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- 저자 : Afrashteh, Sima (검색결과 2 건)
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Kheiry, Fatemeh,Kargarian-Marvasti, Sadegh,Afrashteh, Sima,Mohammadbeigi, Abolfazl,Daneshi, Nima,Naderi, Salma,Saadat, Seyed Hossein The Korean Pediatric Society 2020 Clinical and Experimental Pediatrics (CEP) Vol.63 No.9
Background: Length of stay is a significant indicator of care effectiveness and hospital performance. Owing to the limited number of healthcare centers and facilities, it is important to optimize length of stay and associated factors. Purpose: The present study aimed to investigate factors associated with neonatal length of stay in the neonatal intensive care unit (NICU) using parametric and semiparametric models and compare model fitness according to Akaike information criterion (AIC) between 2016 and 2018. Methods: This retrospective cohort study reviewed 600 medical records of infants admitted to the NICU of Bandar Abbas Hospital. Samples were identified using census sampling. Factors associated with NICU length of stay were investigated based on semiparametric Cox model and 4 parametric models including Weibull, exponential, log-logistic, and log-normal to determine the best fitted model. The data analysis was conducted using R software. The significance level was set at 0.05. Results: The study findings suggest that breastfeeding, phototherapy, acute renal failure, presence of mechanical ventilation, and availability of central venous catheter were commonly identified as factors associated with NICU length of stay in all 5 models (P<0.05). Parametric models showed better fitness than the Cox model in this study. Conclusion: Breastfeeding and availability of central venous catheter had protective effects against length of stay, whereas phototherapy, acute renal failure, and mechanical ventilation increased length of stay in NICU. Therefore, the identification of factors associated with NICU length of stay can help establish effective interventions aimed at decreasing the length of stay among infants.
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Abolfazl Mohammadbeigi,Hamid Farahani,Esmail Moshiri,Mahbobeh Sajadi,Robabeh Ahmadli,Sima Afrashteh,Salman Khazaei,Hossein Ansari 대한남성과학회 2018 The World Journal of Men's Health Vol.36 No.1
Purpose: Metabolic syndrome (MS) is characterized by a collection of interdependent disorders, including abdominal obesity, dyslipidemia, hyperglycemia, hypertension, and diabetes. The current study aimed to estimate the prevalence of MS in Qom, Iran.Materials and Methods: A population-based screening program was conducted in the city of Qom, in 845 urban adult men over 25 years old in 2014. Abdominal obesity, fasting blood glucose (FBG), blood pressure, and the serum lipid profile were measured in subjects after fasting for at least 8 hours. MS was defined according to the Adult Treatment Panel III criteria. Data were analyzed using the chi-square test, t-test, and multiple logistic regression.Results: The overall prevalence of MS was 23.0%, and the most common prevalent metabolic abnormalities associated with MS were low high-density lipoprotein cholesterol (<40 mg/dL) in 34.3% of subjects, a waist circumference >102 cm in 33.9%, blood pressure ≥130/85 mmHg in 27.6%, fasting triglycerides (TG) ≥150 mg/dL in 25%, and FBG ≥110 mg/dL in 20.6%. A FBG level ≥110 mg/dL (odds ratio [OR]=4.85; 95% confidence interval [CI], 2.14∼8.24), dyslipidemia (OR=3.51; 95% CI, 2.10∼5.89), and a fasting TG ≥150 mg/dL were the most important factors contributing to MS. Conclusions: The prevalence of MS in men in Qom was higher than has been reported in other countries, but it was lower than the mean values that have been reported elsewhere in Iran. FBG was the most important factor contributing to MS, and all elements of the lipid profile showed important associations with MS.
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