Tehran University Medical Journal

Background: The clinical field has vast sick data that has not been analyzed. Discovering a way to analyze this raw data and turn it into an information treasure can save many lives. Using data mining methods is an efficient way to analyze this large amount of raw data. It can predict the future with accurate knowledge of the past, providing new insights into disease diagnosis and prevention. Several data mining methods exist but finding a suitable one is very important. Today, coronavirus disease (COVID-19) has become one of the causing deadly diseases in the world. The early diagnosis of pandemic coronavirus disease has a significant impact in preventing death. This study aims to extract the key indications of the disease and find the best data mining methods that enhance the accuracy of coronavirus disease diagnosis.
Methods: In this study, to obtain high accuracy in diagnosing COVID-19 disease, a complete and effective workflow over data mining methods was proposed, which includes these steps: data pre-analyzing, indication selection, model creation, the measure of performance, and display of results. Data and related indications of patients with COVID-19 were collected from Kerman Afzalipour Hospital and Rafsanjan, Ali Ebn Abi Taleb Hospital. Prediction structures were made and tested via different combinations of the disease indications and seven data mining methods. To discover the best key indications, three criteria including accuracy, validation and F-value were applied and to discover the best data mining methods, accuracy and validation criteria were considered. For each data mining method, the criteria were measured independently and all results were reported for analysis. Finally, the best key indications and data mining methods that can diagnose COVID-19 disease with high accuracy were extracted.

Background: Determining the rank of important parameters in ranking health care and providing health services to patients in medical centers.
Methods: The research method is descriptive-analytical and applied in terms of classification. The data is from the database of the Faculty of Health and Medicine of the University of Tehran, which was collected as an archive from April 1998 to May 1999. The statistical population were all experts, specialists and experts of the Faculty of Health 29 of whom completed the questionnaire. The weight of the criteria was evaluated using the AHP method and in the next stage, the medical centers were ranked using the DS-VIKOR method. The analysis method in this study consists of the following steps steps:
• Implementing a simple VIKOR method.
• Implementing the Dempster-Shafer and Vicker method.
• Implementing the AHP method
• Implementation of the Topsis method.
• Comparing the proposed methods to review and compare which ones work best.

The model can investigate the effectiveness of giving caring and providing health services to patients in medical centers.
Conclusion: By combining the two methods of Dempster-Shafer and Vicker, the confidence in the whole uncertainty is improved and the results are more reliable. This approach can help reduce the uncertainty caused by people's cognition to increase the level of decision-making, allowing us to overcome the problem of choosing the right level of uncertainty and to deal with uncertainty in a practical and justified way.

Background: Sigmoid volvulus is a rare complication in pregnancy. The clinical presentation is similar to that of non-pregnant volvulus, although the symptoms can be masked by the enlarged uterus and physiological changes during pregnancy and it can be challenged and delayed in diagnosis and treatment. Delay in diagnosis can also lead to ischemia, necrosis and perforation of the intestine, which can have adverse maternal and fetal outcomes.
Case Presentation: A primigravid woman with gestational age of 31 weeks was admitted to a 3^rd level center with abdominal pain and abdominal distention. From the beginning of pregnancy, the patient complained of bloating and epigastric pain, And had used herbal medicine for defecation. The patient's constipation had worsened since six days before admission to the hospital. She had no vomiting and her general condition was good. Abdominal Supine X-rays were reported completely dilated sigmoid and she was treated with a possible diagnosis of ileus. Due to the progression of symptoms and abdominal distension, rectosigmoidoscopy was performed for her, and scattered mucosal erythema was seen. Discoloration of the purple mucosa was seen from a distance of about 35 cm from the annulus and the secretions inside the sigmoid lumen were seen as blood. Ischemic necrosis and sigmoid volvulus were strongly suggested for the patient and she was immediately transferred to the operating room. The abdomen was opened with a midline incision. A 30 weeks uterus was seen and sigmoid volvulus was confirmed. Detorsion and colostomy were done. Due to the unprepared intestine and the possibility of leakage from the site of anastomosis, sigmoidectomy was not performed. After 4 days, the patient was discharged in a good general condition and became a candidate for sigmoid colon resection after delivery.

Background: Congenital heart defects (CHD) are the most common type of birth defects. The main screening tests used to identify babies with congenital heart defects include prenatal echocardiography and postnatal clinical assessment. Routine pulse oximetry has been reported as an additional screening test that can potentially improve the early diagnosis of critical congenital heart disease (CCHD).
Methods: This study is a multi-stage evolutionary study that was conducted for 12 months from March 2021 to March 2022 at Pediatric Cardiovascular Research Center in Cardiovascular Institute, Isfahan, Iran. In the first phase, after identifying the topic and aims of the present study, questions were designed through the PICO method including (population, intervention, control, and outcomes). Then conducting systematic searches, the quality of all existing clinical guidelines (CG) of this field were evaluated using the Appraisal of Guidelines for Research and Evaluation (AGREE) instrument and a committee consisting of pediatric cardiologists and neonatologists in the field. Next, based on the opinions of experts, the quality of 1 out of 6 clinical guidelines for early detection of critical congenital heart disease at birth by pulse oximetry was assessed as optimal. Finally, the clinical guidelines draft was evaluated using the Delphi method and the panel of experts. After expert panel meetings and consensus between members, the final version of the guideline for early detection of critical congenital heart diseases at birth by pulse oximetry was developed.

Results: In the present study, criteria of clinical practice regarding the stages of newborn screening by pulse oximetry at birth were determined based on the evidence and health conditions and were presented in twenty-eight recommendations and six sections. The final recommendations were presented in the results section. Conclusion: The finding of the present study showed that physicians, nurses, and midwives can apply the recommendations of this clinical guideline for the early detection and referral of neonates with critical congenital heart disease.

Background: Gastric cancer (GC) is one of the most common malignancies and is considered as one of the leading causes of cancer deaths worldwide. Despite considerable progress in the disease's control and treatment, the patients' survival rate is relatively low. Different factors can affect the survival rate of GC patients. The current study aims to evaluate the association of demographic and pathological characteristics with the survival rate of GC patients.
Methods: This descriptive-analytical study was conducted on Fifty-six patients with gastric cancer from October 2015 to October 2016, who were referred to the gastroenterology clinic of Imam Khomeini and Rasoul Akram Hospitals in Tehran province and followed up for five consecutive years. The survival rate of the patients was measured using Kaplan-Meier method. Moreover, the Log-rank test and the COX regression model were used to determine the association of the survival rate with the demographic and pathological characteristics, including gender, age, tumor location, tumor type, tumor differentiation, metastasis, tumor staging, and Helicobacter pylori status. Data analysis was performed via SPSS version 22, and a P<0.05 was considered statistically significant. 

Results: A total of 56 patients were studied; 73% were men, and 27% were women. Our results showed that gastric cancer is more common in males and older people. Patients' one-year, three-year, and five-year survival rates were 67%, 35%, and 26%, respectively. Also, the survival rate of participants over 60 and in advanced stages of GC was lower than others. The Log-rank test showed that age, tumor type, tumor differentiation, metastasis, and tumor staging could affect the survival rate. However, in the COX regression model, age, metastasis, and tumor staging influenced the survival rate of patients. Conclusion: The results indicated that the survival rate of gastric cancer patients was relatively low, and the early diagnosis of GC could be a substantial factor in increasing the patients' survival rate. Therefore, an appropriate screening program is necessary to increase the survival rate of GC patients.

Background: Medical Laboratories have a great impact on patient safety and 80-90% of medical diagnoses are based on the results of laboratory tests. Medical procedures from the initial diagnostic steps such as a test or a simple injection to specialized treatment steps may be erroneous. The aim of this study was to determine the type and rate of human error, equipment, materials and procedures in all stages including before analysis, during analysis and after analysis to analyze the causes and find logical solutions to reduce of them.
Methods: This cross-sectional descriptive study was performed in a medical center in Tehran, Iran during the years 1400-1401. Data collection was considered in accordance with the instructions of the Laboratory Affairs Department of the Ministry of Health and Medical Education regarding the type of errors in the field of job description in each of the technical and non-technical sections. Data was analyzed by IBM SPSS software, version 22 (SPSS Inc., Chicago, IL, USA) software.

Results: During the period of study, the number of  referred patients was about 45,000 and the number of tests 594,000. The total number of errors was 837. The ratio of errors to the patients was 1.9% and to the tests 0.15%. The 37 types of errors were identified and reported in this study. Of these, 11 types of errors were in the pre-analysis, 14 types during the analysis and 12 types of errors in the post-analysis stage. The frequency of errors in the three stages was 180(21.5%), 312(37.3%) and 345(41.2%), respectively that the errors rate did not have a normal distribution and a significant difference was observed (P<0.05, df=2). Conclusion: Due to the variety of reported errors and the importance of their role in other stages of diagnosis and treatment, it is necessary that all human, equipment and process errors in all stages of laboratory analysis be carefully recorded and corrective and preventive measures be taken to minimize them.

Methods: In this cross-sectional study (descriptive analytic), the records of 2739 neonates who had been recalled during the CH screening program in the east of Tehran, Iran (health care centers of the Iran University of Medical Sciences), from March 2011 to March 2015, were studied. According to the CH screening program in Iran, the TSH on filter paper>5 is the current cut-off point for recalling the neonates. The data was analyzed with SPSS software, version 21. The ROC curve was used to determine the TSH cut-off point and the sensitivity and specificity of the filter test. The relationship between the filter and serum TSH was also determined. The study was approved by the Ethics Committee of the Iran University of Medical Sciences. Results: The recall rate was 5.4%. The prevalence of hypothyroidism was 3/1000 neonates (164). The prevalence in males and females was 51.1% and 48.9%, respectively, with no significant difference. The number of recalled neonates diagnosed as patients with congenital hypothyroidism based on the filter TSH level was 5 Conclusion: Based on the findings of the study, considering the kits available in the country and their sensitivity and specificity, the importance of diagnosing infants with congenital hypothyroidism, and the lower cost of filter paper than missing a hypothyroid infant, the current cut-off point is acceptable. However, more studies are needed in different regions of Iran to obtain more accurate results.