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Aims Previous studies suggested that neck circumference (NC) as a new, simple, and valuable tool for the measuring obesity. However, the results of studies regarding the relationship between blood lipids and neck circumference were inconsistent. Therefore, we aimed to perform a systematic review and meta-analysis to summarize the association between NC and lipid profiles in adults. Methods and results PubMed and Scopus electronic databases were searched until 30 June 2018 to find articles that reported the association between NC and blood lipids. Mean serum lipids and variables contributed to heterogeneity were extracted. Sources of inter-study heterogeneity were determined by subgroup analysis. Of 2490 publications identi- fied, 33 studies were included in the qualitative and quantitative synthesis. We found an inverse correlation between NC and high-density lipoprotein cholesterol [HDL-C; overall Fisher's Z = -0.18; 95% confidence interval (CI): -0.21, -0.15]. Furthermore, we found positive associations between NC and total cholesterol (TC; overall Fisher's Z = 0.11; 95% CI = 0.06, 0.16), low-density lipoprotein cholesterol (LDL-C; overall Fisher's Z = 0.1; 95% CI = -0.04, 0.16), and triglyceride (TG; overall Fisher's Z = 0.21; 95% CI = 0.17, 0.25) in men. Neck circumference was directly correlated to TC (overall Fisher's Z = 0.1; 95% CI = 0.01, 0.19) and LDL-C (overall Fisher's Z = 0.16; 95% CI = 0.12, 0.20) in healthy and unhealthy women, respectively. There was no correlation between NC and serum concentration of TC (overall Fisher's Z = 0.01; 95% CI = -0.02, 0.03) and LDL-C (overall Fisher's Z = 0.09; 95% CI = 0.02, 0.16) in unhealthy and healthy women, respectively. Conclusion Higher NC in unhealthy men was strongly indirectly associated with HDL-C, and directly related to LDL-C, TG, and TC. In unhealthy women, higher NC was inversely associated with HDL and directly related to LDL-C. [ABSTRACT FROM AUTHOR]

The cumulative rate of death of acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has necessitated better recognizing the risk factors of the disease and the COVID-19-induced mortality. This cross-sectional study aimed to determine the potential risk factors that predict COVID-19-related mortality concentrating on the initial recorded laboratory tests. We extracted admission's medical records of a total of 136 deaths related to COVID-19 and 272 discharged adult inpatients (≥18 years old) related to four referral centers from February 24th to April 12th, 2020, in Isfahan, Iran, to figure out the relationship between the laboratory findings and mortality beyond demographic and clinical findings. We applied the independent sample t test and a chichi square test with SPSS software to compare the differences between the survivor and non-survivor patients. A P value of less than 0.05 was considered significant. Our results showed that greater length of hospitalization (P≤0.001), pre-existing chronic obstructive pulmonary disease (P≤0.001), high pulse rate, hypoxia (P≤0.001), and high computed tomography scan score (P<0.001), in addition to high values of some laboratory parameters, increase the risk of mortality. Moreover, high neutrophil/lymphocyte ratio (OR, 1.890; 95% CI, 1.074-3.325, P=0.027), increased creatinine levels (OR, 15.488; 95% CI, 0.801-299.479, P=0.07), and elevated potassium levels (OR, 13.400; 95% CI, 1.084-165.618, P=0.043) independently predicted in-hospital death related to COVID-19 infection. These results emphasized the potential role of impaired laboratory parameters for the prognosis of fatal outcomes in adult inpatients. [ABSTRACT FROM AUTHOR]