Multivariate Stepwise Logistic Regression Analysis Research Articles

Deciphering 18F-DOPA uptake in SDH-related head and neck paragangliomas: a radiomics approach.

To investigate the influence of germline succinate dehydrogenase (SDHx) pathogenic variants on 6-[18F]-fluoro-3,4-dihydroxyphenylalanine (18F-DOPA) Positron Emission Tomography (PET) radiomic signature of head and neck paragangliomas (HNPGLs). Forty-seven patients (20 SDH pathogenic variants carriers) harboring 55 HNPGLs were retrospectively included. HNPGLs were delineated using Nestle adaptive threshold. 128 radiomic features were extracted and harmonized to correct for batch effects. Principal Component Analysis (PCA) was performed to remove redundancy and avoid collinearity. The most representative feature of each component was tested with multivariate stepwise logistic binary regression analysis (LBRA) to identify variables predictive of genetic status. 18F-DOPA Positron Emission Tomography/Computed Tomography (PET/CT) detected 28/29 carotid body HNPGLs, 23/23 jugulotympanic HNPGLs, and 4/4 vagal HNPGLs. SUVmax was significantly higher in SDH-related HNPGLs (p = 0.003). PCA allowed identification of 4 Components. The most representative variables of Component 1 and 2 (including intensity and intensity-related textural features, and not intensity-related textural features, respectively) were Intensity-based (IB)-SUVmedian and Grey Level Run Length Matrix-Long Run Low Gray Level Emphasis (GLRLM-LRLGLE). SDHx HNPGLs exhibited higher activity scores and more homogeneous texture. At patient level, SDHx cases showed significantly higher IB-SUVmedian values (p < 0.001), and lower GLRLM-LRLGLE than sporadic patients (p = 0.005). IB-SUVmedian was found to be an independent predictor of genetic status at lesion (71.0%) and patient level (77.8%). The present study pioneers the application of 18F-DOPA PET radiomics for HNPGLs, suggesting the influence of germline SDH pathogenic variants on 18F-FDOPA uptake intensity and textural heterogeneity. Integrating radiomics with genetic data provides new insights into the correlation between PET features and underlying molecular dysregulation.

Correlation between triglyceride-glucose index and atrial fibrillation in acute coronary syndrome patients: a retrospective cohort study and the establishment of a LASSO-Logistic regression model

BackgroundInsulin resistance (IR) is an independent predictor of atrial fibrillation (AF), but the specific utility of the triglyceride-glucose (TyG) index as a predictive marker for the incidence of AF in the acute coronary syndrome (ACS) population has not yet been explored.ObjectiveTo explore the correlation between TyG index and the risk of AF in ACS patients and to establish a predictive model.MethodsA retrospective study was conducted on 613 ACS patients admitted to the Department of Cardiovascular Medicine at the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine from January 2022 to September 2024. Patients were divided into four groups based on quartiles of TyG index. Patients were further divided into two groups based on the occurrence of AF: the AF group and the non-AF group. Patient information was collected through the hospital's HIS system. Variable selection was completed using LASSO regression algorithms. Multivariate logistic bidirectional stepwise regression analysis was used to explore the correlation between the TyG index and the risk of AF in ACS patients and to construct a regression model. Three different models were constructed by adjusting for confounding factors and restricted cubic spline plots were drawn to validate the significance of the TyG index combined with AF further. The predictive value of the LASSO-multivariate logistic bidirectional stepwise regression model and the TyG index alone for predicting AF in ACS patients was analyzed using the receiver operating characteristic curve.ResultsThe LASSO-multivariate logistic bidirectional stepwise regression algorithm showed that coronary heart disease (CHD), valvular heart disease (VHD), TyG, age (AGE), and diastolic blood pressure (DBP) were risk factors for AF in ACS. The restricted cubic spline model demonstrated a significant linear relationship between a higher TyG index and an increased risk of AF in the ACS patient population. The area under the curve (AUC) for predicting AF in ACS patients using the TyG index and the LASSO-multivariate logistic bidirectional stepwise regression model was 0.65(95%CI = 0.58 ~ 0.73) and 0.71(95%CI = 0.65 ~ 0.77) respectively. Additionally, the correlation between the TyG index and AF was consistent across different subgroups.ConclusionIn ACS patients, the TyG index is a stable and independent predictor of AF, with specific clinical value in identifying the occurrence of AF in this population.

Development of a predictive nomogram for early identification of pulmonary embolism in hospitalized patients: a retrospective cohort study

BackgroundHospitalized patients often present with complex clinical conditions, but there is a lack of effective tools to assess their risk of pulmonary embolism (PE). Therefore, our study aimed to develop a nomogram model for better predicting PE in hospitalized populations.MethodsData from hospitalized patients (aged ≥ 15 years) who underwent computed tomography pulmonary angiography (CTPA) to confirm PE and non-PE were collected from December 2013 to April 2023. Univariate and multivariate stepwise logistic regression analyses were conducted to identify independent predictors of PE, followed by the construction of a predictive nomogram and internal validation. The efficiency and clinical utility of the nomogram model were assessed using receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and clinical impact curve (CIC).ResultsThe study included 313 PE and 339 non-PE hospitalized patients. Male gender, dyspnea or shortness of breath, interstitial lung disease, lower limb deep vein thrombosis, elevated fibrin degradation product (FDP), pulmonary arterial hypertension, and tricuspid regurgitation were identified as independent risk factors. The AUC of the predictive nomogram model was 0.956 (95% CI: 0.939–0.974), demonstrating superior performance compared with the simplified Wells score of 0.698 (95% CI: 0.654–0.741) and the modified Geneva score of 0.758 (95% CI: 0.717–0.799).ConclusionOur study demonstrated that challenges remain in the accuracy of the Wells score and revised Geneva score in assessing PE in hospitalized patients. Fortunately, the nomogram we developed has shown a favorable ability to discriminate PE cases, providing high reference value for clinical practice. However, given that this was a single-center study, we plan to expand efforts to collect data from additional centers to further validate our model.

Glaucoma Screening and Referral Risk Factors in a High-Risk Population: Follow-up Study of the Manhattan Vision Screening Study (NYC-SIGHT)

Précis: Community-based eye health screenings that incorporated fundus photography and optometric exams in a high-risk NYC population effectively identified a higher than average number of participants that required an in-office glaucoma evaluation. Purpose: To report glaucoma screening rates and risk factors associated with referral for in-office glaucoma evaluation in the Manhattan Vision Screening and Follow-up Study (NYC-SIGHT). Methods: In this 5-year, cluster-randomized clinical trial, eligible individuals aged 40 and older were recruited from affordable housing developments and senior centers. Visual acuity with correction, intraocular pressure (IOP) measurements, and non-mydriatic fundus photography were conducted. Images were graded by a glaucoma specialist; those with an abnormal image were referred; those who failed the screening or had an unreadable fundus image were examined by the study optometrist. Chi-squared tests and stepwise multivariate logistic regression analyses were conducted to determine factors associated with glaucoma referral. Results: 708 participants were screened; 189 (26.6%) were referred for an in-office glaucoma evaluation due to an abnormal optic disc image (n=138) or abnormal optometric exam (n=51). Those referred had a mean age 68.5 ±11.7 years and were 60% female, 57% Black, and 37% Hispanic. Stepwise multivariate logistic regression showed participants with self-reported glaucoma (OR 8.096, 95% CI 4.706–13.928, P=0.000), IOP&gt;23 mmHg at the screening (OR 3.944, 95% CI 1.704–9.128, P=0.001), or wore prescription eyeglasses (OR 1.601, 95% CI 1.034–2.48, P=0.035) had higher odds of being referred for an in-office glaucoma evaluation. Of those referred, 106 (56%) attended, 36 participants (34%) were diagnosed with glaucoma and 38 participants (35.8%) as glaucoma suspects. Conclusion: Our findings support public health approaches that focus community-based eye health screenings on high-risk populations and prioritize underserved communities.

Eye movement disorders: A new approach to preliminary screening of Parkinson’s disease

To investigate the characteristics and diagnostic values of the eye movement disorders in patients with Parkinson’s disease (PD-EMDs), this cross-sectional study enrolled 127 Chinese patients with PD and 80 healthy controls, and divided them into training and validation sets based on enrollment time. Performance in the five oculomotor paradigms was assessed using an infrared pupil and a corneal reflection tracking device. The primary characteristics of PD-EMDs were elucidated as inaccurate fixation with high deviation (frequency and total quantity); inaccurate saccades with delayed reaction and low velocity; saccadic pursuit with high deviation, delayed reaction, and velocity; and decreased visual search ability. Subgroup comparison shows that PD-EMDs can be related with PD stages, motor subtypes, frozen gait, and drowsiness. Finally, we developed and externally validated a model for PD preliminary screening using multivariate stepwise logistic regression analysis, comprising four oculomotor parameters (fixation accuracy, pro-saccade velocity, anti-saccade accuracy, and visual search duration), cognition score and educational years. The model has good feasibility with satisfactory performance on the receiver operating characteristic, calibration, and decision curves, and broad clinical applicability with better discrimination for more advanced PD patients and non-tremor-dominant PD patients. A nomogram was created to make the model more user-friendly in the clinical setting. Overall, we have demonstrated the presence of PD-EMDs and their prospective value for PD preliminary screening.

Identification of independent risk factors for hypoalbuminemia in patients with CKD stages 3 and 4: the construction of a nomogram.

Hypoalbuminemia is a common complication in patients with chronic kidney disease (CKD) and is associated with various adverse clinical events. Currently, there are few studies focused on identifying risk factors and constructing models for hypoalbuminemia in patients with CKD stages 3 and 4. This study aims to identify independent risk factors for hypoalbuminemia in patients with CKD stages 3 and 4 and construct a nomogram for predicting the risk of hypoalbuminemia in these patients. A total of 237 patients with CKD stages 3 and 4 treated at Anning First People's Hospital from January to December 2023 were included. Univariate and bidirectional stepwise multivariate logistic regression analyses were used to identify independent risk factors for hypoalbuminemia in these patients. Based on the results of logistic regression analyses, a nomogram was constructed. The model performance was assessed using area under the receiver operator characteristic curve, calibration curves, and decision curve analysis. Hemoglobin, red blood cells, serum sodium, and serum calcium were identified as independent risk factors for hypoalbuminemia in these patients. The contributions of each independent risk factor to hypoalbuminemia were visualized in a nomogram. The area under the receiver operator characteristic curve of the model was 0.819, indicating good discrimination. The calibration curves showed good agreement between predicted and observed outcomes. The decision curve analysis also verified that the model had the good clinical utility. Hemoglobin, red blood cells, serum sodium, and serum calcium were identified as independent risk factors of hypoalbuminemia in patients with CKD stages 3 and 4. The nomogram exhibits good discrimination, calibration, and clinical utility, offering a reliable tool for the early prediction and identification of hypoalbuminemia in these patients.

A Nomogram for Predicting Late-Onset Neurological Deficits in the Natural Course of Kyphosis or Kyphoscoliosis.

Retrospective single-center comparative analysis. To develop a nomogram model for predicting late-onset neurological deficits (LONDs) in patients with kyphosis or kyphoscoliosis. Patients with kyphosis or kyphoscoliosis might suffer from LONDs, and surgical correction may improve neurological function. Nevertheless, there exists a significant gap in the identification of predictive factors for LONDs in these patients. A consecutive series of 244 patients with kyphosis or kyphoscoliosis who underwent corrective surgery between April 2010 and June 2024 were included in our study. Relevant measurements, including the Cobb angle, deformity angular ratio (DAR), and level of the apex were assessed and calculated using X-ray imaging. Spinal cord morphology at the apex of the major curve was evaluated using preoperative axial T2-weighted magnetic resonance imaging (MRI) to categorize patients into three types based on the spinal cord shape classification system (SCSCS). To identify independent risk factors associated with LONDs, we employed univariate analysis followed by backward stepwise multivariate logistic regression analysis. A nomogram was established based on the identified independent risk factors to predict the likelihood of LONDs in patients with kyphosis or kyphoscoliosis. The mean age of the 244 patients was 46.4±17.8 years, with an observed incidence of LONDs at 57.8%. The backward stepwise multivariate logistic regression analysis indicated that age, etiological diagnosis and SCSCS were independent predictors of LONDs. Utilizing these independent risk factors, we constructed a nomogram model to estimate the probability of LONDs. The concordance index (C-index) of the model was 0.912 (95% CI, 0.876-0.947), indicating a satisfactory level of accuracy in predicting the likelihood of LONDs. The predictive factors for LONDs include age, etiological diagnosis and SCSCS. We developed a nomogram model to predict LONDs, which could be useful for patient counseling and facilitating treatment-related decision-making.

To evaluate coronary microvascular obstruction by myocardial contrast echocardiography and its influence on prognosis in patients with ST-segment elevation myocardial infarction

Abstract Background The goal of primary PCI (pPCI) is not only to restore epicardial coronary blood flow quickly but also to provide continuous myocardial tissue level reperfusion through coronary microcirculation. However, the incidence of coronary microvascular obstruction (MVO) after pPCI is as high as 50%-60%, which is closely related to the occurrence of heart failure and increased mortality of patients. Myocardial contrast echocardiography (MCE) is a new noninvasive technique for real-time observation of myocardial microcirculation perfusion in a specific imaging mode. At present, there are few studies on the application of MCE in the evaluation of coronary MVO in STEMI patients in China. Purpose To evaluate coronary MVO by MCE and its influencing factors and prognosis value after pPCI in patients with STEMI. Methods Patients with STEMI who received pPCI from October 2020 to June 2023 in the CCU were enrolled. MCE examination was performed on the 5th to 7th day after pPCI. The patients were divided into the MVO group and Non-MVO group. Major adverse cardiovascular events (MACE) were observed by 6-month follow-up after STEMI onset. Multiple Logistic regression analysis was used to analyze the risk factors for MVO, Multiple Cox regression analysis of the risk factors for MACE and Kaplan-Meier survival curve to compare the cumulative event-free survival of the two groups. Results A total of 98 patients were included in the analysis. The age was 59.88±11.71 years old, and 76(77.55%) were male. MCE examination showed 52 cases in the MVO group and 46 cases in the Non-MVO group. The incidence of MVO was 53.1% (52/98). There were 15 patients with MACE during follow-up. The results of stepwise Multivariate Logistic regression analysis showed that the peak value of cardiac troponin T (cTnT) (OR=1.354,95%CI 1.103-1.661, P=0.004) and without thrombus aspiration (TA) were independent risk factors for MVO (OR=5.588,95%CI 1.915-16.308, P=0.002). Multivariate Cox regression analysis indicated that female (HR=2.891, 95%CI 1.027-8.135, P=0.044), left ventricular ejection fraction (LVEF) &amp;lt;40% (HR=9.960, 95%CI 3.370-29.435, P&amp;lt;0.001) and MVO (HR=5.759,95%CI 1.279-25.935, P=0.023) were independent risk factors for MACE. Kaplan-Meier survival curve showed that the cumulative event-free survival rate in the Non-MVO group was higher than that in the MVO group, and the difference was statistically significant (P=0.0047). Conclusion The incidence of coronary MVO was higher in STEMI patients after pPCI, the peak value of cTnT and without TA were independent risk factors of MVO. The independent risk factors for MACE were female, LVEF &amp;lt; 40%, and MVO.

HbA1c and leukocyte mtDNA levels as major factors associated with post-COVID-19 syndrome in type 2 diabetes patients

Post-COVID-19 syndrome (PCS) is an emerging health problem in people recovering from COVID-19 infection within the past 3–6 months. The current study aimed to define the predictive factors of PCS development by assessing the mitochondrial DNA (mtDNA) levels in blood leukocytes, inflammatory markers and HbA1c in type 2 diabetes patients (T2D) with regard to clinical phenotype, gender, and biological age. In this case-control study, 65 T2D patients were selected. Patients were divided into 2 groups depending on PCS presence: the PCS group (n = 44) and patients who did not develop PCS (n = 21) for up to 6 months after COVID-19 infection. HbA1c and mtDNA levels were the primary factors linked to PCS in different models. We observed significantly lower mtDNA content in T2D patients with PCS compared to those without PCS (1.26 ± 0.25 vs. 1.44 ± 0.24; p = 0.011). In gender-specific and age-related analyses, the mt-DNA amount did not differ significantly between the subgroups. According to the stepwise multivariate logistic regression analysis, low mtDNA content and HbA1c were independent variables associated with PCS development, regardless of oxygen, glucocorticoid therapy and COVID-19 severity. The top-performing model for PCS prediction was the gradient boosting machine (GBM). HbA1c and mtDNA had a notably greater influence than the other variables, indicating their potential as prognostic biomarkers.

12620 Developing Hospital Protocols For Managing Patients With Hypertriglyceridemia-induced Acute Pancreatitis In Diabetic Ketoacidosis Hospitalizations

Abstract Disclosure: U. Agbedia-ejughemre: None. Methods: We queried the combined 2017-2020 nationwide inpatient sample database for all adult hospitalizations for DKA with and without HTG-AP using the ICD-10 revision codes. Baseline characteristics were compared between DKA hospitalizations with and without HTG-AP using Pearson’s χ2 tests and Student’s t-test for categorical and continuous variables. Study endpoints were the incidence, predictors, and outcomes of HTG-AP, including mortality, hospitalization duration, mean hospital costs, and acute in-hospital complications (sepsis, ARDS, and acute renal failure). Predictors of HTG-AP were assessed using stepwise multivariable logistic regression analysis. Illness severity, baseline risk of mortality, and comorbidity burden were adjusted using APR-DRG metrics and CCI. Prolonged hospitalization was defined as the length of hospital stay in the top decile of hospital stay for all hospitalizations in the study. Results: We analyzed 630,435 hospitalizations for DKA. The study cohort was 51.4% male, 57.6% white Americans and 26.1% Blacks, with a mean age of 40 (SD, 16.2) years. Incidence of HTG-AP was 2.1% (13,445). Hospitalizations with HTG-AP were older (mean age: 44 vs. 40 years; P&amp;lt;0.001) and had greater comorbidity (CCI score of 2: 38.7 vs. 33.8; P&amp;lt;0.001) compared with DKA hospitalizations without HTG-AP. While DKA hospitalizations showed an uptrend, increasing from 105,769 to 199,429 hospitalizations (Average annual percent change [AAPC]: 27.04%; P=0.029), the incidence of HTG-AP showed a downtrend from 2650 (2.5%) to 4085 (2.0%) (P=0.006). Predictors of HTG-AP included Hispanic (aOR: 2.45; 95% CI: 1.95-3.07; P&amp;lt;0.001) or Asian race (aOR: 2.48; 95% CI: 1.37-4.48; P=0.003), private insurance (aOR: 1.57; 95% CI: 1.10-2.25; P=0.013), self-pay (aOR: 2.2; 95% CI: 1.49-3.27; P&amp;lt;0.001), APR-DRG moderate risk of mortality (aOR: 1.52; 1.21-1.92; P&amp;lt;0.001), APR-DRG major loss of function (aOR: 1.46; 95% CI: 1.31-1.69; P&amp;lt;0.001), dyslipidemia (aOR: 1.87; 95% CI: 1.47-2.38; P&amp;lt;0.001), hypertension (aOR: 1.39; 95% CI: 1.13-1.72; P=0.002), obesity (aOR: 3.09; 95% CI: 2.42-3.96; P&amp;lt;0.001), obstructive sleep apnea (aOR: 2.05; 95% CI: 1.35-3.10; P=0.001), chronic liver disease (aOR: 9.44; 95% CI: 6.61-13.48; P&amp;lt;0.001), old MI (aOR: 2.11; 95% CI: 1.02-4.38; P=0.045), and COPD (aOR: 2.31; 95% CI: 1.47-3.64; P&amp;lt;0.001). DKA hospitalizations with HTG-AP were correlated with higher risk of septicemia (aOR: 1.20; 95% CI: 1.05-1.69; P=0.029), ARDS (aOR: 1.24; 95% CI; 1.04-2.07; P=0.004), and resource use, including prolonged hospitalization (26.3% vs. 11.1%; P&amp;lt;0.001), and higher mean hospital costs ($57,773 vs. $32,692; P&amp;lt;0.001). Conclusion: HTG-AP was linked to worse outcomes, excluding mortality, in hospital admissions for DKA. There is a need for enhanced diagnostic guidelines and protocols targeting this subgroup of patients could improve outcomes. Presentation: 6/2/2024

Lower peak expiratory flow rate is associated with a higher risk of pneumonia in patients with stroke.

Low peak expiratory flow (PEF) rate is common in patients with stroke. Studies on changes in PEF rates in patients with stroke often have small sample sizes, limiting the generalizability of their findings. This study aimed to compare the PEF rates between patients who were post-stroke with or without pneumonia and age- and sex-matched healthy controls and explore the PEF-pneumonia association among stroke survivors. Prospective observational study. Department of Rehabilitation, the First Affiliated Hospital of Wenzhou Medical University. Initially, 809 patients with stroke undergoing inpatient rehabilitation were recruited. Data collected included the demographics, stroke history, the presence of dysphagia, and the PEF rates on admission. Logistic regression analysis was conducted to identify the PEF threshold as predictive of pneumonia after adjusting for confounders. Patients with stroke had a mean PEF rate of 243.89±139.38 L/min, significantly lower than that of the normal control group. The PEF rate was significantly lower in the pneumonia group than in the non-pneumonia group (P<0.001). Within the stroke cohort, the PEF rates were lower than the predicted rates (P<0.001). Older age, lower PEF(%),and dysphagia were associated with a higher pneumonia risk post-stroke per stepwise multivariate logistic regression analysis. Furthermore, the combination of these three significant predictors (PEF(%), swallowing function, and age) yielded an area under the curve of 0.857 .Regarding age, the cut-off point of ≥65.5 years was the optimal level to discriminate the presence of pneumonia among patients with stroke. For PEF%,the cut-off point of <60% was the optimal level to discriminate the presence of pneumonia among patients with stroke. For screening dysphagia, the patients with impaired safety only and those with impaired safety and efficacy faced a higher pneumonia risk. Patients with stroke exhibited significantly lower peak expiratory flow rates compared to healthy controls after adjusting for age and sex and when compared to their reference values. Decreased PEF rates were independently associated with pneumonia development during inpatient rehabilitation in post-stroke patients. This study suggests that low PEF rates may predict pneumonia and that the prevention of PEF rate decline may prevent pneumonia development.

Social networks and COVID-19 vaccination intention in Dutch middle-aged and older adults in 2020: Insights into individual, interpersonal, community, and societal determinants – The SaNAE study

BackgroundSocial networks, our social relationships, influence the spread of infectious diseases and preventive behaviors such as vaccination. Here, we aimed to assess which individual, interpersonal (social network characteristics), community and societal factors are associated with coronavirus disease 2019 (COVID-19) vaccination intention during the second wave of the COVID-19 pandemic in 2020, prior to vaccine availability. MethodsThis cross-sectional study collected primary data from 5,001 community-dwelling adults aged 40 years and older in the Netherlands, using an online questionnaire from August and November 2020. COVID-19 vaccination intention was measured by assessing whether respondents were willing to receive a COVID-19 vaccination if the vaccines became available. Associations between individual (sociodemographic variables, health, health concerns), interpersonal (social network characteristics including structure, function, and quality), community (social and labor participation) and societal factors (degree of urbanization), and the outcome variables COVID-19 vaccination intention (yes vs no, yes vs unsure, unsure vs no) were assessed in stepwise multivariable logistic regression analyses. p-values < 0.05 indicated statistical significance. ResultsAmong participants (N = 3,396), 59 % reported a positive intention to vaccinate, 35 % were unsure, and 6 % had no intention. Men, individuals of older age, those with a college or university degree, those concerned about their personal and family health, and knowledge about protecting oneself from the virus were more likely to have the intention to vaccinate (versus no intention). Interpersonal factors associated included having a larger network size (social network structure) and a larger proportion of informational supporters (social network function). Living outside of urban areas, a societal factor, was associated with vaccination intention (versus no intention). ConclusionThis study identified key factors influencing COVID-19 vaccination intention. Health promotion efforts should address not only individual factors but also incorporate the social environment. Our findings highlight the importance of organizing social networks to mobilize social support for pandemic preparedness.

Nomogram for predicting the risk of nosocomial infections among obstetric inpatients: a large-scale retrospective study in China

ObjectiveThis study aimed to develop and validate a nomogram for assessing the risk of nosocomial infections among obstetric inpatients, providing a valuable reference for predicting and mitigating the risk of postpartum infections.MethodsA retrospective observational study was performed on a cohort of 28,608 obstetric patients admitted for childbirth between 2017 and 2022. Data from the year 2022, comprising 4,153 inpatients, were utilized for model validation. Univariable and multivariable stepwise logistic regression analyses were employed to identify the factors influencing nosocomial infections among obstetric inpatients. A nomogram was subsequently developed based on the final predictive model. The receiver operating characteristic (ROC) curve was utilized to calculate the area under the curve (AUC) to evaluate the predictive accuracy of the nomogram in both the training and validation datasets.ResultsThe gestational weeks > = 37, prenatal anemia, prenatal hypoproteinemia, premature rupture of membranes (PROM), cesarean sction, operative delivery, adverse birth outcomes, length of hospitalization (days) > 5, CVC use and catheterization of ureter were included in the ultimate prediction model. The AUC of the nomogram was 0.828 (0.823, 0.833) in the training dataset and 0.855 (0.844, 0.865) in the validation dataset.ConclusionThrough a large-scale retrospective study conducted in China, we developed and independently validated a nomogram to enable personalized postpartum infections risk estimates for obstetric inpatients. Its clinical application can facilitate early identification of high-risk groups, enabling timely infection prevention and control measures.

Association between parental factors and child's behaviors during moderate sedation in pediatric dental care.

Managing young children with negative behaviors can be challenging in dental settings. Moderate sedation (MS) is often used as a treatment option for such children. However, children's behavior during MS may vary depending on several variables. These variables include parental factors, such as parental anxiety, coping strategies, and pain catastrophizing. However, this area, particularly in Saudi Arabia, remains underexplored. Therefore, this study aimed to assess the association among parental anxiety, coping style, pain catastrophizing, and children's behavior during MS among Saudi children. Based on sample size calculation, this cross-sectional observational study included 85 children aged 3-5 years undergoing dental treatment under MS at King Saud University, Riyadh, Saudi Arabia. Parental anxiety, coping styles, and pain catastrophizing were assessed using the Modified Dental Anxiety Scale, Brief Coping Orientation to Problems Experienced Scale, and Pain Catastrophizing Scale. Child behavior was evaluated using the Houpt scale during sedation visits, which was video-recorded and independently analyzed by a single evaluator. Data were analyzed using Pearson's chi-squared test, Mann-Whitney U test, and stepwise multivariate logistic regression analyses. The results showed no significant association among parental dental anxiety, pain catastrophizing, and child behaviors during MS. Specific parental coping strategies, such as acceptance, were positively associated with positive sedation outcomes (P = 0.03), while active coping strategies were linked to less favorable outcomes (P = 0.03). Female children had higher sedation failure rates (P = 0.02), and the number of dental treatments was positively associated with success rates (P = 0.03). Parental anxiety and pain catastrophizing did not significantly affect the success of sedation. However, acceptance as a coping strategy was significantly associated with sedation success in pediatric dental care under MS, whereas active coping strategies were associated with less favorable outcomes.

Development and Validation of a Clinical Predictive Nomogram for Assessing the Risk of Recurrence of Acute Pancreatitis in Combined Hypertriglyceridemia.

The objective of this study is to develop and validate a new nomogram-based scoring system for anticipating the recurrence of acute pancreatitis (AP) in combined hypertriglyceridemia (HTG). A total of 292 patients diagnosed with AP combined with HTG participated in this research. Among them, 201 patients meeting the inclusion criteria were randomly divided into training and validation sets at a ratio of 7:3. Clinical data were collected for all patients. In the training set, predictive indicators were chosen through backward stepwise multivariable logistic regression analysis. Subsequently, a nomogram was developed based on the selected indicators. Finally, the model's performance was validated in both the training and validation sets. By employing backward stepwise multivariable logistic regression analysis, we identified diabetes, gallstones, alcohol consumption, and triglyceride levels as predictive indicators. Subsequently, a clinical nomogram that incorporates these four independent risk factors was constructed. Model validation demonstrated an AUC of 0.726 (95% CI 0.644-0.809) in the training set and an AUC of 0.712 (95% CI 0.583-0.842) in the validation set, indicating a good discriminative ability. The Hosmer-Lemeshow test yielded P-values of 0.882 and 0.536 in the training and validation sets, respectively, suggesting good calibration. Calibration curves further confirmed good agreement. Ultimately, decision curve analysis (DCA) emphasized the clinical utility of our model. We have developed a nomogram for predicting the recurrence of AP combined with HTG in patients, and this nomogram demonstrates good discriminative ability, calibration, and clinical utility. This tool holds the potential to assist clinicians in offering more personalized treatment strategies for AP combined with HTG.

Risk Factor for Rash in Patients Receiving Cytarabine and Idarubicin Induction Therapy for Acute Myeloid Leukemia.

Rash is a common adverse event (AE) observed during cytarabine and idarubicin induction therapy in patients with acute myeloid leukemia (AML). Previous studies have highlighted the challenge in predicting the onset and duration of rash. This study aimed to determine the factors that affect the onset of rash in patients receiving induction therapy for AML. This retrospective study involved 97 patients with AML who received induction chemotherapy with cytarabine and idarubicin at the Department of Hematology, Kyushu University Hospital between January 2008 and June 2022. The factors associated with rash were identified through a multivariate stepwise logistic regression analysis. Subsequently, the patient's characteristics were compared between those with risk factors and those without risk factors using a matched pair analysis. Pre-existing leukopenia [odds ratio (OR)=3.294; 95% confidence interval (CI)=1.272-8.531] and good performance status (PS=0) (OR=2.717; 95%CI=1.087-6.792) were significant risk factors for rash development. Conversely, the matched pair analysis indicated that patients with pre-existing leukopenia, excluding those with a PS score of 0, exhibited a significantly (p=0.015) higher incidence of rash than those without it. Both multivariate logistic regression analysis and matched pair analysis identified pre-existing leukopenia as a primary risk factor for rash development associated with cytarabine and idarubicin chemotherapy.

Establishment and validation of a nomogram model containing a triglyceride-glucose index and neutrophil-to-high-density lipoprotein ratio for predicting major adverse cardiac events in patients with ST-segment elevation myocardial infarction.

To analyze the predictive value of the triglyceride-glucose (TyG) index and neutrophil-to-high-density lipoprotein ratio (NHR) for in-hospital major adverse cardiac events (MACE) after percutaneous coronary intervention (PCI) in patients with acute ST-segment elevation myocardial infarction (STEMI), and to establish an associated nomogram model. In this retrospective study, we collected data from consecutive STEMI patients who underwent PCI from October 2019 to June 2023 at the Second People's Hospital of Hefei and the Second Affiliated Hospital of Anhui Medical University, as training and validation sets. Stepwise regression and multivariate logistic regression analysis were performed to screen independent risk factors, and a nomogram model was constructed and evaluated for its predictive efficacy. The TyG index, NHR, urea, diastolic blood pressure, hypertension, and left ventricular ejection fraction were independent risk factors for in-hospital MACE after PCI, and were used to construct the nomogram model. The C-index of the training and validation sets were 0.799 and 0.753, respectively, suggesting that the model discriminated well. Calibration and clinical decision curves also demonstrated that the nomogram model had good predictive power. In STEMI patients, increased TyG index and NHR were closely related to the occurrence of in-hospital MACE after PCI. Our constructed nomogram model has some value for predicting the occurrence of in-hospital MACE in STEMI patients.

Risk factors for in-hospital mortality in recipients of allogeneic hematopoietic stem cell transplantation with acute respiratory distress syndrome: a retrospective study based on the 2023 new definition of acute respiratory distress syndrome

IntroductionARDS (acute respiratory distress syndrome) is the most severe form of acute hypoxic respiratory failure. Most studies related to ARDS have excluded patients with hematologic diseases, let alone allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients. Numerous patients experiencing severe hypoxic respiratory failure do not meet the Berlin definition due to the limitations of diagnosis and treatment. A new definition of ARDS, remove some diagnosis restrictions, was proposed in 2023. Based on the 2023 new definition of ARDS, we investigated the clinical features of ARDS in allo-HSCT recipients and reported risk factors for in-hospital mortality in allo-HSCT recipients defined by the Berlin definition and the new definition of ARDS respectively.MethodsFrom Jan 2016 to Dec 2020, 135 allo-HSCT recipients identified with the new definition and 87 identified with the Berlin definition at three teaching hospitals were retrospectively included in this study. Variables (demographic information, characteristics of hematologic disease and ARDS episode, laboratory tests and SOFA score) with P < 0.05 in univariate logistic regression analysis were included in multivariate stepwise logistic regression analysis. Adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) were reported.ResultsUnder the new definition, SOFA score (OR = 1.351, 95% CI: 1.146–1.593, P < 0.01) were found as an independent risk factor for in-hospital mortality in ARDS after allo-HSCT, while SpO2/FiO2 (OR = 0.984, 95% CI: 0.972–0.996, P < 0.01) was a protective factor. The infusion of peripheral-derived stem cells was found to be a protective factor against in-hospital mortality in post-transplantation ARDS compared with the infusion of bone marrow-derived stem cells (OR = 0.726, 95% CI: 0.164–3.221, P = 0.04). Under the Berlin definition, PaO2/FiO2 (OR = 0.977, 95% CI: 0.961–0.993, P = 0.01, lactate (OR = 7.337, 95% CI: 1.313–40.989, P < 0.01) and AST (OR = 1.165, 95% CI: 1.072–1.265, P < 0.01) were independently associated with in-hospital mortality.ConclusionThese prognostic risk factors we found in allo-HSCT recipients may contribute to closer monitoring and ARDS prevention strategies. These findings require confirmation in prospective, large sample size studies.

Monocyte to High-density Lipoprotein Cholesterol Ratio as a Predictor of Nonalcoholic Fatty Liver Disease in Childhood Obesity.

Inflammation is involved in the development and progression of nonalcoholic fatty liver disease (NAFLD). The monocyte to high-density lipoprotein cholesterol ratio (MHR) has emerged as a marker for various inflammation-related diseases. The aim of the present study was to investigate the association between the MHR and NAFLD in a population with childhood obesity. Based on hepatic ultrasound, a total of 504 children with obesity (357 with NAFLD and 147 without NAFLD) were included in the study. The correlation between the MHR and NAFLD risk factors was assessed by Pearson's and Spearman's analyses. Multivariate stepwise logistic regression analyses were conducted to explore the association between the MHR and the risk of NAFLD. The MHR in patients with NAFLD was significantly greater than that in patients without NAFLD [0.52 (0.44-0.67) versus 0.44 (0.34-0.57), P<0.001]. Multivariate stepwise logistic regression analysis demonstrated that the MHR [odds ratio (OR): 1.033, 95% confidence interval (CI): 1.015-1.051; P<0.001] was an independent predictor of NAFLD in childhood obesity patients, as were age (OR: 1.205, 95% CI: 1.059-1.371; P=0.005], waist circumference [OR: 1.037, 95% CI: 1.008-1.067; P=0.012], and alanine transaminase [OR: 1.067, 95% CI: 1.045-1.089; P<0.001]. Additionally, MHR quartiles showed a significant positive association with the incidence of NAFLD after adjusting for potential confounding factors. The present study showed that the MHR may serve as an available and useful indicator of NAFLD in individuals with childhood obesity.

Predictors of Postoperative Persistent Low Back Pain Following Lumbar Fusion in Patients Older than 75 Years: An Analysis of a Minimum 2-Year Follow-Up

PurposeThis study aimed to evaluate pre- and perioperative predictors associated with persistent low back pain (LBP) following lumbar fusion in patients aged > 75 years. MethodsThis single-center retrospective study examined 310 patients aged > 75 years who underwent lumbar fusion for lumbar degenerative disease (104 males, 206 females; mean age, 79 [75–90] years). The visual analog scale (VAS) score for LBP was examined preoperatively and 2-year postoperatively. The persistent LBP group comprised patients with a 2-year postoperative LBP-VAS score ≥ 3. The demographic and preoperative radiographic parameters were also reviewed. A multivariate stepwise logistic regression analysis was performed of variables with values of P < 0.2 on the univariate analysis. ResultsNinety-nine patients (32%) experienced persistent postoperative LBP. Multivariate logistic regression analysis revealed that age < 82 years, history of previous lumbar decompression, and greater preoperative VAS score for LBP were associated with greater postoperative persistent LBP after lumbar fusion, whereas other factors, such as gender, body mass index, osteoporosis, diabetes mellitus, depression, symptom duration, operative time, estimated blood loss, and spinopelvic sagittal parameters, were not. ConclusionsThis study showed that a relatively younger age, history of preoperative lumbar decompression, and greater preoperative VAS score for LBP were preoperative predictors of postoperative persistent LBP following lumbar fusion in elderly patients. In contrast, preoperative spinopelvic sagittal parameters were not associated with persistent postoperative LBP. Although lumbar fusion is expected to improve LBP, surgeons should pay attention to age, surgical history, and preoperative back pain intensity.