Multivariable Logistic Regression Models Research Articles

Antireflux Procedures in Children With Neurologic Impairment: A National Survey of Physician Perspectives.

Decision-making about antireflux procedures (ARPs) to treat gastroesophageal reflux disease in children with neurologic impairment and gastrostomy tubes is challenging and likely influenced by physicians' experience and perspectives. This study will explore physician attitudes about ARPs and determine if there are relationships to clinical practice and personal characteristics. This is a national observational cross-sectional study that used an electronic questionnaire addressing reported practice, attitudes regarding the ARPs, and responses to clinical vignettes. Participants were physicians in Canadian tertiary-care pediatric settings. Descriptive statistics were used to analyze physician attitudes. Multivariable logistic regression modeling was used to determine associations between physician and practice characteristics and likelihood to consider ARP. Eighty three respondents represented 12 institutions, with a majority from general or complex care pediatrics. There was a wide disparity between likelihood to consider ARP in each clinical scenario. Likelihood to consider ARP ranged from to 19% to 78% depending on the scenario. Two scenarios were equally split in whether the respondent would offer an ARP. None of the demographic characteristics were significantly associated with likelihood to consider ARP. Often, gastrojejunostomy tubes alone were considered (56% to 68%). There is considerable variability in physician attitudes toward and recommendations regarding ARPs to treat gastroesophageal reflux disease. We did not find a significant association with clinical experience or location of practice. More research is needed to define indications and outcomes for ARPs. This is a scenario where shared decision-making, bringing together physician and family knowledge and expertise, is likely the best course of action.

Serum vitamin D concentrations and sleep disorders: insights from NHANES 2011-2016 and Mendelian Randomization analysis.

This investigation seeks to examine the association between serum vitamin D concentrations and the prevalence of sleep disorders, additionally elucidating the causal relationship via Mendelian Randomization (MR) analysis. This research employed data from the National Health and Nutrition Examination Survey (NHANES) 2011-2016, focusing on adults aged 20-50years reporting sleep disorders. The research encompassed 4913 American adults. Weighted multivariable logistic regression models and cubic spline analyses were utilized to evaluate the association between serum vitamin D concentrations and the incidence of sleep disorders. Additionally, a two-sample Mendelian Randomization analysis was performed to evaluate the potential causal link between serum vitamin D concentrations and the risk of sleep disorders. Within the 2011-2016 NHANES cohort of the U.S. population, a notable inverse association was detected between serum vitamin D concentrations and sleep disorders (β = - 3.81, 95% CI: - 6.10 to - 1.52, p = 0.003). After multivariate adjustments, a higher incidence of sleep disorders was associated with lower vitamin D Concentrations (OR 1.52, 95% CI 1.10-2.10, trend p = 0.014). Restricted cubic spline regression analysis indicated a linear association between serum vitamin D concentrations and sleep disorders(non-linearity p > 0.05). Lastly, the two-sample MR analysis yielded evidence supporting a potential causal connection between serum vitamin D concentrations and sleep disorders, with each unit increase in genetically predicted serum vitamin D reducing the odds ratio to 0.78 (95% CI 0.61-0.99, p = 0.044). These results imply that lower vitamin D concentrations in the population might correlate with a heightened risk of sleep disorders, suggesting the importance of considering vitamin D supplementation when treating sleep disorders.

Externally validated treatment algorithm acceptably predicts nonoperative treatment success in patients with anterior cruciate ligament rupture.

This study aims to develop and externally validate a treatment algorithm to predict nonoperative treatment success or failure in patients with anterior cruciate ligament (ACL) rupture. Data were used from two completed studies of adult patients with ACL ruptures: the Conservative versus Operative Methods for Patients with ACL Rupture Evaluation study (development cohort) and the KNee osteoArthritis anterior cruciate Ligament Lesion study (validation cohort). The primary outcome variable is nonoperative treatment success or failure. Potential predictor variables were collected, entered into the univariable logistic regression modeland then incorporated into the multivariable logistic regression model for constructing the treatment algorithm. Finally, predictive performance and goodness-of-fit were assessed and externally validated by discrimination and calibration measures. In the univariable logistic regression model, a stable knee measured with the pivot shift test and a posttrauma International Knee Documentation Committee (IKDC) score <50 were predictive of needing an ACL reconstruction. Age >30 years and a body mass index > 30 kg/m2 were predictive for not needing an ACL reconstruction. Age, pretrauma Tegner score, the outcome of the pivot shift testand the posttrauma IKDC score are entered into the treatment algorithm. The predictability of needing an ACL reconstruction after nonoperative treatment (discrimination) is acceptable in both the development and the validation cohort: area under the curve = resp. 0.69 (95% confidence interval [CI]: 0.58-0.81) and 0.68 (95% CI: 0.58-0.78). This study shows that the treatment algorithm can acceptably predict whether an ACL injury patient will have a(n) (un)successful nonoperative treatment (discrimination). Calibration of the treatment algorithm suggests a systematical underestimation of the need for ACL reconstruction. Given the limitations regarding the sample size of this study, larger data sets must be constructed to improve the treatment algorithm further. Level II.

The synergy between loneliness and cannabis use on suicidal thoughts and behaviors among young adults in higher education

ABSTRACT Background Loneliness continues to be a public health crisis, and cannabis use has increased among some young adults following its legalization in certain states. Loneliness and cannabis use each contributes to suicide risk, but no studies have explored their potential synergy. This study aimed to explore the interaction between loneliness and cannabis use among students in higher education. Methods We analyzed data from the Healthy Minds Study (2020–2021; N = 101,744) and used multivariable logistic regression models to show the synergy between loneliness and cannabis use on suicidal thoughts and behaviors adjusting for sociodemographic variables and mental health. We calculated the interaction contrast ratio to show the synergy of combined exposures. Results While loneliness and cannabis use both increased odds of suicidal thoughts, those who were lonely and used cannabis had the greatest odds, exceeding the sum of these individual effects. The synergy between loneliness and cannabis use on suicide attempt was not statistically significant at a conventional level. Conclusion Synergy exists between loneliness and cannabis use in relation to suicidal thoughts among young adults in higher education. Future research can explore the utility of screening and addressing loneliness and cannabis in tandem for suicide prevention.

Clinical Significance of the Prognostic Nutritional Index in Predicting Delirium among Critically Ill Patients: A Retrospective Cohort Study

Delirium is a serious and complex problem facing critically ill patients. This retrospective study aimed to explore the association between prognostic nutrition index (PNI) and delirium in critically ill patients in the intensive care unit (ICU). This study was based on the Medical Information Mart Intensive Care IV (MIMIC IV) database. Patients over 18 years of age were enrolled. Univariate and multivariate logistic regression analyses were performed to explore the association between PNI and delirium. Tendency analysis, subgroups analysis, and restricted cubic spline (RCS) were selected to further certify the association. The receiver operating characteristic curve (ROC) was adopted to assess the predictability of PNI to delirium. Propensity score matching (PSM) was used to reduce the interference of confounders. A total of 3,105 patients participated in this study. As the grade of malnutrition increases, the incidence of delirium increases in all models. The odds ratios (OR) of delirium in the fully adjusted model were 1.00 (reference), 1.04 (0.80, 1.36), 1.53 (1.17, 1.99), and 1.93 (1.44, 2.59). Strong U-shaped curves were found with RCS analysis between delirium and PNI in the subgroups of patients over 60 years of age and patients with chronic obstructive pulmonary disease (COPD). After PSM, the ORs of delirium were 1.44 (1.16, 1.79) and 1.53 (1.22, 1.93), respectively, in the univariate and multivariate logistic regression models. PNI is negatively associated with the prevalence of delirium in critically ill adults in the ICU. PNI is an independent risk factor for the incidence of delirium in adults in the ICU.

The association between pregnancy levels of blood lipids and the risk of preterm birth

Preterm labor, a condition associated with various risk factors such as a history of prior preterm birth (PTB) and multiple pregnancies, has recently seen an increasing focus on its potential link with dyslipidemia. This study aims to investigate the relationship between dyslipidemia in expectant mothers and the risks of PTB. We studied 6963 mothers who gave birth at the International Peace Maternal and Child Health Hospital of Shanghai Jiaotong University School of Medicine in 2020, among which, 437 women had PTB. We extracted clinical and lipid data from electronic records, using multivariable logistic regression and restricted cubic spline models to explore the link between lipid concentrations (by quartiles) in pregnancy stages and PTB risk. The PTB rate was 6.3%. Early pregnancy in the PTB group showed elevated ApoA, ApoB, CHOL, LDL, and TG levels compared to controls (all P < 0.05). Late pregnancy showed no notable lipid differences. Multivariable analysis revealed elevated ApoA, TG, higher age, BMI ≥ 28 kg/m2, hypertension, assisted reproductive technology and gestational diabetes as PTB risk factors (all P < 0.05). After adjustments, higher ApoA, ApoB, CHOL and TG levels correlated with increased PTB risk. Using the lowest quartile, the adjusted ORs for early pregnancy's highest quartile of ApoA, ApoB, CHOL and TG were 1.348, 1.442, 1.442 and 2.156, respectively. Our findings indicate that dyslipemia in early pregnancy, including elevated levels of ApoA, ApoB, CHOL and TG, are associated with PTB. Managing lipid abnormalities during pregnancy may help reduce the risk of PTB.

Unlocking the adaptive advantage: correlation and machine learning classification to identify optimal online adaptive stereotactic partial breast candidates.

Online adaptive radiotherapy (OART) is a promising technique for delivering stereotactic accelerated partial breast irradiation (APBI), as lumpectomy cavities vary in location and size between simulation and treatment. However, OART is resource-intensive, increasing planning and treatment times and decreasing machine throughput compared to the standard of care (SOC). Thus, it is pertinent to identify high-yield OART candidates to best allocate resources. &#xD;Approach. Reference plans (plans based on simulation anatomy), SOC plans (reference plans recalculated onto daily anatomy), and daily adaptive plans were analyzed for 31 sequential APBI targets, resulting in the analysis of 333 treatment plans. Spearman correlations between 22 reference plan metrics and 10 adaptive benefits, defined as the difference between mean SOC and delivered metrics, were analyzed to select a univariate predictor of OART benefit. A multivariate logistic regression model was then trained to stratify high- and low-benefit candidates.&#xD;Main Results. Adaptively delivered plans showed dosimetric benefit as compared to SOC plans for most plan metrics, although the degree of adaptive benefit varied per patient. The univariate model showed high likelihood for dosimetric adaptive benefit when the reference plan ipsilateral breast V15Gy exceeds 23.5%. Recursive feature elimination identified 5 metrics that predict high-dosimetric-benefit adaptive patients. Using leave-one-out cross validation, the univariate and multivariate models classified targets with 74.2% and 83.9% accuracy, resulting in improvement in per-fraction adaptive benefit between targets identified as high- and low-yield for 7/10 and 8/10 plan metrics, respectively. &#xD;Significance. This retrospective, exploratory study demonstrated that dosimetric benefit can be predicted using only ipsilateral breast V15 Gy on the reference treatment plan, allowing for a simple, interpretable model. Using multivariate logistic regression for adaptive benefit prediction led to increased accuracy at the cost of a more complicated model. This work presents a methodology for clinics wishing to triage OART resource allocation.&#xD.

Development and Validation of an Automated, Real-Time Predictive Model for Postpartum Hemorrhage

OBJECTIVE: To develop and validate a predictive model for postpartum hemorrhage that can be deployed in clinical care using automated, real-time electronic health record (EHR) data and to compare performance of the model with a nationally published risk prediction tool. METHODS: A multivariable logistic regression model was developed from retrospective EHR data from 21,108 patients delivering at a quaternary medical center between January 1, 2018, and April 30, 2022. Deliveries were divided into derivation and validation sets based on an 80/20 split by date of delivery. Postpartum hemorrhage was defined as blood loss of 1,000 mL or more in addition to postpartum transfusion of 1 or more units of packed red blood cells. Model performance was evaluated by the area under the receiver operating characteristic curve (AUC) and was compared with a postpartum hemorrhage risk assessment tool published by the CMQCC (California Maternal Quality Care Collaborative). The model was then programmed into the EHR and again validated with prospectively collected data from 928 patients between November 7, 2023, and January 31, 2024. RESULTS: Postpartum hemorrhage occurred in 235 of 16,862 patients (1.4%) in the derivation cohort. The predictive model included 21 risk factors and demonstrated an AUC of 0.81 (95% CI, 0.79–0.84) and calibration slope of 1.0 (Brier score 0.013). During external temporal validation, the model maintained discrimination (AUC 0.80, 95% CI, 0.72–0.84) and calibration (calibration slope 0.95, Brier score 0.014). This was superior to the CMQCC tool (AUC 0.69 [95% CI, 0.67–0.70], P&lt;.001). The model maintained performance in prospective, automated data collected with the predictive model in real time (AUC 0.82 [95% CI, 0.73–0.91]). CONCLUSION: We created and temporally validated a postpartum hemorrhage prediction model, demonstrated its superior performance over a commonly used risk prediction tool, successfully coded the model into the EHR, and prospectively validated the model using risk factor data collected in real time. Future work should evaluate external generalizability and effects on patient outcomes; to facilitate this work, we have included the model coefficients and examples of EHR integration in the article.

Uptake and factors associated with HIV self-testing among women in South Africa

Background: Human immunodeficiency virus (HIV) self-testing (ST) is a convenient and discreet practice to know HIV status. It is required to reach the underserved population subgroups. We examined the uptake and factors associated with HIVST among reproductive-aged South African women.Methods: A sample of 8182 women from 2016 South African Demographic and Health Survey data were analysed. Percentage and multivariable logistic regression model were conducted. The significance level was set at p 0.05.Results: Approximately 3.1% of women had HIVST uptake. Respondents with primary education had a 75% reduction in the odds of HIVST, compared with women who had no formal education. Women who are employed were 1.44 times as likely to have HIVST uptake compared to those not employed. Women aged 20–24 years, 25–29 years, 30–34 years, and 40–44 years had about two times higher odds of HIVST, when compared with women aged 15–19 years. Women who read newspaper or magazine less than once a week or at least once a week were 1.90 and 2.25 times as likely to have HIVST uptake, respectively, when compared with those who do not read at all.Conclusion: The prevalence of HIVST uptake was low. HIVST was associated with women’s sociodemographic characteristics. The findings highlight the importance of addressing women’s needs to know their HIV status.Contribution: This study adds to the body of literature in understanding the utilisation patterns of HIVST across women in South Africa.

Sustained virological response in chronic hepatitis C patients by direct-acting antiviral treatment significantly reduces liver stiffness over 24 weeks posttreatment.

To investigate whether direct-acting antiviral (DAA) treatment affected liver fibrosis testing, including transient elastography (TE), aspartate aminotransferase-to-platelet ratio index (APRI), and Fibrosis-4 (FIB-4) index, after establishing a sustained virological response for 24 weeks. This prospective cohort study was conducted between October 1, 2019, and September 30, 2020, at Rajavithi Hospital, Bangkok, Thailand. All the patients had significant liver fibrosis (TE ≥ 7.0 kPa) at baseline and completed 12 weeks of DAA therapy. After achieving SVR, liver stiffness measurements were repeated for at least 24 weeks. The primary outcome was a > 30% improvement in TE score at the end of the study compared to baseline. A multivariate logistic regression model was used to identify the parameters associated with the primary outcome. Temporal changes in APRI and FIB-4 indices from baseline to 24 weeks posttreatment were also examined. A total of 110 chronic HCV patients were included in our cohort, of which 57 (52.3%) achieved the primary outcome. The median TE decreased from 15.05 (8.76-23.68) kPa at pretreatment to 9.60 (6.50-14.40) kPa at 24 weeks posttreatment (P < .001). Those who had a baseline TE ≥ 9.5 kPa had higher odds of meeting the primary outcome, and this remained significant after adjusting for age, sex, baseline body mass index, underlying diabetes mellitus, HCV genotype 3, baseline laboratory levels, and treatment regimens (OR 3.04; 95% CI 1.22-7.60, P = .017). Similar to TE, the median APRI and FIB-4 index displayed a considerable reduction from baseline to 24 weeks after successful therapy. Modern DAA treatment has been associated with considerable improvement in liver stiffness measured by TE in chronic HCV patients who achieve SVR, with roughly 52% of patients experiencing a reduction of > 30% in TE over 24 weeks posttreatment compared to baseline. This probably indicates early fibrosis regression, although the effect of resolution of inflammation after treatment completion cannot be ruled out.

Association of geographical disparities and segregation in regional treatment facilities for Black patients with aneurysmal subarachnoid hemorrhage in the United States

Background and objectivesThis study investigates geographic disparities in aneurysmal subarachnoid hemorrhage (aSAH) care for Black patients and aims to explore the association with segregation in treatment facilities. Understanding these dynamics can guide efforts to improve healthcare outcomes for marginalized populations.MethodsThis cohort study evaluated regional differences in segregation for Black patients with aSAH and the association with geographic variations in disparities from 2016 to 2020. The National Inpatient Sample (NIS) database was queried for admission data on aSAH. Black patients were compared to White patients. Segregation in treatment facilities was calculated using the dissimilarity (D) index. Using multivariable logistic regression models, the regional disparities in aSAH treatment, functional outcomes, mortality, and end-of-life care between Black and White patients and the association of geographical segregation in treatment facilities was assessed.Results142,285 Black and White patients were diagnosed with aSAH from 2016 to 2020. The Pacific division (D index = 0.55) had the greatest degree of segregation in treatment facilities, while the South Atlantic (D index = 0.39) had the lowest. Compared to lower segregation, regions with higher levels of segregation (global F test p &amp;lt; 0.001) were associated a lower likelihood of mortality (OR 0.91, 95% CI 0.82–1.00, p = 0.044 vs. OR 0.75, 95% CI 0.68–0.83, p &amp;lt; 0. 001) (p = 0.049), greater likelihood of tracheostomy tube placement (OR 1.45, 95% CI 1.22–1.73, p &amp;lt; 0.001 vs. OR 1.87, 95% CI 1.59–2.21, p &amp;lt; 0.001) (p &amp;lt; 0. 001), and lower likelihood of receiving palliative care (OR 0.88, 95% CI 0.76–0.93, p &amp;lt; 0.001 vs. OR 0.67, 95% CI 0.59–0.77, p &amp;lt; 0.001) (p = 0.029).ConclusionThis study demonstrates regional differences in disparities for Black patients with aSAH, particularly in end-of-life care, with varying levels of segregation in regional treatment facilities playing an associated role. The findings underscore the need for targeted interventions and policy changes to address systemic healthcare inequities, reduce segregation, and ensure equitable access to high-quality care for all patients.

Effect of COVID-19 on the characteristics and outcome of patients who have otitis media with effusion: a case-control study

BackgroundFew studies have examined the otologic symptoms of Coronavirus disease 2019 (COVID-19). The objective of this study was to identify the effect of COVID-19 on the characteristics and outcomes of patients who have otitis media with effusion (OME).MethodsThis case-control study compared the characteristics and outcomes of OME patients who did or did not have COVID-19. A total of 65 patients with previous COVID-19 and 40 patients who did not have COVID-19 (controls) were enrolled from October 1, 2022 to January 31, 2023 at a single institution in China. Demographics, medical histories, morbidities, hearing test results, treatments, and outcomes of the two groups were compared.ResultsThe COVID-19 group had significantly better outcomes from OME than the control group, with higher rates of complete resolution (64.6% vs. 30%) and improvement (30.8% vs. 17.5%), and a lower rate of persistent OME (4.6% vs. 52.5%). Previous COVID-19 was independently associated with a more favorable OME outcome in three multivariate logistic regression models. The COVID-19 group also had a greater improvement in hearing threshold based on air-bone gap measurements.ConclusionThe outcomes of OME patients who had previous COVID-19 were generally good, in that most patients responded well to treatment and achieved complete resolution or improvement within one month.

Association between the triglyceride glucose index and length of hospital stay in patients with heart failure and type 2 diabetes in the intensive care unit: a retrospective cohort study

BackgroundThe coexistence of heart failure and diabetes is prevalent, particularly in Intensive Care Units (ICU). However, the relationship between the triglyceride-glucose (TyG) index, heart failure, diabetes, and the length of hospital stay (LHS) in patients with cerebrovascular disease in the ICU remains uncertain. This study aims to investigate the association between the TyG index and LHS in patients with heart failure and diabetes.MethodsThis retrospective study utilized the Medical Information Mart for Intensive Care (MIMIC)-IV database to analyze patients with diabetes and heart failure. Participants were categorized into quartiles based on the TyG index, and the primary outcome was LHS. The association between the TyG index at ICU admission and LHS was examined through multivariable logistic regression models, restricted cubic spline regression, and subgroup analysis.ResultsThe study included 635 patients with concurrent diabetes and heart failure. The fully adjusted model demonstrated a positive association between the TyG index and LHS. As a tertile variable (Q2 and Q3 vs Q1), the beta (β) values were 0.88 and 2.04, with a 95% confidence interval (95%CI) of -0.68 to 2.44 and 0.33 to 3.74, respectively. As a continuous variable, per 1 unit increment, the β (95% CI) was 1.13 (0.18 to 2.08). The TyG index’s relationship with LHS showed linearity (non-linear p = 0.751). Stratified analyses further confirmed the robustness of this correlation.ConclusionThe TyG index exhibited a linearly positive association with the LHS in patients with both heart failure and diabetes. Nevertheless, prospective, randomized, controlled studies are imperative to substantiate and validate the findings presented in this investigation.

Association between life’s essential 8 and frailty status among cancer survivors in the United States: a cross-sectional analysis

BackgroundFrailty not only affects disease survival but also impacts the long-term function and quality life of all adults diagnosed with and/or treated for cancer.The American Heart Association has introduced Life’s Essential 8 (LE8) as a novel metric for assessing cardiovascular health. Currently, LE8’s application in evaluating the frailty of cancer survivors remains unreported. This research seeks to explore the connection between LE8 scores and frailty levels in cancer survivors across the United States, thereby addressing a significant void in existing studies.MethodsThis study analyzed data from cancer survivors enrolled in the National Health and Nutrition Examination Surveys (NHANES) spanning the years 2005 to 2018, providing a comprehensive dataset. Multivariable logistic regression models were used to examine the linkage between LE8 rankings and frailty condition in cancer survivors. Furthermore, the study delved deeper into this correlation using restricted cubic spline (RCS) curves and subgroup analyses.ResultsIn the fully adjusted model, an increased LE8 level was closely associated with a reduced odds ratio of frailty among cancer survivors, with an OR of 0.95 (95% CI: 0.94–0.96, p < 0.0001).This pattern persisted across different categorizations of LE8 into low, moderate, and high groups, demonstrating a consistent trend. The analysis revealed a non-linear relationship between LE8 scores and frailty status, further supporting a straightforward association (p-value for non-linearity = 0.0729).ConclusionStudies have found that the higher the LE8 score, the less likely a cancer patient is to develop debilitating symptoms.This indicates that the LE8 scores may provide an opportunity for interventions aimed at improving the prognosis of cancer patients.

Polygenic Risk Score Modifies the Association of HbA1c With Hearing Loss in Middle-Aged and Older Chinese: The Dongfeng-Tongji Cohort.

Evidence regarding the modifying effect of the polygenic risk score (PRS) on the associations between glycemic traits and hearing loss (HL) was lacking. We aimed to examine whether these associations can be influenced by genetic susceptibility. This cross-sectional study included 13,275 participants aged 64.9 years from the Dongfeng-Tongji cohort. HL was defined according to a pure tone average >25 dB in the better ear and further classified by severity. Prediabetes and type 2 diabetes (T2D) were defined based on the 2013 criteria from the American Diabetes Association. A PRS was derived from 37 single-nucleotide polymorphisms associated with HL. Multivariable logistic regression models were fitted to estimate the associations of PRS and glycemic traits with HL and its severity. Elevated fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), and T2D were positively associated with higher HL risks and its severity, with odds ratios (ORs) ranging from 1.04 (95% CI 1.00, 1.08) to 1.25 (95% CI 1.06, 1.46). We also found significant interaction between HbA1c and PRS on risks of overall HL and its severity (P for multiplicative interaction <0.05), and the effects of HbA1c on HL risks were significant only in high PRS. Additionally, compared with normoglycemiain the low PRS, T2D was respectively associated with an OR of up to 2.00 and 2.40 for overall HL and moderate to severe HL in the high PRS (P for additive interaction <0.05). PRS modifies the association of HbA1c with HL prevalence among middle-aged and older Chinese.

Attitudes towards snakebite health education and associated factors among residents in China: A national cross-sectional study.

This study aimed to investigate attitudes towards health education on snakebites and to identify the influencing factors among Chinese residents. Additionally, we proposed effective health education strategies for snakebite management. Between May 2022 and February 2023, we conducted a nationwide cross-sectional questionnaire survey using a multistage sampling method with supplementary snowball sampling. We used descriptive analysis, χ2 tests, and univariable and multivariable binary logistic regression models to analyse the data. We included 56 669 respondents in the analysis. The average score for snakebite knowledge was 12.13 ± 5.26 points, with a maximum score of 28. Among the respondents, 72.66 and 63.03% of the residents believed that it was necessary to disseminate knowledge about snakebites and expressed a willingness to receive snakebite training, respectively. Respondents from the northeast region, respondents with a higher education level, and respondents with higher scores for snakebite knowledge, health knowledge, health skills, and social-psychological adjustment skills exhibited more positive attitudes towards snakebite knowledge dissemination and training. Conversely, respondents from eastern or southern China, respondents older than 60, and respondents who lived in rudimentary housing conditions showed a lower perception of the need for snakebite knowledge dissemination and were less willing to participate in snakebite knowledge and skill training. Generally, Chinese residents have positive attitudes towards snakebite knowledge dissemination and training. However, the public lacks sufficient knowledge about snakebites. Therefore, we should pay close attention to areas south of the Yangtze River to strengthen snakebite health education using engaging formats that align with residents' interests, such as short videos or television programmes, in an attempt to and ultimately improve health literacy and prevention awareness.

Characterizing health-related quality of life and identifying disease predictors among patients suspected of having long COVID: an analysis of COMET-ICE clinical trial data

IntroductionLong COVID affects health-related quality of life (HRQoL). Here, we investigate the extent to which symptoms experienced during the acute phase of COVID-19 are significant predictors of the presence of long COVID at 12 weeks.MethodsPost-hoc analysis of COMET-ICE trial data, which assessed sotrovimab vs. placebo for treatment of mild-to-moderate COVID-19 among high-risk patients. Patient-reported outcome measures were completed during the trial, including the inFLUenza Patient-Reported Outcome Plus (FLU-PRO Plus), the 12-Item Short Form (SF-12) Hybrid questionnaire, and the Work Productivity and Activity Impairment Questionnaire: General Health (WPAI:GH). COVID-19 symptoms and impacts (measured by the FLU-PRO Plus) and HRQoL (measured by SF-12 Hybrid and WPAI:GH) were compared between the acute phase (Days 1–21 and 29) and long-COVID phase (at Week 12) among patients with and without long COVID based on COMET-ICE data. Subgroups experiencing long COVID were derived using “All,” “Returning,” and “Persisting” symptomatic definitions. Long-COVID predictors were identified using a multivariate logistic regression model; odds ratios (ORs) and 95% CIs were calculated.ResultsLong-COVID subgroups had significantly higher baseline scores for most FLU-PRO Plus domains and Total Score compared with the non-long-COVID group. WPAI:GH and SF-12 Hybrid scores generally showed significantly more impairment for the long-COVID subgroups at baseline and Week 12 vs. the non-long-COVID group. In the univariate analyses, all FLU-PRO Plus domains were significant predictors of long COVID (all p &amp;lt; 0.05), with the exception of the Sense domain. Older age increased the risk of long COVID (OR 1.02, 95% CI 1.00–1.04, p &amp;lt; 0.05). Non-White patients were significantly less likely to have long COVID by the Returning and Persisting definitions vs. White patients (all p &amp;lt; 0.05). In the multivariate analysis, higher scores for the Nose domain (ORs 3.39–5.60, all p &amp;lt; 0.01) and having COPD (ORs 3.75–6.34, all p &amp;lt; 0.05) were significant long-COVID predictors.ConclusionPatients who progressed to long COVID had higher symptom severity during the acute disease phase and showed significantly greater negative impact on HRQoL over an extended time period from initial infection through at least the subsequent 3 months. The FLU-PRO Plus Nose domain and having COPD were significant predictors of long COVID.

The prevalence of malaria in the five districts of Limpopo Province, South Africa, 2015 - 2017

Background. In South Africa (SA), malaria is endemic in three of nine provinces – KwaZulu-Natal, Mpumalanga and Limpopo. During 2010 - 2014, SA reported that ~47.6% of all malaria cases were imported. Contemporary estimates for the prevalence of malaria in the five districts of Limpopo Province are limited, with unknown proportions of imported malaria cases. We estimated the prevalence of malaria, and the proportion of imported malaria cases in the five districts of Limpopo, from January 2015 to December 2017. Objective. To measure the prevalence of malaria in Limpopo Province, the proportion of malaria cases that are imported and to determine factors associated with malaria from January 2015 to December 2017.Methods. We retrospectively reviewed data routinely collected through the Malaria Information System and Laboratory Information System of the National Health Laboratory Services, and assessed associations with age, sex and district, using a multivariable logistic regression model. Results. From 2015 to 2017, a total of 43 199 malaria cases were reported, of which 3.5% (n=1 532) were imported. The prevalence of malaria in Limpopo Province was the highest in 2017, at 331.0 per 100 000 population. The highest malaria prevalence district was Vhembe, with 647.9 in 2015, 220.3 in 2016 and 659.4 in 2017 per 100 000 population. However, Waterberg had the highest proportion of imported malaria cases 28.5% (437/1 532). In adjusted analyses, ages 15 - 49 years (adjusted odds ratio (aOR) 1.58, 95% confidence interval (CI) 1.48 - 1.68, p&lt;0.001) and &lt;1 year (aOR 1.55, 95% CI 1.37 - 0.74, p&lt;0.001) were at higher odds of having malaria compared with ages ≥65 years. Conclusion. These findings highlight the significant burden of imported malaria in Limpopo Province. There is a need for strengthened surveillance and control programmes in neighboring countries (such as Mozambique, Zimbabwe and Botswana) to reduce the importation and spread of malaria in this region.

Identifying factors associated with physical therapy use versus non‐use among injured workers with back pain in Washington State

AbstractBackgroundThere is little information about predictors of physical therapy (PT) use among injured workers with back pain. The primary objective of this study is to investigate the associations between PT use and baseline factors not routinely captured in workers’ compensation (WC) data.MethodsWe conducted a secondary analysis using the Washington State Workers’ Compensation Disability Risk Identification Study Cohort, which combines self‐reported surveys with claims data from the Washington State Department of Labor and Industries State Fund. Workers with an accepted or provisional WC claim for back injury between June 2002 and April 2004 were eligible. Baseline factors for PT use were selected from six domains (socio‐demographic, pain and function, psychosocial, clinical, health behaviors, and employment‐related). The outcome was a binary measure for PT use within 1 year of injury. Bivariate and multivariable logistic regression models were conducted to evaluate the associations between PT use and baseline factors.ResultsAmong the 1370 eligible study participants, we identified 673 (49%) who received at least one PT service. Baseline factors from five of the six domains (all but health behaviors) were associated with PT use, including gender, income, pain and function measures, injury severity rating, catastrophizing, recovery expectations, fear avoidance, mental health score, body mass index, first provider seen for injury, previous injury, and several work‐related factors.ConclusionWe identify baseline factors that are associated with PT use, which may be useful in addressing disparities in access to care for injured workers with back pain in a WC system.

The relationship between dietary intake of ω-3 and ω-6 fatty acids and frailty risk in middle-aged and elderly individuals: a cross-sectional study from NHANES

BackgroundFrailty is a complex clinical syndrome characterized by a decline in the functioning of multiple body systems and reduced adaptability to external stressors. Dietary ω-3 fatty acids are considered beneficial dietary nutrients for preventing frailty due to their anti-inflammatory and immune-regulating properties. However, previous research has yielded conflicting results, and the association between ω-6 fatty acids, the ω-6: ω-3 ratio, and frailty remains unclear. This study aims to explore the relationship between these factors using the National Health and Nutrition Examination Survey (NHANES) database.Materials and methodsSpecialized weighted complex survey design analysis software was employed to analyze data from the 2005–2014 NHANES, which included 12,315 participants. Multivariate logistic regression models and restricted cubic splines (RCS) were utilized to assess the relationship between omega intake and frailty risk in all participants. Additionally, a nomogram model for predicting frailty risk was developed based on risk factors. The reliability of the clinical model was determined by the area under the receiver operating characteristic (ROC) curve, calibration curves, and decision curve analysis (DCA).ResultsIn dietary ω-3 intake, compared to the T1 group (≤1.175 g/d), the T3 group’s intake level (&amp;gt;2.050 g/d) was associated with approximately 17% reduction in frailty risk in model 3, after rigorous covariate adjustments (odds ratio (OR) = 0.83, 95% confidence interval (CI): (0.70, 0.99)). In dietary ω-6 intake, the T2 group’s intake level (&amp;gt;11.423, ≤19.160 g/d) was associated with a 14% reduction in frailty risk compared to the T1 group (≤11.423 g/d) (OR: 0.86, 95% CI: 0.75, 1.00, p = 0.044). RCS results indicated a non-linear association between ω-3 and ω-6 intake and frailty risk. Both ROC and DCA curves demonstrated the stability of the constructed model and the effectiveness of an omega-rich diet in reducing frailty risk. However, we did not find a significant association between the ω-6: ω-3 ratio and frailty.ConclusionThis study provides support for the notion that a high intake of ω-3 and a moderate intake of ω-6 may contribute to reducing frailty risk in middle-aged and elderly individuals.