Determination of minimum data set (MSD) in echocardiography reporting system to exchange with Iran's electronic health record (EHR) system

Background: Determination of minimum data set (MDS) in echocardiography reports is necessary for documentation and putting information in a standard way, and leads to the enhancement of electrocardiographic studies through having access to precise and perfect reports and also to the development of a standard database for electrocardiographic reports. Aim: To determine the minimum data set of echocardiography reporting system to exchange with Iran's electronic health record (EHR) system. Methods: First, a list of minimum data set was prepared after reviewing texts and studying cardiac patients' records. Then, to determine the content validity of the prepared MDS, the expert views of 10 cardiologists and 10 health information management (HIM) specialists were obtained; to estimate the reliability of the set, test-retest method was employed. Finally, the data were analyzed using SPSS software. Results: The highest degree of consensus was found for the following MDSs: Patient's name and family name (5), accepting doctor's name and family name, familial death records due to cardiac disorders, the image identification code, mitral valve, aortic valve, tricuspid valve, pulmonary valve, left ventricle, hole, atrium valve, Doppler examination of ventricular and atrial movement models and diagnoses with an average of. Conclusions: To prepare a model of echocardiography reporting system to exchange with EHR system, creation a standard data set is the vital point. Therefore, based on the research findings, the minimum reporting system data to exchange with Iran's electronic health record system include information on entity, management, medical record, carried-out acts, and the main content of the echocardiography report, which the planners of reporting system should consider. © 2016 Zahra Mahmoudvand, Mehran Kamkar, Leila Shahmoradi, Ahmadreza Farzaneh Nejad

Quality improvement of liver ultrasound images using fuzzy techniques

Background: Liver ultrasound images are so common and are applied so often to diagnose diffuse liver diseases like fatty liver. However, the low quality of such images makes it difficult to analyze them and diagnose diseases. The purpose of this study, therefore, is to improve the contrast and quality of liver ultrasound images. Methods: In this study, a number of image contrast enhancement algorithms which are based on fuzzy logic were applied to liver ultrasound images - in which the view of kidney is observable - using Matlab2013b to improve the image contrast and quality which has a fuzzy definition; just like image contrast improvement algorithms using a fuzzy intensification operator, contrast improvement algorithms applying fuzzy image histogram hyperbolization, and contrast improvement algorithms by fuzzy IF-THEN rules. Results: With the measurement of Mean Squared Error and Peak Signal to Noise Ratio obtained from different images, fuzzy methods provided better results, and their implementation - compared with histogram equalization method - led both to the improvement of contrast and visual quality of images and to the improvement of liver segmentation algorithms results in images. Conclusion: Comparison of the four algorithms revealed the power of fuzzy logic in improving image contrast compared with traditional image processing algorithms. Moreover, contrast improvement algorithm based on a fuzzy intensification operator was selected as the strongest algorithm considering the measured indicators. This method can also be used in future studies on other ultrasound images for quality improvement and other image processing and analysis applications. © 2016 Azadeh Bayani, Leila Shahmoradi, Mostafa Langarizadeh, Amir Reza Radmard, and Ahmadreza Farzaneh Nejad

Developing a fuzzy expert system to predict the risk of neonatal death

Introduction: This study aims at developing a fuzzy expert system to predict the possibility of neonatal death. Materials and Methods: A questionnaire was given to Iranian neonatologists and the more important factors were identified based on their answers. Then, a computing model was designed considering the fuzziness of variables having the highest neonatal mortality risk. The inference engine used was Mamdani's method and the output was the risk of neonatal death given as a percentage. To validate the designed system, neonates' medical records real data at a Tehran hospital were used. MATLAB software was applied to build the model, and user interface was developed by C# programming in Visual Studio platform as bilingual (English and Farsi user interface). Results: According to the results, the accuracy, sensitivity, and specificity of the model were 90, 83 and 97, respectively. Conclusion: The designed fuzzy expert system for neonatal death prediction showed good accuracy as well as proper specificity, and could be utilized in general hospitals as a clinical decision support tool. ©2016 Reza Safdari, Maliheh Kadivar, Mostafa Langarizadeh, Ahmadreaza Farzaneh Nejad, Farzaneh Kermani

Development of a store-and-forward telescreening system of diabetic retinopathy: lessons learned from Iran

Background: The present study describes the development and identity phases of a teleophthalmology system used for screening of diabetic retinopathy. Methods: A questionnaire was used to identify the main factors necessary for diagnosis of diabetic retinopathy and the features required for a teleophthalmology system. In the second phase, a web-based prototype of the system was designed using the data collected in the previous phase. In the final phase, the system was optimized based on the users� ideas and comments; then, it was evaluated through a standard usability testing questionnaire. Results: The results showed that the lowest average percentages were related to ethnicity (61), optometrist�s office address (61), and consultant physician�s office address (65). A web-based prototype was designed using the Visual Studio and Dreamweaver programming tools. This system comprised patient identity data, medical history, clinical data, and retinal images of the patient. The mean score of usability testing and user satisfaction including specialists, residents, and optometrist was 7.3, 7.1 and 7.3 (out of a total 9), respectively. The evaluation results revealed that the system was classified as good. Conclusion: The telescreening system suggested in the current study could be helpful in timely diagnosis. Moreover, it would reduce the treatment costs and complexities. Regardless of the positive points of telemedicine systems, one of the most challenges in this study was the Internet infrastructure to design and apply the system. The future studies, therefore, could focus on the application of cell phone technology for rendering teleophthalmology. © 2018 Springer International Publishing A

Development of a store-and-forward telescreening system of diabetic retinopathy: lessons learned from Iran

Background: The present study describes the development and identity phases of a teleophthalmology system used for screening of diabetic retinopathy. Methods: A questionnaire was used to identify the main factors necessary for diagnosis of diabetic retinopathy and the features required for a teleophthalmology system. In the second phase, a web-based prototype of the system was designed using the data collected in the previous phase. In the final phase, the system was optimized based on the users� ideas and comments; then, it was evaluated through a standard usability testing questionnaire. Results: The results showed that the lowest average percentages were related to ethnicity (61), optometrist�s office address (61), and consultant physician�s office address (65). A web-based prototype was designed using the Visual Studio and Dreamweaver programming tools. This system comprised patient identity data, medical history, clinical data, and retinal images of the patient. The mean score of usability testing and user satisfaction including specialists, residents, and optometrist was 7.3, 7.1 and 7.3 (out of a total 9), respectively. The evaluation results revealed that the system was classified as good. Conclusion: The telescreening system suggested in the current study could be helpful in timely diagnosis. Moreover, it would reduce the treatment costs and complexities. Regardless of the positive points of telemedicine systems, one of the most challenges in this study was the Internet infrastructure to design and apply the system. The future studies, therefore, could focus on the application of cell phone technology for rendering teleophthalmology. © 2018, Springer International Publishing AG

Distribution of staphylococcal cassette chromosome mec types among methicillin-resistant coagulase negative staphylococci in central Iran

Background and Objectives: Methicillin-resistant coagulase-negative staphylococci (MR-CoNS) are important nosocomial pathogens. They may serve as a reservoir of SCCmec, the genomic island encoding amongst other methicillin resistance. This study was designed to determine the distribution of different SCCmec types from MR-CoNS isolated from clinical specimens in a tertiary hospital in central Iran, having high frequency of nosocomial methicillin-resistant staphylococcal infections. Materials and Methods: We evaluated isolates from patients attending the Vali-Asr Hospital located in the center of Iran, from February to December 2012. Multiplex PCR was performed for SCCmec typing. For isolates in which SCCmec could not be typed directly, additional ccr and mec complex analyses were performed. Results: Totally, 70 MR-CoNS isolates, comprising of 47 S. epidermidis strains (67%), 10 S. saprophyticus (14.3%), 9 S. hemolyticus (13%) and 4 S. lugdunensis (5.7%) were identified. Thirty-nine were characterized as type IVa 19 (27%), type III 11 (16%), type II 7 (10%) and type V 2 (3%). Only 20 isolates (28.6%) carried the ccr complex, while the current methods could not characterize the 11 remaining isolates. Conclusion: A high level of SCCmec genetic diversity was found among MR-CoNS isolates. MR-CoNS may act as a reservoir of SCCmec IV for MRSA. This issue should be taken into consideration seriously

Characterization of Plasmid-Mediated AmpC and Carbapenemases among Iranain Nosocomial Isolates of Klebsiella pneumoniae Using Phenotyping and Genotyping Methods

Objectives: Plasmid-mediated AmpC β-lactamases (PMABLs) and carbapenemases are emerging groups of antimicrobial-resistance determinants. The aims of the study were to evaluate the occurrence of PMABLs and carbapenemases in clinical isolates of Klebsiella pneumoniae and compare the test performance of various phenotypic methods for detection of these enzymes in Iran. Methods: A total of 100 K. pneumoniae isolates were collected from clinical specimens obtained in Valiasr Hospital. AmpC production in all isolates was determined using the AmpC disk test, the cephamycin Hodge test, the AmpC Etest, and the boronic acid combined-disk test. In addition, carbapenemase production was determined using the modified Hodge test, the EDTA disk synergy test, and the boronic acid combined-disk test. The performances of various phenotypic methods were evaluated by the comparison of their results with polymerase chain reaction (PCR) method as the gold standard. Results: Of the 100 isolates, 19 (19%) were demonstrated to harbor the

Onset of labor in post-term pregnancy by chamomile

Background: Post-term pregnancy is an important factor in perinatal mortality and morbidity. Generally, to reduce perinatal mortality in pregnancy, the delivery isdonebefore adverse perinatal morbidity occurs. Toprevent prolonged pregnancy, labor is induced with chemical drugs and complementary therapies. Due to the side effects and contraindications of chemical medicine, the use of herbs has been investigated in the induction of labor in post-term pregnancy. Objectives: This study was done to identify the effect of chamomile on inducing labor in women with post-term pregnancy of Shahid Akbarabadi hospital in Tehran in 2013. Patients and Methods: This double-blind clinical trial study was performed in Iran on 80 post-term pregnant women with a gestational age of 40 weeks or more, a single pregnancy, 18 - 35 years old, cephalic presentation, an estimated fetal weight of 2500 - 4000 grams, an absence of uterine contraction, a cervical Bishop score of less than 4, the safety of the membrane, and low-risk pregnancy; they were randomly assigned to one of two groups of 40 women. Each of the participants was given a bottle containing 42 capsules (500mgeach) and took 2 capsules every 8 hours. The data were collected through the questionnaire of demographic observational, and examinal characteristics. Descriptive statistics, independent samples t-test, and Fisher�s exact test using SPSS (16/win) were used to determine and compare the effects of drugs on inducing labor in the groups. Results: After a week of using the first dose, the results showed that in 92.5 of the chamomile group and 62.5 in the placebo group, delivery symptoms started after taking the oral capsules, and there were significant statistical differences between the two groups for the onset of labor (P = 0.003) There was a noticeable statistical difference between the two groups regarding the mean interval time to the onset of labor pain after taking the capsules (P = 0.000). Conclusions: In this study,chamomile stimulated labor in post-term pregnancy. With further studies, chamomile, which has no chemical side effects, can be suggested for stimulating labor in post-term pregnancy. � 2016, Iranian Red Crescent Medical Journal

Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17 : analysis for the Global Burden of Disease Study 2017

Background Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. Methods We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. Findings The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1–65·8), 17·4% (7·7–28·4), and 59·5% (34·2–86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. Interpretation By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health

The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6–28·4) and DALYs by 16·8% (8·8–25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9–42·8] and 33·3% [25·8–42·0]). INTERPRETATION: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden