Sex and age differences in inflammatory bowel disease patients; a nationwide study based on Iranian Registry of Crohn's and Colitis (IRCC).

BACKGROUND: Despite the rising prevalence of Inflammatory Bowel Disease (IBD), age and sex differences in its outcomes remain understudied. We investigated age and sex differences in IBD patients using a nationwide study in Iran, the Iranian Registry of Crohn's and Colitis (IRCC). METHODS: The IRCC is a national registry that gathered information on adult IBD patients since 2017. The collected data included demographic information, medication history, disease activity, comorbidities, diagnosis age, prognosis, the extent of ulcerative colitis (UC), Crohn's disease (CD) location, and extraintestinal manifestations. The statistical methods included the independent Student's t-test, Chi-square test, and binary logistic regression, using R version 4.2.2. RESULTS: Among the 9,392 IBD patients, 7,496 (3,600 females) and 1,896 (808 females) had UC and CD, respectively. Sex difference showed higher odds of active disease in the past six months in male CD patients (OR 1.24 [95%CI 1.03, 1.49]) vs. females, but in male UC patients, the OR was 0.85 [0.78, 0.93]. Severe disease was less likely in CD patients aged 19-59 and >60 vs. <18. Similarly, UC patients <18 had lower odds of severe disease vs. those aged 19-59 and >60. CONCLUSIONS: This study emphasizes the importance of understanding age and sex differences in IBD outcomes. These findings contribute to the ongoing global discussion on IBD management and facilitate the development of targeted interventions and personalized care.

Clinical Phenotype and Disease Course of Inflammatory Bowel Disease in Iran: Results of the Iranian Registry of Crohn's and Colitis (IRCC).

BACKGROUND: Data on the epidemiology of inflammatory bowel disease (IBD) in the Middle East are scarce. We aimed to describe the clinical phenotype, disease course, and medication usage of IBD cases from Iran in the Middle East. METHODS: We conducted a cross-sectional study of registered IBD patients in the Iranian Registry of Crohn's and Colitis (IRCC) from 2017 until 2022. We collected information on demographic characteristics, past medical history, family history, disease extent and location, extra-intestinal manifestations, IBD medications, and activity using the IBD-control-8 questionnaire and the Manitoba IBD index, admissions history, history of colon cancer, and IBD-related surgeries. RESULTS: In total, 9746 patients with ulcerative colitis (UC) (n=7793), and Crohn's disease (CD) (n=1953) were reported. The UC to CD ratio was 3.99. The median age at diagnosis was 29.2 (IQR: 22.6,37.6) and 27.6 (IQR: 20.6,37.6) for patients with UC and CD, respectively. The male-to-female ratio was 1.28 in CD patients. A positive family history was observed in 17.9% of UC patients. The majority of UC patients had pancolitis (47%). Ileocolonic involvement was the most common type of involvement in CD patients (43.7%), and the prevalence of stricturing behavior was 4.6%. A prevalence of 0.3% was observed for colorectal cancer among patients with UC. Moreover,15.2% of UC patients and 38.4% of CD patients had been treated with anti-tumor necrosis factor (anti-TNF). CONCLUSION: In this national registry-based study, there are significant differences in some clinical phenotypes such as the prevalence of extra-intestinal manifestations and treatment strategies such as biological use in different geographical locations.

Artificial Intelligence for PET and SPECT Image Enhancement.

Nuclear medicine imaging modalities such as PET and SPECT are confounded by high noise levels and low spatial resolution, necessitating postreconstruction image enhancement to improve their quality and quantitative accuracy. Artificial intelligence (AI) models such as convolutional neural networks, U-Nets, and generative adversarial networks have shown promising outcomes in enhancing PET and SPECT images. This review article presents a comprehensive survey of state-of-the-art AI methods for PET and SPECT image enhancement and seeks to identify emerging trends in this field. We focus on recent breakthroughs in AI-based PET and SPECT image denoising and deblurring. Supervised deep-learning models have shown great potential in reducing radiotracer dose and scan times without sacrificing image quality and diagnostic accuracy. However, the clinical utility of these methods is often limited by their need for paired clean and corrupt datasets for training. This has motivated research into unsupervised alternatives that can overcome this limitation by relying on only corrupt inputs or unpaired datasets to train models. This review highlights recently published supervised and unsupervised efforts toward AI-based PET and SPECT image enhancement. We discuss cross-scanner and cross-protocol training efforts, which can greatly enhance the clinical translatability of AI-based image enhancement tools. We also aim to address the looming question of whether the improvements in image quality generated by AI models lead to actual clinical benefit. To this end, we discuss works that have focused on task-specific objective clinical evaluation of AI models for image enhancement or incorporated clinical metrics into their loss functions to guide the image generation process. Finally, we discuss emerging research directions, which include the exploration of novel training paradigms, curation of larger task-specific datasets, and objective clinical evaluation that will enable the realization of the full translation potential of these models in the future.

AI-Driven sleep staging from actigraphy and heart rate.

Sleep is an important indicator of a person's health, and its accurate and cost-effective quantification is of great value in healthcare. The gold standard for sleep assessment and the clinical diagnosis of sleep disorders is polysomnography (PSG). However, PSG requires an overnight clinic visit and trained technicians to score the obtained multimodality data. Wrist-worn consumer devices, such as smartwatches, are a promising alternative to PSG because of their small form factor, continuous monitoring capability, and popularity. Unlike PSG, however, wearables-derived data are noisier and far less information-rich because of the fewer number of modalities and less accurate measurements due to their small form factor. Given these challenges, most consumer devices perform two-stage (i.e., sleep-wake) classification, which is inadequate for deep insights into a person's sleep health. The challenging multi-class (three, four, or five-class) staging of sleep using data from wrist-worn wearables remains unresolved. The difference in the data quality between consumer-grade wearables and lab-grade clinical equipment is the motivation behind this study. In this paper, we present an artificial intelligence (AI) technique termed sequence-to-sequence LSTM for automated mobile sleep staging (SLAMSS), which can perform three-class (wake, NREM, REM) and four-class (wake, light, deep, REM) sleep classification from activity (i.e., wrist-accelerometry-derived locomotion) and two coarse heart rate measures-both of which can be reliably obtained from a consumer-grade wrist-wearable device. Our method relies on raw time-series datasets and obviates the need for manual feature selection. We validated our model using actigraphy and coarse heart rate data from two independent study populations: the Multi-Ethnic Study of Atherosclerosis (MESA; N = 808) cohort and the Osteoporotic Fractures in Men (MrOS; N = 817) cohort. SLAMSS achieves an overall accuracy of 79%, weighted F1 score of 0.80, 77% sensitivity, and 89% specificity for three-class sleep staging and an overall accuracy of 70-72%, weighted F1 score of 0.72-0.73, 64-66% sensitivity, and 89-90% specificity for four-class sleep staging in the MESA cohort. It yielded an overall accuracy of 77%, weighted F1 score of 0.77, 74% sensitivity, and 88% specificity for three-class sleep staging and an overall accuracy of 68-69%, weighted F1 score of 0.68-0.69, 60-63% sensitivity, and 88-89% specificity for four-class sleep staging in the MrOS cohort. These results were achieved with feature-poor inputs with a low temporal resolution. In addition, we extended our three-class staging model to an unrelated Apple Watch dataset. Importantly, SLAMSS predicts the duration of each sleep stage with high accuracy. This is especially significant for four-class sleep staging, where deep sleep is severely underrepresented. We show that, by appropriately choosing the loss function to address the inherent class imbalance, our method can accurately estimate deep sleep time (SLAMSS/MESA: 0.61±0.69 hours, PSG/MESA ground truth: 0.60±0.60 hours; SLAMSS/MrOS: 0.53±0.66 hours, PSG/MrOS ground truth: 0.55±0.57 hours;). Deep sleep quality and quantity are vital metrics and early indicators for a number of diseases. Our method, which enables accurate deep sleep estimation from wearables-derived data, is therefore promising for a variety of clinical applications requiring long-term deep sleep monitoring.

Comparison of Disease Phenotype and Course among Elderly- and Early-Onset Inflammatory Bowel Diseases in the Middle East.

BACKGROUND: It is unknown if the clinical manifestations and phenotype of disease are comparable between early- and elderly-onset inflammatory bowel disease (IBD). We aimed to seek differences in disease phenotype, course, complications, and treatment between early- and elderly-onset IBD patients. METHODS: This retrospective cohort study on registered IBD patients in the Iranian Registry of Crohn's and Colitis (IRCC) compared demographics, disease phenotype, disease activity, IBD-related surgery and medications between early- and elderly-onset IBD. A generalized linear regression model was used to investigate the relative risk of age at diagnosis adjusted for gender and disease duration for the outcomes. RESULTS: From 10048 IBD patients, 749 with early-onset (7.5%), and 472 (4.7%) elderly-onset IBD were enrolled: 855 (63.1%) ulcerative colitis (UC) and 366 (26.9%) Crohn's disease (CD). Left-sided colitis was more frequent among elderly-onset UC patients (P<0.001). Ileum and ileocolonic locations were the most common types in elderly-onset and early-onset CD patients, respectively. In comparison with elderly-onset UC, early-onset cases more often used prednisolone (22.1% vs. 11.4%, P=0.001), immunomodulators (44.9% vs 25.2%, P<0.001) and anti-tumor necrosis factors (TNF) (20.1% vs 11.9%, P=0.002). Elderly-onset UC patients had 0.7 times lower risk of aggressive phenotype (95%CI:0.6‒0.9, P=0.005). Early-onset CD was associated with higher use of prednisolone (27.7% vs 8.1%, P<0.001), immunomodulators (58.7% vs 41.8%, P=0.005) and anti-TNF (49.6% vs 35.4%, P=0.006). CONCLUSION: Early-onset IBD was associated with a more aggressive phenotype and higher prednisolone, immunomodulators, and anti-TNF use.

Outcomes of COVID-19 in Patients with Inflammatory Bowel Disease: Comparison with Household Members and the Role of IBD Medications.

BACKGROUND: Most data on the effect of inflammatory bowel disease (IBD) and its treatments on coronavirus disease 2019 (COVID-19) outcomes have not had non-IBD comparators. Hence, we aimed to describe COVID-19 outcomes in IBD compared to non-IBD patients. METHODS: We conducted a prospective cohort study of registered IBD patients with confirmed COVID-19 from six provinces in Iran from February to April 2020. Proven COVID-19 patients were followed up at four weeks and the frequency of outcomes was assessed. Multivariable logistic regression was used to assess associations between demographics, clinical characteristics and COVID-19 outcomes. RESULTS: Overall, 2159 IBD patients and 4721 household members were enrolled, with 84 (3.9%) and 49 (1.1%) participants having confirmed COVID-19, respectively. Household spread of COVID-19 was not common in this cohort (1.2%). While hospitalization was significantly more frequent in IBD patients compared with non-IBD household members (27.1% vs. 6.0%, P=0.002), there was no significant difference in the frequency of severe cases. Age and presence of IBD were positively associated with hospitalization in IBD compared with non-IBD household members (OR: 1.06, 95% CI: 1.03-1.10; OR: 5.7, 95% CI: 2.02- 16.07, respectively). Age, presence of new gastrointestinal symptoms, and 5-aminosalicylic acid (5-ASA) use were associated with higher hospitalization rate in IBD patients (OR: 1.13, 95% CI: 1.05-1.23; OR: 6.49, 95% CI: 1.87-22.54; OR: 6.22, 95% CI: 1.90-20.36, respectively). Anti-tumor necrosis factor (TNF) was not associated with more severe outcomes. CONCLUSION: Age, presence of new gastrointestinal symptoms and use of 5-ASA were associated with increased hospitalization rate among IBD patients, while anti-TNF therapy had no statistical association.

Susceptibility of Patients with Inflammatory Bowel Disease to COVID-19 Compared with Their Households.

BACKGROUND: Immunosuppressive agents used in the treatment of inflammatory bowel diseases (IBDs) could potentially increase the risk of coronavirus disease 2019 (COVID-19). We aimed to compare COVID-19 frequency in patients with IBD with their households and identify the related risk factors. METHODS: Firstly, a multi-centered, observational study on 2110 patients with IBD and 2110 age-matched household members was conducted to compare COVID-19 frequency. Secondly, the data of patients with IBD and COVID-19 who had called the COVID-19 hotline were added. Multivariable logistic regression was used to evaluate the effect of age, type and severity of IBD, the number of comorbidities, and medications on the frequency of COVID-19 among the patients with IBD. RESULTS: The prevalence of COVID-19 in patients with IBD and household groups was similar (34 [1.61%] versus 35 [1.65%]; P = 0.995). The prevalence of COVID-19 increased from 2.1% to 7.1% in those with three or more comorbidities (P = 0.015) and it was significantly higher in those with severe IBD (P = 0.026). The multivariable analysis only showed a significant association with anti-TNF monotherapy (OR: 2.5, CI: 0.97-6.71, P = 0.05), and other medications were not associated with COVID-19. CONCLUSION: The prevalence of COVID-19 in patients with IBD was similar to the household members. Only patients with IBD receiving anti-TNF monotherapy had a higher risk of COVID-19 susceptibility. This finding could be attributed to the higher exposure to the virus during administration in health care facilities.

Clinical Phenotype and Disease Course of Inflammatory Bowel Disease: A Comparison Between Sporadic and Familial Cases.

BACKGROUND: The role of genetic and environmental factors in inflammatory bowel disease's (IBD) clinical course is not fully clear. We aimed to assess the clinical phenotype, disease course, and prognosis of familial IBD in comparison with sporadic cases. METHODS: We conducted a prospective national matched case-control study of registered IBD patients in the Iranian Registry of Crohn's and Colitis (IRCC) recruited from 2017 until 2020. Sporadic and familial IBD patients were matched based on age, sex, and disease duration. Data on demographics, past medical disease, family history of IBD, disease type, clinical phenotype, extraintestinal manifestations, IBD medications, IBD activity using the IBD-control-8 questionnaire and the Manitoba IBD index, emergency visits in the past 12 months, admissions in the past 3 months, history of colon cancer, IBD-related surgeries, and aggressive phenotype were gathered. Variable distributions were compared between sporadic and familial cases. RESULTS: Overall, 5231 patients with ulcerative colitis (UC, 18.3% familial) and 1438 patients with Crohn's disease (CD, 16.7% familial) were registered in the IRCC. Age at diagnosis was similar between familial and sporadic cases. After matching, 3523 UC patients and 908 CD patients were enrolled in the study. Extraintestinal manifestations, UC extent, CD location and behavior, anti-TNF use, disease activity, colon cancer, IBD-related surgeries and the aggressive phenotype were similar between these sporadic and familial cases. CONCLUSIONS: The prevalence of familial UC and CD cases in Iran was more similar to western countries, and family history did not show a predictive value for disease phenotype, course, and outcomes in our study.

Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement.

High noise and low spatial resolution are two key confounding factors that limit the qualitative and quantitative accuracy of PET images. Artificial intelligence models for image denoising and deblurring are becoming increasingly popular for the postreconstruction enhancement of PET images. We present a detailed review of recent efforts for artificial intelligence-based PET image enhancement with a focus on network architectures, data types, loss functions, and evaluation metrics. We also highlight emerging areas in this field that are quickly gaining popularity, identify barriers to large-scale adoption of artificial intelligence models for PET image enhancement, and discuss future directions.

Efficacy and Safety of Tofacitinib for Treatment of Moderate to Severe Active Ulcerative Colitis: First Report from Iran.

BACKGROUND: Tofacitinib, a selective inhibitor of JAK/STAT pathway, has recently become available in our region. Here, we examined the safety and efficacy of tofacitinib in active ulcerative colitis (UC). METHODS: In a prospective, non-randomized, placebo-free, 52-week clinical trial defined in two phases of induction and maintenance, adult patients with active UC and no response or loss of response to previous conventional treatments, or anti-TNF were recruited (IRCT20181217042020N2). Patients received 10 mg/BID of tofacitinib for 8 weeks. Clinically responding patients were entered into the maintenance phase and received tofacitinib 5 mg/BID for 44 weeks. Clinical evaluation, biochemical tests and endoscopy at time points of baseline, 8, 24 and 52 weeks were performed. The primary outcome was clinical remission at 8 and 52 weeks. RESULTS: Fifty out of 53 enrolled patients completed the induction phase. Clinical response and clinical remission at 8 weeks occurred in 84% and 9.5%, respectively. Forty-two patients who had clinical response entered the maintenance phase. Clinical remission based on the total Mayo score and the partial Mayo score occurred in 38.9% and 55.3% at 24 weeks and in 61.1% and 72.2% at 52 weeks, respectively. There was significant correlation between the total and partial Mayo score with regard to clinical remission in both 24 and 52 weeks. No serious adverse events, no case of herpes zoster, but two cases of deep vein thrombosis were seen. CONCLUSIONS: Our study showed acceptable efficacy and safety for tofacitinib and suggested a correlation between the total Mayo score with partial Mayo score with regard to clinical remission.

Continuous Non-Invasive Glucose Monitoring via Contact Lenses: Current Approaches and Future Perspectives.

Diabetes mellitus (DM) is a chronic disease that must be carefully managed to prevent serious complications such as cardiovascular disease, retinopathy, nephropathy and neuropathy. Self-monitoring of blood glucose is a crucial tool for managing diabetes and, at present, all relevant procedures are invasive while they only provide periodic measurements. The pain and measurement intermittency associated with invasive techniques resulted in the exploration of painless, continuous, and non-invasive techniques of glucose measurement that would facilitate intensive management. The focus of this review paper is the existing solutions for continuous non-invasive glucose monitoring via contact lenses (CLs) and to carry out a detailed, qualitative, and comparative analysis to inform prospective researchers on viable pathways. Direct glucose monitoring via CLs is contingent on the detection of biomarkers present in the lacrimal fluid. In this review, emphasis is given on two types of sensors: a graphene-AgNW hybrid sensor and an amperometric sensor. Both sensors can detect the presence of glucose in the lacrimal fluid by using the enzyme, glucose oxidase. Additionally, this review covers fabrication procedures for CL biosensors. Ever since Google published the first glucose monitoring embedded system on a CL, CL biosensors have been considered state-of-the-art in the medical device research and development industry. The CL not only has to have a sensory system, it must also have an embedded integrated circuit (IC) for readout and wireless communication. Moreover, to retain mobility and ease of use of the CLs used for continuous glucose monitoring, the power supply to the solid-state IC on such CLs must be wireless. Currently, there are four methods of powering CLs: utilizing solar energy, via a biofuel cell, or by inductive or radiofrequency (RF) power. Although, there are many limitations associated with each method, the limitations common to all, are safety restrictions and CL size limitations. Bearing this in mind, RF power has received most of the attention in reported literature, whereas solar power has received the least attention in the literature. CLs seem a very promising target for cutting edge biotechnological applications of diagnostic, prognostic and therapeutic relevance.

Thrombotic Microangiopathy in Interferon-beta-Treated Multiple Sclerosis Patient.

A 43-year-old man who was treated with interferon-beta for multiple sclerosis was presented with hypertension, headache, nausea/vomiting, blurred vision, and renal dysfunction. The treatment with drugs and dialysis relieved the symptoms. Despite plasmapheresis is known to cause improvement in renal function, no such improvement was seen in patient.

Efficacy of Anti-TNF Therapy for the Treatment of Patients with Moderate-to-Severe Inflammatory Bowel Disease; a First Iranian Report.

BACKGROUND The anti-TNF drugs are shown to be highly effective in treatment of patients with moderate-tosevere inflammatory bowel disease (IBD). Here, we aimed to assess the efficacy and safety of antiTNF therapy at the national level. METHODS IBD patients aged 15 > years who received Infliximab and/or CinnoRA® between 2013 to July 2018 were identified. The data extracted from medical dossier and telephonic interview. The efficacy of therapy was defined as time to drug discontinuation or need for IBD-related surgery. The safety was assessed based on patient's reported adverse events. RESULTS We included 315 patients. The mean age of patients was 37.2 years and 62.2% of them developed the disease before age 30 years. Involvement of masculoskeletal system was reported in 7.3% of patients. Partial and complete response to Anti-TNF therapy was seen in 67% of patients. About 16% of patients did not respond to induction therapy and 16.9% of patients lost their response to Anti-TNF during one year. No serious adverse events, serious opportunistic infection, tuberculosis and malignancies reported by patients. Two patients reported pneumonia. CONCLUSION This study for the first time in our country, provides the evidences for efficacy of anti-TNF therapy in moderate to severe IBD patients.

A Supporting System for Management of Patients with Inflammatory Bowel Disease during COVID-19 Outbreak: Iranian Experience-Study Protocol.

BACKGROUND The COVID-19 pandemic has affected the health care infrastructure dramatically, with abundant resources necessarily being redirected to COVID-19 patients and their care. Also, patients with chronic diseases like inflammatory bowel disease (IBD) may be affected in several ways during this pandemic. METHODS We used the Iranian registry of Crohn's and colitis (IRCC) infrastructure. We called and sent messages to follow-up and support the care of all registered patients. Besides, we prepared and distributed educational materials for these patients and physicians to reduce the risk of COVID-19 infection. We risk-stratified them and prepared outpatient clinics and hospitalization guidance for IBD patients. RESULTS Of 13165 Iranian patients with IBD, 51 have been diagnosed as having COVID-19. IBD patients made 1920 hotline calls. Among the patients with suspicious presentations, 14 COVID-19 infections were diagnosed. Additionally, 1782 patients with IBD from five provinces actively phone-called among whom 28 definite cases were diagnosed. CONCLUSION IBD patients' follow-up could help in diagnosing the affected IBD patients with COVID-19. Additionally, the performance of protective actions and preparing the patients and physicians for decisive proceedings are the principles of protection of IBD patients.

Iranian Registry of Crohn's and Colitis: study profile of first nation-wide inflammatory bowel disease registry in Middle East.

BACKGROUND/AIMS: A recent study revealed increasing incidence and prevalence of inflammatory bowel disease (IBD) in Iran. The Iranian Registry of Crohn's and Colitis (IRCC) was designed recently to answer the needs. We reported the design, methods of data collection, and aims of IRCC in this paper. METHODS: IRCC is a multicenter prospective registry, which is established with collaboration of more than 100 gastroenterologists from different provinces of Iran. Minimum data set for IRCC was defined according to an international consensus on standard set of outcomes for IBD. A pilot feasibility study was performed on 553 IBD patients with a web-based questionnaire. The reliability of questionnaire evaluated by Cronbach's α. RESULTS: All sections of questionnaire had Cronbach's α of more than 0.6. In pilot study, 312 of participants (56.4%) were male and mean age was 38 years (standard deviation=12.8) and 378 patients (68.35%) had ulcerative colitis, 303 subjects (54,7%) had college education and 358 patients (64.74%) were of Fars ethnicity. We found that 68 (12.3%), 44 (7.9%), 13 (2.3%) of participants were smokers, hookah and opium users, respectively. History of appendectomy was reported in 58 of patients (10.48%). The most common medication was 5-aminosalicylate (94.39%). CONCLUSIONS: To the best of our knowledge, IRCC is the first national IBD registry in the Middle East and could become a reliable infrastructure for national and international research on IBD. IRCC will improve the quality of care of IBD patients and provide national information for policy makers to better plan for controlling IBD in Iran.

Prevalence, Awareness, Treatment, Control, and Correlates of Hypertension in the Pars Cohort Study.

BACKGROUND: High blood pressure is an important risk factor for all-cause mortality and cardiovascular mortality and morbidity among Iranians. We aimed to estimate its prevalence, correlates, and its rate of awareness, treatment, and control in South of Iran. METHODS: The Pars Cohort Study (PCS) was launched in a district of Fars province. All residents between 40 and 75 years old in the district were recruited from 2012 to 2014. Hypertension was defined as either systolic/diastolic blood pressure ≥ 140/90 mm Hg or taking medications. Logistic regression was used to identify the correlates of hypertension and awareness and its treatment and control. A total of 9264 participants were recruited. Of the total participants, 46.2% were men. The mean age was 52.6 years (SD: 9.7). RESULTS: Prevalence of hypertension was 26.9%. Of the total 2489 hypertensives, 49.6% were aware and 55.7% were under treatment. Blood pressure was controlled in 69.2% of treated hypertensives. In the adjusted model, female sex and history of cardiovascular disease (CVD) were positively associated with having hypertension, higher awareness, and better treatment and control. Older age, being overweight or obese, and having a history of diabetes were also positively associated with having hypertension and higher awareness and treatment; however, being overweight or obese was associated with poorer hypertension control. Older age and having a history of diabetes did not show a statistically significant association with control. CONCLUSION: Being underweight and higher physical activity were inversely associated with having hypertension but were not associated with awareness, treatment, or control. Prevalence of hypertension is high but the rates of awareness, treatment, and control are not adequate.

Design Lessons From the Analysis of Nurse Journeys in a Hospital Ward.

OBJECTIVE:: The objective is to establish design strategies to help minimize nurse journeys and inform future decision-making. The impact of the ward layout was investigated through a case study ward in a multispecialty hospital in Tehran. BACKGROUND:: Nurse teams have the most direct contact with ward patients. Time spent on activities not part of care provision should be minimized. Literature suggests that a significant part of nurses' time is spent moving between different places within wards, which emphasizes the importance of ward layout. METHODS:: The ethnographic method was adopted for observing nurses' actions based on routes that form a significant share of nurses' daily journeys. Data were collected from 42 nursing staff over 120 hr during different shifts. This provided empirical data on the frequency of each journey which revealed meaningful patterns. Approximately 1,300 room-to-room journeys were made. Conclusions were drawn about the criticality of each route. RESULTS:: There is a significant difference between the frequencies of different routes in the case study ward. The distances between origins and destinations of the most frequently used journeys must remain minimal. Awareness of less frequent routes allows for greater flexibility in ward design. CONCLUSION:: Arrangement of ward spaces can minimize journey times. Healthcare planners and designers can explore the implications of chosen systems on walking distance and, consequently, the nursing staff productivity. For existing wards, rearrangement of space utilization can improve staff productivity. The recommendations can be applied wherever productivity is influenced by walking distances.

Non-high-density lipoprotein fractions are strongly associated with the presence of metabolic syndrome independent of obesity and diabetes: a population-based study among Iranian adults.

BACKGROUND: Non-HDL-C as a valuable predictor of premature atherosclerosis, coronary events like first Myocardial infarction and cardiovascular mortality has a high accuracy of measurement both in fasting and non-fasting individuals. Metabolic syndrome (MetS) can promote the development of diabetes mellitus, endothelial dysfunction and atherosclerosis. A common pathway for cross linking of metabolic abnormalities and non-HDL-C has been suggested. In this study we aimed to describe the potential association between non-HDL cholesterol fractions and metabolic syndrome. METHODS: Data of third national surveillance of the risk factors of non-communicable diseases (SuRFNCD-2007) were analyzed. We defined metabolic syndrome (MetS) according to the Adult Treatment Panel III (ATPIII) and International Diabetes Federation (IDF) criteria for 2125 subjects aging 25-64 years. The receiver operating characteristic (ROC) curves were used to determine the optimal cut-points for the diagnosis of MetS. The curves were depicted for non-high-density lipoprotein cholesterol (non-HDL-C) and difference of total non-HDL-C and LDL-C (Differential cholesterol or Diff-C) as predictors of MetS. Logistic regression was also performed in a complex sample analysis scheme. RESULTS: The area under the curve (AUC) with 95% Confidence intervals of total non-HDL-C was computed. Values were 0.693 (0.670-0.715) for IDF-defined MetS and 0.719 (0.697-0.740) for ATPIII criteria. The optimal non-HDL-C cut-point we recommend for both criteria is 153.50 mg/dl (sensitivity: 75.7%, specificity: 57.2%, with ATPIII; sensitivity: 73.2%, specificity: 57.1%, with IDF). Using IDF criteria, the accuracy of predictors were greater in non-diabetic subjects. AUC of Diff-C in DM (-) vs. DM (+) were 0.786 (0.765-0.807) vs. 0.627(0.549-0.705). Adults with high non-HDL-C were 4.42 times more likely to have ATPIII-defined MetS (≥190 vs. < 190 mg/dL). Elevated Diff-C corresponded to increased risk of the MetS (ORs: 10.71 and 26.29 for IDF and ATP III criteria, respectively. All P-values <0.001). CONCLUSIONS: A significant robust association exists between non-HDL-C and MetS whether applying conventional or new thresholds.

Clinical Clerkship Education Improves With Implementing a System of Internal Program Evaluation Using Medical Students' Feedbacks.

Quality of clinical education for medical students has always been a concern in academic medicine. This concern has increased in today's time-squeeze while faculty members have to fulfill their complementary roles as a teacher, researcher, and practitioner. One of the strategies for program evaluation is obtaining trainees' feedbacks since they are the main customers of educational programs; however, there are debates about the efficacy of student feedback as a reliable source for reforms. We gathered Likert scores on a 16-item questionnaire from 2,771 medical students participating in all clerkship programs in a multidisciplinary teaching hospital. An expert panel consisting of 8 attending physicians established content validity of the questionnaire while a high Cronbach's Alpha (0.93) proved its reliability. Summary reports of these feedbacks were presented to heads of departments, clerkship program directors, and hospital administrators, at the end of each semester. Analysis of variance was used for comparing hospital scores across different time periods and different departments. Significant changes (P<0.001) were observed in mean scores between different semesters (partial η2=0.090), different departments (partial η2=0.149) as well as the interaction term between departments and semesters (partial η2=0.111). A significant improvement in mean clinical education score is noticeable after three semesters from the beginning of the survey. Periodic, systematic trainee's feedback to program directors can lead to an improved educational performance in teaching hospitals.

Emerging Epidemic of Inflammatory Bowel Disease in a Middle Income Country: A Nation-wide Study from Iran.

BACKGROUND: The burden of inflammatory bowel disease (IBD) hasn't been reported in Iran. We aimed to estimate the prevalence and incidence of IBD and its trend in Iran at national and subnational level from 1990 to 2012. METHODS: We conducted a systematic review of English and Persian databases about the epidemiology of IBD. We also collected outpatient data from 17 provinces of Iran using almost all public and private referral gastroenterology clinics. Prevalence and incidence rate was calculated at national and subnational levels. The Kriging method was used to extrapolate provinces with missing data and GPR model to calculate time trends of rates at subnational level. RESULTS: We found 16 case series, two population-based studies, and two review articles. We collected 11,000 IBD cases from outpatient databases. Among them, 9,269 (84.26%) had ulcerative colitis (UC), 1,646 (14.96%) had Crohn's disease (CD), and 85 had intermediate colitis (IC). A total of 5,452 (49.56%) patients were male. Mean age at diagnosis was 32.80 years (CI: 13 - 61) for UC and 29.98 years (CI: 11 - 58) for CD. Annual incidences of IBD, UC, and CD in 2012 were 3.11, 2.70, and 0.41 per 100,000 subjects respectively. Prevalence of IBD, UC, and CD in 2012 were 40.67, 35.52, and 5.03 per 100,000 subjects respectively. The incidence of UC and CD showed a significant increase during the study period (P for trend < 0.05). CONCLUSIONS: The incidence and prevalence of IBD are increasing in Iran. Establishing a national IBD registry seems necessary for comprehensive care of IBD patients in Iran.