OBJECTIVES: Predicting the length of stay (LOS) of patients in a hospital is important in providing them with better services and higher satisfaction, as well as helping the hospital management plan and managing hospital resources as meticulously as possible. We propose applying data mining techniques to extract useful knowledge and draw an accurate model to predict the LOS of heart patients. METHODS: Data were collected from patients with coronary artery disease (CAD). The patient records of 4,948 patients who had suffered CAD were included in the analysis. The techniques used are classification with three algorithms, namely, decision tree, support vector machines (SVM), and artificial neural network (ANN). LOS is the target variable, and 36 input variables are used for prediction. A confusion matrix was obtained to calculate sensitivity, specificity, and accuracy. RESULTS: The overall accuracy of SVM was 96.4% in the training set. Most single patients (64.3%) had an LOS < or =5 days, whereas 41.2% of married patients had an LOS >10 days. Moreover, the study showed that comorbidity states, such as lung disorders and hemorrhage with drug consumption have an impact on long LOS. The presence of comorbidities, an ejection fraction <2, being a current smoker, and having social security type insurance in coronary artery patients led to longer LOS than other subjects. CONCLUSIONS: All three algorithms are able to predict LOS with various degrees of accuracy. The findings demonstrated that the SVM was the best fit. There was a significant tendency for LOS to be longer in patients with lung or respiratory disorders and high blood pressure.
Comorbidity ; Coronary Artery Disease ; Coronary Vessels ; Data Mining ; Decision Trees ; Heart ; Hemorrhage ; Humans ; Hypertension ; Insurance ; Length of Stay ; Lung ; Sensitivity and Specificity ; Social Security ; Support Vector Machine

OBJECTIVE: Letrozole and estradiol valerate are used to treat some hormonally-responsive symptoms and also in modeling of the polycystic ovary syndrome. However, the stereological analysis of the ovary has received less attention. Estimation of the whole ovary volume using the Cavalieri method can be applied in any orientation desired, but estimation of the mean volume of the oocytes requires isotropic uniform random sectioning. Here, a combined method was developed for estimating the parameters. To our knowledge, no comparison has been made of the effects of letrozole and estradiol on the ovary. METHODS: Sixty rats were divided into 4 groups receiving estradiol (4 mg/kg), olive oil, letrozole (1 mg/kg), or normal saline. After 21 days, their ovaries were studied. RESULTS: Relative to the control group, the total volume of the ovary and the cortex increased in the letrozole-treated and estradiol-treated rats. In addition, the number of the preantral, antral, and granulosa cells decreased by 43% to 56% in the letrozole- and estradiol-treated rats. On average, a 19% increase was observed in the atretic oocytes of the letrozole-treated and estradiol-treated rats, but the mean oocyte volume decreased by 29% to 44% in letrozole- and estradiol-treated rats. Furthermore, the letrozole-treated rats showed a 5-fold and 7-fold increase in the volume of the cysts and corpus luteum, respectively. A 3-fold increase was found in the volume of both the cysts and corpus luteum in the estradiol group. CONCLUSION: The structural changes of the ovary were most pronounced in the letrozole-treated animals.
Animals ; Carbamates ; Corpus Luteum ; Estradiol ; Female ; Granulosa Cells ; Nitriles ; Olea ; Oocytes ; Organometallic Compounds ; Orientation ; Ovary ; Plant Oils ; Polycystic Ovary Syndrome ; Rats ; Triazoles ; Olive Oil

Objectives: Symptomatic treatment is an essential component in the overall treatment of multiple sclerosis (MS). However, knowledge in this regard is confusing and scattered. Physicians also have challenges in choosing symptomatic treatment based on the patient’s condition. To share, update, and reuse this knowledge, the aim of this study was to provide an ontology for MS symptomatic treatment. Methods: The Symptomatic Treatment of Multiple Sclerosis Ontology (STMSO) was developed according to Ontology Development 101 and a guideline for developing good ontologies in the biomedical domain. We obtained knowledge and rules through a systematic review and entered this knowledge in the form of classes and subclasses in the ontology. We then mapped the ontology using the Basic Formal Ontology (BFO) and Ontology for General Medical Sciences (OGMS) as reference ontologies. The ontology was built using Protégé Editor in the Web Ontology Language format. Finally, an evaluation was done by experts using criterion-based approaches in terms of accuracy, clarity, consistency, and completeness. Results: The knowledge extraction phase identified 110 articles related to the ontology in the form of 626 classes, 40 object properties, and 139 rules. Five general classes included “patient,” “symptoms,” “pharmacological treatment,” “treatment plan,” and “measurement index.” The evaluation in terms of standards for biomedical ontology showed that STMSO was accurate, clear, consistent, and complete. Conclusions STMSO is the first comprehensive semantic representation of the symptomatic treatment of MS and provides a major step toward the development of intelligent clinical decision support systems for symptomatic MS treatment.

OBJECTIVES: Healthcare institutions need timely patient information from various sources at the point-of-care. Evidence-based medicine (EBM) is a tool for proper and efficient incorporation of the results of research in decision-making. Characteristics of medical treatment processes and practical experience concerning the effect of EBM in the clinical process are surveyed. METHODS: A cross sectional survey conducted in Tehran hospitals in February-March 2012 among 51 clinical residents. The respondents were asked to apply EBM in clinical decision-making to answer questions about the effect of EBM in the clinical process. A valid and reliable questionnaire was used in this study. RESULTS: EBM provides a framework for problem solving and improvement of processes. Most residents (76%) agreed that EBM could improve clinical decision making. Eighty one percent of the respondents believed that EBM resulted in quick updating of knowledge. They believed that EBM was more useful for diagnosis than for treatment. There was a significant association between out-patients and in-patients in using electronic EBM resources. CONCLUSIONS: Research findings were useful in clinical practice and decision making. The computerized guidelines are important tools for improving clinical process quality. When learning how to use IT, methods of search and evaluation of evidence for diagnosis, treatment and medical education are necessary. Purposeful use of IT in clinical processes reduces workload and improves decision-making.
Cross-Sectional Studies ; Decision Making ; Delivery of Health Care ; Education, Medical ; Electronics ; Electrons ; Evidence-Based Medicine ; Humans ; Learning ; Medical Informatics ; Outpatients ; Problem Solving ; Surveys and Questionnaires

Background: We aimed to examine the accompanying and solo impacts of conditioned medium of human adiposederived stem cells (h-ASC-COM) and photobiomodulation (PBM) on the maturation stage of an ischemic infected delayed-healing wound model (IIDHWM) of rats with type 2 diabetes (TIIDM). Results: Outcomes of the wound closure ratio (WCR) results, tensiometrical microbiological, and stereological assessment followed almost identical patterns. While the outcomes of h-ASC-COM + PBM, PBM only, and h-ASCCOM only regimes were significantly better for all evaluated methods than those of group 1(all, p < 0.001), PBM alone and h-ASC-COM + PBM therapy achieved superior results than h-ASC-COM only (ranged from p = 0.05 to p < 0.001). In terms of tensiometrical and stereological examinations, the results of h-ASC-COM + PBM experienced better results than the PBM only (all, p < 0.001). Conclusions h-ASC-COM + PBM, PBM, and h-ASC-COM cures expressively accelerated the maturation stage in the wound healing process of IIDHWM with MRSA in TIIDM rats by diminishing the inflammatory reaction, and the microbial flora of MRSA; and increasing wound strength, WCR, number of fibroblasts, and new blood vessels. While the h-ASC-COM + PBM and PBM were more suitable than the effect of h-ASC-COM, the results of h-ASCCOM + PBM were superior to PBM only.

Objective: To investigate the antimicrobial resistance patterns and prevalence of integrons in Shigella species isolated from children with diarrhea in southwest Iran. Methods: In this study, 1 530 stool samples were collected from children under 15 years with diarrhea referred to teaching hospitals in Ahvaz and Abadan, southwest Iran. Shigella spp. were identified by standard biochemical tests and PCR. The antibiotic resistance pattern of all Shigella isolates was determined by the disk diffusion method and minimum inhibitory concentration (MIC) by E-test. Results: Of 1 530 stool samples, 91 (5.9%, 91/1 530) were positive for Shigella spp. the most common Shigella isolates were Shigella flexneri 47 (51.6%, 47/1 530). Antibiotic susceptibility tests showed that the highest antibiotic resistance was related to trimethoprim-sulfamethoxazole (87.9%, 80/91) and ampicillin (86.8%, 79/91). Multiplex PCR results revealed that 56% and 86.9% of Shigella isolates carried integron class I and integron class II genes, respectively. None of the isolates included the integron class III gene. Conclusions: The high prevalence of multi-drug resistance in Shigella isolates in our area increases the concerns about dissemination of the antibiotic-resistant isolates in this bacterium.

PURPOSE: The reliability of trauma coding is essential in establishing the reliable trauma data and adopting efficient control and monitoring policies. The present study aimed to determine the reliability of trauma coding in educational hospitals affiliated to Shahid Beheshti University of Medical Sciences, Iran. METHODS: In this descriptive cross-sectional study, 591 coded medical records with a trauma diagnosis in 2018 were selected and recoded by two coders. The reliability of trauma coding was calculated using Cohen's kappa. The data were recorded in a checklist, in which the validity of the content had been confirmed by experts. RESULTS: The reliability of the coding related to the nature of trauma in research units was 0.75-0.77, indicating moderate reliability. Also, the reliability of the coding of external causes of trauma was 0.57-0.58, suggesting poor reliability. CONCLUSION The reliability of trauma coding both in terms of the nature of trauma and the external causes of trauma does not have a good status in the research units. This can be due to the complex coding of trauma, poor documentation of the cases, and not studying the entire case. Therefore, holding training courses for coders, offering training on the accurate documentation to other service providers, and periodically auditing the medical coding are recommended.
Cross-Sectional Studies ; Hospitals, Teaching ; Humans ; International Classification of Diseases ; Medical Records ; Reproducibility of Results

OBJECTIVETo identify the main characteristics of victims of motorcycle accidents in Fars Province, Iran.

METHODSThis cross-sectional study was conducted in Fars Province which has the fourth largest population of all 31 provinces in Iran from March 2009 to June 2010. We included data from all 542 recorded cases of fatalities due to motor vehicle accidents. Data were recorded from the forensic medicine registry consisting of demographic and accident-related information. Demographic information consisted of name, age, sex, status of fatal victim (motorcycle driver vs passenger) and educational level.

RESULTSOf the 2 345 autopsy records from the forensic medicine archives, 542 (23.1%) gave the cause of death as motor vehicle accidents. Mean age of these victims was (31.4+/-6.5) years, and the male to female ratio was 28. Head injury was the most common cause of death in these victims, and overall they tended to have a low level of education. Motorcycle accidents frequently involved younger age groups (15-35 years), and head trauma related with non-use of a helmet was the most common cause of death.

CONCLUSIONSHead injury is frequent among victims in the province we studied. This situation may be related to the victims' low socioeconomic status and little education regarding traffic laws leading to speeding and disregard of these laws along with their weak enforcement.

Anesthesia and analgesia are major components of many interventional studies on laboratory animals. However, various studies have shown improper reporting or use of anesthetics/analgesics in research proposals and published articles. In many cases, it seems “anesthesia” and “analgesia” are used interchangeably, while they are referring to two different concepts. Not only this is an unethical practice, but also it may be one of the reasons for the proven sub‑ optimal quality of many animal researches. This is a widespread problem among investigations on various species of animals. However, it could be imagined that it may be more prevalent for the most common species of laboratory animals, such as the laboratory mice. In this review, proper anesthetic/analgesic methods for routine procedures on laboratory mice are discussed. We considered the available literature and critically reviewed their anesthetic/analge‑ sic methods. Detailed dosing and pharmacological information for the relevant drugs are provided and some of the drugs’ side effects are discussed. This paper provides the necessary data for an informed choice of anesthetic/analge‑ sic methods in some routine procedures on laboratory mice.

Kidney stone is a highly recurrent disease in the urinary tract system. Most kidney stones are calcium stones, usually consisting of either calcium oxalate or calcium phosphate. Supersaturation of soluble calcium, oxalate, phosphate, and citrate in the urine is the basis for calcium stone formation. Genetics, diet, low physical activity, and individual habits contribute to the formation of kidney stones. In this review, the associations of the risk of kidney stones with oxalate consumption and some individual habits, such as smoking, alcohol drinking, and opium consumption, are summarized.
Humans ; Calcium/urine* ; Oxalates ; Kidney Calculi/urine* ; Calcium Oxalate/urine* ; Habits