30.7% (n = 447) had diabetes, 33% (n = 480) were hypertensive, 1.2% (n = 18) had CKD, 6.8% (n = 99) had heart disease, 0.3% (n = 4) had CLD, and 5.5% (n = 80) were immunocompromised. A statistically significant association was found between increasing age and worsening severity of COVID-19 (p = 0.0001), male gender (p = 0.0001), presence of comorbidities, including diabetes, hypertension, obesity, CKD, CLD, heart disease (p = 0.0001). Patients in the immunocompromised group did not have a statistically significant association with disease severity. A statistically significant association was found between mortality and severity of COVID-19. Overall, 16.7% (n = 48) of the patients in the no comorbidity group, 35.4% (n = 102) in the single comorbidity group, and 47.9% (n = 138) in the multiple comorbidity group (p = 0.0001) presented with severe disease on admission. Conclusions The study shows that the severity of the disease increased as the number of risk factors increased. This information can help us take early and active measures in these groups of patients with multiple comorbid illnesses.

Construction and validation of a risk model of proteinuria in patients with omicron COVID-19: retrospective cohort study

BACKGROUND

To explore the risk factors of proteinuria in Omicron variant patients and to construct and verify the risk predictive model.

METHODS

1091 Omicron patients who were hospitalized from August 2022 to November 2022 at Tianjin First Central Hospital were defined as the derivation cohort. 306 Omicron patients who were hospitalized from January 2022 to March 2022 at the same hospital were defined as the validation cohort. The risk factors of proteinuria in derivation cohort were screened by univariate and multivariate logistic regression analysis, and proteinuria predicting scoring system was constructed and the receiver operating characteristic(ROC)curve was drawn to test the prediction ability. The proteinuria risk model was externally validated in validation cohort.

RESULTS

7 factors including comorbidities, blood urea nitrogen (BUN), serum sodium (Na), uric acid (UA), C reactive protein (CRP) and vaccine dosages were included to construct a risk predictive model. The score ranged from -5 to 16. The area under the ROC curve(AUC) of the model was 0.8326(95% CI 0.7816 to 0.8835, p < 0.0001). Similarly to that observed in derivation cohort, the AUC is 0.833(95% CI 0.7808 to 0.9002, p < 0.0001), which verified good prediction ability and diagnostic accuracy in validation cohort.

CONCLUSIONS

The risk model of proteinuria after Omicron infection had better assessing efficiency which could provide reference for clinical prediction of the risk of proteinuria in Omicron patients.

Clinical characteristics of adult asthma patients hospitalized by COVID-19 in Mexico City: a real-world study

BACKGROUND

The COVID-19 pandemic raised concerns about whether individuals with chronic respiratory diseases, such as asthma, were at higher risk of severe outcomes. Although several studies were published on this topic, not all included asthma as a risk factor. Therefore, describing the clinical characteristics of COVID-19-infected asthma patients in a specialized respiratory center is valuable as a real-life study.

OBJECTIVE

To investigate the clinical characteristics and disease severity in SARS-CoV-2-infected adults with pre-existing asthma hospitalized at the National Institute of Respiratory Diseases (INER) in Mexico City.

METHODS

We conducted a retrospective, observational study on adults with confirmed COVID-19 hospitalized from March 2020 to June 2021. Out of 2,249 reviewed medical records, we identified asthmatic patients and compared them with a matched non-asthmatic control group to assess asthma's impact on COVID-19 severity and outcomes.

RESULTS

Based on the clinical records, asthma prevalence among hospitalized patients was low (1.51%); of these, 73% had allergic and 27% had non-allergic asthma. COVID-19 severity did not vary significantly between asthma phenotypes, although there was higher mortality among patients with non-allergic asthma. Most patients in both groups developed a severe form of the disease and higher mortality rates than non-asthmatics, though the differences were not statistically significant.

CONCLUSION

Asthma prevalence among patients with COVID-19 was low, but mortality was higher in asthma patients. Although the small sample size limits the generalizability of these findings, this study in a Mexican population hospitalized in a reference hospital provides insights for improving asthma management in future pandemics.

Analysis of data of COVID lockdown period: Comorbidity and fatality rates in a few districts of Assam, India

In many regions of the world, significant data collection, analysis, and availability on comorbidity and fatality incidents caused by COVID-19 during the lockdown period (2020-2022) is rare. This is especially true for hospitals and COVID treatment facilities in India. This lack of understanding impedes the development of appropriate treatment options, potentially resulting in inferior planning, patient recovery results, and a load on healthcare resources. This project intends to bridge the gap and enhance patient care in Assam, India, in light of the COVID pandemic. Furthermore, this study aims to determine baseline patient characteristics associated with an elevated risk of death among hospitalized COVID-19 patients in Assam. We employed machine learning (ML) and deep learning (DL) approaches to discover hidden patterns in patient data that could predict which individuals are more sensitive to severe consequences. This knowledge has the potential to transform patient care by allowing doctors to personalize treatment plans and prioritize resources for individuals who are most at risk. A retrospective observational analysis was performed using data from 5329 individuals hospitalized with SARS-CoV-2 illness between April and December 2021. ML and DL algorithms could be used to examine patient characteristics and identify risk factors for death (in this case, 554). We expect this to help us better understand the risk factors for in-hospital death among COVID19 patients in Assam. The findings could be useful in building risk assessment tools to guide patient care.

Association between the lowest level of serum albumin during hospitalization and adverse outcomes in older adults with COVID-19

Serum albumin on admission has been investigated among inpatients with COVID-19. However, studies on the lowest level of serum albumin during hospitalization and adverse outcomes are limited. This research aimed to explore association between them in older adults with COVID-19. A retrospective study was conducted with 300 patients aged 60 or older with first confirmed COVID-19 from January to February 2023. An adverse outcome was defined as development of acute respiratory failure, shock, or death. Data on demographics, comorbidities, laboratory parameters, the initial phase of COVID-19, coinfection, sepsis, receipt of antiviral treatment and outcomes were gathered from the electronic medical records. The association between the lowest level of serum albumin and adverse outcomes was analyzed using univariate and multivariate regression models, along with generalized additive models. After adjusting potential confounders, nonlinear relationship with an inflection point of 29.1 g/L was detected between the lowest level of serum albumin and adverse outcomes in the elderly. The effect sizes and the confidence intervals on the left and right sides of the inflection point were 0.667 (0.520, 0.856) and 1.171 (0.875, 1.568), respectively. This demonstrated that the lowest level of serum albumin was negatively correlated with adverse outcomes when albumin was <29.1 g/L. A rise of 1 unit in the lowest level of albumin equated to a 33.3% decrease in the risk of adverse outcomes. The correlation between the lowest level of serum albumin and adverse outcomes of COVID-19 is a nonlinear. this study indicates that serum albumin levels should be sustained above the critical inflection point identified to reduce the risk of adverse outcomes.

Mass cytometry reveals cellular correlates of immune response heterogeneity to SARS-CoV-2 vaccination in the elderly

Heterogeneity in vaccine response, particularly in vulnerable populations like the elderly, represents a significant public health challenge. We conducted an in-depth examination of immune cell profiles before and after SARS-CoV-2 vaccination utilizing mass cytometry in a cohort of healthy Norwegian seniors (65-80 years). We have demonstrated that higher pre-vaccination frequencies of CD27+IgD- class-switched memory B cells and subsets of CD27-CD24+CD38+ transitional B cells were associated with a robust vaccine response. Post-vaccination, high responders exhibited increased frequencies of IFN-γ+CD4+ T cells with antigen recall and a concurrent decrease in CCR6(+) TH cell subset frequencies compared to low responders. The presence of a γδ T cell subset displaying polyfunctional cytokine responses was also associated with better vaccine response in the elderly. This in-depth profiling sheds light on inherent differences in immune cell frequencies and functions that may offer insights for targeted vaccination strategies in older populations.

Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding

BACKGROUND

The global outbreak of the coronavirus disease 2019 (COVID-19) has been enormously damaging, in which prolonged shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, previously 2019-nCoV) infection is a challenge in the prevention and treatment of COVID-19. However, there is still incomplete research on the risk factors that affect delayed shedding of SARS-CoV-2.

METHODS

In a retrospective analysis of 56,878 hospitalized patients in the Fangcang Shelter Hospital (National Convention and Exhibition Center) in Shanghai, China, we compared patients with the duration of SARS-CoV-2 viral shedding > 12 days with those days < 12 days. The results of real-time polymerase chain reaction (RT-PCR) tests determined the duration of viral shedding from the first day of SARS-CoV-2 positivity to the day of SARS-CoV-2 negativity. The extreme gradient boosting (XGBoost) machine learning method was employed to establish a prediction model for prolonged SARS-CoV-2 shedding and analyze significant risk factors. Filtering features retraining and Shapley Additive Explanations (SHAP) techniques were followed to demonstrate and further explain the risk factors for long-term SARS-CoV-2 infection.

RESULTS

We conducted an assessment of ten different features, including vaccination, hypertension, diabetes, admission cycle threshold (Ct) value, cardio-cerebrovascular disease, gender, age, occupation, symptom, and family accompaniment, to determine their impact on the prolonged SARS-CoV-2 shedding. This study involved a large cohort of 56,878 hospitalized patients, and we leveraged the XGBoost algorithm to establish a predictive model based on these features. Upon analysis, six of these ten features were significantly associated with the prolonged SARS-CoV-2 shedding, as determined by both the importance order of the model and our results obtained through model reconstruction. Specifically, vaccination, hypertension, admission Ct value, gender, age, and family accompaniment were identified as the key features associated with prolonged viral shedding.

CONCLUSIONS

We developed a predictive model and identified six risk factors associated with prolonged SARS-CoV-2 viral shedding. Our study contributes to identifying and screening individuals with potential long-term SARS-CoV-2 infections. Moreover, our research also provides a reference for future preventive control, optimizing medical resource allocation and guiding epidemiological prevention, and guidelines for personal protection against SARS-CoV-2.

Haplotypic Distribution of SARS-CoV-2 Variants in Cases of Intradomiciliary Infection in the State of Rondônia, Western Amazon

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a high transmissibility profile which favors the accumulation of mutations along its genome, providing the emergence of new variants. In this context, haplotype studies have allowed mapping specific regions and combining approaches and tracking phylogenetic changes. During the COVID-19 pandemic, it was notorious that home environments favored the circulation of SARS-CoV-2, in this study we evaluated 1,407 individuals positive for SARS-CoV-2, in which we located 53 families in the period from June 2021 to February 2023. The epidemiological data were collected in E-SUS notifica and SIVEP-gripe. Then, the genetic material was extracted using the commercial kit and the viral load was evaluated and the viral genomes were sequenced using the Illumina MiSeq methodology. In addition, the circulation of 3 variants and their respective subvariants was detected. The delta variant represented the highest number of cases with 45%, the Omicron variant 43% and the lowest number with 11% of cases the Gamma variants. There were cases of families infected by different subvariants, thus showing different sources of infection. The haplotype network showed a distribution divided into 6 large clusters that were established according to the genetic characteristics observed by the algorithm and 224 Parsimony informative sites were found. In addition, 92% of subjects were symptomatic and 8% asymptomatic. The secondary attack rate of this study was 8.32%. Therefore, we can infer that the home environment favors the spread of SARS-CoV-2, so it is of paramount importance to carry out genomic surveillance in specific groups such as intradomiciliary ones.

Laboratory findings predictive of critical illness in hospitalized COVID-19 patients in Tunisia

Background

COVID-19 disease has spread rapidly worldwide, causing high mortality. Accessible biomarkers capable of early identification of patients at risk of severe form are needed in clinical practice. The aim of the study was to determine the biological markers that predict a critical condition.

Methods

Retrospective study including patients with confirmed COVID-19 hospitalized between September 2020 and June 2021. The primary endpoint was progression to critical status within 7 days from admission. We defined two groups:Critical group: Patients who developed a critical condition or died or transferred to the ICU before or at 7 th day.Non-critical group: Patients who remained in non-critical respiratory status until 7 th day or discharged before or at 7 th day.

Results

Our study included 456 patients, with a sex ratio of 1.32 and an average age of 62 years. At the 7 th day of hospitalization, 115 (25.2%) patients were in the critical group and 341 (74.8%) patients were in the non-critical group. The univariate logistic regression indicated that laboratory findings between non-critical and critical groups showed that C-reactive protein (CRP) (p=0.047), D-Dimer (p=0.011), creatinine (0.026), creatine kinase (p=0.039), lactate dehydrogenase (p=0.04), and troponin (p=0.001) were all higher among patients in critical group. However, lymphocyte (p<0.001) and platelet (p<0.001) counts were significantly lower among the critical group. Multivariate logistic regression model, identified four independent risk factors: lymphopenia (OR=2.771, 95%CI=1.482-5.181, p=0.001), Neutrophil to Lymphocyte Ratio (NLR) (OR=2.286, 95%CI=1.461-3.578, p<0.001), thrombocytopenia (OR=1.944, 95%CI=1.092-3.459, p=0.024), and CRP>71.5 (OR=1.598, 95% CI=1.042-2.45, p=0.032) were associated to critical group.

Conclusions

Our results show the predictive value of lymphopenia, thrombocytopenia, high NLR and CRP levels to evaluate the prognosis of COVID-19 pneumonia. A prognostic score could be proposed for guiding clinical care and improving patient outcomes.

Chronic obstructive pulmonary disease, asthma, and mechanical ventilation are risk factors for dyspnea in patients with long COVID: A Japanese nationwide cohort study

BACKGROUND

Patients often experience multiple prolonged symptoms following acute coronavirus disease 2019 (COVID-19) recovery, defined as long coronavirus disease (COVID). Patients with long COVID may experience dyspnea during acute and post-acute phases. Therefore, this study aimed to identify specific risk factors for dyspnea in patients with long COVID.

METHODS

Hospitalized patients with COVID-19, aged ≥18 years, were enrolled in this multicenter cohort study conducted at 26 medical institutions across Japan. Clinical data during hospitalization and patient-reported outcomes after discharge at the 3, 6, and 12-month follow-ups were retrieved from medical records and paper-based or smartphone application-based questionnaires, respectively.

RESULTS

Generalized linear mixed model (GLMM) analysis of prolonged dyspnea at each time point during follow-up showed that this symptom was associated with chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.74; 95% confidence interval [CI], 1.31-5.74), asthma (OR, 2.21; 95%CI, 1.17-4.16), and ventilator management (OR, 3.10; 95%CI, 1.65-5.83). In addition, patients with COPD (44.4%) and ventilator management (25.0%) were more frequently associated with delayed dyspnea onset. The generalized estimating equations analysis results with multiple imputed datasets, conducted as a sensitivity analysis, confirmed the adjusted GLMM analysis results.

CONCLUSIONS

Prolonged dyspnea was associated with COPD, asthma, and severe infection that required mechanical ventilation in the Japanese population with long COVID. Further investigation is needed to clarify its mechanism and develop prophylactic and therapeutic strategies for dyspnea in patients with long COVID.

Outcomes of Cancer Patients Affected by COVID-19 in Different Settings: A Retrospective Study in Lebanon

BACKGROUND

The diverse presentation of COVID-19 symptoms and outcomes has revealed a significant gap in understanding the specific risk factors and characteristics of the virus among immunocompromised cancer patients, particularly in the Middle East.

AIMS

We our study aimed to address this gap by investigating the characteristics and outcomes of COVID-19 in cancer patients compared to non-cancer patients.

METHODS AND RESULTS

We carried out a retrospective analysis, collecting demographic, oncologic, and COVID-19-related data from electronic medical records of 248 patients admitted to our tertiary care center in Lebanon. Statistical analysis was conducted using SPSS to identify patterns. Patients with solid tumors were 3.433 times more likely to die than those who were cancer-free (p = 0.012). Moreover, patients with advancing disease were 2.805 times more likely to be admitted to the ICU (p = 0.03) and 14.7 times more likely to die (p < 0.001) compared with those in remission.

CONCLUSION

Our findings emphasize the critical need for tailored preventive measures and specialized care for immunocompromised cancer patients, given their heightened vulnerability to severe COVID-19 outcomes. These insights contribute to the development of specific strategies aimed at enhancing the protection and clinical management of this high-risk group.

Age Differences and Prevalence of Comorbidities for Death and Survival in Patients with COVID-19: A Single-Center Observational Study in a Region of Southern Italy

The SARS-CoV-2 outbreak has resulted in a considerable number of deaths worldwide. The virus damages the pulmonary artery endothelium, leading to a condition known as microvascular pulmonary inflammatory thrombotic syndrome (MPITS), which can be fatal and cause multiple organ failure. The presence of preexisting comorbidities has been shown to significantly impact the severity and prognosis of patients with SARS-CoV-2 infection. The objective of this study was to compare the age groups of patients with coronavirus disease 2019 (COVID-19) and to identify the prevalence of comorbidities associated with death and survival in an area of southern Italy. The data set consisted of 1985 patients with confirmed cases of SARS-CoV-2 infection who were admitted to the A.O.U. San Giovanni di Dio e Ruggi d'Aragona Hospital in Salerno between January 2021 and December 2022. The results were presented for the overall population and stratified by outcome and age group. All analyses were performed using the XLSTAT (Lumivero, 2024, Paris, France) and STATA software (release 16.1, StataCorp LLG, College Station, TX, USA, 2019) packages. In the study, population, 636 cases (32%) resulted in death, with a higher prevalence in the 60-79 age group, followed by the ≥80 and 30-59 age groups. The most prevalent diseases among deceased and surviving patients with confirmed cases of SARS-CoV-2 infection were those affecting the circulatory system (61.5% vs. 55.5%), the respiratory system (55.8% vs. 26.2%), and the metabolic system (25.9% vs. 25.4%). In patients aged 30-79, respiratory diseases were the primary cause of mortality, whereas in those aged ≥80, circulatory system diseases were more prevalent. Among survivors, cardiovascular diseases were the most common comorbidities across all age groups, followed by respiratory diseases and endocrine, metabolic, and immune disorders. Moreover, these comorbidities were associated with an elevated risk of mortality. The study emphasizes the substantial influence of age and comorbidities on the mortality associated with SARS-CoV-2 infection. These findings highlight the necessity for targeted interventions to manage comorbid conditions in patients with SARS-CoV-2 infection, particularly in older adults.

Investigating the follow-up discontinuation among people living with HIV in North Shoa Zone, Oromia, Ethiopia

Introduction

Follow-up discontinuation among people living with HIV can increase mortality and HIV spread within communities. This study investigates the impact of the COVID-19 on follow-up discontinuation among people living with HIV in Ethiopia.

Methods

This longitudinal study used retrospective document review to compare follow-up status of people living with HIV during the COVID-19 pandemic with their status from 2017 to 2019. Data from selected health facilities were collected using a checklist, entered and cleaned in Excel, and analyzed in Stata. Descriptive statistics were presented in tables and line graphs. Incidence risk (IR) and incidence rate ratios (IRR) were calculated.

Results

Between 2017 and 2021, a total of 7,447 people living with HIV were registered to begin ART at selected health facilities. Annual retention rates were consistent from 2017 to 2019, ranging from 0.941 to 0.949. During the COVID-19 pandemic, they dropped to 0.837 in 2020 and 0.840 in 2021. Retention rates were significantly correlated with loss to follow-up (r: -0.959, p ≤ 0.001), death (r: -0.968, p ≤ 0.001), and transfer-out (r: -0.979, p ≤ 0.001). Moreover, the incidence of loss to follow-up (IRR: 3.00, 95%CI: 2.71-3.33, p ≤ 0.001), death (IRR: 3.61, 95%CI: 3.13-4.16, p ≤ 0.001), poor adherence (IRR: 2.27, 95%CI: 2.14-2.40, p ≤ 0.001), and severe malnutrition (IRR: 2.32, 95%CI: 2.18-2.47, p ≤ 0.001) significantly increased during the COVID-19.

Conclusion

The study found that COVID-19 healthcare disruptions increased follow-up loss among people living with HIV and heightening the disease burden in Ethiopia.

The Association Between Obesity, Chronic Inflammation, Metabolic Disorders and Mood Disorders Among Patients up to 12 Months After Hospitalization for SARS-CoV-2

BACKGROUND/OBJECTIVES

The relationship between BMI, inflammation, and mental health is complex. A high BMI, especially obesity, is associated with chronic inflammation, which can lead to mental disorders such as depression. Inflammatory cytokines affect neurotransmitters and the stress axis, worsening mental health. Obesity and mental disorders can mutually reinforce each other. New findings show that inflammation can lead to neurobiological changes, and the gut microbiota may play a key role. Obesity has been implicated as a factor in the high mortality and duration of influenza-like illnesses, even in people who do not have other chronic diseases that may increase the risk of complications. The aim of this study was to determine the associations between BMI and chronic inflammation, metabolic disorders, depression, and anxiety in patients hospitalized with COVID-19 up to 12 months after hospitalization.

METHODS

The study included 248 participants previously hospitalized for SARS-CoV-2 infection up to 12 months after hospitalization. The study was conducted in a multistage design using a diagnostic survey, anthropometric measurements, and laboratory methods.

RESULTS

A statistically significantly higher BDI-II score was observed among women. Statistical analysis showed a statistically significant higher GAD-7 score among women and those over 75 years of age.

CONCLUSIONS

Higher BMI among subjects is often associated with elevated values of inflammatory markers and immune cells, such as WBC, neutrophils, monocytes, and CRP, as well as higher blood glucose levels. These associations may be related to the chronic inflammation and metabolic disorders that often accompany obesity. Lymphocytes and eosinophils may show more varied relationships depending on individual factors and specific health conditions. It is therefore important to continue research in this area.

Death from COVID-19 in contexts of social deprivation in Mexico

Introduction

Poverty is one of the macro factors that has been little studied in terms of its effect on death from COVID-19 since most studies have focused only on investigating whether the pandemic increased poverty or not. With that on mind, the present study aims to analyze how the social deprivations that comprise the measurement of municipal poverty in interaction with health comorbidities and sociodemographic characteristics, increased the probability of death from COVID-19.

Methods

The study is cross-sectional and covers daily reports on the conditions of COVID-19 in the Mexican population for almost 2 years. Using data from the National Epidemiological Surveillance System and the National Council for Evaluation of the Social Development Policy (N = 5,387,981), we employ a Generalized Linear Mixed Model (GLMM), specifically a binomial generalized linear mixed model.

Results

The findings indicate that, besides comorbidities, sociodemographic traits, and clinical aspects, living in a municipality where one or more of the social deprivations exist increases the probability of death. Specifically, in those municipalities where there is deprivation in education, social security, and food, as well as deprivation due to access to health services and deprivation in household services, the probability of death was greater.

Discussion

Living in a municipality with one or more of the social deprivations that compose poverty generated a greater probability of death. Each one of them or together, shows that poverty is a substantial factor for a pandemic like COVID-19 to worsen contagion and death, becoming a circle from which it is difficult to escape.

Development and validation of predictive models for mortality of cases with COVID-19 (Omicron BA.5.2.48 and B.7.14): a retrospective study

OBJECTIVES

With the emergence of new COVID-19 variants (Omicron BA.5.2.48 and B.7.14), predicting the mortality of infected patients has become increasingly challenging due to the continuous mutation of the virus. Existing models have shown poor performance and limited clinical utility. This study aims to identify the independent risk factors and develop practical predictive models for mortality among patients infected with new COVID-19 variants.

DESIGN

A retrospective study.

SETTING AND PARTICIPANTS

We extracted data from 1029 COVID-19 patients in the respiratory disease wards of a general hospital in China between 22 December 2022 and 15 February 2023.

OUTCOME MEASURES

Mortality within 15 days after hospital discharge.

RESULTS

A total of 987 cases with new COVID-19 variants (Omicron BA.5.2.48 and B.7.14) were eventually included, among them, 153 (15.5%) died. Non-invasive ventilation, intubation, myoglobin, international normalised ratio, age, number of diagnoses, respiratory rate, pulse, neutrophil count and albumin were the most important predictors of mortality among new COVID-19 variants. The area under the curve of logistic regression (LR), decision tree (DT) and Extreme Gradient Boosting (XGBoost) models were 0.959, 0.883 and 0.993, respectively. The diagnostic accuracy was 0.926 for LR, 0.918 for DT and 0.977 for XGBoost. XGBoost model had the highest sensitivity (0.908) and specificity (0.989).

CONCLUSION

Our study developed and validated three practical models for predicting mortality in patients with new COVID-19 variants. All models performed well, and XGBoost was the best-performing model.

THE EFFECT OF URIC ACID LEVEL ON THE SEVERITY OF COVID-19

Epidemiological and clinical features of COVID-19 have been reported, but risk factors need to be determined to predict the course of the disease. In our study, we aimed to determine the effect of uric acid level on the severity of the disease. COVID-19 patients who received inpatient treatment between March 11, 2020 and May 30, 2020, and whose uric acid level was measured were included in the study. Demographic characteristics, comorbidities, symptoms, clinical course, laboratory parameters, and treatments were recorded. The study included 83 patients, of these 43 (52%) were males. The mean age was 59±17.1 years. The mean uric acid and albumin levels of the patients who needed oxygen were lower than in those who did not need oxygen (p=0.471 and p=0.057, respectively). There was a significant relationship between the presence of hypouricemia and mortality (p=0.019). In addition, the mean uric acid levels of patients who needed intensive care or died were lower than the mean uric acid levels of patients who did not need intensive care or who lived (p=0.665 and p=0.241, respectively). Oxygen need, intensive care need, and low uric acid level were found to be associated with increased length of hospital stay (p=0.00, p=0.001, p=0.012, and r=-0.276, respectively). Our study results suggest that uric acid levels may be associated with disease severity in the course of COVID-19.

Increased incidence of myxedema coma during the COVID-19 pandemic and in the post pandemic era: a single-center case series

The COVID-19 pandemic was a major challenge for all health care employees, but it was also difficult for patients to gain access to health care services. Myxedema coma (MC) is an extremely rare but potentially fatal endocrine emergency. The aim of the study was to report an increased incidence of life-threatening myxedema coma that occurred in relation to the COVID-19 pandemic. In this paper, we report a cohort of 11 patients with MC who were treated at the University Hospital in Krakow, Poland, in the period from 2015 to 2023. Only 1 case of MC was recorded in the period from 2015 to 2019, and, in the same area, 10 cases of MC were recorded after the start of COVID-19 pandemic until present. Hypothyroidism was diagnosed de novo in 2 (18%) patients; the remaining patients were severely hypothyroid due to therapy non-compliance. Nine patients had primary hypothyroidism, and 2 had central hypothyroidism. Besides longstanding hypothyroidism, an additional precipitating factor for MC was identified in 4 (36%) of the patients. Due to the inaccessibility of parenteral levothyroxine, patients were treated with oral, mostly liquid, form of levothyroxine. The mortality rate in this cohort was 27.2%. In conclusion, the increase of the incidence of MC, which is a life-threatening complication of inadequately treated hypothyroidism, during the COVID-19 pandemic, when resources were limited, and in the post-pandemic era, underlines the importance of adequate communication with patients and of long-term availability of primary care for patients with thyroid disease.

Disease-modifying therapies, outcomes, risk factors and severity of COVID-19 in multiple sclerosis: A MENACTRIMS registry based study

BACKGROUND

There is a lack information regarding risk factors associated with worse COVID-19 outcomes in patients with multiple sclerosis (MS) in the MENA region.

METHODS

This is a multicenter, retrospective cohort study that included all MS patients with a suspected or confirmed COVID-19 infection using the MENACTRIMS registry. The association of demographics, disease characteristics, and use of disease-modifying therapies (DMTs) with outcomes and severity of COVID-19 were evaluated by multivariate logistic model.

RESULTS

A total of 600 MS patients with confirmed (n = 542) or highly suspected (n = 58) COVID-19 were analyzed. Seventy-three patients (12.2 %) had a COVID-19 severity score of ≥3 on a 7-point ordinal scale (ranging from 1 [not hospitalized with no limitations on activities] to 7 [death] with a cutoff at 3 [hospitalized and not requiring supplemental oxygen]), and 15 patients (2.5 %) died. Out of 73 patients with a severity score ≥3, 90.4 % were on DMTs; 50.6 % of them were on anti-CD20, including ocrelizumab and rituximab. Multivariate logistic regression showed that older age (odds ratio per 10 years, 1.4 [95 %CI, 1.0-1.8]), disability (OR for EDSS 3.0-5.5, 2.9 [95 %CI. 1.5-5.7], OR for EDSS ≥6.0, 2.3 [95 %CI. 1.0-5.1]), obesity (OR, 3.0 [95 %CI, 1.5-6.0]), and treatment with rituximab (OR, 9.0 [95 %CI, 3.1-25.3]) or off-label immunosuppressive medications (OR, 5.6 [95 %CI. 1.1-27.8]) were risk factors for moderate or severe COVID-19.

CONCLUSION

In this registry-based study of MS patients, age, sex, EDSS, obesity, progressive MS were risk factors for severe COVID-19. Moreover, there was an association found between exposure to anti-CD20 DMTs and COVID-19 severity.

Assessment of COVID-19 patients' outcome based on clinical profile, laboratory parameters, and clinical management: A retrospective observational study

Background

The coronavirus disease 2019 (COVID-19) pandemic has presented an unprecedented challenge to the global healthcare system, prompting an urgent need to understand the factors influencing patient outcomes. Critical to improving treatment protocols and reducing mortality rates is an in-depth assessment of the clinical profile, laboratory findings, and management strategies employed in treating COVID-19 patients. This research provides valuable insights that could influence future therapeutic approaches and public health strategies, ultimately aiming to reduce the morbidity and mortality associated with COVID-19. The study aimed to assess mortality predictors in patients admitted to the intensive care unit (ICU) due to COVID-19.

Methods

This study employed a retrospective approach, utilizing patient data from medical records. The collected data encompassed demographic and clinical profiles and details regarding the duration of admission and treatment. The evaluation focused on patients admitted to the ICU for COVID-19 between March 2020 and July 2021, with confirmation through real-time reverse transcriptase polymerase chain reaction (RT-PCR). Rigorous statistical analysis was conducted to compare outcomes between discharged and deceased patients.

Results

The study included a total of 202 ICU patients admitted for COVID-19. Among the cases, 147 (72.8%) were males and 55 (27.2%) were females. The mean age was 58.42 years, with a standard deviation of 15.59 years. Fever (92%) emerged as the most frequently encountered symptom, followed by cough (48.5%) and dyspnea (35%). Patients with underlying comorbidities exhibited a higher susceptibility to developing a severe or critical disease. Hypertension (n = 38) was identified as the most prevalent comorbidity, followed by type 2 diabetes mellitus (n = 36). Hypertension has demonstrated a significant association with disease outcomes. Body temperature, respiratory rate, oxygen saturation, and mechanical ventilation played substantial roles in patient outcomes.

Conclusion

The study revealed that underlying comorbidities and complications, such as acute respiratory distress syndrome (ARDS), were linked to significantly higher mortality rates among COVID-19 patients. Abnormal laboratory parameters also exhibited significant differences in the outcomes of ICU patients.

COVID-19 and diabetes research: Where are we now and what does the future hold? A bibliometric visualization analysis

Background & objective

The extensive spread of Coronavirus disease 2019 (COVID-19) worldwide has caused a dramatic negative impact on many individuals' health. This study aims to systematically and comprehensively analyze the current status and possible future directions of diabetes mellitus (DM) and COVID-19 research.

Methods

We obtained publications about COVID-19 and DM from the Web of Science Core Collection (WoSCC) using the search terms "COVID-19″ and similar terms combined with "DM" and similar terms, with a date range of January 2020 to May 2024. And we used CiteSpace V 6.3.R2 to perform the bibliometric visualization analysis.

Results

The search enrolled 6266 publications. The USA is a country with the most publications; Harvard University was the most productive institution in this field. The highest-ranked journal was the PLOS ONE, and the most cited journal was Lancet. The 20 most cited journals have all been cited 28754 times, accounting for 28 % of the total cites; the range of those journals was 790-3197. Publications on COVID-19 and DM research exhibited a distinct trajectory, shifting from an initial emphasis on understanding the impact of diabetes on COVID-19 infection and its associated pathophysiological mechanisms to a focus on analyzing the differential responses of diverse patient populations. Subsequently, research has progressed to examine the effects of medications and vaccines, as well as the long-term consequences of COVID-19 in diabetic individuals. Throughout this research endeavor, the exploration of diverse therapeutic interventions, their efficacy, and ultimate outcomes have consistently remained a paramount focus. And " metabolic syndrome," " long COVID," and " gestational diabetes" are still likely to be the hotspots and frontiers of research in the future.

Conclusions

This bibliometric analysis related to DM in COVID-19 illuminates the current research situation and developmental trends, supporting researchers in the exploration of prospective directions for research.