Aims
This study aimed to determine a parameter to more easily diagnose metabolic syndrome and predict its probability of occurrence in high‐risk individuals.
Methods
In this cross‐sectional study, data related to the study population in the Kerman Coronary Artery Disease Risk Factor Study (KERCADRS) were examined. Subjects were divided into two groups with and without metabolic syndrome, and the relevant factors such as the ratios of uric acid to high‐density lipoprotein (HDL) (UHR) in these two groups were compared, and the best cut‐off point was determined.
Results
Data related to 817 people including 96 people with metabolic syndrome and 721 people without metabolic syndrome were analysed. The mean UHR was significantly higher in patients with metabolic syndrome (14.76 ± 6.33%) compared with those without metabolic syndrome (10.0 ± 3.10%) (p < .001). People with high UHR are 2.9 times more at risk of metabolic syndrome and the best cut‐off point was 9.50% with 86% sensitivity and 55% specificity.
Conclusions
According to our study, UHR is also helpful in diagnosing metabolic syndrome and can also be used to screen people at risk for metabolic syndrome.
: In late 2019, a novel coronavirus named COVID-19 led to a large outbreak in China and many other countries. A few cases of pneumonia in newborns and infants with COVID-19 infection have been reported. The neonates and infants described as the cases of COVID-19 had been asymptomatic or have had mild symptoms. The target of the current report is a 35-day-old male infant with respiratory distress and cyanosis. The chest x-ray CT images revealed manifestation of lung infection. The upper respiratory sampling was done by pharyngeal swab and the results confirmed the COVID-19 infection. Considering the positive test results and the severity of the respiratory distress, a complex medication treatment was administered. As a result, the symptoms alleviated, and the patient was discharged after complete remission on the 11th day. Although rare cases of COVID-19 infection in infants have been reported, the transmission of disease from affected persons to infants can happen. Therefore, further studies for early diagnosis and management of the COVID-19 in newborns and infants are necessary.
Background: Metabolic syndrome (MetS) is a global public health concern. Chronic inflammation plays a role in MetS; haematological inflammatory parameters can be used as MetS predicting factors. Objective: Hereditary and environmental factors play an important role in the development of MetS. This study aimed to determine the relationship between haematological parameters and MetS in the adult population of southeastern Iran, Kerman. Methods: This cross-sectional study was a sub-analysis of 1033 subjects who participated in the second phase of the Kerman Coronary Artery Disease Risk Factor Study (KERCADRS). Metabolic syndrome was diagnosed according to Adult Treatment Panel III (ATP III) definition. Pearson correlation coefficient was used to investigate the relationship between haematological parameters with age and components of metabolic syndrome. The role of WBC, neutrophil, lymphocyte and monocyte in predicting metabolic syndrome was evaluated using the receiver operating characteristic (ROC) curve.Results: White blood cell (WBC) and its subcomponent cells count, red cell distribution width (RDW), monocyte to HDL ratio (MHR) and Neutrophil to HDL ratio (NHR) had a significant positive correlation with the severity of MetS. The cut-off value of WBC was 6.1 (×10 3 /μL), the sensitivity was 70%, the specificity was 52.9% for females, the cut-off value of WBC was 6.3 (×10 3 /μL), the sensitivity was 68.2% and the specificity was 46.7%, for males.
Conclusion:WBC and its subcomponent count, RDW, MHR and NHR parameters are valuable biomarkers for further risk appraisal of MetS in adults. These markers are helpful in early diagnoses of individuals with MetS.
It has been suggested that severe SARS‐CoV‐2 infection could be a risk factor for Herpesviridae reactivation due to the state of sepsis‐associated immunosuppression. We presented the case of co‐infection of CMV and COVID‐19 infection in a 43‐year‐old woman with end‐stage renal disease.
Monogenic diabetes mellitus (eg, Wolcott‐Rallison syndrome) is a rare condition. It associates with neonatal or early‐infancy insulin‐dependent diabetes. We reported DKA in the four‐month infant as the first presentation of monogenic diabetes that has accelerated by COVID‐19 infection. Therefore, considering the concurrency of COVID‐19 and DKA is crucial.
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