Body Mass Index as a Major Prognostic Contributing Factor in COVID-19: A Multicentral Egyptian Study

Chromium and formoterol therapy for obesity-induced asthma in rats

The development of asthma is impacted by fat. Asthma is more common in obese persons. The purpose of the experimental study is to determine how chromium, formoterol, and their combination can improve the quality of life for obese people with lung anomalies. Thirty-six male Wistar rats were divided into six groups: control (C), obesity (CO), obese-asthma (COA), and obese-asthma groups treated with formoterol (OAF), chromium (OACR), or both (OACRF). Except for group C, all groups received a high-fat diet for 4 weeks. Subsequently, ovalbumin (OVA) was administered subcutaneously (s.c.) to all groups except C and CO to induce sensitization. Asthma was triggered via 1% OVA aerosol challenges on days 26-28. Over 5 days, OAF and OACRF received daily formoterol inhalations (50 μg/kg), while OACR and OACRF were given chromium (400 μg/kg). Treatments were timed to align with asthma induction protocols. Lipid profile and inflammatory indicators were examined at the end of the trial-Immunohistochemical analysis of lung tissue, Histopathological and lung tissue stained with Hematoxylin and Eosin. The combination therapy (OACRF) significantly reduced body weight (p < 0.05), lowered LDL and triglycerides, increased HDL, and normalized lung tissue architecture compared to controls. Immunohistochemistry revealed reduced IL-1β and IL-17α expression. The (OACRF) group demonstrated superior asthma control by reducing body weight, improving inflammatory indicators, and restoring lung tissue to its normal state by administering chromium and formoterol therapy. The most effective strategy for treating both obesity and asthma is to address their two connected conditions. These findings demonstrate that combined chromium and formoterol therapy effectively addresses metabolic and inflammatory components of obesity-induced asthma, offering a promising dual-target therapeutic strategy.

Association of preoperative coronavirus disease 2019 with mortality, respiratory morbidity and extrapulmonary complications after elective, noncardiac surgery: An observational cohort study

STUDY OBJECTIVE

To assess the impact of preoperative infection with the contemporary strain of severe acute respiratory coronavirus 2 (SARS-CoV-2) on postoperative mortality, respiratory morbidity and extrapulmonary complications after elective, noncardiac surgery.

DESIGN

An ambidirectional observational cohort study.

SETTING

A tertiary and teaching hospital in Shanghai, China.

PATIENTS

All adult patients (≥ 18 years of age) who underwent elective, noncardiac surgery under general anesthesia at Huashan Hospital of Fudan University from January until March 2023 were screened for eligibility. A total of 2907 patients were included.

EXPOSURE

Preoperative coronavirus disease 2019 (COVID-19) positivity.

MEASUREMENTS

The primary outcome was 30-day postoperative mortality. The secondary outcomes included postoperative pulmonary complications (PPCs), myocardial injury after noncardiac surgery (MINS), acute kidney injury (AKI), postoperative delirium (POD) and postoperative sleep quality. Multivariable logistic regression was used to assess the risk of postoperative mortality and morbidity imposed by preoperative COVID-19.

MAIN RESULTS

The risk of 30-day postoperative mortality was not associated with preoperative COVID-19 [adjusted odds ratio (aOR), 95% confidence interval (CI): 0.40, 0.13-1.28, P = 0.123] or operation timing relative to diagnosis. Preoperative COVID-19 did not increase the risk of PPCs (aOR, 95% CI: 0.99, 0.71-1.38, P = 0.944), MINS (aOR, 95% CI: 0.54, 0.22-1.30; P = 0.168), or AKI (aOR, 95% CI: 0.34, 0.10-1.09; P = 0.070) or affect postoperative sleep quality. Patients who underwent surgery within 7 weeks after COVID-19 had increased odds of developing delirium (aOR, 95% CI: 2.26, 1.05-4.86, P = 0.036).

CONCLUSIONS

Preoperative COVID-19 or timing of surgery relative to diagnosis did not confer any added risk of 30-day postoperative mortality, PPCs, MINS or AKI. However, recent COVID-19 increased the risk of POD. Perioperative brain health should be considered during preoperative risk assessment for COVID-19 survivors.

Association of triglyceride-glucose index with vascular risk factors and clinical outcomes among COVID-19 patients: a retrospective cross-sectional study in Mengo Hospital, Kampala, Uganda

Introduction

triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance. We assessed the association between triglyceride-glucose (TyG) index and vascular risk factors and clinical outcomes of critically ill adult COVID-19 patients.

Methods

data from the charts of all patients with a confirmed diagnosis of COVID-19 who were hospitalized at Mengo Hospital Uganda from December 2020 to August 2021 was used for this study. Data on demographics, past medical history, clinical presentation, laboratory findings and clinical outcomes within the first 10 days of admission was extracted. TyG index was calculated as Inverse (triglyceride (mg/dl) x fasting glucose level (mg/dl)/2 and defined vascular risk factors using standard methods. Bivariate and multivariate logistic regression was conducted to establish a significant association. Statistical significance was set at p< 0.05.

Results

out of 314 patients, 176 (56%) were females. The mean age ± SD was 58.2 years ± 16.82. The median TyG index was 9.76 (9.29-10.33). A high TyG index was found among 85.4% (n= 268, 95% CI: 0.809-0.889) of patients. Elevated total cholesterol was in 55.4% (n=174), triglycerides 70.7% (n=222), LDL 64.7% (n=203), blood glucose 80.6% (n=253), systolic blood pressure 43% (n=135) and 24.8% (n=78) diastolic blood pressure. The majority 49.7% ( n=156) were discharged, 22.0% (n=69) needed admission to the intensive care unit (ICU), 15.3% (n=48) died in the unit and 13.0% (n=41) had a composite outcome. The TyG index was significantly associated with glycated hemoglobin (AOR=1.029, 95%CI 0.561-1.496, p<0.001), low-density lipoprotein cholesterol (AOR=0.121,95%CI 0.023-0.219, p=0.016), high-density cholesterol (AOR=1.956, 95%CI 1.299-2.945, p=0.001), total cholesterol (AOR=2.177, 95%CI 1.5222-3.144, p<0.001, hospital death (AOR=0.778, 95%CI 0.623-0.972, p=0.028) and composite outcome (AOR=1.823, 95% CI 1.221-2.559, p=0.023). There was no association between hypertension and TyG index.

Conclusion

a high TyG index was associated with vascular risk factors and clinical outcomes.