INTRODUCTION

Neonatal sepsis is a significant cause of morbidity and mortality, particularly among preterm infants, and remains a pressing global health concern. Early-onset neonatal sepsis is particularly challenging to diagnose due to its nonspecific clinical presentation, necessitating effective and timely diagnostic tools to reduce adverse outcomes. Traditional methods, such as microbial cultures, are slow and often unavailable in resource-limited settings. This study aimed to develop a robust multivariable risk prediction model tailored to improve early detection of Early Onset Sepsis (EOS) among preterm infants in the Philippines.

We conducted a retrospective analysis at a tertiary hospital in the Philippines using data from 1,354 preterm infants admitted between January 2019 and June 2024. Logistic regression models were employed, and predictors were selected through reverse stepwise elimination. Two scoring methods were developed: one based on beta coefficients divided by standard errors and another standardized to a total score of 100. The models were validated using Receiver Operator Characteristic curve analysis.

Version 1 of the scoring model demonstrated an Area Under the Curve (AUC) of 0.991, with a sensitivity of 90.91% and a specificity of 98.10%. Version 2 achieved an AUC of 0.999, with a sensitivity of 96.4% and a specificity of 92.44%.

The developed models provide a reliable, region specific tool for early detection of neonatal sepsis. Further validation across diverse populations and the integration of emerging diagnostic technologies, such as biomarkers and artificial intelligence, are warranted to enhance their applicability and accuracy.

Objective: To investigate the association between the response to repeated negative HIV testing and the risk sexual behaviors in men who have sex with men (MSM) in Chengdu. Methods: A total of 610 MSM were recruited by convenience sampling method through Chengdu Tongle Health Consultation Service Centre from March to May 2022. Data were collected from the MSM through questionnaire survey, including the demographic characteristics, sexual behaviors in the past 6 months, the response to rerpeated negative HIV testing. Univariate and multivariate logistic regression models were conducted to analyze the association between the response to repeated negative HIV testing and risk sexual behavior. Results: A total of 579 (94.9%) participants participated in the questionnaire survey and 354 (61.1%) subjects were included in the study.For the negative HIV testing, some MSM believed that they had taken effective protection measures (17.03±2.20), some believed that they were lucky (7.50±1.87) and some believed that they were at low risk (8.87±3.62). Multivariate logistic regression model showed that protected sexual behavior was negatively associated with group sex (aOR=0.80, 95%CI: 0.67-0.95), lucky was positively associated with casual sex (aOR=1.20, 95%CI: 1.06-1.35), inconsistent condom use (aOR=1.21, 95%CI: 1.06-1.37), group sex (aOR=1.26, 95%CI: 1.00-1.60), and multiple sexual partners (aOR=1.24, 95%CI: 1.09-1.42) and low risk perception was positively associated with multiple sexual partners only (aOR=1.08, 95%CI: 1.01-1.15). Conclusions: There were high levels of recognition of protected sexual behavior and lucky dimensions in response to repeated negative HIV testing and well risk perception in MSM in Chengdu. In HIV testing and counseling services, intervention and risk warning should be strengthened in MSM who believed that they are lucky to improve their awareness of safe sex and reduce the negative effects of fluke mind.
Male ; Humans ; Homosexuality, Male ; HIV Infections/prevention & control* ; Sexual and Gender Minorities ; Sexual Behavior ; HIV Testing ; Logistic Models

Objective: To understand the basic characteristics of previously reported patients with hepatitis C and analyze the related factors affecting their antiviral treatment. Methods: A convenient sampling method was adopted. Patients who had been previously diagnosed with hepatitis C in the Wenshan Prefecture of Yunnan Province and Xuzhou City of Jiangsu Province were contacted by telephone for an interview study. The Andersen health service utilization behavior model and related literature were used to design the research framework for antiviral treatment in previously reported hepatitis C patients. A step-by-step multivariate regression analysis was used in previously reported hepatitis C patients treated with antiviral therapy. Results: A total of 483 hepatitis C patients, aged 51.73 ± 12.06 years, were investigated. The proportion of male, agricultural occupants who were registered permanent residents, farmers and migrant workers was 65.24%, 67.49%, and 58.18%, respectively. Han ethnicity (70.81%), married (77.02%), and junior high school and below educational level (82.61%) were the main ones. Multivariate logistic regression analysis results showed that married patients with hepatitis C (OR = 3.19, 95% CI: 1.93-5.25, compared with unmarried, divorced, and widowed patients) with high school education or above (OR = 2.54, 95% CI: 1.54-4.20, compared with patients with junior high school education or below) were more likely to receive antiviral treatment in the predisposition module. Patients with severe self-perceived hepatitis C in the need factor module (compared with patients with mild self-perceived disease, OR = 3.36, 95% CI: 2.09-5.40) were more likely to receive treatment. In the competency module, the family's per capita monthly income was more than 1,000 yuan (compared with patients with per capita monthly income below 1,000 yuan, OR = 1.59, 95% CI: 1.02-2.47), and the patients had a high level of awareness of hepatitis C knowledge (compared with patients with a low level of knowledge, OR = 1.54, 95% CI: 1.01-2.35), and the family members who knew the patient's infection status (compared with patients with an unknown infection status, OR = 4.59, 95% CI: 2.24-9.39) were more likely to receive antiviral treatment. Conclusion: Different income, educational, and marital statuses are related to antiviral treatment behavior in hepatitis C patients. Family support of hepatitis C patients receiving hepatitis C-related knowledge and their families knowing the infection status is more important in promoting the antiviral treatment of patients, suggesting that in the future, we should further strengthen the hepatitis C knowledge of hepatitis C patients, especially the family support of hepatitis C patients' families in treatment.
Humans ; Male ; Antiviral Agents/therapeutic use* ; China ; Hepatitis C/drug therapy* ; Hepacivirus ; Logistic Models

OBJECTIVES: To study the association between early-life factors (including birth weight, method of birth, gestational age, and history of gestational metabolic disorders) and pubertal timing in girls. METHODS: The stratified cluster sampling method was used to select the girls in grades 2-3 and 7-8 from three primary schools and three middle schools in Guangzhou, China from March to December, 2019, and breast development was examined for all girls. A questionnaire survey was performed to collect the information on early-life factors. The multivariate logistic regression model was used to evaluate the association of gestational metabolic disorders, birth weight, method of birth, and gestational age with pubertal timing in girls. The Bootstrap method was used to assess the mediation effect of body mass index (BMI) (Z score) between high birth weight (≥4 000 g) and pubertal timing. RESULTS: A total of 1 665 girls were enrolled, among whom 280 (16.82%) were judged to have early pubertal timing. The multivariate logistic regression analysis showed that high birth weight was associated with the increased risk of early pubertal timing (OR=2.12, 95%CI: 1.19-3.66, P=0.008). Nevertheless, no significant association was observed between other early-life factors and pubertal timing (P>0.05). The OR for the mediation effect of BMI (Z score) between high birth weight and early pubertal timing was 1.25 (95%CI: 1.09-1.47), accounting for 29.33% of the total effect of high birth weight on early pubertal timing. CONCLUSIONS High birth weight is associated with the increased risk of early pubertal timing in girls, and overweight/obesity may play a partial mediating role in the association between high birth weight and early pubertal timing in girls.
Female ; Humans ; Birth Weight ; Body Mass Index ; China ; Gestational Age ; Logistic Models ; Puberty, Precocious

Objective To understand the current situation and explore the influencing factors of delay in seeking medical treatment for common symptoms of residents in the rural areas of Sichuan province. Methods In July 2019,multi-stage random sampling was carried out in Zigong city,Sichuan province,and the data were collected by face-to-face questionnaire interview.The residents who had lived at hometown for more than half a year in the past year and had seen a doctor in the most recent month were surveyed.Logistic regression was adopted to predict the influencing factors of delay in seeking medical treatment. Results A total of 342 subjects were enrolled,and the incidence of delay in seeking medical treatment was 13.45%(46/342).Compared with the young and middle-aged(<65 years)people,the elderly(≥65 years)people were more likely to have delay in seeking medical treatment (OR=2.187,95%CI=1.074-4.457,P=0.031).The rural residents who gave higher score of the overall quality of township health centers were less likely to have delay in seeking medical treatment (OR=0.854,95%CI=0.735-0.992,P=0.039). Conclusions The occurrence of delay in seeking medical treatment for common symptoms of rural residents in Sichuan province is low.Age and the overall quality evaluation of township health centers affect the occurrence of delay in medical treatment among the rural residents in Sichuan province.Efforts should be made to improve the awareness of disease prevention among the elderly in rural areas.The investment in health resources in township health centers should be increased to strengthen the introduction and training of talents.These measures can improve the health services in township health centers,guide residents to make timely use of health resources,and reduce the occurrence of delay in seeking medical treatment.
Middle Aged ; Aged ; Humans ; Surveys and Questionnaires ; Logistic Models ; Rural Population ; China/epidemiology*

OBJECTIVE: To explore the factors for the failure of non-invasive prenatal testing (NIPT) through multifactorial unconditional Logistic regression analysis. METHODS: A total of 3 410 pregnant women who had visited Dalian Women and Children Medical Group from July 2019 to June 2020 were selected as the study subjects and divided into first success NIPT group (n = 3 350) and first failed group (n = 60). Clinical data including age, weight, body mass index (BMI), gestational week, type of pregnancy (singleton/twin), history of delivery, heparin treatment, and conception method [natural conception/assisted reproductive technology (ART)] were collected. Independent sample t-test and Chi-square test were carried out for comparing the two groups, and multi-factorial unconditional Logistic regression analysis was carried out to explore the factors for the failure of NIPT, and receiver operating characteristic curve (ROC) analysis was used to evaluate the diagnosis and predictive effects. RESULTS: Among the 3 410 pregnant women, 3 350 were assigned to the first success NIPT group, and 60 were assigned to the first failed group, and the first-time failure rate was 1.76% (60/3 410). No significant difference was found in age, weight, BMI and method of conception between the two groups (P > 0.05). Compared with first success group, first failed group had lower sampling gestational weeks, lower proportion of women with previous history of delivery, and higher proportion of twin pregnancies and heparin treatment (P < 0.05). Multi-factorial unconditional Logistic regression analysis indicated that sampling gestational week (OR = 0.931, 95%CI: 0.845 ~ 1.026, P < 0.001) and history of heparin use (OR = 8.771, 95%CI: 2.708 ~ 28.409, P < 0.001) are independent factors for first failed NIPT. One-way unconditional Logistic regression analysis for sampling gestational weeks indicated that the regression equation for NIPT screening failure was Logit (P) = -9.867 + 0.319 × sampling gestational week, with the area under the ROC curve being 0.742, a Jordan index of 0.427, and a cutoff value of 16.36 weeks. CONCLUSION Gestational week and heparin treatment are independent factors for the first failed NIPT. A regression equation has been established and determined the optimal sampling gestational week to be 16.36 weeks, which may provide a reference for the timing of NIPT screening.
Child ; Pregnancy ; Female ; Humans ; Logistic Models ; Prenatal Diagnosis/methods* ; Pregnancy, Twin ; Reproductive Techniques, Assisted

OBJECTIVE: To develop and validate a three-year risk prediction model for new-onset cardiovascular diseases (CVD) among female patients with breast cancer. METHODS: Based on the data from Inner Mongolia Regional Healthcare Information Platform, female breast cancer patients over 18 years old who had received anti-tumor treatments were included. The candidate predictors were selected by Lasso regression after being included according to the results of the multivariate Fine & Gray model. Cox proportional hazard model, Logistic regression model, Fine & Gray model, random forest model, and XGBoost model were trained on the training set, and the model performance was evaluated on the testing set. The discrimination was evaluated by the area under the curve (AUC) of the receiver operator characteristic curve (ROC), and the calibration was evaluated by the calibration curve. RESULTS: A total of 19 325 breast cancer patients were identified, with an average age of (52.76±10.44) years. The median follow-up was 1.18 [interquartile range (IQR): 2.71] years. In the study, 7 856 patients (40.65%) developed CVD within 3 years after the diagnosis of breast cancer. The final selected variables included age at diagnosis of breast cancer, gross domestic product (GDP) of residence, tumor stage, history of hypertension, ischemic heart disease, and cerebrovascular disease, type of surgery, type of chemotherapy and radiotherapy. In terms of model discrimination, when not considering survival time, the AUC of the XGBoost model was significantly higher than that of the random forest model [0.660 (95%CI: 0.644-0.675) vs. 0.608 (95%CI: 0.591-0.624), P < 0.001] and Logistic regression model [0.609 (95%CI: 0.593-0.625), P < 0.001]. The Logistic regression model and the XGBoost model showed better calibration. When considering survival time, Cox proportional hazard model and Fine & Gray model showed no significant difference for AUC [0.600 (95%CI: 0.584-0.616) vs. 0.615 (95%CI: 0.599-0.631), P=0.188], but Fine & Gray model showed better calibration. CONCLUSION It is feasible to develop a risk prediction model for new-onset CVD of breast cancer based on regional medical data in China. When not considering survival time, the XGBoost model and the Logistic regression model both showed better performance; Fine & Gray model showed better performance in consideration of survival time.
Humans ; Female ; Adult ; Middle Aged ; Adolescent ; Breast Neoplasms/epidemiology* ; Cardiovascular Diseases/etiology* ; Proportional Hazards Models ; Logistic Models ; China/epidemiology*

BACKGROUND: Few studies have explored the impact of perchlorate, nitrate, and thiocyanate (PNT) on kidney function. This study aimed to evaluate the association of urinary levels of PNT with renal function as well as the prevalence of chronic kidney disease (CKD) among the general population in the United States. METHODS: This analysis included data from 13,373 adults (≥20 years) from the National Health and Nutrition Examination Survey 2005 to 2016. We used multivariable linear and logistic regression, to explore the associations of urinary PNT with kidney function. Restricted cubic splines were used to assess the potentially non-linear relationships between PNT exposure and outcomes. RESULTS: After traditional creatinine adjustment, perchlorate (P-traditional) was positively associated with estimated glomerular filtration rate (eGFR) (adjusted β: 2.75; 95% confidence interval [CI]: 2.25 to 3.26; P  < 0.001), and negatively associated with urinary albumin-to-creatinine ratio (ACR) (adjusted β: -0.05; 95% CI: -0.07 to -0.02; P  = 0.001) in adjusted models. After both traditional and covariate-adjusted creatinine adjustment, urinary nitrate and thiocyanate were positively associated with eGFR (all P values <0.05), and negatively associated with ACR (all P values <0.05); higher nitrate or thiocyanate was associated with a lower risk of CKD (all P values <0.001). Moreover, there were L-shaped non-linear associations between nitrate, thiocyanate, and outcomes. In the adjusted models, for quartiles of PNT, statistically significant dose-response associations were observed in most relationships. Most results were consistent in the stratified and sensitivity analyses. CONCLUSIONS Exposures to PNT might be associated with kidney function, indicating a potential beneficial effect of environmental PNT exposure (especially nitrate and thiocyanate) on the human kidney.
Adult ; Humans ; United States/epidemiology* ; Nitrates/adverse effects* ; Nutrition Surveys ; Thiocyanates/urine* ; Perchlorates/urine* ; Creatinine ; Environmental Exposure ; Renal Insufficiency, Chronic/epidemiology* ; Logistic Models

Objective: To analyze the difference in depression symptoms and influencing factors between urban and rural elderly people aged ≥65 years old in Anhui Province. Methods: Based on the data from a survey of 68 communities in Anhui Province that implemented the National Elderly Psychological Care Project from 2019 to 2020, the current status of depression symptoms in the elderly was evaluated using the Patient Health Questionnaire-9 (PHQ-9). The difference in the detection rate of depression symptoms between urban and rural elderly people with different characteristics was compared by using the χ² test. The logistic regression model was used to analyze the relevant factors of depression symptoms in urban and rural elderly people. Results: A total of 15 532 elderly people aged≥65 years old were included in the survey. The detection rate of depressive symptoms was 7.12%, which was higher in rural areas (9.08%) than in urban areas (6.48%). Logistic regression showed that chronic diseases were risk factors for depressive symptoms in elderly people from both urban and rural areas. Positive attitudes towards aging and good mental resilience were protective factors for depressive symptoms in elderly people. Having hobby (OR=0.64, 95%CI: 0.45-0.91), good relationship with children (OR=0.56, 95%CI: 0.41-0.76), good relationship with spouse (OR=0.51, 95%CI: 0.37-0.71), and having at least 6 friends (OR=0.48, 95%CI: 0.32-0.71) were the protective factors for depressive symptoms in urban elderly people. A good relationship with neighbors (OR=0.58, 95%CI: 0.41-0.82) and having 1-2 friends (OR=0.40, 95%CI: 0.25-0.64) were the protective factors for depressive symptoms in rural elderly people. Women (OR=1.49, 95%CI: 1.06-2.10) and higher education level (OR=1.81, 95%CI: 1.19-2.74, compared with illiterate/semi-illiterate in primary school; OR=2.94, 95%CI: 1.82-4.76, compared with illiterate/semi-illiterate in junior high school and above) were the risk factors for depressive symptoms in rural elderly people. Conclusion: There are differences between urban and rural areas in depressive symptoms among elderly people in Anhui Province. The detection rate of depression symptoms among rural elderly people is higher, and the influencing factors of depressive symptoms between urban and rural elderly people are also different, which should be treated specifically in the implementation of intervention measures.
Child ; Aged ; Humans ; Female ; Depression/epidemiology* ; Logistic Models ; Risk Factors ; Schools

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q₁, Q₃) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q₁, Q₃) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans ; Male ; Middle Aged ; Young Adult ; Adult ; COVID-19/epidemiology* ; Incidence ; SARS-CoV-2 ; Logistic Models