A retrospective analysis of factors affecting speech production in school-aged children with cleft palate (+- cleft lip).

OBJECTIVE: The present investigation examined how factors such as cleft type, age of primary palatal surgery, diagnosed syndromes, hearing problems, and malocclusions could predict persistent speech difficulties and the need for speech services in school-aged children with cleft palate. METHODS: Participants included 100 school-aged children with cleft palate. Americleft speech protocol was used to assess the perceptual aspects of speech production. The logistic regression was performed to evaluate the impact of independent variables (IV) on the dependent variables (DV): intelligibility, posterior oral CSCs, audible nasal emission, hypernasality, anterior oral CSCs, and speech therapy required. RESULTS: Sixty-five percent of the children were enrolled in (or had received) speech therapy. The logistic regression model shows a good fit to the data for the need for speech therapy (Hosmer and Lemeshow's χ2(8)=9.647,p=.291). No IVs were found to have a significant impact on the need for speech therapy. A diagnosed syndrome was associated with poorer intelligibility (Pulkstenis-Robinson's χ2(11)=7.120,p=.789). Children with diagnosed syndromes have about six times the odds of a higher hypernasality rating (Odds Ratio = 5.703) than others. The cleft type was significantly associated with audible nasal emission (Fisher'sexactp=.006). At the same time, malocclusion had a significant association with anterior oral CSCs (Fisher'sexactp=.005). CONCLUSIONS: According to the latest data in the Cleft Registry and Audit Network Annual Report for the UK, the majority of children with cleft palate attain typical speech by age five. However, it is crucial to delve into the factors that may influence the continuation of speech disorders beyond this age. This understanding is vital for formulating intervention strategies aimed at mitigating the long-term effects of speech disorders as individuals grow older.

Functional Multivariable Logistic Regression With an Application to HIV Viral Suppression Prediction.

Motivated by improving the prediction of the human immunodeficiency virus (HIV) suppression status using electronic health records (EHR) data, we propose a functional multivariable logistic regression model, which accounts for the longitudinal binary process and continuous process simultaneously. Specifically, the longitudinal measurements for either binary or continuous variables are modeled by functional principal components analysis, and their corresponding functional principal component scores are used to build a logistic regression model for prediction. The longitudinal binary data are linked to underlying Gaussian processes. The estimation is done using penalized spline for the longitudinal continuous and binary data. Group-lasso is used to select longitudinal processes, and the multivariate functional principal components analysis is proposed to revise functional principal component scores with the correlation. The method is evaluated via comprehensive simulation studies and then applied to predict viral suppression using EHR data for people living with HIV in South Carolina.

Trajectory patterns and predictors of cancer-related fatigue in postoperative lung cancer patients receiving chemotherapy.

PURPOSE: Cancer-related fatigue (CRF) is a chronic symptom that can affect the overall functioning of lung cancer patients throughout the course of the disease. However, there is limited research on the trajectory and predictors of CRF specifically in lung cancer patients. Furthermore, few studies have investigated the predictive role of positive psychological and social factors in relation to CRF. This study aimed to explore the trajectory of CRF and its predictors in postoperative chemotherapy patients with lung cancer. METHODS: A total of 202 lung cancer patients who underwent surgery and received adjuvant chemotherapy were recruited for this study. Baseline questionnaires were completed, covering sociodemographic information, disease details, CRF levels, personality traits, psychological resilience, and social support. CRF was assessed at three time points: first chemotherapy (T1), 3 months after chemotherapy (T2), and 6 months after chemotherapy (T3). Latent class growth modeling (LCGM) was used to identify distinct developmental trajectories of CRF. Logistic regression analysis was employed to examine predictors of CRF within different patient groups. RESULTS: The LCGM analysis revealed three distinct CRF trajectories: persistent high fatigue group (30.7%), rising fatigue group (30.7%), and no fatigue group (38.6%). Cancer stage (OR = 7.563, 95% CI = 2.468-23.182, P < 0.001), melancholic personality (OR = 6.901, 95% CI = 1.261-37.764, P = 0.026), and high psychological resilience (OR = 0.171, 95% CI = 0.041-0.706, P = 0.015) were associated with the CRF trajectory. On the other hand, sanguine personality (OR = 0.254, 95% CI = 0.071-0.916, P = 0.036) and high social support (OR = 0.168, 95% CI = 0.045-0.627, P = 0.008) were associated with the increasing fatigue trajectory. CONCLUSIONS: This study demonstrated that 60% of lung cancer patients experienced persistent fatigue throughout the assessment period. Moreover, it confirmed the heterogeneity of CRF trajectories among lung cancer patients. The severity of CRF was found to be higher in patients with advanced clinical stages, depressive personality traits, and lower psychological resilience.

Factors Associated with Hepatitis B and Hepatitis C among Infected Patients in Indonesia and Their Knowledge and Attitude: A Multicenter Observational Study.

BACKGROUND: Hepatitis B virus (HBV) and Hepatitis C virus (HCV) infections are global health problems, including in Indonesia. The purpose of this study was to assess the knowledge and attitudes about HBV and HCV infection among infected patients in Indonesia. METHODS: This cross-sectional study used a questionnaire survey. The questionnaire was adapted and translated into Indonesian language, and trialed with 27 HBV and 27 HCV patients. The final validated questionnaire was later used in the target population. Patients diagnosed with Hepatitis B or Hepatitis C were included. The patients were enrolled from November 2019 until February 2020 in sixteen multicenter locations. Multivariate analysis with logistic regression was conducted to determine the factors that are associated with the knowledge and attitude among HBV and HCV patients toward their illness. RESULTS: A total of 931 HBV patients and 254 HCV patients were included in this survey. The proportion of infected patients with adequate knowledge of Hepatitis B and Hepatitis C was 72.1% and 53.9%, respectively. Positive attitudes about Hepatitis B and Hepatitis C were 28.5% and 41.3%, respectively. Multivariate analysis revealed that higher education level, higher income level, diagnosis duration of more than 5 years, and receiving of antiviral therapy were independent factors associated with adequate knowledge about Hepatitis B among HBV patients. Among HCV patients, independent factors associated with adequate knowledge about Hepatitis C were being married, higher education level, higher income level, and receiving antiviral therapy. Moreover, older age and receiving of antiviral therapy were independent factors associated with positive attitudes towards Hepatitis B among HBV patients. However, only higher education level was found to be an independent factor associated with positive attitudes towards Hepatitis C among HCV patients. CONCLUSION: The knowledge and attitude of patients regarding HBV and HCV were quite low among infected patients in Indonesia.

Association of cord blood Ang-1 and sCD105 levels with bronchopulmonary dysplasia in preterm infants.

BACKGROUND: To investigate the relationship between cord blood levels of Angiopoietin-1 (Ang-1) and S-endoglin (sCD105) and bronchopulmonary dysplasia (BPD) in preterm infants. METHODS: Sixty-one preterm infants admitted to the neonatal intensive care unit of the study hospital between July 2021 and September 2022 were included. Cord blood was collected after the birth of premature infants. Ang-1 and sCD105 levels were quantified using the vascular endothelial growth factor enzyme-linked immunosorbent assay. Preterm infants were divided into BPD and non-BPD groups, and differences in Ang-1 and sCD105 levels between the two groups were compared. A binary logistic model was used to assess the association between low and high levels Ang-1 and BPD in preterm infants. RESULTS: In the study, there were 20 preterm infants with BPD (32.8%) and 41 preterm infants with non-BPD (67.2%). Ang-1 concentration levels were lower in the BPD group than in the non-BPD group (7105.43 (5617.01-8523.00) pg/ml vs. 10488.03 (7946.19-15962.77) pg/ml, P = 0.027). However, the sCD105 concentration levels were not significantly different between the BPD and non-BPD groups (P = 0.246). A median Ang-1 concentration of 8800.40 pg/ml was calculated. Logistic regression analysis showed that after adjusting for gestational age, birth weight, and maternal prenatal steroid hormone application, the odds ratio (OR) was 8.577 for the risk of BPD in preterm infants with Ang-1 concentrations of ≤ 8800.40 pg/ml compared to those with Ang-1 concentrations of > 8800.40 pg/ml (OR: 8.577, 95% confidence interval: 1.265-58.155, P = 0.028). CONCLUSION: Our study indicated that Ang-1 levels in the cord blood of preterm infants may be associated the risk of BPD. In the future, we will continue to conduct study with large samples.

A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors.

BACKGROUND: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication during pregnancy. We aimed to evaluate a risk prediction model of GDM based on traditional and genetic factors. METHODS: A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were conducted to gather general data. Serum test results were collected from the laboratory information system. Independent risk factors for GDM were identified using univariate and multivariate logistic regression analyses. A GDM risk prediction model was constructed and evaluated with the Hosmer-Lemeshow goodness-of-fit test, goodness-of-fit calibration plot, receiver operating characteristic curve and area under the curve. RESULTS: Among traditional factors, age ≥30 years, family history, GDM history, impaired glucose tolerance history, systolic blood pressure ≥116.22 mmHg, diastolic blood pressure ≥74.52 mmHg, fasting plasma glucose ≥5.0 mmol/L, 1-hour postprandial blood glucose ≥8.8 mmol/L, 2-h postprandial blood glucose ≥7.9 mmol/L, total cholesterol ≥4.50 mmol/L, low-density lipoprotein ≥2.09 mmol/L and insulin ≥11.5 mIU/L were independent risk factors for GDM. Among genetic factors, 11 single nucleotide polymorphisms (SNPs) (rs2779116, rs5215, rs11605924, rs7072268, rs7172432, rs10811661, rs2191349, rs10830963, rs174550, rs13266634 and rs11071657) were identified as potential predictors of the risk of postpartum DM among women with GDM history, collectively accounting for 3.6% of the genetic risk. CONCLUSIONS: Both genetic and traditional factors contribute to the risk of GDM in women, operating through diverse mechanisms. Strengthening the risk prediction of SNPs for postpartum DM among women with GDM history is crucial for maternal and child health protection.

We aimed to evaluate a risk prediction model of gestational diabetes mellitus (GDM) based on traditional and genetic factors. A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were conducted to collect general data. Among traditional factors, age ≥30 years old, family history, GDM history, impaired glucose tolerance history, systolic blood pressure ≥116.22 mmHg, diastolic blood pressure ≥74.52 mmHg, fasting plasma glucose ≥5.0 mmol/L, 1-hour postprandial blood glucose ≥8.8 mmol/L, 2-h postprandial blood glucose ≥7.9 mmol/L, total cholesterol ≥4.50 mmol/L, low-density lipoprotein ≥2.09 mmol/L and insulin ≥11.5 mIU/L were independent risk factors for GDM. Among genetic factors, 11 single nucleotide polymorphisms were identified as potential predictors of the risk of postpartum DM among women with GDM history, collectively accounting for 3.6% of the genetic risk. Both genetic and traditional factors increase the risk of GDM in women.

Spatial Variation and Determinants of Inadequate Minimum Meal Frequency among Children Aged 6-23 Months in Ethiopia: Spatial and multilevel analysis using Ethiopian Mini Demographic and Health Survey (EMDHS) 2019.

Introduction: Minimum meal frequency is the number of times children eat in a day. Without adequate meal frequency, infants and young children are prone to malnutrition. There is little information on the spatial distribution and determinants of inadequate meal frequency at the national level. Therefore, we aimed to investigate the spatial distribution and determinants of inadequate meal frequency among young children in Ethiopia. Methods: The most recent Ethiopian demographic and health survey data was used. The analysis was conducted using a weighted sample of 1,610 children aged 6-23 months old. The Global Moran's I was estimated to assess the regional variation in minimum meal frequency. Further, a multivariable multilevel logistic regression model was fitted to identify factors associated with inadequate meal frequency. The AOR (adjusted odds ratio) at 95% CI (confidence interval) was computed to assess the strength and significance of the relationship between explanatory variables and the outcome variable. Factors with a p-value of <0.05 are declared statistically significant. Results: This study revealed that the prevalence of inadequate meal frequency was found to be 30.56% (95% CI: 28.33-32.88). We identified statistically significant clusters of high inadequate meal frequency, notably observed in Somalia, northern Amhara, the eastern part of southern nations and nationalities, and the southwestern Oromia regions. Child age, antenatal care (ANC) visit, marital status, and community level illiteracy were significant factors that were associated with inadequate meal frequency. Conclusion: According to the study findings, the proportion of inadequate meal frequency among young children in Ethiopia was higher and also distributed non-randomly across Ethiopian regions. As a result, policymakers and other concerned bodies should prioritize risky areas in designing intervention. Thus, special attention should be given to the Somalia region, the northern part of Amhara, the eastern part of Southern nations and nationalities, and southwestern Oromia.

Factors associated with postpartum fatigue: an exploration of the moderating role of resilience.

Background: Postpartum fatigue (PPF) can impair the physical and mental well-being of women. The aims of this study were to assess the associations between fatigue and maternal health-related variables, specifically, sleep quality, depression symptoms, and resilience, and to explore the moderating role of resilience in the relationships between sleep quality, depression symptoms, and fatigue. Methods: This cross-sectional study used data collected from mothers during the postpartum period via an online platform. PPF was assessed using the Fatigue Severity Scale, whereas sleep quality and depression symptoms were assessed using the Pittsburgh Sleep Quality Index and Edinburgh Postnatal Depression Scale, respectively. The Brief Resilience Scale was used to assess resilience. Simple and multiple binary logistic regression analyses were performed to examine the association of each independent variable with PPF and to determine the most significant predictors of PFF. The data were analyzed using SPSS, and structural equation modeling was performed using AMOS 23. A moderation analysis was performed to explore the moderating role of resilience using the Hayes PROCESS macro. Results: A total of 1,443 postpartum mothers were included in the analysis. The simple binary logistic regression analysis showed that having chronic disease (odds: 1.52; p = 0.02), mother's age (odds: 0.97; p = 0.03), mother's body mass index (BMI; odds: 1.03; p = 0.01), depression symptoms (odds: 1.09; p ≤ 0.0001), sleep quality (odds: 1.17; p ≤ 0.0001), and resilience (odds: 0.42; p ≤ 0.0001) all contributed to fatigue during postpartum. Multivariate logistic regression showed that the mother's BMI, sleep quality, depression symptoms, and resilience were significant predictors of PPF. Moderation analyses showed that resilience was not a significant moderator between the main effects of sleep quality and fatigue (interaction effect: ß = 0.01, p = 0.31, 95% CI: -0.01 to 0.04) or between the main effects of depression symptoms and fatigue during postpartum (interaction effect: ß = 0.01, p = 0.82, 95% CI: -0.01 to 0.02). Conclusion: Given the deleterious effects of PPF on maternal health outcomes, factors associated with PPF should be assessed regularly. In addition to mothers' BMI, sleep quality, and depression symptoms, resilience could also be a crucial factor in predicting fatigue severity during this critical time for mothers even though it was not a significant moderator among this sample.

[Construction of a Predictive Model for Diabetes Mellitus Type 2 in Middle-Aged and Elderly Populations Based on the Medical Checkup Data of National Basic Public Health Service]. / åŸºäºŽå›½å®¶åŸºæœ¬å ¬å ±å«ç”ŸæœåŠ¡ä½“æ£€çš„ä¸­è€å¹´äºº2åž‹ç³–å°¿ç— é£Žé™©é¢„æµ‹æ¨¡åž‹æž„å»º.

Objective: To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2 (T2DM) in the middle-aged and elderly populations based on the results of a Meta-analysis, and to validate and confirm the efficacy of the model using the follow-up data of medical check-ups of National Basic Public Health Service. Methods: Cohort studies evaluating T2DM risks were identified in Chinese and English databases. The logistic model utilized Meta-combined effect values such as the odds ratio (OR) to derive ß, the partial regression coefficient, of the logistic model. The Meta-combined incidence rate of T2DM was used to obtain the parameter α of the logistic model. Validation of the predictive performance of the model was conducted with the follow-up data of medical checkups of National Basic Public Health Service. The follow-up data came from a community health center in Chengdu and were collected between 2017 and 2022 from 7602 individuals who did not have T2DM at their baseline medical checkups done at the community health center. This community health center was located in an urban-rural fringe area with a large population of middle-aged and elderly people. Results: A total of 40 cohort studies were included and 10 items covered in the medical checkups of National Basic Public Health Service were identified in the Meta-analysis as statistically significant risk factors for T2DM, including age, central obesity, smoking, physical inactivity, impaired fasting glucose, a reduced level of high-density lipoprotein cholesterol (HDL-C), hypertension, body mass index (BMI), triglyceride glucose (TYG) index, and a family history of diabetes, with the OR values and 95% confidence interval (CI) being 1.04 (1.03, 1.05), 1.55 (1.29, 1.88), 1.36 (1.11, 1.66), 1.26 (1.07, 1.49), 3.93 (2.94, 5.24), 1.14 (1.06, 1.23), 1.47 (1.34, 1.61), 1.11 (1.05, 1.18), 2.15 (1.75, 2.62), and 1.66 (1.55, 1.78), respectively, and the combined ß values being 0.039, 0.438, 0.307, 0.231, 1.369, 0.131, 0.385, 0.104, 0.765, and 0.507, respectively. A total of 37 studies reported the incidence rate, with the combined incidence being 0.08 (0.07, 0.09) and the parameter α being -2.442 for the logistic model. The logistic risk prediction model constructed based on Meta-analysis was externally validated with the data of 7602 individuals who had medical checkups and were followed up for at least once. External validation results showed that the predictive model had an area under curve (AUC) of 0.794 (0.771, 0.816), accuracy of 74.5%, sensitivity of 71.0%, and specificity of 74.7% in the 7602 individuals. Conclusion: The T2DM risk prediction model based on Meta-analysis has good predictive performance and can be used as a practical tool for T2DM risk prediction in middle-aged and elderly populations.

[Humoral Immunity Abnormalities in Advanced Maternal-Age Women With Recurrent Spontaneous Abortion: A Single Center Study]. / é«˜é¾„å¤å‘æ€§æµäº§æ‚£è€ ä½“æ¶²å ç–«å¼‚å¸¸çš„å•ä¸­å¿ƒç ”ç©¶.

Objective: To determine the humoral immunity in advanced maternal-age women with recurrent spontaneous abortion (RSA). Methods: A retrospective study was performed between January 2022 and October 2023 in the Department of Reproductive Immunity of Shanghai First Maternity and Infant Hospital. Women with RSA were recruited and multiple autoantibodies were tested. Multivariate logistic regression was performed to compare the associations between different age groups (20 to 34 years old in the low maternal-age group and 35 to 45 years in the advanced maternal-age group) and multiple autoantibodies, while controlling for three confounding factors, including body mass index (BMI), previous history of live birth, and the number of spontaneous abortions. Then, we investigated the differences in the humoral immunity of advanced maternal-age RSA women and low maternal-age RSA women. Result: A total of 4009 women with RSA were covered in the study. Among them, 1158 women were in the advanced maternal-age group and 2851 women were in the low maternal-age group. The prevalence of antiphospholipid syndrome, systemic lupus erythematosus, Sjogren's syndrome, rheumatoid arthritis, and undifferentiated connective tissue disease was 15.6% and 14.1%, 0.0% and 0.1%, 0.9% and 0.9%, 0.3% and 0.0%, and 23.7% and 22.6% in the advanced maternal-age group and low maternal-age group, respectively, showing no statistical difference between the two groups. The positive rates of antiphospholipid antibodies (aPLs), antinuclear antibody (ANA), extractable nuclear antigen (ENA) antibody, anti-double stranded DNA (dsDNA) antibody, anti single-stranded DNA (ssDAN) antibody, antibodies against alpha-fodrin (AAA), and thyroid autoimmunity (TAI) were 19.1% and 19.5%, 6.6% and 6.6%, 9.2% and 10.5%, 2.0% and 2.0%, 2.2% and 1.2%, 5.1% and 4.9%, and 17.8% and 16.8%, respectively. No differences were observed between the two groups. 1.6% of the women in the advanced maternal-age group tested positive for lupus anticoagulant (LA), while 2.7% of the women in the low maternal-age group were LA positive, with the differences being statistically significant (odds ratio=0.36, 95% confidence interval: 0.17-0.78). In the 4008 RSA patients, the cumulative cases tested positive for the three antibodies of the aPLs spectrum were 778, of which 520 cases were positive for anti-ß2 glycoprotein Ⅰ antibodies (ß2GPⅠ Ab)-IgG/IgM, 58 were positive for aCL-IgG/IgM, 73 were positive for LA, 105 were positive for both ß2GPⅠ Ab-IgG/IgM and aCL-IgG/IgM, 17 were positive for both ß2GPⅠ Ab-IgG/IgM and LA, 2 were positive for both aCL-IgG/IgM and LA, and 3 were positive for all three antibodies. Conclusion: Our study did not find a difference in humoral immunity between RSA women of advanced maternal age and those of low maternal age.

Association Between Urinary Phthalate Metabolites and Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.

Objective: To determine the association of urinary phthalate metabolites with chronic obstructive pulmonary disease (COPD), airflow obstruction, lung function and respiratory symptoms. Methods: Our study included a total of 2023 individuals aged ≥ 40 years old in the National Health and Nutrition Examination Survey (NHANES). Multivariate logistic regression was conducted to explore the correlation of eleven urinary phthalate metabolites (MCNP, MCOP, MECPP, MnBP, MCPP, MEP, MEHHP, MEHP, MiBP, MEOHP, and MBzP) with COPD, airflow obstruction and respiratory symptoms. Linear regression analyses were used to evaluate the relationship between urinary phthalate metabolites and lung function. Results: When compared to the first tertile, the third tertile of MEHHP was associated with the risk of COPD [OR: 2.779; 95% confidence interval (CI): 1.129-6.840; P = 0.026]. Stratified analysis showed that MEHHP increased the risk of COPD by 7.080 times in male participants. Both MCPP and MBzP were positively correlated with the risk of airflow obstruction. The third tertile of MBzP increased the risk of cough by 1.545 (95% CI: 1.030-2.317; P = 0.035) times. Both FEV1 and FVC were negatively associated with MEHHP, MECPP, MnBP, MEP, MiBP and MEOHP. Conclusion: Higher levels of MEHHP are associated with increased risk of COPD, and lower measures of FEV1 and FVC. MBzP is positively related to airflow obstruction and cough.

Association of Severe Vitamin D Deficiency with Hospitalization in the Previous Year in Hospitalized Exacerbated COPD Patients.

Purpose: Vitamin D deficiency (VDD, 25-hydroxyvitamin D < 20 ng/mL) has been reported associated with exacerbation of chronic obstructive pulmonary disease (COPD) but sometimes controversial. Research on severe vitamin D deficiency (SVDD, 25-hydroxyvitamin D < 10 ng/mL) in exacerbation of COPD is limited. Patients and Methods: We performed a retrospective observational study in 134 hospitalized exacerbated COPD patients. 25-hydroxyvitamin D was modeled as a continuous or dichotomized (cutoff value: 10 or 20 ng/mL) variable to evaluate the association of SVDD with hospitalization in the previous year. Receiver operator characteristic (ROC) analysis was performed to find the optimal cut-off value of 25-hydroxyvitamin D. Results: In total 23% of the patients had SVDD. SVDD was more prevalent in women, and SVDD group tended to have lower blood eosinophils counts. 25-hydroxyvitamin D level was significantly lower in patients who were hospitalized in the previous year (13.6 vs 16.7 ng/mL, P = 0.044), and the prevalence of SVDD was higher (38.0% vs 14.3%, P = 0.002). SVDD was independently associated with hospitalization in the previous year [odds ratio (OR) 4.34, 95% CI 1.61-11.72, P = 0.004] in hospitalized exacerbated COPD patients, whereas continuous 25-hydroxyvitamin D and VDD were not (P = 0.1, P = 0.9, separately). The ROC curve yielded an area under the curve of 0.60 (95% CI 0.50-0.71) with an optimal 25-hydroxyvitamin D cutoff of 10.4 ng/mL. Conclusion: SVDD probably showed a more stable association with hospitalization in the previous year in hospitalized exacerbated COPD patients. Reasons for lower eosinophil counts in SVDD group needed further exploration.

Hepatitis C risk score as a tool to identify individuals with HCV infection: a demonstration and cross-sectional epidemiological study in Egypt.

OBJECTIVES: Hepatitis C virus (HCV) infection poses a global health challenge. By the end of 2021, the WHO estimated that less than a quarter of global HCV infections had been diagnosed. There is a need for a public health tool that can facilitate the identification of people with HCV infection and link them to testing and treatment, and that can be customised for each country. METHODS: We derived and validated a risk score to identify people with HCV in Egypt and demonstrated its utility. Using data from the 2008 and 2014 Egypt Demographic and Health Surveys, two risk scores were constructed through multivariable logistic regression analysis. A range of diagnostic metrics was then calculated to evaluate the performance of these scores. RESULTS: The 2008 and 2014 risk scores exhibited similar dependencies on sex, age and type of place of residence. Both risk scores demonstrated high and similar areas under the curve of 0.77 (95% CI: 0.76 to 0.78) and 0.78 (95% CI: 0.77 to 0.80), respectively. For the 2008 risk score, sensitivity was 73.7% (95% CI: 71.5% to 75.9%), specificity was 68.5% (95% CI: 67.5% to 69.4%), positive predictive value (PPV) was 27.8% (95% CI: 26.4% to 29.2%) and negative predictive value (NPV) was 94.1% (95% CI: 93.5% to 94.6%). For the 2014 risk score, sensitivity was 64.0% (95% CI: 61.5% to 66.6%), specificity was 78.2% (95% CI: 77.5% to 78.9%), PPV was 22.2% (95% CI: 20.9% to 23.5%) and NPV was 95.7% (95% CI: 95.4% to 96.1%). Each score was validated by applying it to a different survey database than the one used to derive it. CONCLUSIONS: Implementation of HCV risk scores is an effective strategy to identify carriers of HCV infection and to link them to testing and treatment at low cost to national programmes.

Association Between Economic Activity and Depressive Symptoms Among Women With Parenting Children.

BACKGROUND: Balancing parenting and work life poses challenges for women with children, potentially making them vulnerable to depression owing to their dual responsibilities. Investigating working mothers' mental health status is important on both the individual and societal levels. This study aimed to explore the relationship between economic activity participation and depressive symptoms among working mothers. METHODS: This study was a cross-sectional study and used data from the Korea National Health and Nutrition Examination Survey collected in 2014, 2016, 2018, and 2020. The participants in the study were women aged 19 to 50 who were residing with their children. In the total, 3,151 participants were used in the analysis. The independent variable was economic activity, categorized into two groups: 1) economically active and 2) economically inactive. The dependent variable was the depressive symptoms, categorized as present for a Patient Health Questionnaire-9 score of ≥ 10 and absent for a score < 10. Multiple logistic regression analysis was performed to assess the association between economic activity and depressive symptoms, and sensitivity analyses were performed based on the severity of depressive symptoms. RESULTS: Among women with children, economically active women had reduced odds ratio of depressive symptoms compared with economically inactive women (odds ratio [OR], 0.54; 95% confidence interval [CI], 0.36-0.80). In additional analysis, women working as wage earners had the lowest odds of depressive symptoms (OR, 0.43; 95% CI, 0.28-0.66). Women working an average of 40 hours or less per week were least likely to have depressive symptoms (OR, 0.42; 95% CI, 0.25-0.69). CONCLUSION: Economic activity is significantly associated with depressive symptoms among women with children. Environmental support and policy approaches are needed to ensure that women remain economically active after childbirth.

Nirsevimab and Hospitalization for RSV Bronchiolitis.

BACKGROUND: Respiratory syncytial virus (RSV) is the leading cause of bronchiolitis, resulting in 3 million hospitalizations each year worldwide. Nirsevimab is a monoclonal antibody against RSV that has an extended half-life. Its postlicensure real-world effectiveness against RSV-associated bronchiolitis is unclear. METHODS: We conducted a prospective, multicenter, matched case-control study to analyze the effectiveness of nirsevimab therapy against hospitalization for RSV-associated bronchiolitis in infants younger than 12 months of age. Case patients were infants younger than 12 months of age who were hospitalized for RSV-associated bronchiolitis between October 15 and December 10, 2023. Control patients were infants with clinical visits to the same hospitals for conditions unrelated to RSV infection. Case patients were matched to control patients in a 2:1 ratio on the basis of age, date of hospital visit, and study center. We calculated the effectiveness of nirsevimab therapy against hospitalization for RSV-associated bronchiolitis (primary outcome) by means of a multivariate conditional logistic-regression model with adjustment for confounders. Several sensitivity analyses were performed. RESULTS: The study included 1035 infants, of whom 690 were case patients (median age, 3.1 months; interquartile range, 1.8 to 5.3) and 345 were matched control patients (median age, 3.4 months; interquartile range, 1.6 to 5.6). Overall, 60 case patients (8.7%) and 97 control patients (28.1%) had received nirsevimab previously. The estimated adjusted effectiveness of nirsevimab therapy against hospitalization for RSV-associated bronchiolitis was 83.0% (95% confidence interval [CI], 73.4 to 89.2). Sensitivity analyses gave results similar to those of the primary analysis. The effectiveness of nirsevimab therapy against RSV-associated bronchiolitis resulting in critical care was 69.6% (95% CI, 42.9 to 83.8) (27 of 193 case patients [14.0%] vs. 47 of 146 matched control patients [32.2%]) and against RSV-associated bronchiolitis resulting in ventilatory support was 67.2% (95% CI, 38.6 to 82.5) (27 of 189 case patients [14.3%] vs. 46 of 151 matched control patients [30.5%]). CONCLUSIONS: In a real-world setting, nirsevimab therapy was effective in reducing the risk of hospitalized RSV-associated bronchiolitis. (Funded by the National Agency for AIDS Research-Emerging Infectious Disease and others; ENVIE ClinicalTrials.gov number, NCT06030505.).

Establishment and Diagnostic Value of an Early Prediction Model for Acute Pancreatitis Complicated With Acute Kidney Injury.

OBJECTIVES: To establish an early prediction model for acute pancreatitis (AP) complicated with acute kidney injury (AKI) and evaluate its diagnostic value. METHOD: AP patients were recruited from the Emergency Department at Peking University People's Hospital in 2021 and stratified into AKI and control (no AKI) groups. Their clinical data were analyzed. The risk for AKI development was determined using logistic analyses to establish a risk prediction model, whose diagnostic value was analyzed using a receiver operating characteristic curve. RESULTS: There was no significant difference in the basic renal function between the AKI (n = 79) and control (n = 179) groups. The increased triglyceride glucose index (odds ratio [OR], 2.613; 95% confidence interval [CI], 1.324-5.158; P = 0.006), age (OR, 1.076; 95% CI, 1.016-1.140; P = 0.013), and procalcitonin (OR, 1.377; 95% CI, 1.096-1.730, P = 0.006) were associated with AKI development. A model was established for prediction of AKI (sensitivity 79.75%, specificity 96.65%). The area under the receiver operating characteristic curve was 0.856 which was superior to the Ranson, Bedside Index for Severity in AP, and Acute Physiology and Chronic Health Evaluation II scores (0.856 vs 0.691 vs 0.745 vs 0.705). CONCLUSIONS: The prediction model based on age, triglyceride glucose, and procalcitonin is valuable for the prediction of AP-related AKI.

[Construction and validation of a nomogram for predicting the prognosis of patients with septic shock in department of emergency medicine].

OBJECTIVE: To construct a nomogram model for predicting the 28-day mortality of patients with septic shock in the emergency medicine department and to validate the predictive efficacy. METHODS: Based on the database of the emergency medicine department of Chu Hsien-I Memorial Hospital of Tianjin Medical University, Tianjin Medical University General Hospital and the Second Hospital of Tianjin Medical University, the data of 913 patients with septic shock admitted to the emergency medicine department from January 2017 to October 2020 were collected, including baseline demographic information and clinical characteristics, laboratory indices, and the main endpoints (28-day mortality). The patients were divided into a training set and a validation set based on simple random sampling. All significant variables from the one-way binary Logistic regression analysis of the training set were included in the multivariate Logistic regression analysis to analyze the risk factors for 28-day mortality in patients with septic shock and to construct a column-line graphical model. The predictive efficacy of the nomogram model was assessed using calibration curves and receiver operator characteristic curve (ROC curve). RESULTS: A total of 860 patients with septic shock meeting the criteria were finally enrolled, including 472 in the training set and 388 in the validation set. The 28-day mortalities were 52.5% (248/472) and 54.1% (210/388) for the training and validation sets, respectively. In the training set, age, respiratory rate (RR), the levels of C-reactive protein (CRP), D-dimer, white blood cell count (WBC), neutrophil count (NEU), neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), mean platelet volume (MPV), and platelet count (PLT) in the death group were significantly higher than those in the survival group, and the levels of base remaining (BE), lymphocyte count (LYM), hemoglobin (Hb) and the proportion of chronic obstructive pulmonary diseases (COPD) were significantly lower than those in the survival group (all P < 0.05). Multifactorial Logistic regression analysis showed that NLR [odds ratio (OR) = 0.023 0, 95% confidence interval (95%CI) was -0.204 4 to 0.113 0], MPV (OR = 0.179 8, 95%CI was -0.877 6 to 0.172 7), Hb (OR = 0.007 8, 95%CI was 0.010 3 to 0.040 8), procalcitonin (PCT; OR = 1.957 0, 95%CI was 1.243 0 to 3.081 0), and D-dimer (OR = 0.000 1, 95%CI was -0.000 4 to 0.000 1) were independent predictors of 28-day mortality in patients with septic shock in the emergency department (all P < 0.05). A column-line graph model was established based on the above variables, and the ROC curves showed that the area under the ROC curve (AUC) of the nomogram model in the training set and validation set for predicting the 28-day mortality of patients with septic shock was 0.907 (95%CI was 0.864 to 0.940) and 0.822 (95%CI was 0.781 to 0.863), respectively. The calibration curves showed good agreement between the predicted and observed results for both the training and validation sets. CONCLUSIONS: The nomogram model constructed based on NLR, MPV, Hb, PCT and D-dimer has significant clinical value in predicting the 28-day mortality of patients with septic shock in the emergency medicine department.

[Clinical characteristics and prognosis of acute gastrointestinal injury in patients with sepsis-associated acute respiratory distress syndrome].

OBJECTIVE: To observe the clinical characteristics and prognosis of patients with acute respiratory distress syndrome (ARDS) in sepsis combined with acute gastrointestinal injury (AGI) of different grades, and to further explore the risk factors associated with the poor prognosis of patients. METHODS: The clinical data of patients with septic ARDS admitted to the intensive care unit (ICU) of Tianjin First Central Hospital from March to October 2023 were collected. According to the 2012 European Association of Critical Care Medicine AGI definition and grading criteria, the patients were categorized into AGI grade 0- IV groups. The clinical characteristics and 28-day clinical outcomes of the patients were observed; the risk factors related to the prognosis of patients with septic ARDS combined with AGI were analyzed by using univariate and multivariate Logistic regression; and the receiver operator characteristic curve (ROC curve) and calibration curves were plotted to evaluate the predictive value of each risk factor on the prognosis of patients with septic ARDS combined with AGI. RESULTS: A total of 92 patients with septic ARDS were enrolled, including 7 patients in the AGI 0 group, 20 patients in the AGI I group, 38 patients in the AGI II group, 23 patients in the AGI III group, and 4 patients in the AGI IV group. The incidence of AGI was 92.39%. With the increase of AGI grade, the ARDS grade increased, and acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), intra-abdominal pressure (IAP), white blood cell count (WBC), neutrophil count (NEU), lymphocyte count (LYM), lymphocyte percentage (LYM%), and 28-day mortality all showed a significant increasing trend, while the oxygenation index (PaO2/FiO2) showed a significant decreasing trend (all P < 0.05). Pearson correlation analysis showed that APACHE II score, SOFA score, and ARDS classification were positively correlated with patients' AGI grade (Pearson correlation index was 0.386, 0.473, and 0.372, respectively, all P < 0.001), and PaO2/FiO2 was negatively correlated with patients' AGI grade (Pearson correlation index was -0.425, P < 0.001). Among the patients with septic ARDS combined with AGI, there were 68 survivors and 17 deaths at 28 days. The differences in APACHE II score, SOFA score, ARDS grade, AGI grade, PaO2/FiO2, IAP, AGI 7-day worst value, length of ICU stay, and total length of hospital stay between the survival and death groups were statistically significant. Univariate Logistic regression analysis showed that SOFA score [odds ratio (OR) = 1.350, 95% confidence interval (95%CI) was 1.071-1.702, P = 0.011], PaO2/FiO2 (OR = 0.964, 95%CI was 0.933-0.996, P = 0.027) and AGI 7-day worst value (OR = 2.103, 95%CI was 1.194-3.702, P = 0.010) were the risk factors for 28-day mortality in patients with septic ARDS combined with AGI. Multivariate Logistic regression analysis showed that SOFA score (OR = 1.384, 95%CI was 1.153-1.661, P < 0.001), PaO2/FiO2 (OR = 0.983, 95%CI was 0.968-0.999, P = 0.035) and AGI 7-day worst value (OR = 1.992, 95%CI was 1.141-3.478, P = 0.015) were the independent risk factors for 28-day mortality in patients with septic ARDS combined with AGI. ROC curve analysis showed that SOFA score, PaO2/FiO2 and AGI 7-day worst value had predictive value for the 28-day prognosis of patients with septic ARDS combined with AGI. The area under the ROC curve (AUC) was 0.824 (95%CI was 0.697-0.950), 0.760 (95%CI was 0.642-0.877) and 0.721 (95%CI was 0.586-0.857), respectively, all P < 0.01; when the best cut-off values of the above metrics were 5.50 points, 163.45 mmHg (1 mmHg≈0.133 kPa), and 2.50 grade, the sensitivities were 94.1%, 94.1%, 31.9%, respectively, and the specificities were 80.9%, 67.6%, 88.2%, respectively. CONCLUSIONS: The incidence of AGI in patients with septic ARDS is about 90%, and the higher the AGI grade, the worse the prognosis of the patients. SOFA score, PaO2/FiO2 and AGI 7-day worst value have a certain predictive value for the prognosis of patients with septic ARDS combined with AGI, among which, the larger the SOFA score and AGI 7-day worst value, and the smaller the PaO2/FiO2, the higher the patients' mortality.

[Clinical characteristics and prognosis of 227 children with acute pancreatitis].

OBJECTIVE: To analyze the clinical characteristics and prognosis of acute pancreatitis (AP) in children, and provide reference for clinical prevention and treatment of AP in children. METHODS: Based on the electronic medical record system of the Affiliated Hospital of Zunyi Medical University, the clinical data of children with AP in the hospital from January 2011 to December 2020 were retrospectively analyzed. According to the severity of the disease, the children were divided into mild acute pancreatitis (MAP) group and severe acute pancreatitis (SAP) group. The general data, laboratory tests and outcomes indicators of the two groups were collected and compared. The epidemiological characteristics of children with AP were analyzed. Multivariate Logistic regression was used to analyze the risk factors of SAP in children. RESULTS: A total of 227 children with AP were enrolled, including 161 in MAP group and 66 in SAP group. The median age of children with AP was 12.00 (8.00, 16.00) years old, and 126 cases (55.51%) were male. The main initial clinical symptoms were abdominal pain, nausea, vomiting and abdominal distension (97.36%, 61.67% and 14.10%, respectively), 21 cases (9.25%) were admitted to intensive care unit (ICU), and 4 cases (1.76%) died in hospital due to sepsis, multiple organ dysfunction or traumatic shock. The epidemiological characteristics showed that the first onset age of AP was mainly 7-17 years old (85.02%); the main etiologies were biliary tract disease (29.96%), viral infection (29.07%) and idiopathic factors (19.82%). From 2011 to 2020, the number of children with AP showed a fluctuating trend, and from 2018 to 2020, the number of children with AP increased for three consecutive years. Compared with MAP group, the age of SAP group was significantly older, the proportion of female, the proportion of rural source, acute physiology and chronic health evaluation II (APACHE II), body mass index (BMI), and the levels of white blood cell count (WBC), C-reactive protein (CRP), hospitalization expenses, the proportion of AP caused by traumatic factors and drug factors in SAP group were significantly higher (all P < 0.05). The level of blood calcium and the proportion of AP caused by virus infection were significantly lower, and the length of hospital stay in SAP group was significantly longer (all P < 0.05). The multivariate Logistic regression analysis showed that APACHE II score [odds ratio (OR) = 1.495, 95% confidence interval (95%CI) was 1.293-1.728] and age (OR = 1.352, 95%CI was 1.182-1.546) were closely related to SAP in children (all P < 0.001). CONCLUSIONS: Children with AP mostly occurs in preschool and adolescence, and the overall mortality is relatively low; biliary tract disease, viral infection and idiopathic factors are common causes; APACHE II score and age may be risk factors for SAP in children.

Unveiling the untreated: development of a database algorithm to identify potential Fabry disease patients in Germany.

BACKGROUND: Fabry disease (FD), an X-linked lysosomal storage disorder, is caused by mutations in the gene encoding α-galactosidase A, resulting in lysosomal accumulation of globotriaosylceramide and other glycosphingolipids. Early detection of FD is challenging, accounting for delayed diagnosis and treatment initiation. This study aimed to develop an algorithm using a logistic regression model to facilitate early identification of patients based on ICD-10-GM coding using a German Sickness Fund Database. METHODS: The logistic regression model was fitted on a binary outcome variable based on either a treated FD cohort or a control cohort (without FD). Comorbidities specific to the involved organs were used as covariates to identify potential FD patients with ICD-10-GM E75.2 diagnosis but without any FD-specific medication. Specificity and sensitivity of the model were optimized to determine a likely threshold. The cut-point with the largest values for the Youden index and concordance probability method and the lowest value for closest to (0,1) was identified as 0.08 for each respective value. The sensitivity and specificity for this cut-point were 80.4% and 79.8%, respectively. Additionally, a sensitivity analysis of the potential FD patients with at least two codes of E75.2 diagnoses was performed. RESULTS: A total of 284 patients were identified in the potential FD cohort using the logistic regression model. Most potential FD patients were < 30 years old and female. The identification and incidence rates of FD in the potential FD cohort were markedly higher than those of the treated FD cohort. CONCLUSIONS: This model serves as a tool to identify potential FD patients using German insurance claims data.