A Retrospective External Validation of the Cleveland Clinic Malignancy Probability Prediction Model for Indeterminate Pulmonary Nodules.

Objective: To perform a retrospective, multicenter, external validation of the Cleveland Clinic malignancy probability prediction model for incidental pulmonary nodules. Patients and Methods: From July 1, 2022, to May 31, 2023, we identified 296 patients who underwent tissue acquisition at Mayo Clinic (MC) (n=198) and Loyola University Medical Center (n=98) with histopathology indicating malignant (n=195) or benign (n=101). Data was collected at initial radiographic identification (point 1) and at the time of intervention (point 2). Point 3 represented the most recent data. The areas under the receiver operating characteristics were calculated for each model per time point. Calibration was evaluated by comparing the predicted and observed rates of malignancy. Results: The areas under the receiver operating characteristics at time points 1, 2, and 3 for the MC model were 0.67 (95% CI, 0.61-0.74), 0.67 (95% CI, 0.58-0.77), and 0.70 (95% CI, 0.63-0.76), respectively. The Cleveland Clinic model (CCM) was 0.68 (95% CI, 0.61-0.74), 0.75 (95% CI, 0.65-0.84), and 0.72 (95% CI, 0.66-0.78), respectively. The mean ± SD estimated probability for malignant pulmonary nodules (PNs) at time points 1, 2, and 3 for the CCM was 64.2±25.9, 65.8±24.0, and 64.7±24.4, which resembled the overall proportion of malignant PNs (66%). The mean estimated probability of malignancy for the MC model at each time point was 38.3±27.4, 36.2±24.4, and 42.1±27.3, substantially lower than the observed proportion of malignancies. Conclusion: The CCM found discrimination similar to its internal validation and good calibration. The CCM can be used to augment clinical and shared decision-making when evaluating high-risk PNs.

Waterpipe Use and Its Cardiovascular Effects: A Systematic Review and Meta-Analysis of Case-Control, Cross-Sectional, and Non-Randomized Studies.

Approximately 100 million people globally smoke cigarettes, making it a significant and quickly spreading global tobacco epidemic. Substance use disorders are frequently evaluated by non-randomized studies. Tobacco use and its impacts on the cardiovascular system were the subjects of a comprehensive search across five electronic databases: Cochrane, MEDLINE, Scopus, Embase, and PubMed. The findings demonstrated that waterpipe smokers in comparison to non-smokers have immediate elevations in heart rate and blood pressure, lower levels of high-density lipoprotein, higher levels of low-density lipoprotein, higher levels of triglycerides, higher levels of fasting blood glucose, and a higher heart rate. Users of waterpipes and cigarettes had similar average heart rates, blood pressure, and lipid levels, with the exception that waterpipe smokers had greater total cholesterol. Smoking a waterpipe has significant negative effects on the cardiovascular system comparable to cigarette smoking, and non-randomized studies proved to yield substantial evidence related to its cardiovascular effects. Such study designs can be used to evaluate substance use and its cardiovascular impact.

Anakinra in Heart Failure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Background: Heart failure (HF) has become increasingly difficult to manage given its increasing incidence. Despite the availability of novel treatment target relieving inhibition and congestions for neurohormonal activation, heart failure is one of leading health conditions associated with high hospitalization and readmission rates, resulting in poor quality of life. In light of this, this article serves to demonstrate the effect of anakinra as one of the treatment paradigms for HF to explore the need for advanced novel interventions. Methods: We conducted a search in five electronic databases, including Embase, MEDLINE, Cochrane, Scopus, and PubMed, for RCTs (randomized controlled trials) evaluating the effects of anakinra against placebo in HF. Meta-analysis was performed using RevMan version 5.4. Results: Eight RCTs were obtained and included for analysis in this study. The results demonstrate that anakinra significantly reduces the levels of CRP (C-reactive protein), with significant difference between anakinra- and placebo-treated groups. Analyses also show that CRP failed to cause an improvement in peak oxygen consumption and ventilatory efficiency. Additionally, the treatment-related adverse events were insignificant. Some considerable limitations are that the same set of researchers were involved in most of the studies; hence, more independent studies need to be encouraged. Conclusion: Anakinra was associated with a reduction in CRP levels, indicating some anti-inflammatory effects but no effect on function, exercise capacity, and adverse effects.

Emotional distress among health professionals involved in care of inpatients with COVID-19: a survey based cross-sectional study.

INTRODUCTION: Health care workers (HCWs) are directly involved in processes linked with diagnosis, management, and assistance of coronavirus disease-19 (COVID-19) patients which could have direct implications on their physical and emotional health. Emotional aspects of working in an infectious pandemic situation is often neglected in favour of the more obvious physical ramifications. This single point assessment study aimed to explore the factors related to stress, anxiety and depression among HCWs consequent to working in a pandemic. MATERIAL AND METHODS: This was a cross-sectional study involving healthcare workers who were working in COVID-19 inpatient ward, COVID-19 screening area, suspect ward, suspect intensive care unit (ICU) and COVID-19 ICU across four hospitals in India. A web-based survey questionnaire was designed to elicit responses to daily challenges faced by HCWs. The questionnaire was regressed using machine-learning algorithm (Cat Boost) against the standardized Depression, Anxiety and Stress Scale - 21 (DASS 21) which was used to quantify emotional distress experienced by them. RESULTS: A total of 156 participants were included in this study. As per DASS-21 scoring, severe stress was seen in ∼17% of respondents. We could achieve an R² of 0.28 using our machine-learning model. The major factors responsible for stress were decreased time available for personal needs, increasing age, being posted out of core area of expertise, setting of COVID-19 care, increasing duty hours, increasing duty days, marital status and being a resident physician. CONCLUSIONS: Factors elicited in this study that are associated with stress in HCWs need to be addressed to provide wholesome emotional support to HCWs battling the pandemic. Targeted interventions may result in increased emotional resilience of the health-care system.