This study aimed to investigate whether body mass index (BMI), waist circumference (WC), or waist to hip ratio (WHR) could be a better predictor of metabolic syndrome and, if so, what would be the cutoff points for these surrogates to appropriately differentiate metabolic syndrome in different age and sex subgroups. Methods. The present cross-sectional study was conducted on a sample of Isfahan Cohort Study (ICS). In total, 468 individuals (194 with and 274 subjects without metabolic syndrome) according to the National Cholesterol Education Program's Adult Treatment Panel III (ATP-III) criteria were selected. Anthropometric indices were measured and plotted using receiver-operating characteristic (ROC) curves. Results. According to ROC curve analysis, WC and WHR parameters were better indicators of metabolic syndrome compared to BMI in women, whereas in men WHR had a lower discriminating value compared to the other two parameters. Among these three anthropometric parameters, BMI had a lower sensitivity and WC and WHR both had a higher sensitivity for predicting metabolic syndrome in women compared with in men. The cut points for WC were nearly equal in men and women, 90.3 versus 90.0, respectively. Women had higher cut points for BMI (28.5 kg/m2) compared to men (26.0 kg/m2). Our results showed the highest sensitivity and specificity for WC cut points specially in women. To predict metabolic syndrome, we looked into optimal age-specific cut points for BMI, WC, and WHR. The results indicated that WC had the highest discriminating value compared to other indicators in the different age subgroups. The optimal cut points for all three parameters gradually increased with age. Conclusion. Our results demonstrated that regardless of gender and age variables, WC could be a preferred parameter for predicting metabolic syndrome compared to BMI and WHR in Iranian population.

Background: Novel coronavirus disease 2019 presents with fever, dry cough, fatigue, and shortness of breath in most cases; however, some rare manifestations in other organs have also been reported so far. Case presentation: Here, the case of a 69-year-old Iranian man with coronavirus disease 2019 is presented who suffered from frequent episodes of vasopressor-resistant hypotension during intensive care unit admission, which was finally attributed to the occurrence of acute adrenal insufficiency. Conclusions: As this is a rare complication, adrenal insufficiency might be easily overlooked. However, early detection of this disease among critically ill patients infected with coronavirus disease 2019 could be lifesaving, especially among those unresponsive to vasopressor agents.

Background: Coronavirus disease 2019 (COVID-19) has been widespread since late December 2019, with several symptoms related to the upper and lower respiratory system. However, its cardiac manifestations are less frequently studied. We aimed to analyze the available COVID-19 data on acute cardiac injury, using troponin and brain natriuretic peptide (BNP) levels. Methods: We performed a systematic review on Medline/PubMed, Scopus, and Google Scholar databases until March 25, 2020. Relevant records reporting the incidence of acute cardiac injury as well as troponin and BNP levels were collected from published peer-reviewed articles with further analysis according to the clinical status of the patients (severe, non-severe, and death). Results: Eleven records of 1394 individuals were included. The mean age of patients with acute cardiac injury was 56.6 ± 33.4 years (males: 54.3%). The incidence of acute cardiac injury was 15% (95% CI: 11, 20%). Further analysis revealed that dead or severe patients had significantly higher percentages of myocardial injury, compared to non-severe ones (peer-reviewed: 44%, 95% CI: 16, 74% vs. 24%, 95% CI: 15, 34% vs. 5%, 95% CI: 1, 12%, respectively). Mean total troponin was 10.23 pg/mL (95% CI: 5.98, 14.47), while 13% (95% CI: 8%, 18%) of patients had elevated levels. Mean BNP was 216.74 pg/mL (95% CI: 3.27, 430.20). Conclusion: Acute cardiac injury in COVID-19 patients is more frequent than what was expected at the beginning of the outbreak. Meanwhile, further studies are needed to investigate the utility of cardiac biomarkers as diagnostic and prognostic tools for long-term cardiac complications of this infection.

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Background Platelet-to-lymphocyte ratio (PLR) is an inflammation index suggested to have the prognostic capability in heart failure (HF). We sought to investigate the association of PLR with cardiovascular disease (CVD) mortality and creatinine (Cr) rise among Iranian individuals suffering from acute decompensated HF (ADHF). Methods This retrospective cohort study was in the context of the Persian Registry Of cardioVascular diseasE/Heart Failure (PROVE/HF) study. 405 individuals with ADHF admitted to the emergency department were recruited from April 2019 to March 2020. PLR was calculated by division of platelet to absolute lymphocyte counts and categorized based on quartiles. We utilized the Kaplan–Meier curve to show the difference in mortality based on PLR quartiles. Cr rise was defined as the increment of at least 0.3 mg/dl from baseline. Cox proportional hazard ratio (HR) was used to investigate the association of PLR with CVDs mortality. Results Mean age of participants was 65.9 ± 13.49 years (males: 67.7%). The mean follow-up duration was 4.26 ± 2.2 months. CVDs mortality or re-hospitalization was not significantly associated with PLR status. Multivariate analysis of PLR quartiles showed a minimally reduced likelihood of CVDs death in 2nd quartile versus the first one (HR 0.40, 95% confidence interval (CI) 0.16–1.01, P = 0.054). Cr rise had no remarkable relation with PLR status in neither model. Conclusion PLR could not be used as an independent prognostic factor among ADHF patients. Several studies are required clarifying the exact utility of this index.

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Background and aims The novel coronavirus disease 2019 (COVID-19) has rapidly spread through the whole globe. Since the beginning of the outbreak, some individuals were more likely to manifest more severe outcomes. Diabetic patients were of that sort; however, the severity of COVID-19 in prediabetic ones remained less identified. This study aimed to systematically review and conduct a meta-analysis of the previously published observational studies investigating the severity of COVID-19 in prediabetic patients. Methods Medline/PubMed, Scopus, EMBASE, Web of Science, Cochrane library, and google scholar databases were queried to identify relevant studies concerning prediabetes and serious COVID-19 outcomes. The Newcastle-Ottawa scale was used to assess the quality of the included studies. Odds ratio (OR) and 95% confidence interval (CI) were used to evaluate the likelihood of severe presentations in prediabetic patients. Results A total of 3027 patients were included in the meta-analysis. A random-effects model was used regarding the high heterogeneity ( I 2 = 55%). Prediabetes was significantly associated with adverse outcomes of COVID-19 with an OR of 2.58 (95%CI, 1.46–4.56). Conclusion Prediabetes could act as a risk factor for the severity of COVID-19. Early detection of prediabetic patients might be helpful to adopt preventive and protective strategies to improve the prognosis of the infected individuals.