Development of a gastric cancer risk calculator for questionnaire-based surveillance of Iranian dyspeptic patients.

BACKGROUND: Gastric cancer (GC) is considered a silent killer, taking more than three quarters of a million lives annually. Therefore, prior to further costly and invasive diagnostic approaches, an initial GC risk screening is desperately in demand. METHODS: In order to develop a simple risk scoring system, the demographic and lifestyle indices from 858 GC and 1132 non-ulcer dyspeptic (NUD) patients were analysed. We applied a multivariate logistic regression approach to identify the association between our target predictors and GC versus NUD. The model performance in classification was assessed by receiver operating characteristic (ROC) analysis. Our questionnaire covering 64 predictors, included known risk factors, such as demographic features, dietary habits, self-reported medical status, narcotics use, and SES indicators. RESULTS: Our model segregated GC from NUD patients with the sensitivity, specificity, and accuracy rates of 85.89, 63.9, and 73.03%, respectively, which was confirmed in the development dataset (AUC equal to 86.37%, P < 0.0001). Predictors which contributed most to our GC risk calculator, based on risk scores (RS) and shared percentages (SP), included: 1) older age group [> 70 (RS:+ 241, SP:7.23), 60-70 (RS:+ 221, SP:6.60), 50-60 (RS:+ 134, SP:4.02), 2) history of gastrointestinal cancers (RS:+ 173, SP:5.19), 3) male gender (RS:+ 119, SP:3.55), 4) non-Fars ethnicity (RS:+ 89, SP:2.66), 5) illiteracy of both parents (RS:+ 78, SP:2.38), 6) rural residence (RS:+ 77, SP:2.3), and modifiable dietary behaviors (RS:+ 32 to + 53, SP:0.96 to 1.58). CONCLUSION: Our developed risk calculator provides a primary screening step, prior to the subsequent costly and invasive measures. Furthermore, public awareness regarding modifiable risk predictors may encourage and promote lifestyle adjustments and healthy behaviours.

Contributors to fatigue among nurses working in critical care units: A qualitative study.

BACKGROUND: Fatigue is a growing concern among nurses who provide care to unstable and critically ill patients in critical care wards. It has various negative consequences for both nurses and patients. AIM: To explore and describe contributors to fatigue among nurses working in critical care units. STUDY DESIGN: A qualitative content analysis. RESULTS: Participants were 21 nurses chosen using purposeful sampling. They were working in different critical care units at different hospitals in nine urban areas of Iran. Semi-structured interviews were used to collect data, and conventional content analysis was used to develop categories and subcategories. The analysis of data on the nurses' perspectives and experiences led to developing nine categories as contributors to fatigue: 'compassion fatigue', 'extensive network of interactions', 'sound and alarm fatigue', 'psychological tensions', 'managerial and organizational tensions', 'lack of motivation and incentives', 'individual characteristics of nurses', 'physical and mental pressure', and requirements of special care and situational complexity'. CONCLUSIONS: Understanding the factors that influence the experience of fatigue among nurses working in critical care units is essential for maintaining a reliable and high-quality health care environment within health care facilities. RELEVANCE TO CLINICAL PRACTICE: The experience of fatigue by critical care nurses can increase the possibility of practice errors, reduce patient safety and quality of care, and enhance staff burnout and turnover. Proactive policies should be formulated to assess nurses' fatigue levels and implement strategies for effective fatigue management. This approach aims to enhance both patient safety and job satisfaction in the workplace.

Clinical and immunological characteristics of 69 leukocyte adhesion deficiency-I patients.

BACKGROUND: In order to support the comprehensive classification of Leukocyte Adhesion Deficiency-I (LAD-I) severity by simultaneous screening of CD11a/CD18, this study assessed clinical, laboratory, and genetic findings along with outcomes of 69 LAD-I patients during the last 15 years. METHODS: Sixty-nine patients (40 females and 29 males) with a clinical phenotype suspected of LAD-I were referred to Immunology, Asthma, and Allergy research institute, Tehran, Iran between 2007 and 2022 for further advanced immunological screening and genetic evaluations as well as treatment, were enrolled in this study. RESULTS: The diagnosis median age of the patients was 6 months. Delayed umbilical cord separation was found in 25 patients (36.2%). The median diagnostic delay time was 4 months (min-max: 0-82 months). Forty-six patients (66.7%) were categorized as severe (CD18 and/or CD11a: below 2%); while 23 children (33.3%) were in moderate category (CD18 and/or CD11a: 2%-30%). During the follow-ups, 55.1% of children were alive with a mortality rate of 44.9%. Skin ulcers (75.4%), omphalitis (65.2%), and gingivitis (37.7%) were the most frequent complaints. Genetic analysis of the patients revealed 14 previously reported and three novel pathogenic mutations in the ITGB2 gene. The overall survival of patients with and without hematopoietic stem cell transplantation was 79.3% and 55.6%, respectively. CONCLUSION: Physicians' awareness of LAD-I considering delayed separation of umbilical cord marked neutrophilic leukocytosis, and variability in CD11 and CD18 expression levels, and genetic analysis leads to early diagnosis and defining disease severity. Moreover, the prenatal diagnosis would benefit families with a history of LAD-I.

A Bayesian latent class extension of naive Bayesian classifier and its application to the classification of gastric cancer patients.

BACKGROUND: The Naive Bayes (NB) classifier is a powerful supervised algorithm widely used in Machine Learning (ML). However, its effectiveness relies on a strict assumption of conditional independence, which is often violated in real-world scenarios. To address this limitation, various studies have explored extensions of NB that tackle the issue of non-conditional independence in the data. These approaches can be broadly categorized into two main categories: feature selection and structure expansion. In this particular study, we propose a novel approach to enhancing NB by introducing a latent variable as the parent of the attributes. We define this latent variable using a flexible technique called Bayesian Latent Class Analysis (BLCA). As a result, our final model combines the strengths of NB and BLCA, giving rise to what we refer to as NB-BLCA. By incorporating the latent variable, we aim to capture complex dependencies among the attributes and improve the overall performance of the classifier. METHODS: Both Expectation-Maximization (EM) algorithm and the Gibbs sampling approach were offered for parameter learning. A simulation study was conducted to evaluate the classification of the model in comparison with the ordinary NB model. In addition, real-world data related to 976 Gastric Cancer (GC) and 1189 Non-ulcer dyspepsia (NUD) patients was used to show the model's performance in an actual application. The validity of models was evaluated using the 10-fold cross-validation. RESULTS: The presented model was superior to ordinary NB in all the simulation scenarios according to higher classification sensitivity and specificity in test data. The NB-BLCA model using Gibbs sampling accuracy was 87.77 (95% CI: 84.87-90.29). This index was estimated at 77.22 (95% CI: 73.64-80.53) and 74.71 (95% CI: 71.02-78.15) for the NB-BLCA model using the EM algorithm and ordinary NB classifier, respectively. CONCLUSIONS: When considering the modification of the NB classifier, incorporating a latent component into the model offers numerous advantages, particularly within medical and health-related contexts. By doing so, the researchers can bypass the extensive search algorithm and structure learning required in the local learning and structure extension approach. The inclusion of latent class variables allows for the integration of all attributes during model construction. Consequently, the NB-BLCA model serves as a suitable alternative to conventional NB classifiers when the assumption of independence is violated, especially in domains pertaining to health and medicine.

A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis.

BACKGROUND: Missing data is a pervasive problem in longitudinal data analysis. Several single-imputation (SI) and multiple-imputation (MI) approaches have been proposed to address this issue. In this study, for the first time, the function of the longitudinal regression tree algorithm as a non-parametric method after imputing missing data using SI and MI was investigated using simulated and real data. METHOD: Using different simulation scenarios derived from a real data set, we compared the performance of cross, trajectory mean, interpolation, copy-mean, and MI methods (27 approaches) to impute missing longitudinal data using parametric and non-parametric longitudinal models and the performance of the methods was assessed in real data. The real data included 3,645 participants older than 18 years within six waves obtained from the longitudinal Tehran cardiometabolic genetic study (TCGS). The data modeling was conducted using systolic and diastolic blood pressure (SBP/DBP) as the outcome variables and included predictor variables such as age, gender, and BMI. The efficiency of imputation approaches was compared using mean squared error (MSE), root-mean-squared error (RMSE), median absolute deviation (MAD), deviance, and Akaike information criteria (AIC). RESULTS: The longitudinal regression tree algorithm outperformed based on the criteria such as MSE, RMSE, and MAD than the linear mixed-effects model (LMM) for analyzing the TCGS and simulated data using the missing at random (MAR) mechanism. Overall, based on fitting the non-parametric model, the performance of the 27 imputation approaches was nearly similar. However, the SI traj-mean method improved performance compared with other imputation approaches. CONCLUSION: Both SI and MI approaches performed better using the longitudinal regression tree algorithm compared with the parametric longitudinal models. Based on the results from both the real and simulated data, we recommend that researchers use the traj-mean method for imputing missing values of longitudinal data. Choosing the imputation method with the best performance is widely dependent on the models of interest and the data structure.

Development and psychometric properties of Iranian Women's Quality of Life Instrument (IWQOLI): mixed exploratory study.

BACKGROUND: To determine the health needs and promote women's health, their quality of life should be investigated. For this purpose, a valid tool is needed, that has credible validity and reliability, and its concepts are clearly defined and culturally appropriate. This study aimed to develop and assess the psychometric properties of "Iranian Women's Quality of Life Instrument (IWQOLI)". METHODS: The items of "IWQOLI" were generated from themes extracted (150 items) from a content analysis approach with the participation of 40 women. Face validity of the questionnaire with the participation of 10 women and content validity by 10 experts was approved. To determine the domains of the questionnaire, exploratory factor analysis (principal component extraction method) was performed. Internal consistency and test-retest reliability methods with 14-day intervals (30 women) were used to assess the reliability of WQOLI. RESULTS: After performing the face and content validity, 32 items were deleted. S-CVI/Ave was obtained for the instrument (0.93). The factor structure of the inventory was identified by undertaking a principal component analysis in a sample of 590 women. Five factors were extracted with a total variance account of 56.24% and 28 items dropped at this point. The IWQOLI score was significantly correlated with the SF-36 (r = 0.717, p < 0.001). Reliability was demonstrated with Cronbach's alpha coefficient of 0.919 for the entire scale (90-item). Consistency of the instrument was established with test-retest reliability with an interval of 2 weeks (intra-cluster correlation = 0.889, P < 0.001). CONCLUSIONS: The Iranian women's Quality of life Instrument "IWQOLI", consisting of 90 items representing 5 domains (sense of peace in life, sense of security, health responsibility, pleasant communication, received comprehensive support), demonstrated excellent psychometric properties, so it may be used for measuring women's QOL in practical research.

Therapy-based expert system on function and postural stability after anterior cruciate ligament reconstruction: a pilot study.

PURPOSE: Wii Fit exergames have been less commonly used for the rehabilitation of athletes after Anterior Cruciate Ligament Reconstruction (ACLR). This study aims to investigate the effects of an expert system using Wii Fit exergames compared to conventional rehabilitation following ACLR. A forward-chaining rule-based expert system was developed which proposed a rehabilitation program that included the number and type of exercise in terms of difficulty and ease and the duration of each exercise in a progressive manner according to the patient's physical condition. MATERIALS AND METHODS: Twenty eligible athletes aged 20-30 who underwent ACLR were enrolled in this study and randomly assigned to two groups; and received 12 sessions of either Wii Fit exergames as Wii group (n = 10) or conventional rehabilitation as CL group (n = 10). RESULTS: The main outcomes consisted of pain (Visual Analogue Scale (VAS)), knee effusion, knee flexion range (KFR), thigh girth (TG), single-leg hop for distance (SLHD), and for time (SLHT), static and dynamic balance tests. Both groups had considerable improvement in all outcomes, also there were significantly differences between Wii and CL groups as follows; VAS (P < 0.001), knee effusion (P < 0.001), TG (P = 0.001), KFR (P = 0.012), static balance in stable position (P < 0.001) and in unstable position (P = 0.001), dynamic balance in the anterior (P < 0.001), posteromedial (P < 0.001), posterolateral (P = 0.004) directions, symmetry index of SLHD (P < 0.001) and symmetry index of SLHT (P = 0.013). CONCLUSIONS: The findings showed that using Wii Fit exergames in post-ACLR patients reduced pain and effusion while also improving function and balance significantly. Iranian Registry of Clinical Trials registration number is IRCT20191013045090N1, and the registration date is 03-03-2020.

Maternal mental health concerns during the COVID-19 pandemic in Iran: a content analysis study.

BACKGROUND: As crises occur, attention to physical health usually becomes more than mental health, neglecting mental health, especially in some vulnerable groups such as pregnant women and new mothers, can have adverse consequences. Therefore, it is imperative to recognize and comprehend their mental health needs, particularly during critical situations such as the recent COVID-19 pandemic. The aim of this study was to explain the understanding and experience of mental health concerns faced by pregnant and postpartum women during this pandemic. METHODS: This qualitative study was conducted from March 2021 to November 2021 in Iran. Data were collected using semi-structured in-depth interviews to understand mental health concerns in pregnancy and the postpartum period during the COVID-19 pandemic. Twenty-five purposefully retrieved and participated in the study. Due to the prevalence of coronavirus, most of the participants preferred tele interviews. When data saturation was achieved, the data were codified manually and analyzed using Graneheim and Lundman's approach 2004. RESULTS: Based on the content analysis of the interviews, 2 main themes, 8 categories 23 subcategories were identified. The identified themes were as follows: (1) Maternal mental health threats and (2) Inadequate access to the required information. CONCLUSION: The results of this study showed that the main concern and fear of pregnant and postpartum women in the COVID-19 pandemic was the fear of the possibility of death for themselves and/or their fetus/infant. The knowledge that was obtained from the understanding of pregnant women and new mothers about the mental health concerns during the COVID-19 pandemic can help managers in planning to improve and promote women's mental health, especially in critical situations.

The spousal role of middle-aged Iranian women: A qualitative content-analysis study.

This study aimed to explain the spousal role in the lives of Iranian middle-aged women. This qualitative study was conducted in Iran from July 2018 to November 2019. The participants included 25 middle-aged women selected through purposive sampling. The data were collected using semi-structured interviews and analyzed through conventional content analysis. The theme of reviving the spousal role was explained by three main categories of paying more attention to the spouse's needs, enhancing feminine charms, and maintaining married life. A deeper understanding of the middle-aged women's spousal role may help health-care personnel to develop indigenous marriage-enrichment programs for middle-aged individuals.

The Intention of Waterpipe Tobacco Smoking by Women in the COVID-19 Pandemic and its Contributing Factors: a Nonparametric Path Analysis.

Background: People with waterpipe tobacco smoking (WTS) seem to be more at risk for the serious complications of coronavirus disease 2019 (COVID-19). This study aimed at assessing the behavioral intention (BI) of WTS by women in the COVID-19 pandemic and its contributing factors. Methods: This cross-sectional descriptive-correlational study was conducted in 2020 (ie, during the COVID-19 pandemic). Participants were 300 women randomly selected through multistage sampling from comprehensive healthcare centers in Khorramabad, Iran. Data collection instrument was a 42-item questionnaire with 4 main subscales, namely knowledge, attitude, differential association, and BI. Data were collected through both online and phone-based methods and were analyzed using non-parametirc path analysis. Results: The prevalence of WTS among women was 13% (95% CI, 11.06-14.94) and the mean scores of attitude, differential association, and behavioral intention among participants with WTS were significantly higher than participants without WTS (P < 0.001). Moreover, 46.12% (95% CI, 38.12-54.08) of participants with WTS reported intention to quit WTS due to the COVID-19 pandemic and 43.6% (95% CI, 35.66-51.54) of women with WTS and 16.5% (95% CI, 14.20-18.80) of women without WTS believed in the protective effects of WTS against COVID-19. The path analysis model showed that the BI of WTS had a significant inverse relationship with knowledge and a significant direct relationship with attitude and differential association. Conclusion: This study suggests the need for quality educational and counseling interventions for the general public to correct popular misconceptions about the protective effects of WTS against COVID-19.

Molecular profile of specific IgE to allergenic components in allergic adults using allergen nano-bead array.

BACKGROUND: An increasing interest in the field of molecular diagnosis of allergy has been developed in recent years and it goes to be as the routine in vitro protocol in allergy diagnosis. friendly allergen nano-bead array (FABER) is a new multiplex assay for the evaluation of specific IgE against 244 allergens including whole extracts and allergenic molecules. The research intended to assess the pattern of IgE sensitization to allergenic components of allergens in allergic adults using FABER 244. METHODS: Sixty patients with allergic diseases entered this cross-sectional study. Specific IgE to 122 whole allergens extracts and 122 allergenic components were assessed using an allergen nano-bead array (FABER) for all patients. This test includes inhalant and food allergens. RESULTS: Thirty-seven patients were male (61.7%). The mean (SD) age of patients was 30.73(±6.87) years. As the allergen nano-bead array results showed, Lolium perenne (63.3%), Phleum pratense (60%) and Platanus acerifolia (51.7%) were considered as the most common IgE sensitizations to the aeroallergen extracts. Moreover, Lol p 1, Phl p 1.0102 and Cup a 1 were found as the most frequent allergenic components in our allergic patients. Among protein families, CCD-bearing proteins, expansin, cysteine protease and profilin families illustrated the highest allergic sensitization. CONCLUSIONS: The results of the present study demonstrated that despite the higher prevalence of sensitization to Salsola kali (47.2%) using extract-based assays in the previous phase of this research, allergenic components of grasses (Lol p 1, Phl p 1.0102), Cup a 1 as well as Sal k1 as the major components of Cupressuss arizonica and Salsola kali showed the higher sensitization, respectively, in adults' allergic patients using FABER test.

Clustering of countries according to the COVID-19 incidence and mortality rates.

BACKGROUND: Two years after the beginning of the COVID-19 pandemic on December 29, 2021, there have been 281,808,270 confirmed cases of COVID-19, including 5,411,759 deaths. This information belongs to almost 216 Countries, areas, or territories facing COVID-19. The disease trend was not homogeneous across these locations, and studying this variation is a crucial source of information for policymakers and researchers. Therefore, we address different patterns in mortality and incidence of COVID-19 across countries using a clustering approach. METHODS: The daily records of new cases and deaths of 216 countries were available on the WHO online COVID-19 dashboard. We used a three-step approach for identifying longitudinal patterns of change in quantitative COVID-19 incidence and mortality rates. At the first, we calculated 27 summary measurements for each trajectory. Then we used factor analysis as a dimension reduction method to capture the correlation between measurements. Finally, we applied a K-means algorithm on the factor scores and clustered the trajectories. RESULTS: We determined three different patterns for the trajectories of COVID-19 incidence and the three different ones for mortality rates. According to incidence rates, among 206 countries the 133 (64.56) countries belong to the second cluster, and 15 (7.28%) and 58 (28.16%) belong to the first and 3rd clusters, respectively. All clusters seem to show an increased rate in the study period, but there are several different patterns. The first one exhibited a mild increasing trend; however, the 3rd and the second clusters followed the severe and moderate increasing trend. According to mortality clusters, the frequency of sets is 37 (18.22%) for the first cluster with moderate increases, 157 (77.34%) for the second one with a mild rise, and 9 (4.34%) for the 3rd one with severe increase. CONCLUSIONS: We determined that besides all variations within the countries, the pattern of a contagious disease follows three different trajectories. This variation looks to be a function of the government's health policies more than geographical distribution. Comparing this trajectory to others declares that death is highly related to the nature of epidemy.

Maternal serum adiponectin and leptin levels and their gene expression, postpartum body mass index, and breastfeeding duration based on mode of delivery: A prospective study.

BACKGROUND: Adipokines are involved in inflammatory responses, associated with body mass index whose concentrations may change in response to inflammatory conditions, including surgery and delivery. We examined adiponectin and leptin levels and their gene expression at birth, body mass index, and breastfeeding duration at 24 months postpartum according to mode of delivery. METHODS: In this study, 90 normal pregnant women were investigated. Blood samples were collected after delivery. Serum levels and gene expression of adiponectin and leptin were evaluated. Body mass index and breastfeeding duration were calculated at 24 months postpartum. Data were analyzed using SPSS-16 and p < 0.05 was considered as significant. RESULTS: Serum leptin level was significantly higher in vaginal delivery than in cesarean section (p = 0.033). No significant difference was found between two groups regarding adiponectin level and gene expression, while leptin gene expression was significantly higher in cesarean (p = 0.005). Postpartum body mass index did not differ between the two groups (p = 0.14). On the other hand, postpartum body mass index was significantly higher than the equivalent prepregnancy index in both groups (p < 0.001) and was associated with serum leptin and adiponectin in vaginal delivery (r = 0.46, p = 0.001, and r = -0.3, p = 0.04, respectively). The duration of breastfeeding was longer in vaginal delivery (p = 0.008). CONCLUSION: Cesarean section was associated with lower maternal leptin levels and shorter breast-feeding duration compared to vaginal delivery. Leptin gene expression was significantly higher in cesarean section than in vaginal delivery. Postpartum body mass index, adiponectin level, and gene expression did not differ between the two groups.

Relationship between the morphology and composition of the lumbar paraspinal and psoas muscles and lumbar intervertebral motion in chronic low-back pain: An exploratory study.

Muscles of the lumbar spine play an important role in controlling segmental intervertebral motion. This study aimed to evaluate the association between lumbar intervertebral motion and changes in lumbar morphology/composition in people with chronic low-back pain (CLBP). A sample of 183 patients with CLBP participated in this cross-sectional study. Participants underwent lumbar flexion-extension X-rays to determine vertebral motion (translational and/or rotational motion) of lumbar levels (L1-L2 to L5-S1) and lumbar spine magnetic resonance imaging to quantify total and functional cross-sectional areas (CSAs) and asymmetry of the multifidus (MF), lumbar erector spinae (LES), and psoas muscles. The relationship between morphology/composition of the muscles and lumbar intervertebral motion was investigated. Smaller total and functional CSAs of the MF and greater CSAs of the LES muscle were observed in participants with greater intervertebral motion. Muscle asymmetry was observed at different lumbar vertebral levels. The greatest amount of translational intervertebral motion was observed at the L3-L4 level, while the greatest amount of rotational translation occurred at the L4-L5. Associations were observed between the morphology of the paraspinal muscles at the vertebral levels adjacent to the L3-L4 level and the increased intervertebral motion at this level. Relationships between measures of muscle morphology/composition and increased segmental vertebral motion were observed. The results may provide a plausible biological reason for the effectiveness of rehabilitating deficient paraspinal muscles in a subset of people with CLBP.

The role of personal factors in quality of life among Iranian women with vaginismus: a path analysis.

BACKGROUND: The aim of this study was to provide a path model for assessing the direct and/or indirect effects of psychological/behavioral parameters on health-related quality of life among women with vaginismus. METHODS: A cross-sectional study was conducted on a sample of 236 women with vaginismus disorder attending to sex clinics in Tehran, Iran from April 2017 to March 2018. Data were collected using a demographic questionnaire, the marital satisfaction scale, the hospital anxiety and depression scale, the rosenberg self-esteem scale, the body image concern inventory, the short-form health survey (SF-12) and the female sexual quality of life questionnaire. In addition to descriptive statistical data, the fitness of the proposed model was investigated using path analysis. RESULTS: The results of path analysis demonstrated that the final model had a good fit to the data (Chi-Square/degrees of freedom (Normed Chi2) = 2.12, root mean square error of approximation = 0.069, goodness fit index = 0.99, both comparative fit index = 0.99 and Tucker-Lewis index = 0.96). In this model, anxiety and depression significantly predicted health-related quality of life as measured by the SF-12. CONCLUSIONS: Anxiety and depression are important components in predicting health-related quality of life among those suffering from vaginismus.

Sexual function, mental health, and quality of life under strain of COVID-19 pandemic in Iranian pregnant and lactating women: a comparative cross-sectional study.

BACKGROUND: The impact of COVID-19 pandemic on mental health of pregnant and lactating women is unclear. This study aimed to assess the impact of COVID-19 on psychological health, sexual function, and quality of life (QoL) in Iranian pregnant and lactating women and compare the results with non-pregnant/non-lactating women. METHOD: This comparative cross-sectional study was carried out on pregnant and lactating women, with non-pregnant/non-lactating women from May to Jun 2020. Patients were asked to complete three questionnaires: Hospital Anxiety and Depression Scale (HADS), Female Sexual Function Index (FSFI), and Short-Form Health Survey (SF-12). One-way ANOVA was used to reveal the statistical differences between the three groups. RESULT: The mean age of patients was 20.81 ± 5.92 years old. The mean (SD) score of HADS in pregnant, lactating and non-pregnant / non-lactating women were 12.11 (6.72), 11.98 (8.44) and 9.38 (6.2) respectively, and the results showed that the scores in pregnant, lactating women were higher than non-pregnant / non-lactating women (P < 0.001). Also the mean (SD) score of QOL and FSFI was 68.29 (9.47), 74.18 (12.65), 79.03 (10.48) and 22.71 (8.16), 22.72 (8.16), 26.19 (3.93) in three groups and the scores in pregnant, lactating women were lower than non-pregnant/non-lactating women (P < 0.001). CONCLUSION: The COVID-19 epidemic increases the risk of depression, anxiety, FSD, and lowers QoL in pregnant and lactating women, with the general population. This suggests the urgent need for psychological intervention in the maternal population during the epidemic.

Traditional vs Extended Hybrid Cardiac Rehabilitation Based on the Continuous Care Model for Patients Who Have Undergone Coronary Artery Bypass Surgery in a Middle-Income Country: A Randomized Controlled Trial.

OBJECTIVE: To compare traditional (1-month supervised) vs hybrid cardiac rehabilitation (CR; usual care) with an additional 3 months offered remotely based on the continuous care model (intervention) in patients who have undergone coronary artery bypass graft (CABG). DESIGN: Randomized controlled trial, with blinded outcome assessment. SETTING: A major heart center in a middle-income country. PARTICIPANTS: Of 107 eligible patients who were referred to CR during the period of study, 82.2% (N=88) were enrolled (target sample size). Participants were randomly assigned 1:1 (concealed; 44 per parallel arm). There was 92.0% retention. INTERVENTIONS: After CR, participants were given a mobile application and communicated biweekly with the nurse from months 1-4 to control risk factors. MAIN OUTCOME MEASURES: Quality of life (QOL, Short Form-36, primary outcome); functional capacity (treadmill test); and the Depression, Anxiety and Stress Scale were evaluated pre-CR, after 1 month, and 3 months after CR (end of intervention), as well as rehospitalization. RESULTS: The analysis of variance interaction effects for the physical and mental component summary scores of QOL were <.001, favoring intervention (per protocol); there were also significant increases from pre-CR to 1 month, and from 1 month to the final assessment in the intervention arm (P<.001), with change in the control arm only to 1 month. The effect sizes were 0.115 and 0.248, respectively. Similarly, the interaction effect for functional capacity was significant (P<.001), with a clinically significant 1.5 metabolic equivalent of task increase in the intervention arm. There were trends for group effects for the psychosocial indicators, with paired t tests revealing significant increases in each at both assessment points in the intervention arm. At 4 months, there were 4 (10.3%) rehospitalizations in the control arm and none in intervention (P=.049). Intended theoretical mechanisms were also affected by the intervention. CONCLUSIONS: Extending CR in this accessible manner, rendering it more comprehensive, was effective in improving outcomes.

Diagnostic performance of classification trees and hematological functions in hematologic disorders: an application of multidimensional scaling and cluster analysis.

BACKGROUND: Several hematological indices have been already proposed to discriminate between iron deficiency anemia (IDA) and ß-thalassemia trait (ßTT). This study compared the diagnostic performance of different hematological discrimination indices with decision trees and support vector machines, so as to discriminate IDA from ßTT using multidimensional scaling and cluster analysis. In addition, decision trees were used to determine the diagnostic classification scheme of patients. METHODS: Consisting of 1178 patients with hypochromic microcytic anemia (708 patients with ßTT and 470 patients with IDA), this cross-sectional study compared the diagnostic performance of 43 hematological discrimination indices with classification tree algorithms and support vector machines in order to discriminate IDA from ßTT. Moreover, multidimensional scaling and cluster analysis were used to identify the homogeneous subgroups of discrimination methods with similar performance. RESULTS: All the classification tree algorithms except the LOTUS tree algorithm showed acceptable accuracy measures for discrimination between IDA and ßTT in comparison with other hematological discrimination indices. The results indicated that the CRUISE and C5.0 tree algorithms had better diagnostic performance and efficiency among other discrimination methods. Moreover, the AUC of CRUISE and C5.0 tree algorithms indicated more precise classification with values of 0.940 and 0.999, indicating excellent diagnostic accuracy of such models. Moreover, the CRUISE and C5.0 tree algorithms showed that mean corpuscular volume can be considered as the main variable in discrimination between IDA and ßTT. CONCLUSIONS: CRUISE and C5.0 tree algorithms as powerful methods in data mining techniques can be used to develop accurate differential methods along with other laboratory parameters for the discrimination of IDA and ßTT. In addition, the multidimensional scaling method and cluster analysis can be considered as the most appropriate techniques to determine the discrimination indices with similar performance for future hematological studies.

The influence of mode of delivery, anthropometric indices, and infant's sex on the maternal and cord blood orexin-A levels: A cohort study.

BACKGROUND: Orexin as an adipokin hormone plays an important role in appetite regulation, energy metabolism, obesity, diabetes, and cardiovascular disease. The main source of orexin secretion in nonpregnant and pregnant women is adipose tissue and placenta, respectively. This research was conducted to evaluate the association between orexin-A level and the mode of delivery, anthropometric indices, and sex of the infant. METHODS: This prospective cohort study was conducted on 69 normal pregnant women. The samples of umbilical cord blood were obtained at the time of delivery, and maternal blood was taken within 24 h of delivery. Serum orexin-A levels were measured by using enzyme-linked immunosorbent assay. Statistical analyses were performed using SPSS and p < 0.05 was considered as significant. RESULTS: We found a significant difference between postpartum maternal and umbilical cord orexin-A level both with the mode of delivery (p < 0.001). Also, a significant positive correlation was seen between maternal and umbilical cord serum orexin-A levels (r = -0.61, p < 0.001). There was no relationship between serum orexin-A levels with anthropometric indices and the sex of the neonate (p > 0.05). CONCLUSION: Both maternal and umbilical cord serum orexin-A levels were associated with the mode of delivery. Maternal and cord blood orexin-A levels in normal vaginal delivery are higher than cesarean section.

Biological reflect of Adiponectin hormone in postpartum marital satisfaction and depression scores.

BACKGROUND: There is a growing body of evidence regarding the association between Adiponectin and mental disorders. We aim to evaluate the association between serum level of Adiponectin hormone and postpartum depression and marital satisfaction scores. METHODS: A prospective cohort study of 90 pregnant women was conducted in Mahdieh Hospital, Tehran, Iran. Blood samples were collected during the first 24 h after delivery. The serum Adiponectin concentration was measured with an Enzyme-Linked Immunosorbent Assay (ELISA) kit. The depression score was measured using a validated Iranian version of the Edinburgh Postnatal Depression Scale (EPDS) questionnaire at six weeks (6-weeks) and twelve weeks (12-weeks) after delivery. Using the Kansas questionnaire at twelve weeks (12-weeks) after delivery, the marital satisfaction score was measured. The measurements were compared between two groups, satisfied and dissatisfied mothers. P-values lower than 0.05 were considered significant. RESULTS: The mean serum level of Adiponectin was significantly higher in the dissatisfied group. It was 10.9 ± 13.4 µg/ml and 15.2 ± 17.7 µg /ml in the satisfied and dissatisfied groups, respectively (P = 0.04). The postpartum depression scores of 6- and 12-weeks after delivery were significantly higher in the dissatisfied group. At 6-weeks after delivery, the postpartum depression scores were 3.6 ± 3 and 8.7 ± 5.6 in satisfied and dissatisfied groups, respectively. Those were 2.7 ± 2.7 and 7.6 ± 5 at 12-weeks after delivery, respectively. There was a significant difference statistically (P <  0.001). CONCLUSION: Mothers in the dissatisfied group, experienced higher depression scores at 12-weeks postpartum while they had shown higher serum Adiponectin levels at the first 24 h after delivery.