Atherogenic index of plasma as a predictor of coronary artery disease: a cohort study in south of Iran.

BACKGROUND: Coronary artery disease (CAD) is an atherosclerotic disease of an inflammatory nature. Previous studies examining the relationship between triglycerides and high-density lipoprotein cholesterol have highlighted the importance of plasma atherogenic index (AIP) as an important predictor of coronary heart disease. However, due to the lack of adequate information on this topic, this study aimed to investigate the relationship between AIP and coronary heart disease risk. RESULTS: This study included 2,226 women and 1,690 men aged 35-70 years who participated in the Bandar Kong Cohort study and met the eligibility criteria. The data was collected using a checklist and questionnaires, which were designed by experienced individuals. After participants completed a registration form and gave informed consent, face-to-face interviews were conducted by trained experts. The validity and reliability of the questionnaire had been verified by the national cohort team prior to its use. The Ethics Committee of Hormozgan University of Medical Sciences (IR.HUMS.REC.1400.171) approved the study. Data from the initial cohort survey using SPSS software version 25, were analyzed to include several factors, including age, sex, smoking status, body mass index (BMI), physical activity level, socioeconomic status, AIP, systolic blood pressure, and diastolic blood pressure. The prevalence of coronary heart disease was found to be 7.5% higher in people with a BMI of 25 or higher. Also, Individuals with low physical activity had a higher prevalence. Individuals with CAD had significantly higher mean values for the AIP, age, systolic blood pressure, and diastolic blood pressure (0.46, 57.50, 128.43, and 81.10, respectively) compared to those without CAD. Furthermore, patients with CAD had lower years of education (2649.45 and 3.59) than individuals without CAD (P < 0.05). Importantly, our findings showed that AIP increased the odds ratio of coronary heart disease by 1.86 as an independent risk factor. CONCLUSIONS: Based on our investigation, the AIP is a valuable and independent predictive risk factor for coronary artery disease. This index can be utilized effectively due to its accessibility and affordability, making it a promising tool for risk assessment in clinical settings.

The association between dietary patterns and metabolic syndrome among Iranian adults, a cross-sectional population-based study (findings from Bandare-Kong non-communicable disease cohort study).

BACKGROUND: Metabolic syndrome is a cluster of metabolic disorders increasing the risk of cardiovascular disease and diabetes. Dietary patterns are supposed to be important and controllable factors in developing metabolic syndrome. The purpose of this study was to investigate the association of dietary patterns with metabolic syndrome and its components. SUBJECTS/METHODS: Cross-sectional data were extracted from the Bandare-Kong cohort study conducted on 4063 people aged 35 to 70. Dietary patterns were extracted using principal component analysis based on thirty-eight pre-defined food groups. Multivariable logistic regression was conducted to investigate the association between metabolic syndrome and its components with quintiles of dietary patterns in crude and adjusted models. RESULTS: Three major dietary patterns were identified (healthy, western, and traditional) in the final analysis of 2823 eligible individuals. After adjusting for covariates, the odds of metabolic syndrome were significantly decreased by 46% in subjects with the highest adherence to the healthy dietary pattern compared to those with the lowest adherence quintile. Results from fully adjusted models on individual metabolic syndrome components showed an inverse association between higher adherence to the healthy dietary pattern and the odds of increased blood glucose, high waist circumference, and elevated blood pressure. However, in fully adjusted models, no significant association was observed between the western and traditional dietary patterns with odds of metabolic syndrome and its components. CONCLUSIONS: Adherence to a healthy dietary pattern containing high amounts of fruits, vegetables, nuts, low-fat dairy products, and legumes, could be recommended to prevent and control metabolic syndrome.

Reference Interval for Non-HDL-Cholesterol, Remnant Cholesterol and Other Lipid Parameters in the Southern Iranian Population; Findings From Bandare Kong and Fasa Cohort Studies.

BACKGROUND: Growing evidence shows the undisputable role of non-HDL-C and remnant cholesterol (remnant-C) in cardiovascular disease (CVD) risk assessment and treatment. However, the reference interval (RI) for these lipid parameters is not readily available. The aim of the present investigation was to determine the age and sex-specific RIs for non-HDL-C and remnant-C as well as other lipid parameters among a healthy population in southern Iran. We also report the RI of lipid parameters in rural and urban residents, smokers and post-menopausal women. METHODS: Among 14063 participants of Bandare Kong and Fasa cohort studies, 792 healthy subjects (205 men and 578 women) aged 35-70 years were selected. Fasting blood samples were used for determination of total cholesterol (TC), triglycerides (TG) and HDL-C using colorimetric methods. Non-HDL-C and remnant-C were calculated using the valid formula. The 2.5th and 97.5th percentiles were calculated and considered as RI. RESULTS: In the total population (n=792, age 35-70), RIs for non-HDL-C and remnant-C was 74.0-206.8 and 8.0-52.7 mg/dL, respectively. Age (35-44 and≥45 years) and gender-specific RIs for serum non-HDL-C and remnant-C were determined. Remnant-C and non-HDL-C level were different between sex and age categories. The mean value of all lipid parameters except HDL-C was higher in men, urban residents, subject with age≥45 years and smokers. CONCLUSION: This is the first study in which the RIs for non-HDL-C and remnant-C in southern Iran are reported. This may help physicians to conveniently use these lipid parameters for patient care and better cardiovascular risk assessment.

Cellular senescence molecules expression in type 2 diabetes mellitus: CDKN2A, CDKN2B, and lncRNA ANRIL.

AIMS: Cellular senescence in type 2 diabetes mellitus (T2DM) has received widespread attention. However, the cellular senescence molecules involved in T2DM are unclear. Furthermore, there are no consistent biomarkers for cellular senescence in T2DM. Therefore, this study aimed to identify cellular senescence molecules in T2DM and investigate their expression in peripheral blood mononuclear cells of individuals with T2DM. METHODS: Patients with T2DM (n = 40) and healthy controls (n = 40) were enrolled. We used different databases to identify cellular senescence molecules in T2DM and confirmed the obtained genes and lncRNA using real-time PCR. RESULTS: Bioinformatics analysis indicated that CDKN2A and CDKN2B genes, and long noncoding RNA ANRIL are the most effective cellular senescence molecules in T2DM. Furthermore, CDKN2A and ANRIL expression decreased in individuals with T2DM. CONCLUSIONS: Cellular senescence may have a protective effect against T2DM. In addition, the cellular senescence molecules CDKN2A and ANRIL may be potential biomarkers of cellular senescence in T2DM.

Development of a Modified Friedewald's Formula to Calculate Low-Density Lipoprotein in an Iranian Population.

Background: Elevated low-density lipoprotein cholesterol (LDL-C) is a significant risk factor for cardiovascular diseases. LDL-C can be directly measured using various methods, but this requires expensive equipment. Currently, clinical laboratories estimate LDL-C based on Friedewald's formula (FF). We aimed to develop a modified formula based on directly measured LDL-C (D-LDL-C) values in a large population in Southern Iran and compare the results with various other estimation formulas. Methods: The participants of this cross-sectional study were adults aged >18 years living in Southern Iran. Blood samples from 15,200 individuals were collected, and the measured lipid parameters were randomly divided into training (n=10,184) and validation (n=5,016) datasets. A new formula was developed using a linear regression model, and its accuracy was validated. Pearson's correlation and Cohen's kappa were used to determin the relationship between D-LDL-C and calculated LDL-C (C-LDL-C). Results: The developed formula for the estimation of LDL-C was 0.857 total cholesterol (TC)-0.915 high-density lipoprotein cholesterol (HDL-C)-0.115 triglycerides (TG). Based on our proposed formula, for TG<150 and TG≥150 mg/dL, there was a significant correlation between mean values of D-LDL-C and C-LDL-C (r=0.985 and r=0.974, respectively). Compared to other formulas, C-LDL-C obtained from the proposed formula had the highest correlation with D-LDL-C. The agreement between D-LDL-C and C-LDL-C for TC<200, 200-239, and ≥240 mg/dL was 80.8%, 63.2%, and 67.4%, respectively, indicating a higher level of agreement than other formulas. Conclusion: The new formula appears to be more accurate than FF when applied to the population of Southern Iran.

The effect of topical olive oil dressing on the healing of grade 1 and 2 diabetic foot ulcers: An assessor-blind randomized controlled trial in type 2 diabetes patients.

BACKGROUND AND AIMS: We aimed to compare the effect of topical olive oil dressing plus standard care with standard care alone on the treatment of grade 1 and 2 diabetic foot ulcers (DFUs) in type 2 diabetes mellitus (T2DM) patients. METHODS: This assessor-blind randomized controlled trial included 60 T2DM patients with DFU referred to the Diabetes Clinic of Shahid Mohammadi Hospital, Bandar Abbas, Iran, from February 21 to August 22, 2017. Patients were randomly assigned to intervention (n = 30) and control (n = 30) groups. The intervention group received standard care, including wound irrigation with normal saline and oral antibiotics plus daily topical olive oil dressing for four weeks, and the control group only received standard care. The wound healing assessment scale (wound degree, color, drainage, and surrounding tissue healing) was recorded weekly and the total wound status was determined at the end of the study. RESULTS: Treatment with olive oil led to significantly higher scores of ulcer degree, color, drainage, and surrounding tissue healing at weeks one, two, three and four in the olive oil group than in the control group (P < 0.001). Also, the total wound status score was higher in the olive oil group compared to the control group (P < 0.001). The proportions of completely healed, partially healed, and unhealed wounds were 76.6%, 23.3% and 0% in the intervention group, and 0%, 93.3% and 6.7% in the control group, respectively. CONCLUSIONS: Topical olive oil dressing promoted the healing of DFU and it can be recommended as a safe and effective treatment in this regard. TRIAL REGISTRATION: Iranian Registry of Clinical Trials (IRCT), IRCT20150607022585N4. Registered 05/12/2018. Retrospectively registered, https://www.irct.ir/trial/19460.

Cut-off points for anthropometric indices to screen for hypertension among Iranian adults of the Bandare-Kong cohort: a cross-sectional study.

BACKGROUND: Obesity is one of the major determinants of blood pressure. This study aimed to determine the optimal sex- and age-specific cut-off points of anthropometric indices, including body mass index (BMI), waist circumference (WC), hip circumference (HC), wrist circumference (WrC), waist-hip ratio (WHR), and waist-height ratio (WHtR), to screen for hypertension (HTN) in a cohort of Iranian adults aged 35 to 70 years, and to compare the predictive performance of the indices based on receiver operating characteristic (ROC) curves. METHODS: This population-based study was carried out on the participants aged 35 to 70 years of the Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study, a part of the Prospective Epidemiological Research Studies in IrAN (PERSIAN). Using the area under the receiver operating characteristic curve (AUC) and Youden's J index, optimal sex- and age-specific cut-off points of the anthropometric indices in association with HTN were calculated. RESULTS: This study included a total of 2256 females and 1722 males. HTN was diagnosed in 736 females (32.6%) and 544 males (31.6%). The optimal cut-off of WC for HTN was 90 cm in males and 95 cm in females, with an area under the ROC curve (AUROC) of 0.60 and 0.64, respectively. For HC, the optimal cut-off was 95 cm for males and 108 cm for females (AUROC = 0.54 for both). Moreover, WrC optimal cut-offs were 17 cm for males (AUROC = 0.56) and 15 cm for females (AUROC = 0.57). As for BMI, the optimal cut-off was 25 kg/m2 in males and 27 kg/m2 in females (AUROC of 0.59 and 0.60, respectively). Also, a cut-off of 0.92 was optimal for WHR in males (AUROC = 0.64) and 0.96 in females (AUROC = 0.67). On the other hand, WHtR optimal cut-offs were 0.52 for males and 0.60 for females (AUROC of 0.63 and 0.65, respectively). CONCLUSIONS: WHR and WHtR, as anthropometric indices of obesity, were demonstrated to be significant predictors of HTN. Further, we suggest using WHR (cut-off point of 0.92 for males and 0.96 for females) and WHtR (cut-off point of 0.52 for males and 0.60 for females) as measures of preference to predict HTN among the southern Iranian population. Further multicenter longitudinal studies are recommended for a more accurate prediction of HTN.

Pre-diabetes, Diabetes Mellitus and Related Cardio-metabolic Risk Factors in the Southern Coastal Region of Iran Middle-aged and Elderly Population; Bandare-Kong Cohort Study.

BACKGROUND: To evaluate the prevalence of type 2 diabetes mellitus (T2DM), impaired fasting glucose (IFG), and its cardio-metabolic risk factors in the southern Iranian adult population. METHODS: This is a population-based cross-sectional survey on 3944 middle-aged and elderly adults (35-70 years) from Bandare-Kong. The participants were recruited from 2016 to 2018 and the first phase data of the Bandare-Kong Cohort as a part of the PERSIAN Cohort were used for analysis. RESULTS: Among the 3944 included adults, the age-adjusted prevalence of T2DM and IFG was 17.40% and 20.61%, respectively. Mean FPG was higher among those older than 55 years, females, rural residents, current cigarette smokers, hypertriglyceridemia, hypercholesterolemia, unemployed and low educational level in subjects with diabetes and pre-diabetes. T2DM and IFG were more prevalent in women and men, respectively. Also, those with higher waist circumference (WC), higher body mass index (BMI), lower educational levels, rural residents, former cigarette smokers, hypertension (HTN), hypercholesterolemia, hypertriglyceridemia and age older 45 years, had a higher T2DM and IFG prevalence. Multivariable regression analysis showed that older age, higher WC, HTN and hypertriglyceridemia and living in rural regions were statistically significant predictors of T2DM and pre-diabetes while BMI≥25 kg/m2 was the only significant risk factor for IFG. CONCLUSION: The current study illustrated that T2DM and IFG have a high prevalence among the middle-aged and elderly adult Iranian population, particularly in rural dwellers. Hence, prevention strategies should be implemented to reduce diabetes and pre-diabetes, especially in rural areas.

Association of Serum Level and DNA Methylation Status of Brain-Derived Neurotrophic Factor with the Severity of Coronary Artery Disease.

New investigations suggest a pivotal role of brain-derived neurotrophic factor (BDNF) in cardiovascular homeostasis. However, no data could indicate the association between BDNF methylation status and the risk of coronary artery disease (CAD). The aim of the present study was to assess the association of BDNF methylation status and its serum level with the severity of CAD. According to the angiography report, a total of 84 non-diabetic CAD patients with at least 50% stenosis in one of the major coronary arteries were selected as the CAD group. For comparison, 62 angiographically proven non-CAD participants were selected as control. Additionally, subjects were categorized according to the Gensini Scoring system. Blood sample was used for genomic DNA isolation. Methylation status of the BDNF gene in exonic region was determined using the MS-PCR method and serum BDNF levels were measured with ELISA. BDNF gene methylation was significantly higher in the CAD group than in the non-CAD group. After adjustment for confounding factors, BDNF gene hypermethylation increases the risk of CAD in the total population (OR = 2.769; 95% CI, 1.033-7.423; P = 0.043). BDNF gene hypermethylation was higher in patients with severe CAD than patients with mild CAD. Additionally, the serum BDNF level was not different from non-diabetic CAD and control groups. Our findings indicate that BDNF hypermethylation was associated with an increased risk of CAD, which may help identify subjects being at the risk of developing CAD. In addition, BDNF hypermethylation shows a significant correlation with the severity of CAD.

Metabolic syndrome severity score in the middle-aged and elderly Iranian population: A cross-sectional survey of Bandare-Kong Cohort Study (the findings of PERSIAN Cohort Study).

Background: Metabolic syndrome (MetS) is defined as the presence of several metabolic risk factors. The traditional MetS criteria have been considered insufficient for evaluating individuals at risk. MetS has always been categorized using binary criteria, which deny that the risk associated with MetS is likely to exist as a continuum. Also, MetS may present differently depending on age, sex, race, or ethnicity. We aimed to derive age-sex-specific equations for MetS severity scores within a southern Iranian population. Methods: This study used first-phase data from the Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study as part of the Prospective Epidemiological Research Studies in IrAN (PERSIAN). After exclusion of the pregnant women, diabetic patients, and individuals taking antihypertensive, antihyperlipidemic, and antidiabetic medications, 2,735 individuals aged 35 to 70 years were selected for analysis. The diagnosis of MetS was based on the National Cholesterol Education Program (NCEP) criteria for the Iranian population. Confirmatory factor analysis (CFA) was performed to formulate MetS severity scores. The receiver operating characteristic (ROC) analysis was performed to validate MetS severity score equations for age-sex-specific categories. Results: Triglyceride had the highest factor loading range in all age-sex categories for determining the MetS severity score. Conversely, systolic blood pressure and fasting plasma glucose (FPG) exhibited the lowest factor loadings across all age-sex groups. In both sexes, when age was considered, systolic blood pressure and FPG factor loadings were less significant among subjects aged ≥45 and 35-44 years, respectively. Conclusion: MetS severity scores might be more applicable than the current criteria of MetS. Prospective population-based studies should be conducted to assess the accuracy and validity of the MetS severity score for predicting cardiometabolic diseases.

Prevalence of metabolically unhealthy obesity, overweight, and normal weight and the associated risk factors in a southern coastal region, Iran (the PERSIAN cohort study): a cross-sectional study.

BACKGROUND: Obesity is a substantial risk factor for cardiovascular and metabolic diseases. Epidemiologic studies have shown that some obese and overweight individuals are metabolically healthy. We aimed to determine the prevalence of metabolically unhealthy obesity (MUO), metabolically unhealthy overweight (MUOW), and metabolically unhealthy normal weight (MUNW) in a southern coastal area of Iran, Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study. METHODS: This population-based study included the participants of BKNCD, as part of the Prospective Epidemiological Research Studies in IrAN (PERSIAN). Metabolic health was defined as not fulfilling the metabolic syndrome (MetS) criteria. RESULTS: Among the 3917 participants in this study with the mean age of 48.29 ± 9.39 years, including 1691 (43.2%) males, the age- and sex-standardized prevalence of MUO, MUOW, and MUNW was 13.9, 16.8, and 6.4%, respectively. Binary logistic regression analysis revealed that the adjusted odds of all metabolically unhealthy states were higher in older age groups, except for MUO whose adjusted odds were lower in the 65-70 age group compared to the 55-64 age group. Illiteracy was significantly correlated with MUOW (adjusted OR: 1.43, 95% CI 1.09-1.87, P = 0.010); however, it was not associated with MUO or MUNW. Higher body mass index (BMI) was significantly correlated with MUNW but it was not associated with MUOW or MUO. Higher waist circumference (WC) was also significantly associated with all metabolically unhealthy states. CONCLUSION: The age- and sex-standardized prevalence of MUO, MUOW, and MUNW was 13.9, 16.8, and 6.4%, respectively in the current study. Advanced age and higher WC were significantly correlated with all metabolically unhealthy states, while illiteracy and higher BMI were only associated with MUOW and MUNW, respectively. Metabolic health rather than weight loss should be the focus and objective of public prevention programs.

Gastrointestinal implications in COVID-19.

BACKGROUND: Coronavirus disease 2019 (COVID-19 patients mostly present with respiratory symptoms; however, gastrointestinal (GI) manifestations can also be seen either alone or along with respiratory symptoms. We aimed to evaluate the GI symptoms related to COVID-19. METHODS: This cross-sectional study retrospectively evaluated the medical files of 507 patients with confirmed or highly probable COVID-19. Based on their symptoms, patients were categorized into four groups: with GI symptoms alone (GIA), with respiratory symptoms alone (RA), with both GI and respiratory symptoms (GIR), and without GI or respiratory symptoms (WGIR). RESULTS: Of the 507 COVID-19 patients, 47.9% had at least one GI symptom; the most common was nausea and/or vomiting (31.6%). Patients in the GIA group were significantly older than those in the RA (P = 0.041) and GRI (P = 0.004) groups (54.70 ± 18.14 vs. 48.68 ± 14.67 and 46.80 ± 17.17 years, respectively). Groups were homogeneous with respect to gender. Leukopenia and lymphopenia were both less frequent in patients with GI symptoms compared to those without GI symptoms. Positive RT-PCR was significantly less frequent among patients with GI symptoms (44% vs. 100%, P < 0.001). Although mortality was lower in patients with GI symptoms (9.1%) in comparison with those without GI symptoms (13.3%), the difference was not statistically significant (P = 0.134). CONCLUSION: The typical respiratory symptoms of COVID-19 are quite commonly accompanied by GI symptoms, with nausea and/or vomiting being the most prevalent. A subgroup of COVID-19 patients may exclusively present with GI symptoms. Special attention should be paid to these patients in order to avoid misdiagnosis or delayed treatment.

The association of sleep duration and metabolic syndrome in the Bandare-Kong cohort study, a cross-sectional survey (finding from PERSIAN cohort study).

BACKGROUND: A variety of health problems, such as metabolic syndrome (MetS), have been linked to sleep disorders. While numerous epidemiological studies have shown a U-shaped relationship between sleep duration and poor health outcomes, the results were limited and inconsistent. This study was designed to evaluate the relationship between sleep duration and MetS. METHODS: This population-based study was conducted on the participants aged 35-70 of Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study, a part of Prospective Epidemiological Research Studies in IrAN (PERSIAN). MetS was diagnosed according to the National Cholesterol Education Program (NCEP) criteria and the Iranian-specific cut-off for waist circumference (≥ 95 cm). Sleep information was extracted through a standard questionnaire based on self-reported information. Data were analyzed by R software using generalized additive models (GAMs). A statistically significant level was considered as P < 0.05. RESULTS: A total of 3695 participants were included in the analyses. The mean age was 48.05 years (SD 9.36), and 2067 (55.9%) were female. The estimated Prevalence of MetS was 35.9%, and women appeared to be more likely to have MetS than men (P < 0.001). There was a non-linear and linear association between sleep duration and the risk of MetS in women and men, respectively. The lowest risk was observed among those with 7-7.5 h of sleep duration per night. CONCLUSION: Long sleep duration was associated with increased risk of MetS and higher MetS severity score in both genders, while the short sleep duration increased the risk of Mets as well as MetS severity score just in women. The longitudinal studies would be suggested to assess the relationship between sleep quality and quantity components and MetS.

Nationwide Prevalence of Diabetes and Prediabetes and Associated Risk Factors Among Iranian Adults: Analysis of Data from PERSIAN Cohort Study.

INTRODUCTION: Over the past decades prevalence of diabetes has increased in Iran and other countries. This study aimed to update the prevalence of diabetes and prediabetes in Iran and to determine associated sociodemographic risk factors, as well as diabetes awareness and control. METHODS: This is a nationally representative cross-sectional survey that included 163,770 Iranian adults aged 35-70 years, from different ethnic backgrounds, between 2014 and 2020. Diabetes was diagnosed at fasting blood sugar of ≥ 6.99 mmol/L (126 mg/dL), or receiving blood glucose-lowering treatment. Multivariable logistic regression was applied to detect determinants associated with prevalence of diabetes and prediabetes, as well as predictors of diabetes awareness and glycemic control. RESULTS: Sex- and age-standardized prevalence of diabetes and prediabetes was 15.0% (95% CI 12.6-17.3) and 25.4% (18.6-32.1), respectively. Among patients with diabetes, 79.6% (76.2-82.9) were aware of their diabetes. Glycemic control was achieved in 41.2% (37.5-44.8) of patients who received treatment. Older age, obesity, high waist to hip ratio (WHR), and specific ethnic background were associated with a significant risk of diabetes and prediabetes. Higher awareness of diabetes was observed in older patients, married individuals, those with high WHR, and individuals with high wealth score. Moreover, glycemic control was significantly better in women, obese individuals, those with high physical activity, educational attainment, and specific ethnic background. CONCLUSIONS: The prevalence of diabetes and prediabetes is increasing at an alarming rate in Iranian adults. High proportion of uncontrolled patients require particular initiatives to be integrated in the health care system.

Clinical features of 50 cases of 2019 novel coronavirus in Bandar Abbas, Iran.

Background: There is sparse information to describe the clinical features and outcomes of patients infected with coronavirus disease 2019 (COVID-19). Methods: In a single-center retrospective observational study, 50 patients infected with COVID-19 were studied. Epidemiological, demographic, clinical, laboratory, radiological, and treatment data were collected and analyzed. Outcomes of critically ill patients and noncritically ill patients were compared. Results: The mean age of the patients was 48.8 years, with male predominance. Dry cough, fever, and dyspnea were the most complaining symptoms on admission. Chronic medical illnesses before admission were present in 56% of the patients. The most common laboratory abnormalities were lymphopenia, neutrophilia, thrombocytopenia, increased aspartate aminotransferase, high serum creatinine level, elevated lactate dehydrogenase, and increasing ESR and CRP levels. Bilateral mixed ground-glass opacity and consolidation were observed in chest CT scan of most patients. Some patients required supplemental oxygen and some needed invasive mechanical ventilation. Blood oxygen saturation was different between survivors and nonsurvivors. 10% of patients died, of whom 60% were men. 40% of dead cases had chronic medical illnesses; 60% underwent invasive mechanical ventilation. Conclusion: Among the patients diagnosed with COVID-19 infection, the frequent clinical presentation was with a wide range of signs and symptoms. The laboratory changes suggest that COVID-19 infection may be related to cellular immune deficiency, myocardial, hepatic, and kidney injury. Additional research is needed to elucidate COVID-19 pathogenesis.

A Pediatric Parathyroid Carcinoma: An Unusual Clinical Presentation and Mini-review.

INTRODUCTION: Primary hyperparathyroidism (PHPT) is a rare condition in the pediatric population. Parathyroid carcinoma (PC) is a very uncommon cause of PHPT, accounting for < 1% of pediatric PHPT cases. It is challenging to distinguish between parathyroid adenoma (PA), the most common cause of PHPT, and PC. In this report, we described a young female who presented with a history of progressive limping and was finally diagnosed with PC. CASE PRESENTATION: A 15-year-old girl presented with progressive limping and bone pain for 8 years. She was referred by an orthopedic surgeon because of elevated intact parathyroid hormone (iPTH) for further evaluation. Physical examination revealed a large, firm, and non-tender neck mass, left hip tenderness, and limited range of motion. The initial biochemistry tests showed a borderline high calcium level of 10.8 mg/dl, an elevated iPTH level of 2876 pg/mL, and a decreased phosphorus level of 2.4 mg/dL. The 99mTechnetium (Tc) sestamibi scan displayed early intense activity in the right thyroid lobe persisting in the three-hour repeat scan, compatible with a parathyroid lesion. The patient underwent right-sided neck exploration and parathyroidectomy. Intraoperative and pathology findings confirmed the diagnosis of PC. Immunohistochemistry (IHC) staining revealed creatine kinase (CK) and CD31 in endothelial cells of the tumor. Ki67 staining was also positive in 2% - 3% of tumor cells. The whole exome sequencing (WES) study was negative for cell division cycle 73 (CDC73) and multiple endocrine neoplasia 1 (MEN1) genes. CONCLUSIONS: PC should be considered as a differential diagnosis of PHPT in the pediatric population, even in the presence of mild hypercalcemia.

Dyslipidemia and its associated factors in southern Iranian women, Bandare-Kong Cohort study, a cross-sectional survey.

Dyslipidemia, a major risk factor for cardiovascular diseases, has become a global issue. Due to the variations in the prevalence of dyslipidemia, this study aimed to evaluate dyslipidemia and its associated factors in women of the Bandare-Kong Cohort Study (BKNCD). This study was conducted on women from the population-based BKNCD, as part of the Prospective Epidemiological Research Studies in IrAN (PERSIAN). Sociodemographic data, medical history, and anthropometric indices were collected. Dyslipidemia was defined as any lipid abnormality including low-density lipoprotein (LDL) ≥ 160, total cholesterol (TC) ≥ 240, high-density lipoprotein (HDL) < 40, or triglyceride > 200 mg/dl. From the 2223 women in this study (mean age: 48.28 ± 9.26 years), dyslipidemia was observed in 851 (38.3%). High TC was the most common lipid abnormality (18.5%) followed by high LDL (17.7%). Dyslipidemia was most prevalent among women aged 55-70 years, the married, those with < 6 years of education, the unemployed, the overweight or obese, with low socioeconomic status, diabetes, hypertension, and high waist circumference, those using the hookah and living in urban areas. Logistic regression revealed that women with high waist-to-hip ratio (WHR) (OR = 2.22, 95% CI 1.60-3.08), those aged 45-54 years (OR = 1.34, 95% CI 1.07-1.68) and 55-70 years (OR = 1.33, 95% CI 1.03-1.72), and those living in urban areas (OR = 1.35, 95% CI 1.05-1.73) were at significantly increased risk of dyslipidemia. In addition, the results were confirmed using deep neural network models. Dyslipidemia was highly prevalent in Iranian women in the southern coastal region. Central obesity, age over 45 years, and living in urban areas appear to be relatively significant risk factors for dyslipidemia among women.

TLR4 Polymorphisms (896A>G and 1196C>T) Affect the Predisposition to Diabetic Nephropathy in Type 2 Diabetes Mellitus.

PURPOSE: Type 2 diabetes mellitus (T2DM) is a disease with a steadily increasing incidence throughout the world. Some molecules regulating the innate immune responses such as toll-like receptor 4 (TLR4) have shown to be involved in late diabetic complications. This study aimed to investigate the association of TLR4 gene polymorphisms with clinicopathological aspects of T2DM in the Iranian population. PATIENTS AND METHODS: Two TLR4 896A>G and 1196C>T polymorphisms were assessed in 100 T2DM patients and 100 healthy controls using sequence-specific primers PCR. Demographic, anthropometric, and biochemical parameters were obtained from the participants. RESULTS: After logistic regression, in 1196C>T, a significant association was shown between diabetic nephropathy (DN) and CT genotype (P= 0.04, OR= 4.35, CI= (1.04-18.1)). TG level has increased significantly in both T2DM and control subjects with CT genotype (P= 0.027, OR= 1.005, 95% CI= (1.001-1.01)). For 896A>G variant, a significant association was also detected between AG genotype and increased oral glucose tolerance test (OGTT) level (P= 0.048, OR= 1.003, 95% CI= (1.00-1.005)). CONCLUSION: Although minor alleles of 1196C>T and 896A>G variants have not directly been associated with type 2 diabetes, by involving in the dysregulation of serum TG and blood sugar levels, they might increase the risk of DN.

New modified Friedewald formulae for estimating low-density lipoprotein cholesterol according to triglyceride levels: extraction and validation.

PURPOSE: The most commonly used method for estimating low-density lipoprotein cholesterol (LDLC) is Friedewald formula (FF). This study aims to extract and validate new modified Friedewald formulae for estimating LDLC according to triglyceride (TG) levels in Iranians. METHODS: Total cholesterol (TC), high-density lipoprotein cholesterol (HDLC), LDLC, and TG were measured in 5030 fasted subjects. The original FF was used for estimating LDLC. Data were divided into training and validation data sets. For extracting modified Friedewald formulae, linear regression was used with TG as independent and TC, HDLC, and directly measured LDLC (D-LDLC) as dependent variables, respectively. An overall modified formula was extracted for TG concentrations <400 mg/dL. The specific modified formulae were extracted for different TG categories. The performance of the modified formulae was assessed in the validation data set. RESULTS: The overall derived formula for calculating LDLC was M-LDLC = TC-HDLC-TG/4. The coefficients of TG (specific TG terms) in modified formulae were 2.7, 3.7, 4.6, and 5 for TG <100, 100-200, 200-300, and 300-400 mg/dL, respectively. Compared to the original FF, applying a new modified formula with TG/4 to a validation data set provided a less mean difference (4.03 vs. 10.86 mg/dL), greater kappa coefficient (0.691 vs. 0.505), and better subject classification (80.8 vs. 67.1%). After applying modified formulae with specific TG terms, the difference between M-LDLC and D-LDLC decreased to 1.41 mg/dL. CONCLUSIONS: Modified formulae were developed and validated for LDLC estimation that compared to the original FF, provided more accurate estimation of LDLC and better classification of subjects. These findings shall be useful for preventive, diagnostic, and therapeutic purposes.

Anti-cancer Effects of Metformin: Recent Evidences for its Role in Prevention and Treatment of Cancer.

BACKGROUND: Metformin is widely used for management of Type 2 Diabetes Mellitus (T2DM). Recently growing evidences have shown its anti-cancer effects. The results are mainly from observational studies and thus few information is available concerning the mechanisms of action. METHOD: This paper reviews recent available evidences for anti-cancer effects of metformin. The effects of metformin in specific cancers including colorectal, prostate, pancreatic, renal, cervical, endometrial, gastric, lung, breast, and ovarian cancer are reviewed. RESULTS: Adenosine Monophosphate (AMP)-Activated Protein Kinase (AMPK) plays an important role in mechanism of action of metformin. The anti-cancer mechanisms of metformin include direct and indirect effects. The direct effects of metformin include AMPK-independent and AMPK-dependent effects whereas decrease in glucose level, hyperinsulinemia, and Insulin-like Growth Factor 1 (IGF-1) level are considered its indirect effects. Metformin also decreases both pro-inflammatory cytokines and Nuclear Factor kappa-light-chain-enhancer of activated B cells (NF- κB) and improves the immune response to cancer cells. CONCLUSION: Although the results of recent trials confirm the efficacy of metformin in prevention and treatment of different cancers, the evidences are not adequate enough.