Binary Logistic Regression Analysis Research Articles

Sex differences and risk factors of self-reported suicide attempts in middle-aged Chinese Han patients with first-episode drug-naïve anxious depression: a large-scale cross-sectional study.

This study aims to investigate sex differences and risk factors for self-reported suicide attempts among Chinese Han middle-aged patients with first-episode drug-naïve (FEDN) anxious depression (AD). A total of 1796 patients with FEDN major depressive disorder were enrolled in this study, including 341 middle-aged patients with AD. We compared the prevalence, demographics, and clinical characteristics of suicide attempts between male and female patients with FEDN middle-aged AD. We also explored the risk factors for self-reported suicide attempts in this population using binary logistic regression analysis. The male/female ratio was 91/250 and the age of onset was 51.50 ± 4.13. Our results showed that there were no significant sex differences in the prevalence of self-reported suicide attempts in middle-aged patients with FEDN AD. However, we did find significant differences in several demographic and clinical characteristics between self-reported suicide attempters and non-suicide attempters. Moreover, severe anxiety, measured by the Hamilton Anxiety Rating Scale score, was identified as a risk factor for self-reported suicide attempts in female middle-aged AD patients. Additionally, elevated thyroid peroxidase antibody (TPOAb) levels were linked to self-reported suicide attempts in male AD patients. Our findings suggest that there are no significant sex differences in the prevalence of self-reported suicide attempts in this population, but there may be sex-specific risk factors for self-reported suicide attempts in middle-aged AD. Clinical psychiatrists need to pay attention to thyroid hormone levels in middle-aged anxious depression.

Prevalence, factors associated and management of needle phobia among the general population in Saudi Arabia and Egypt

ObjectiveThis study aims to assess the prevalence of needle phobia among Saudi and Egyptian adult populations. In addition, underlying causes and strategies that can be utilized to address needle fear were investigated.MethodsA cross-sectional online survey study was conducted in Saudi Arabia and Egypt between 1 May and 30 June 2023. Participants aged 18 years and above and living in Saudi Arabia and Egypt were eligible to complete the survey. Participants were invited to participate in this study through social media platforms (Facebook, X, Snapchat, and Instagram). A convenience sampling technique was used to recruit the study participants. A 21-item questionnaire consisting of four sections including a Likert scale score was used to answer the research objectives. Numeric data were presented as mean ± SD. For categorical variables, percentages were used. Comparison between groups were made by Student’s t-test or Mann Whitney test according to data distribution. Chi squared tests for categorical values were conducted. A binary logistic regression analysis was conducted to investigate factors associated with needle phobia.ResultsA total of 4065 participants were involved in this study (Saudi Arabia: 2628 and Egypt: 1437). Around one-third of the study participants (36.5%) confirmed that they have needle phobia. Most of the study participants (81.1%) reported that they have had needle phobia since they were under 18 years of age. Pain, general anxiety, and fear of making a mistake during the procedure were the most commonly reported contributors for fear of needles during or before a medical procedure. Around 15.8% of the study participants reported that they have tried to get rid of phobia from needles. Non-surgical alternatives (such as oral medications and patches) and using smaller/thinner needles were the most commonly reported interventions that reduced fear of needles. Binary logistic regression analysis identified that females, those who are aged (41–50 years), widowed, those with bachelor’s degrees and higher education, and those unemployed were more likely to have needle phobia compared to others.ConclusionOur study highlighted the high prevalence of needle fear within an adult population in Egypt and Saudi Arabia. Females, those who are aged (41–50 years), those widowed, those with higher education degrees, those unemployed, those working in the health sector and people with low income were more likely to have needle phobia compared to others.

Prevalence, awareness, treatment and control of type 2 diabetes in southeast China: A population-based study.

To estimate the prevalence, awareness, treatment, control rate, and influence factors of type 2 diabetes in Fujian province and provide the scientific basic for prevention. A population-based study with the analysis of binary logistic regression was carried out to estimate the odds ratios of the influencing factor on type 2 diabetes. Data of the Patient-Centered Evaluative Assessment of Cardiac Events (PEACE) in southeast China were used. The study sample originated from 12 counties in Fujian province and included 135,352 permanent residents aged 35-75 years in 2021. The prevalence of type 2 diabetes was 18.32% (24,801/135,352). Among them, 13,921 (56.13%) were aware of their condition, 11,894 (47.96%) were receiving treatment, and 4,537 (18.29%) had achieved control of blood glucose. Multivariate logistic regression analysis showed that older age, men, low-family income, low-education level, urban locality, no medical insurance, and histories of myocardial infarction, stroke, dyslipidemia, hypertension, alcohol consumption, and obesity were associated with a higher prevalence of type 2 diabetes. The prevalence of type 2 diabetes among residents aged 35-75 years in southeast China is high, whereas the status of its low awareness, treatment and control is severe, warranting a broad-based global strategy, including greater efforts in earlier screening, and more effective and affordable treatment is essential.

Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese

To investigate the screening and predicting functions of obesity- and lipid-related indices for type 2 diabetes (T2D) in middle-aged and elderly Chinese, as well as the ideal predicted cut-off value. This study's data comes from the 2011 China Health and Retirement Longitudinal Study (CHARLS). A cross-sectional study design was used to investigate the relationship of T2D and 13 obesity- and lipid-related indices, including body mass index (BMI), waist circumference (WC), waist–height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride- glucose index (TyG index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). The unadjusted and adjusted correlations between 13 indices and T2D were assessed using binary logistic regression analysis. The receiver operating characteristic curve (ROC) was used to determine the usefulness of anthropometric indices for screening for T2D and determining their cut‑off value, sensitivity, specificity, and area under the curve (AUC). The study comprised 9488 people aged 45 years or above in total, of whom 4354 (45.89%) were males and 5134 (54.11%) were females. Among them were 716 male cases of T2D (16.44%) and 870 female cases of T2D (16.95%). A total of 13 obesity- and lipid-related indices were independently associated with T2D risk after adjusted for confounding factors (P < 0.05). According to ROC analysis, the TyG index was the best predictor of T2D among males (AUC = 0.780, 95% CI 0.761, 0.799) and females (AUC = 0.782, 95% CI 0.764, 0.799). The AUC values of the 13 indicators were higher than 0.5, indicating that they have predictive values for T2D in middle-aged and elderly Chinese. The 13 obesity- and lipid-related indices can predict the risk of T2D in middle‑aged and elderly Chinese. Among 13 indicators, the TyG index is the best predictor of T2D in both males and females. TyG-WC, TyG-BMI, TyG-WHtR, LAP, and CVAI all outperformed BMI, WC, and WHtR in predicting T2D.

Classifying batted ball outcomes from Division I collegiate baseball players

ABSTRACT Modern technology challenges anecdotal beliefs on baseball performance. The study’s purpose examines these beliefs by classifying batted ball outcomes. Three categories of independent variables (anthropometry, in-game situation, technique-based), from 1,922 batted ball outcomes produced by 230 players, were used to classify the likelihood of hits during 2021 college baseball games. Anthropometry included player’s heights and weights. In-game situation entailed batter side, same side, ahead count, and pitch type. Technique-based variables measured by TrackMan radar included exit speed (ExSp), launch angle (LA), batted ball distance (BBD), and hang time (HT). Binary logistic regression analysis was performed with batted ball outcome as the dependent variable. Independent variables provided a good fit (χ2 (10) = 522.358, p < 0.01) and correctly classified nearly three-fourths of outcomes. Height (β = 0.030, p < 0.05), ExSp (β = 0.023, p < 0.05), LA (β = 0.028, p < 0.01), and BBD (β = 0.067, p < 0.01) each had significant positive associations, yet HT (β = –1.661, p < 0.01) had a significant negative association, with batted ball outcomes. TrackMan provided four significant independent variables. Anthropometry’s contribution to batting outcome was modest, while in-game situation’s impact was non-significant; results contradict anecdotal beliefs of their importance.

Prevalence and associated factors of noise-induced hearing loss among workers in Bishoftu Central Air Base of Ethiopia

Excessive occupational exposure to noise results in a well-recognized occupational hearing loss which is prevalent in many workplaces and now it is taken as a global problem. Therefore, this study aims to assess the prevalence of noise-induced hearing loss and associated factors among workers in the Bishoftu Central Air Base in Ethiopia. An institutional-based cross-sectional study was conducted among 260 central air base workers through face-to-face interviews, an environment noise survey, and an audiometric test for data collection. Data were entered by Epi-data version 3.1 and SPSS was used to analyze the data. Finally, a statistical analysis such as descriptive and binary logistic regression analysis was applied. A P-value < 0.05 at 95% CI was considered statistically significant. The overall prevalence of noise-induced hearing loss and hearing impairments was 24.6 and 30.9%, respectively. The highest prevalence of noise-induced hearing loss was recorded for workers who were exposed to noise levels greater than 90 dBA. Out of 132 workers exposed to the average noise level of 75 dB A, only 5% of workers were affected with noise-induced hearing loss, while 128 workers exposed to an average noise level equal to or greater than 90 dB A, 19.6% of workers were identified with noise-induced hearing loss. Regarding sex, around 21.9% of male workers were identified with noise-induced hearing loss. Workers who were exposed to a high noise level workplace previously or before the Central Air Base workplace were five times (AOR = 5.0, 95% CI 1.74–14.36) more likely affected by noise-induced hearing loss than those workers not previously exposed. Those workers who were exposed to greater or equal to 90dBA noise level were 4.98 times (AOR = 4.98, 95% CI 2.59–9.58) more likely to be exposed to noise-induced levels than those who were exposed to less than 90dBA noise level. Moreover, male air base workers were 3.5 times more likely exposed to hearing impairment than female workers (AOR = 3.5, 95% CI 1.01–12.0). This study identified that the prevalence of noise-induced hearing loss and hearing impairments was significantly high. So implementation of a hearing conservation program, giving noise education, and supplying adequate hearing protective devices (HPDs) are essentials.

Logistic regression analysis of the value of biomarkers, clinical symptoms, and imaging examinations in COVID-19 for SARS-CoV-2 nucleic acid detection.

The detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) nucleic acid detection provides a direct basis for diagnosing Coronavirus Disease 2019. However, nucleic acid test false-negative results are common in practice and may lead to missed diagnosis. Certain biomarkers, clinical symptoms, and imaging examinations are related to SARS-CoV-2 nucleic acid detection and potential predictors. We examined nucleic acid test results, biomarkers, clinical symptoms, and imaging examination data for 116 confirmed cases and asymptomatic infections in Zhuhai, China. Patients were divided into nucleic acid-positive and -false-negative groups. Predictive values of biomarkers, symptoms, and imaging for the nucleic acid-positive rate were calculated by Least Absolute Shrinkage and Selection Operators regression analysis and binary logistic regression analysis, and areas under the curve of these indicators were calculated. Hemoglobin (OR = 1.018, 95% CI: 1.006-1.030; P = .004) was higher in the respiratory tract-positive group than the nucleic acid-negative group, but platelets (OR = 0.996, 95% CI: 0.993-0.999; P = .021) and eosinophils (OR = 0.013, 95% CI: 0.001-0.253; P = .004) were lower; areas under the curve were 0.563, 0.614, and 0.642, respectively. Some biomarkers can predict SARS-CoV-2 viral nucleic acid detection rates in Coronavirus Disease 2019 and are potential auxiliary diagnostic tests.

Analysis of onset-to-door time and its influencing factors in Chinese patients with acute ischemic stroke during the 2020 COVID-19 epidemic: a preliminary, prospective, multicenter study

BackgroundPre-hospital delay in China is a serious issue with unclear relevant reasons, seriously impeding the adoption of appropriate measures. Herein, we analyzed the onset-to-door time (ODT) in Chinese patients with acute ischemic stroke (AIS) and its influencing factors.MethodsWe prospectively recruited 3,459 patients with AIS from nine representative tertiary general hospitals in China between January and June 2022. Patients were divided into ODT ≤ 3 h and ODT > 3 h groups. Following single-factor analysis, binary logistic regression analysis was performed to evaluate the risk factors leading to pre-hospital delay.ResultsIn total, 763 (21.83%) patients arrived at the hospital within 3 h of onset. After adjusting for confounding factors, the risk factors for ODT were residence in rural areas (odds ratio [OR]: 1.478, 95% credibility interval [CI]: 1.024–2.146) and hospital transfer (OR: 7.479, 95% CI: 2.548–32.337). The protective factors for ODT were location of onset ≤ 20 km from the first-visit hospital (OR: 0.355, 95% CI: 0.236–0.530), transportation by emergency medical services (OR: 0.346, 95% CI: 0.216–0.555), history of atrial fibrillation (OR: 0.375, 95% CI: 0.207–0.679), moderate stroke (OR: 0.644, 95% CI: 0.462–0.901), and severe stroke (OR: 0.506, 95% CI: 0.285–0.908).ConclusionsMost patients with AIS fail to reach a hospital within the critical 3-h window. The following measures are recommended to reduce pre-hospital delays: reasonable distribution of hospitals accessible to nearby residents, minimizing interhospital transfer, paying attention to patients with mild stroke, and encouraging patients to use ambulance services. Pre-hospital delays for patients can be reduced by implementing these measures, ultimately improving the timeliness of treatment and enhancing patient prognosis. This study was carried out amid the COVID-19 pandemic, which presented challenges and constraints.

A nomogram based on conventional and contrast-enhanced ultrasound radiomics for the noninvasively prediction of axillary lymph node metastasis in breast cancer patients

BackgroundThis study aimed to investigate whether quantitative radiomics features extracted from conventional ultrasound (CUS) and contrast-enhanced ultrasound (CEUS) of primary breast lesions can help noninvasively predict axillary lymph nodes metastasis (ALNM) in breast cancer patients.MethodA total of 111 breast cancer patients with 111 breast lesions were prospectively enrolled. All the included patients received presurgical CUS screening and CEUS examination and were randomly assigned to the training and validation sets at a ratio of 7:3 (n = 78 versus 33). Radiomics features were respectively extracted based on CUS and CEUS using the PyRadiomics package. The max-relevance and min-redundancy (MRMR) and least absolute shrinkage and selection operator (LASSO) analyses were used for feature selection and radiomics score calculation in the training set. The variance inflation factor (VIF) was performed to check the multicollinearity among selected predictors. The best performing model was selected to develop a nomogram using binary logistic regression analysis. The calibration and clinical utility of the nomogram were assessed.ResultsThe model combining CUS reported ALN status, CUS radiomics score (CUS-radscore) and CEUS radiomics score (CEUS-radscore) exhibited the best performance. The areas under the curves (AUC) of our proposed nomogram in the training and external validation sets were 0.845 [95% confidence interval (CI), 0.739-0.950] and 0.901 (95% CI, 0.758-1). The calibration curves and decision curve analysis (DCA) demonstrated the nomogram’s robust consistency and clinical utility.ConclusionsThe established nomogram is a promising prediction tool for noninvasive prediction of ALN status. The radiomics features based on CUS and CEUS can help improve the predictive performance.

Predictive modelling on the effects of the critical parameters in grain storage systems: A case study in the Philippines

Grain storage system plays a crucial role in preserving the quality and quantity of various grains including wheat kernels. Inefficient storage systems can result in spoilage, loss of quality, and reduction in quantity, leading to significant financial losses in the company. The quality of grains storage is influenced by several factors, including moisture content, protein content and falling number. In this study, the threshold, main, and interactions effects of critical parameters the identified critical parameters on grain storage quality were determined and modelled using ROC curve analysis and binary logistic regression analysis. The ROC curve analysis revealed a AUC of 0.992, 0.952, and 0.991 for moisture content, protein content, and falling number, respectively. Threshold values were also calculated and upon evaluation, the accuracies for all critical parameters yielded a significantly excellent result. The main effects of the critical parameters also significantly predicted the grain storage quality with χ2 of 353.26, p-value of 0.000, and R2 value of 61.81%. Furthermore, the interaction effects of the three critical parameters exhibited the greatest effect on grain storage quality. Through binary logistic regression model, the optimum quality grain storage is achieved at a moisture level of 11.42, protein level of 13.99, and a falling number of 443.55. These findings can be used as basis for the selected milling company and other grain storage companies to monitor these critical parameters and ensure a safe storage and quality grains. The study can be furthered improved by investigating other parameters that can determine grain storage quality.

Correlations between the peripheral coronary fat attenuation index based on computed tomography images, high-risk plaque and degree of coronary artery stenosis in patients with coronary atherosclerosis.

Coronary artery disease can be quantified by measuring the fat attenuation index (FAI). To explore the correlations between FAI, high-risk plaque and the degree of coronary artery stenosis. The clinical data of patients with coronary atherosclerosis who underwent a coronary computed tomography (CT) angiography examination between July 2020 and June 2023 were selected for retrospective analysis. These patients were classified into a high-risk plaque group and non-high-risk plaque group according to the presence of CT high-risk plaque. The diagnostic value of FAI and FAI combined with the degree of stenosis was evaluated for CT high-risk plaque. Differences in age, body mass index, smoking history, FAI and the degree of stenosis between the two groups were statistically significant (all P< 0.05). The results of a binary logistic regression analysis revealed that FAI (odds ratio (OR): 1.131, 95% confidence interval (CI): 1.101-1.173, P< 0.001) and the degree of stenosis (OR: 1.021, 95% CI: 1.012-1.107, P< 0.001) were risk factors for high-risk plaque. The FAI can be used to monitor the inflammation level of the coronary artery; the higher the FAI is, the higher the risk of plaque and degree of stenosis.

Association between the survey-based women’s empowerment index (SWPER) and intimate partner violence in sub-Saharan Africa

BackgroundIntimate partner violence (IPV) is high among women of reproductive age in sub-Saharan Africa (SSA). However, empowering women enables them to confront and mitigate IPV. In this study, we examined the association between the survey-based women's empowerment index (SWPER) and IPV in SSA.MethodsWe used data from the Demographic and Health Surveys of 19 countries conducted from 2015 to 2021. Our study was restricted to a weighted sample of 82,203 women of reproductive age who were married or cohabiting. We used spatial maps to show the proportions of women who experienced past-year IPV. A five-modelled multilevel binary logistic regression analysis was adopted to examine the association between SWPER and IPV. The results were presented using the adjusted odds ratio (AOR) with their respective 95% confidence interval (CI). Statistical significance was set at p < 0.05.ResultsWith physical and emotional violence, the country with the highest prevalence was Sierra Leone, with a prevalence of 39.00% and 38.97% respectively. Rwanda (10.34%), Zambia (11.09%), Malawi (15.00%), Uganda (16.88%), and Burundi (20.32%) were the hotspot countries for sexual violence. Angola (34.54%), Uganda (41.55%), Liberia (47.94%), and Sierra Leone (59.98%) were the hotspot countries for IPV. A high SWPER score in attitudes to violence significantly decreased the odds of IPV [AOR = 0.70; 95% CI = 0.66, 0.75]. Also, women with medium score in decision-making were less likely to experience IPV compared to those with lower scores [AOR = 0.89; 95% CI = 0.83, 0.95]. However, higher odds of experiencing IPV was found among women with medium score in autonomy compared to those with low scores [AOR = 1.07; 95% CI = 1.01, 1.14].ConclusionsOur study has shown that the three dimensions of SWPER significantly predict IPV among women. Consequently, it is crucial that sub-Saharan African countries implement various initiatives, such as IPV advocacy programs and economic livelihood empowerment initiatives. These initiatives should not only aim to improve women's attitudes to domestic violence but also to enhance their social independence, autonomy, and decision-making capacity.

IL21R hypomethylation as a biomarker for distinguishing benign and malignant breast tumours

ABSTRACT Some benign and malignant breast tumours are similar in pathological morphology, which are difficult to be distinguished in clinical diagnosis. In this study, we intended to explore novel biomarkers for differential diagnosis of benign and malignant breast tumours. Methylation EPIC 850K beadchip and RNA-sequencing were used to analyse 29 tissue samples from patients with early-stage breast cancer (BC) and benign breast tumours for differently methylated and expressed genes. The altered methylation of IL21R was semi-quantitatively validated in an independent study with 566 tissue samples (279 BC vs. 287 benign breast tumours) using mass spectrometry. Binary logistic regression analysis was performed to evaluate the association between IL21R methylation and BC. BC-associated IL21R hypomethylation and overexpression were identified in the discovery round. In the validation round, BC patients presented significant IL21R hypomethylation compared to women with benign breast tumours (ORs ≥1.29 per-10% methylation, p-values ≤ 5.69E–14), and this hypomethylation was even enhanced in BC patients with ER-negative and PR-negative tumours as well as with triple-negative tumours. The methylation of IL21R showed efficient discriminatory power to distinguish benign breast tumours from BC (area under curve (AUC) = 0.88), and especially from ER-negative BC (AUC = 0.95), PR-negative BC (AUC = 0.93) and triple-negative BC (AUC = 0.96). We disclosed significant IL21R hypomethylation in patients with BC compared to women with benign breast tumours, and revealed the somatic change of DNA methylation could be a potential biomarker for molecular pathology of BC.

Subjective Poverty, Family Support and Health-Related Well-Being of School-Aged Children in Single-Parent Households in Ghana: The Role of Health Literacy and Duration of Parental Separation

AbstractThis study expands ongoing inquiry and debates on the influence of single-parent households on child health outcomes, particularly in low- and middle-income countries (LMICs), where the phenomenon is rapidly increasing. It examines how conventional (i.e., access to money for children—conceived as experience of poverty—, family support, and experience of social isolation) and contemporary (i.e., health literacy) factors shape the health-related well-being of children in single-parent homes in Ghana in the short-, medium- (five years or less) and long-term (6 years +). It also investigates the extent to which health literacy explains how other factors influence their health-related well-being. Data was gathered through a cross-sectional survey conducted in Kumasi in the Ashanti region of Ghana (n = 337). Based on binary logistic regression and structural equation modelling analysis, health literacy (Odds Ratio, OR, = 1.086, p &lt; 0.05) and social isolation (OR, = 0.584, p &lt; 0.05) were associated with the health-related well-being of children who had been separated from a parent for five years or less while family support (OR = 1.592, p &lt; 0.05) was associated with the health-related well-being of children separated from a parent for more than five years. Health literacy explained the association of experience of poverty (β = -0.012, p &lt; 0.05) and experience of social isolation (β = -0.010, p &lt; 0.10) with their health-related well-being. However, these significant relationships did not differ according to the duration of separation. The results underscore the need to invest in policies and programmes that can reduce exposure to health risks and empower children in single-parent households to contribute to protecting their health-related well-being.

Occurrence of Residual Breast Tumors and Efficacy of MRI in their Detection after Vacuum-assisted Excisional Biopsy.

Residual breast tumors may remain after vacuum-assisted excisional biopsy (VAEB). To determine the incidence of residual breast tumors in patients after VAEB and the efficacy of magnetic resonance imaging (MRI) in detecting these tumors. This retrospective analysis examined patients who received VAEB before a diagnosis of breast cancer (BC) at our hospital from 2015 to 2019. The incidence of residual tumors after VAEB was determined by MRI and pathological examination. The diagnostic value of MRI in detecting residual tumors was determined for all patients and different subgroups. Logistic regression analysis was used to identify factors associated with residual tumors. We examined 147 patients and obtained pathological samples from 146 patients, including 103 (70.5%) with residual tumors and 43 (29.5%) without residual tumors. The MRI examinations demonstrated the complete tumor resection rate was 48.9%. Compared to the pathological results, MRI had a positive predictive value of 77.8%, negative predictive value of 48.8%, specificity of 65.6%, and sensitivity of 60.7%. Further analysis indicated that MRI had moderate accuracies for patients with stage pT-1 (71.9%), stage pTNM-IA (73.1%), and luminal B subtype (78.3%). Binary logistic regression analysis showed that the risk of tumor residue correlated with the pathological stage. Tumor residue is common after VAEB, and MRI has limited accuracy in detecting these residual tumors. However, for small breast tumors and luminal B subtype BC, MRI had higher accuracy in the detection of residual tumors. The risk of tumor residue is closely associated with the pathological stage.

A nomogram to predict mortality in patients with severe fever with thrombocytopenia syndrome

Severe fever with thrombocytopenia syndrome (SFTS) is an acute infectious disease caused by a novel Bunyavirus infection with low population immunity and high mortality rate. Lacking specific therapies, the treatment measures vary with the severity of the disease, therefore, a case control study involved 394 SFTS patients was taken to determine risk factors for mortality. Comparative clinical data from the first 24 h after admission was collected through the electronic medical record system. Independent risk factors for death of SFTS were identified through univariate and multivariate binary logistic regression analyses. The results of the logistic regression were visualized using a nomogram which was created by downloading RMS package in the R program. In our study, four independent mortality risk factors were identified: advanced age(mean 70.45 ± 7.76 years), MODS, elevated APTT, and D-dimer. The AUC of the nomogram was 0.873 (0.832, 0.915), and the model passes the calibration test namely Unreliability test with P = 0.958, showing that the model's predictive ability is excellent. The nomogram to determine the risk of death in SFTS efficiently provide a basis for clinical decision-making for treatment.

The effect of cognitive impairment based on Mini-Mental State Examination (MMSE) on suicidal tendency in patients with schizophrenia: A large cross-sectional study

BackgroundThe effect of cognitive function on suicidal tendency in patients with schizophrenia is still inconclusive. This study aimed to explore the effect of cognitive impairment on suicidal tendency in schizophrenia patients and the risk factors of suicidal tendency in schizophrenia patients with cognitive impairment. MethodsA total of 988 subjects were recruited for this study and finally 517 patients were included in the statistical analysis. Sociodemographic information was collected for each subject. Mini-Mental State Examination (MMSE) was used to assess patients' cognitive functioning. In addition, the Positive and Negative Syndrome Scale (PANSS) positive subscale, Insomnia Severity Index (ISI), and Beck Scale for Suicide Ideation (BSI) were used to assess psychotic symptoms, severity of insomnia, and intensity of suicidal ideation, respectively. ResultsSchizophrenia patients with cognitive dysfunction were significantly less likely to develop suicidal tendencies than those without cognitive dysfunction (P < 0.05, OR = 0.58, 95%CI: 0.39–0.81). In patients with cognitive impairment, those with suicidal tendency had substantially higher scores on BSI, ISI, EC, PD, IRI, F1, and PANSS positive subscale, and took more types of antipsychotic drugs than those without suicidal tendency (all P < 0.05), and the results of binary logistic regression analysis showed that, PANSS positive subscale score (B = 0.06, p = 0.04, OR = 1.07, 95%CI: 1.00–1.13) was a risk factor for suicidal tendencies. ConclusionsOur findings suggest that schizophrenia patients with cognitive dysfunction are significantly less likely to develop suicidal tendencies. Moreover, positive symptom is a risk factor for suicidal tendencies in schizophrenia patients with cognitive dysfunction.

Neonatal sepsis in a tertiary health facility in Cape Coast, Ghana.

Neonatal Sepsis remains a significant burden globally, accounting for over 2.5 million neonatal deaths annually, with low-and middle-income countries (LMIC) including Ghana disproportionately affected. The current study sought to ascertain the prevalence of neonatal sepsis and associated factors based on analysis of institutional records from Cape Coast Teaching Hospital (CCTH) in Ghana. The study involved a retrospective cross-sectional review of randomly sampled medical records of 360 neonates CCTH from January 2018 to December 2021. Descriptive proportions and binary logistic regression analysis were conducted to estimate the prevalence of neonates with sepsis and associated factors. The prevalence of neonates with sepsis over the period was estimated to be 59%, with early-onset neonatal sepsis (EONS) and late-onset neonatal sepsis (LONS) accounting for about 29% and 30%, respectively. Neonatal factors associated with sepsis were low Apgar score (AOR = 1.64; 95% CI:1.01-2.67, p = 0.047) and low birth weight (AOR = 2.54; 95% CI:1.06-6.09, p = 0.037), while maternal factors were maternal education (AOR = 2.65; 95% CI:1.04-6.7, p = 0.040), caesarean deliveries (AOR = 0.45; 95% CI:0.26-0.75, p = 0.003), maternal infection (AOR = 1.79; 95% CI:1.09-2.94, p = 0.020) and foul-smelling liquor (AOR = 1.84; 95% CI:1.09-3.07, p = 0.020). The study underscores the need for improved routine care and assessment of newborns to prevent the onset of neonatal sepsis, with particular emphasis on the neonatal and maternal risk factors highlighted in the current study.

Clinico-epidemiological evaluation of pharmaceutical/non-pharmaceutical poisoning in a referral poisoning emergency in the Central part of Iran

The pattern of poisoning varies in different societies. In this study, we investigated the clinical-epidemiological features and outcomes of poisoned patients based on the substances involved, whether pharmaceutical or non- pharmaceutical toxins. This cross-sectional study involved a retrospective chart review of all poisoned patients who presented to the poisoning emergency hospital in the center of Iran between January 2015 and December 2019. We collected data on socio-demographics, the nature of the poisoning, and the outcomes. Backward stepwise binary regression analysis was conducted to predict the mortality. Throughout the study period, 5777 patients with acute poisoning met the inclusion criteria. Of these, 3524 cases (61%) were attributed to pharmaceutical, and 2253 cases (39%) were due to non-pharmaceutical poisoning. The majority of pharmaceutical poisonings (82.9%) were intentional, whereas non-pharmaceutical poisonings accounted for 46.2% of intentional exposures (P < 0.001). Patients with non-pharmaceutical poisoning were predominantly men, older in age, and had a history of addiction compared to those with pharmaceutical poisoning (P < 0.001). In binary logistic regression analysis, patients poisoned by non-pharmaceutical substances had a significantly higher risk of mortality [Odds ratio, 3.14; (95% CI 1.39–7.10); P = 0.006] compared to those poisoned by pharmaceutical substances (P < 0.001). The pattern of poisoning differs in terms of age and gender when comparing pharmaceutical to non-pharmaceutical poisoning. Patients poisoned by non-pharmaceutical may have a worse outcome compared to those poisoned by pharmaceutical substances.

Correlation analysis of peripheral platelet markers and disease phenotypes in Alzheimer's disease.

Platelets serve as the primary peripheral reservoir of amyloid beta (Aβ). However, there is limited research on platelet markers in routine blood examinations, particularly with regard to the large platelet ratio (P-LCR) in Alzheimer's disease (AD). This study included 512 AD patients and 205 healthy controls (HCs). Platelet markers and apolipoprotein E (APOE) 4 status were assessed in all participants. The study revealed that P-LCR was significantly elevated in AD patients compared to HCs. In AD patients carrying APOE4, P-LCR significantly negatively correlated with Montreal Cognitive Assessment scores. There was an observed increasing trend in the rate of change in P-LCR with disease progression. Binary logistic regression analysis indicated that P-LCR may constitute a risk factor for AD, after adjusting for age, sex, APOE4, and body mass index. P-LCR is associated with disease severity in AD patients carrying APOE4. P-LCR may be a promising marker to reflect platelet activity in AD patients. P-LCR significantly negatively correlated with MoCA scores in AD patients with APOE4. The rate of change in P-LCR showed an increasing trend with disease progression. P-LCR may be a risk factor for AD.