Well-defined survival outcome disparity across age cutoffs at 45 and 60 for medullary thyroid carcinoma: a long-term retrospective cohort study of 3601 patients.

Background: Medullary thyroid cancer (MTC) is a challenging malignancy. The survival outcome of MTC based on AJCC staging system does not render a discriminant classifier among early stages. Methods: 3601 MTC patients from 2000 to 2018 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Smooth curve fitting, Cox proportional hazard regression and competing risk analysis were applied. Results: A linear correlation between age and log RR (relative risk of overall death) was detected. Overlaps were observed between K-M curves representing patients aged 45-50, 50-55, and 55-60. The study cohort was divided into 3 subgroups with 2 age cutoffs set at 45 and 60. Each further advanced age cutoff population resulted in a roughly "5%" increase in MTC-specific death risks and an approximately "3 times" increase in non-MTC-specific death risks. Conclusions: The survival outcome disparity across age cutoffs at 45 and 60 for MTC has been well defined.

The predictors to self-reported and performance-based physical function in knee osteoarthritis patients: a cross-sectional study.

Background: Osteoarthritis (OA) knee patients have limited ability in physical function, or difficulties with physical tasks and activities may develop disability. This study aimed to observe the predictors of self-reported and performance-based physical function in patients with knee OA by analyzing the impacts of demographic, pathological, and muscle impairment factors. Methods: 135 knee OA patients participated in this study to complete self-reported questionnaires using Knee Injury and Osteoarthritis Outcome Score (KOOS). When measuring performance-based physical function, a 6-meter gait speed (6MGS) test was measured to evaluate their mobility, and a 5-time Sit-to-Stand test (5STS) was assessed to evaluate their balance. Pain intensity, knee extensor and flexor muscle strength, age, body mass index (BMI), durations of symptoms, and radiographic severity were also collected. Spearman correlation and stepwise multiple linear regression were used to explore the association and predictors in self-reported and performance-based physical function. Results: BMI and durations of symptoms did not indicate any significant correlation with either self-reported or performance-based physical function. Age is significantly negatively associated with 6MGS (r 2 = -0.383, p < 0.01), while knee extensor muscle strength has a moderate correlation with 5STS (r 2 = -0.528, p < 0.01). In the stepwise multiple linear regression models, pain intensity (ß = 0.712, p < 0.001), knee flexor muscle strength (ß = 0.112, p = 0.042) were significantly associated with self-reported physical function in daily activities and contributed to 55.0% of the variance in KOOS-PF score. Knee muscle strength, including knee extensor (5STS: ß = -0.428, p < 0.001) and flexor muscle strength (6MGS: ß = 0.367, p < 0.001), were the main predictors with performance-based physical function. Conclusion: Pain intensity was the leading risk factor of self-reported physical function, and knee flexor muscle strength contributed as well. The severity of knee OA, durations of symptoms and BMI did not contribute to physical function. However, knee extensor and flexor muscle strength were the main predictors of performance-based performance. Our results show that strengthening of weak knee muscles in both quadriceps and hamstring muscle strength should be considered a priory consideration in knee OA no matter if people are in the early or end-stage of knee OA.

Frequency and predictors for early-achieved lupus low disease activity state in systemic lupus erythematosus patients treated with telitacicept or belimumab: A real-life, single-center observational study.

Objective: To collect real-world data regarding the attainment of the early-achieved lupus low disease activity state (LLDAS) in systemic lupus erythematosus (SLE) patients receiving telitacicept or belimumab treatment, and identify factors predictive of target achievement. Methods: Eighty-seven SLE patients who received telitacicept (N=42) or belimumab (N=45) were retrospectively reviewed in this observational study. Clinical and laboratory data, disease activity assessment, and glucocorticoid dosage were collected for analysis. Achieving LLDAS at least once within 24 weeks post-treatment was considered as early-achieved LLDAS. Multivariate regression was used to assess baseline predictive variables for early-achieved LLDAS. Subgroup analysis and interaction tests were also performed to examine the robustness of the results across different sets of baseline characteristics. Prognostic stratification for early-achieved LLDAS was established based on the identified risk factors. Results: During the 24-week follow-up period, LLDAS was achieved by at least one time in 49.43% (43/87) of the patients, with sustained achievement through week 24 observed in 36 out of these 43 patients (83.27%). Multivariate analysis revealed that early achievement of LLDAS was particularly observed in patients with higher baseline lymphocyte counts [HR=1.79, 95% CI (1.19-2.67), P=0.005]and serum albumin levels [HR=1.06, 95% CI (1.003-1.12), P=0.039]. Conversely, hematological involvement [HR=0.48, 95% CI (0.24-0.93), P=0.031] predicted lower attainment of early-achieved LLDAS. The use of telitacicept was associated with a reduced risk of failing to attain early achievement of LLDAS [HR=2.55, 95% CI (1.36-4.79), P=0.004]. Subgroup analyses and interaction tests showed a stable relationship between the telitacicept use and LLDAS achievement. The results remained consistent across all subgroup analyses. Significant differences (P<0.001) were observed in the Kaplan-Meier estimates for LLDAS among risk groups based on the number of identified risk factors. Conclusion: The achievement of LLDAS is attainable in the management of SLE patients undergoing treatment with telitacicept or belimumab in real-life clinical practice. Baseline lymphocyte counts, serum albumin levels, hematological involvement and the use of telitacicept serve as robust predictors for early-achieved LLDAS, helping to identify patients who are likely to benefit on the treatment.

Short stature and vaginal dinoprostone as independent predictors of composite maternal-newborn adverse outcomes in induction of labor after one previous cesarean: a retrospective cohort study.

BACKGROUND: The rates of labor induction and cesarean delivery is rising worldwide. With the confluence of these trends, the labor induction rate in trials of labor after cesarean can be as high as 27-32.7%. Induction of labor after one previous cesarean (IOLAC) is a high-risk procedure mainly due to the higher risk of uterine rupture. Nevertheless, the American College of Obstetricians and Gynecologists considers IOLAC as an option in motivated and informed women in the appropriate care setting. We sought to identify predictors of a composite of maternal and newborn adverse outcomes following IOLAC. METHODS: The electronic medical records of women who delivered between January 2018 to September 2022 in a Malaysian university hospital were screened to identify cases of IOLAC. A case is classified as a composite adverse outcome if at least one of these 11 adverse outcomes of delivery blood loss ≥ 1000 ml, uterine scar complications, cord prolapse or presentation, placenta abruption, maternal fever (≥ 38 0C), chorioamnionitis, intensive care unit (ICU) admission, Apgar score < 7 at 5 min, umbilical artery cord artery blood pH < 7.1 or base excess ≤-12 mmol/l, and neonatal ICU admission was present. An unplanned cesarean delivery was not considered an adverse outcome as the practical management alternative for a clinically indicated IOLAC was a planned cesarean. Bivariate analysis of participants' characteristics was performed to identify predictors of their association with composite adverse outcome. Characteristics with crude p < 0.10 on bivariate analysis were incorporated into a multivariable binary logistic regression analysis model. RESULTS: Electronic medical records of 19,064 women were screened. 819 IOLAC cases and 98 cases with composite adverse outcomes were identified. Maternal height, ethnicity, previous vaginal delivery, indication of previous cesarean, indication for IOLAC, and method of IOLAC had p < 0.10 on bivariate analysis and were incorporated into a multivariable binary logistic regression analysis. After adjustment, only maternal height and IOLAC by vaginal dinoprostone compared to Foley balloon remained significant at p < 0.05. Post hoc adjusted analysis that included all unplanned cesarean as an added qualifier for composite adverse outcome showed higher body mass index, short stature (< 157 cm), not of Chinese ethnicity, no prior vaginal delivery, prior cesarean indicated by labor dystocia, and less favorable Bishop score (< 6) were independent predictors of the expanded composite adverse outcome. CONCLUSION: Shorter women and IOLAC by vaginal dinoprostone compared to Foley balloon were independently predictive of composite of adverse outcome.

Shorter stature and dinoprostone labor induction are independent predictors of a composite maternal-newborn adverse outcome excluding unplanned cesarean delivery.

Sexual activity, vaginal symptoms, maternal perineal hygiene behavior, and constipation on ano-vaginal colonization of group B streptococcus in near term pregnancy.

BACKGROUND: Maternal Group B Streptococcus (GBS) colonization is influenced by many factors but results are inconsistent. Consideration of antenatal risk factors may help inform decision making on GBS microbiological culture screening where universal screening is not standard of care. We sought to identify independent predictors of GBS colonization at 34-37 weeks gestation incorporating vaginal symptoms, perineal hygiene measures, sexual activity, and a potential novel factor, constipation. METHODS: In this prospective cross-sectional study, 573 women at 34-37 weeks gestation had an ano-vaginal swab taken and sent for selective culture for GBS. Women were asked about vaginal bleeding, discharge, irritation and candidiasis, antibiotic use during pregnancy, ano-vaginal hygiene practices such as douching and perineal cleansing after toileting, sexual intercourse related activities, and a potential novel factor for GBS carriage, constipation. Maternal basic demographics and obstetric-related characteristics were also collected. Bivariate analyses were performed to identify associates of GBS colonization. All variables with p < 0.05 found on bivariate analysis were then included into a model for multivariable binary logistic regression analysis to identify independent risk factors for GBS colonization. RESULTS: GBS colonization was found in 235/573 (41.0%) of participants. Twenty six independent variables were considered for bivariate analysis. Eight were found to have p < 0.05. Following adjusted analysis, six independent predictors of GBS colonization were identified: ethnicity, previous neonatal GBS prophylaxis, antenatal vaginal irritation, antibiotic use, recent panty liner use, and frequency of sexual intercourse. Vaginal discharge and perineal cleansing were not associated after adjustment. Recent douching and constipation were not associated on bivariate analysis. CONCLUSION: The identification of independent predictors of GBS colonization in late pregnancy may inform the woman and care provider in their shared decision making for microbiological screening at 35-38 weeks gestation in locations where universal GBS screening is not standard of care. ETHICS OVERSIGHT: This study was approved by the Medical Ethics Committee of University Malaya Medical Centre (UMMC) on August 9, 2022, reference number 2022328-11120.

Predictors of Outcomes in Cerebellar Stroke: A Retrospective Cohort Study From the National Inpatient Sample Data.

Cerebellar strokes have high morbidity and mortality due to bleeding or edema, leading to increased pressure in the posterior fossa. This retrospective cohort study analyzed three outcomes following a cerebellar stroke: in-hospital mortality, length of hospital stay, and total hospitalization costs. It uses data from the National Inpatient Sample (NIS) and aims to identify the predictors of outcomes in cerebellar stroke patients, including 464,324 patients, 18 years of age and older, hospitalized between 2010 and 2015 in US hospitals with cerebellar strokes. In our study, for every decade age increased beyond 59 years, there was a significant increase in mortality; those aged 80+ years had 5.65 odds of mortality (95% CI: 5.32-6.00; P < 0.0001). Significant differences in patient characteristics were observed between patients who survived to discharge and those who did not, including older age (77.4 vs. 70.3 years; P < 0.0001), female sex (58% vs. 52%; P < 0.0001), and being transferred from another healthcare facility (17% vs. 10%; P < 0.0001). Patients admitted directly rather than through the emergency department were more likely to die (29% vs. 16%; P < 0.0001). The mortality rate was lower for blacks (OR: 0.75; P < 0.0001), Hispanics (OR: 0.91; P = 0.005), and Asians (OR: 0.89; P = 0.03), as compared to the white population, for females in comparison to males, and geographically, in all other areas (Midwest, South, and West) in contrast to the Northeast. Cerebellar stroke incidence and high mortality were seen in the traditional stroke belt. Mortality is also affected by the severity of the disease and increases with the Charlson Comorbidity Index (CCI), All Patient Refined Diagnosis Related Groups (APR-DRG) scores, and indirectly by place of receiving care, length of stay (LOS), cost of stay, type of insurance, and emergency department admissions. LOS increased with age, in males in the Northeast, and was less in whites compared to other races. Trend analysis showed a decrease in LOS and costs from 2010 to 2015. Increased costs were seen in non-whites, males, higher household income based on zip code, being covered under Medicaid, transfers, CCI ≥ 5, and discharges in the western US. Median household income based on the patient's zip code was well-balanced between those who lived and those who died (P = 0.091). However, payers were not evenly distributed between the two groups (P < 0.0001 for the overall comparison). A higher proportion of discharges associated with in-hospital mortality were covered under Medicare (70% vs. 65% in the died vs. lived groups, respectively). Fewer discharges were associated with death if they were covered by commercial insurance or paid for out-of-pocket (15% vs. 19% for commercial insurance and 3% vs. 5% for out-of-pocket). In-hospital mortality was associated with a longer length of hospital stay (5.6 days vs. 4.5 days; P < 0.0001) and higher costs ($16,815 vs. $11,859; P < 0.0001). Variables that were significantly associated with lower total costs were older age, having commercial insurance, paying out-of-pocket or other payers, not being admitted through the emergency department, having a lower comorbidity index (CCI = 1-2), and being discharged from a hospital that was small- or medium-sized, located in the Midwest or South, and/or was non-teaching (rural or urban).

Clinical characteristics and impact of pseudo-lumen blood flow on long-term vessel dilatation in spontaneous isolated dissection of superior mesenteric/celiac artery.

This study aimed to identify the clinical characteristics associated with spontaneous isolated dissection of superior mesenteric artery/celiac artery (SIDSMA/SIDCA). This observational study, conducted at Toranomon Hospital, Japan between 2009 and 2020, analyzed consecutive SIDSMA/SIDCA cases based on radiology data. The study compared clinical characteristics between symptomatic and asymptomatic patients with SIDSMA/SIDCA and investigated factors related to future vessel dilatation. Among 57 cases (44 SIDSMA, 17 SIDCA, and 4 both), the majority were male (87.7%), nearly half having hypertension (43.9%) and smokers (48.9%). Of those, 17 cases (29.8%) were symptomatic; abdominal pain (94.1%), back pain (23.5%), nausea (17.6%) and fever (5.9%). The symptomatic group was younger (52.6 ± 9.4 versus 67.2 ± 7.9 years, P < 0.001), had higher systolic and mean blood pressure (142.6 ± 20.0 versus 129.5 ± 16.5 mmHg, P = 0.017; 96.1 ± 14.6 versus 88.2 ± 17.7 mmHg, P = 0.038), a higher white blood cell count (9975 ± 5032 versus 6268 ± 1991 /µL, P = 0.012), and a higher LDL cholesterol level at diagnosis (129.7 ± 21.7 versus 87.2 ± 25.6 mg/dL, P = 0.002) than the asymptomatic group. The factors associated with future vessel dilatation included the presence of pseudo-lumen flow in the dissection vessel (73.9% versus 41.4%, p = 0.019) and a larger vessel diameter (13.5 ± 2.4 mm versus 11.5 ± 2.1 mm, p = 0.005) at diagnosis after multiple adjustments, pseudo-lumen flow was a predictor of future vessel dilatation (odds ratio, 4.80; 95% confidence interval, 1.11-20.75; p = 0.036). The study revealed that only 30% of SIDSMA/SIDCA cases were symptomatic. Symptomatic cases were generally younger and exhibited higher blood pressure and elevated white blood cell counts. These findings offer valuable insights for the acute diagnosis of SIDSMA/SIDCA.

Intake Characteristics as Predictors of Psychotherapy Outcome in a Practice Research Network in Argentina.

There are few studies exploring intake diagnostic characteristics as predictors of change in integrative naturalistic settings. The aim of this study is to explore baseline variables at the intake process and establish the predictive value of the individual trajectories of the patients. We recruited 259 patients undergoing an integrative psychotherapy network of psychotherapists from Buenos Aires, Argentina. Every therapist completed the intake form of each patient involved in the routine outcome monitoring. Thereafter step-wise regressions based on forward selection strategies were used, in order to identify meaningful baseline predictors of patients' clinical evolution, derived from the intake process. The selected predictors were social support network, subjective distress, the initial measure of clinical distress, unemployment, sociocultural status and reactance. When including those six variables in a multilevel model, the results indicate that social support network, subjective distress, and the initial measure of clinical distress were significant predictors of the trajectories of OQ-30, whereas unemployment, sociocultural status and reactance were not significant. The results regarding social support network are in line with the literature, while results of socioeconomic status (unemployment and sociocultural level) move in an opposite direction in comparison to the available evidence. Moreover, the mental health findings (initial OQ-30 and subjective distress) confirm the contradictory body of literature produced in this domain. Finally, reactance seems to be a significant predictor in previous study in contradiction of our results. Overall, this endeavor constitutes important but preliminary evidence to enhance the production of bottom-up science within practice research networks in the global south.

Predictors for the Differentiation between Glioblastoma, Primary Central Nervous System Lymphoma, and Metastasis in Patients with a Solitary Enhancing Intracranial Mass.

Introduction Differentiation between glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and metastasis is important in decision-making before surgery. However, these malignant brain tumors have overlapping features. This study aimed to identify predictors differentiating between GBM, PCNSL, and metastasis. Materials and Methods Patients with a solitary intracranial enhancing tumor and a histopathological diagnosis of GBM, PCNSL, or metastasis were investigated. All patients with intracranial lymphoma had PCNSL without extracranial involvement. Demographic, clinical, and radiographic data were analyzed to determine their associations with the tumor types. Results The predictors associated with GBM were functional impairment ( p = 0.001), large tumor size ( p < 0.001), irregular tumor margin ( p < 0.001), heterogeneous contrast enhancement ( p < 0.001), central necrosis ( p < 0.001), intratumoral hemorrhage ( p = 0.018), abnormal flow void ( p < 0.001), and hypodensity component on noncontrast cranial computed tomography (CT) scan ( p < 0.001). The predictors associated with PCNSL comprised functional impairment ( p = 0.005), deep-seated tumor location ( p = 0.006), homogeneous contrast enhancement ( p < 0.001), absence of cystic appearance ( p = 0.008), presence of hypointensity component on precontrast cranial T1-weighted magnetic resonance imaging (MRI; p = 0.027), and presence of isodensity component on noncontrast cranial CT ( p < 0.008). Finally, the predictors for metastasis were an infratentorial ( p < 0.001) or extra-axial tumor location ( p = 0.035), smooth tumor margin ( p < 0.001), and presence of isointensity component on cranial fluid-attenuated inversion recovery MRI ( p = 0.047). Conclusion These predictors may be used to differentiate between GBM, PCNSL, and metastasis, and they are useful in clinical management.

Effect of Age at Diagnosis on the Prognosis of Gastric Cancer Patients: A Population-Based Study in Georgia.

INTRODUCTION: The national burden of gastric cancer (GC) is high in Georgia, which is determined by its high mortality and low survival. The study aimed to estimate the effect of age at diagnosis on the prognosis of GC patients diagnosed between 2015 and 2020 in Georgia. MATERIALS AND METHODS: We obtained data for the study from the national population-based cancer registry. All patients 15 years of age or older, diagnosed during 2015-2020 with invasive GC (site codes C16.0 to C16.9, International Classification of Diseases for Oncology), were eligible for inclusion in the analysis. We produced survival curves using the Kaplan-Meier method, and the log-rank test was used to compare survival between groups. Hazard ratios (HR) were estimated using univariate Cox proportional models and multivariate Cox proportional hazard models. The endpoint of the study was overall survival (OS). The level of statistical significance of the study findings was estimated using p-values and 95% confidence intervals (CI). A p-value<0.05 was considered statistically significant.  Results: A total of 1,828 gastric cancer cases were included in the statistical analysis. The average age of patients was 65 years. The bivariate Cox's regression analysis demonstrated that the risk of gastric cancer mortality increased gradually with the age of cancer patients. The HR and 95% CI were as follows: 1.5 (1.1-1.8) and 2.1 (1.5-2.5) in the 46-65 years and >65 years groups, respectively, with the <46 years group as a reference. Moreover, multivariable Cox's regression analysis proved that age is an independent risk factor for GC mortality (HR = 1.4; 95% CI = 1.2-1.8; p<.001).  Conclusion: We found that age at diagnosis was a significant predictor of the worse survival of GC patients diagnosed between 2015 and 2020 in Georgia.

Serum direct bilirubin as a prognostic marker for short-term ischemic stroke morbidity and mortality: Pooled analysis of cohort studies.

OBJECTIVES: Recent research on serum bilirubin's impact on stroke outcomes presents conflicting evidence. Higher bilirubin levels have been associated with both protective effects against ischemic stroke and increased risk of poor neurological recovery and higher mortality. MATERIALS AND METHODS: Systematic searching of the PubMed and SCOPUS databases from inception till April 2024 yielded 139 studies of which four were included for analysis. Adhering to MOOSE guidelines, we specifically assessed the association between high versus low direct bilirubin (DBIL) levels and poor neurological recovery using a narrowly defined criterion of the Modified Rankin Scale (mRS) score from 2 to 6. RESULTS: The pooled analysis from four studies analyzed data, encompassed 12,632 acute ischemic stroke hospitalizations, indicates a significant association between high serum DBIL and increased risk of poor neurological recovery (OR: 1.89, 95% CI: [1.28-2.77], p < 0.01), with moderate study heterogeneity (I2 = 58%, p = 0.07). Publication bias was mild, with an LFK index of - 1.81. CONCLUSION: Our findings suggest a potential association between elevated DBIL and a higher risk of post-stroke morbidity and mortality, indicating the need for further research to explore DBIL as a potential predictor of post-stroke neurological recovery and to understand its role in ischemic stroke pathophysiology better.

Beneficial therapeutic plasma exchange response in the treatment of severe relapses in patients with multiple sclerosis.

PURPOSE: Therapeutic plasma exchange (PLEX) is effective as a second-line treatment of severe relapses of multiple sclerosis (MS) that failed to respond to standard steroid therapy. Our objective was to evaluate the effectiveness of PLEX in the severe MS relapses in a cohort of patients treated at Neurology Clinic, University Clinical Centre of Serbia, Belgrade, from 2007 until 2020. METHODS: This retrospective study comprised 107 MS patients with 127 severe relapses treated with PLEX. Majority of our patients suffered from relapsing remitting MS (83.2%), 12.1% had secondary progressive MS and 4.7% had primary progressive MS. Mean age was 39.2 years (range, 19-79 years), female/male ratio 2.3:1. Pulse corticosteroid treatment was used before PLEX in 99.3% of patients. Median EDSS score at nadire during relapse was 6.0 (range 2.0-10.0). After PLEX, 73.8% relapses showed a marked clinical improvement, 7.1% showed mild improvement and in 19.0% there was no improvement. Median EDSS at discharge was 4.0 (6.0 at nadir of relapse vs. 4.0 at discharge; p<0.0001) and it was sustained at the same level, 6 month after PLEX. Multivariate regression analysis showed that higher EDSS at nadir during relapse (OR=0.63, 95% CI 0.41-0.96, p=0.039) and older age (OR=1.07, 95% CI 1.02- 1.12, p=0.010) were significantly associated with poor treatment response after 6- month follow-up. Adverse events occurred in 17.3 of procedures and they were completely resolved. CONCLUSION: Our study in a large cohort of MS patients confirmed that PLEX is effective.

Calculating the power of a planned individual participant data meta-analysis to examine prognostic factor effects for a binary outcome.

Collecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned IPDMA before collecting IPD. Here we propose a method to estimate the power of a planned IPDMA project aiming to synthesise multiple cohort studies to investigate the (unadjusted or adjusted) effects of potential prognostic factors for a binary outcome. We consider both binary and continuous factors and provide a three-step approach to estimating the power in advance of collecting IPD, under an assumption of the true prognostic effect of each factor of interest. The first step uses routinely available (published) aggregate data for each study to approximate Fisher's information matrix and thereby estimate the anticipated variance of the unadjusted prognostic factor effect in each study. These variances are then used in step 2 to estimate the anticipated variance of the summary prognostic effect from the IPDMA. Finally, step 3 uses this variance to estimate the corresponding IPDMA power, based on a two-sided Wald test and the assumed true effect. Extensions are provided to adjust the power calculation for the presence of additional covariates correlated with the prognostic factor of interest (by using a variance inflation factor) and to allow for between-study heterogeneity in prognostic effects. An example is provided for illustration, and Stata code is supplied to enable researchers to implement the method.

Identifying Predictors of Heart Failure Readmission in Patients From a Statutory Health Insurance Database: Retrospective Machine Learning Study.

BACKGROUND: Patients with heart failure (HF) are the most commonly readmitted group of adult patients in Germany. Most patients with HF are readmitted for noncardiovascular reasons. Understanding the relevance of HF management outside the hospital setting is critical to understanding HF and factors that lead to readmission. Application of machine learning (ML) on data from statutory health insurance (SHI) allows the evaluation of large longitudinal data sets representative of the general population to support clinical decision-making. OBJECTIVE: This study aims to evaluate the ability of ML methods to predict 1-year all-cause and HF-specific readmission after initial HF-related admission of patients with HF in outpatient SHI data and identify important predictors. METHODS: We identified individuals with HF using outpatient data from 2012 to 2018 from the AOK Baden-Württemberg SHI in Germany. We then trained and applied regression and ML algorithms to predict the first all-cause and HF-specific readmission in the year after the first admission for HF. We fitted a random forest, an elastic net, a stepwise regression, and a logistic regression to predict readmission by using diagnosis codes, drug exposures, demographics (age, sex, nationality, and type of coverage within SHI), degree of rurality for residence, and participation in disease management programs for common chronic conditions (diabetes mellitus type 1 and 2, breast cancer, chronic obstructive pulmonary disease, and coronary heart disease). We then evaluated the predictors of HF readmission according to their importance and direction to predict readmission. RESULTS: Our final data set consisted of 97,529 individuals with HF, and 78,044 (80%) were readmitted within the observation period. Of the tested modeling approaches, the random forest approach best predicted 1-year all-cause and HF-specific readmission with a C-statistic of 0.68 and 0.69, respectively. Important predictors for 1-year all-cause readmission included prescription of pantoprazole, chronic obstructive pulmonary disease, atherosclerosis, sex, rurality, and participation in disease management programs for type 2 diabetes mellitus and coronary heart disease. Relevant features for HF-specific readmission included a large number of canonical HF comorbidities. CONCLUSIONS: While many of the predictors we identified were known to be relevant comorbidities for HF, we also uncovered several novel associations. Disease management programs have widely been shown to be effective at managing chronic disease; however, our results indicate that in the short term they may be useful for targeting patients with HF with comorbidity at increased risk of readmission. Our results also show that living in a more rural location increases the risk of readmission. Overall, factors beyond comorbid disease were relevant for risk of HF readmission. This finding may impact how outpatient physicians identify and monitor patients at risk of HF readmission.

Broad learning system based on maximum multi-kernel correntropy criterion.

The broad learning system (BLS) is an effective machine learning model that exhibits excellent feature extraction ability and fast training speed. However, the traditional BLS is derived from the minimum mean square error (MMSE) criterion, which is highly sensitive to non-Gaussian noise. In order to enhance the robustness of BLS, this paper reconstructs the objective function of BLS based on the maximum multi-kernel correntropy criterion (MMKCC), and obtains a new robust variant of BLS (MKC-BLS). For the multitude of parameters involved in MMKCC, an effective parameter optimization method is presented. The fixed-point iteration method is employed to further optimize the model, and a reliable convergence proof is provided. In comparison to the existing robust variants of BLS, MKC-BLS exhibits superior performance in the non-Gaussian noise environment, particularly in the multi-modal noise environment. Experiments on multiple public datasets and real application validate the efficacy of the proposed method.

Schizosaccharomyces pombe as a predictor toxicity tool.

The fission yeast Schizosaccharomyces pombe is frequently used as a genetically manipulable model system, offering valuable understandings into cellular mechanisms. In the present study, a comprehensive step-by-step methodology for the research of the action mechanisms and detoxification by efflux pumps is showed. The protocol involves the thawing and culture of yeast cells in liquid medium under controlled conditions to ensure exponential growth. After that, a dose-response assessment is carried out by culturing wild-type cells in liquid medium, followed by exposure to increasing concentrations of the toxic substances. Optical density measurements are taken spectrophotometrically after exposure, and the process is repeated at least three times for quantitative analysis. Subsequently, defective mutants are selected to explore specific mechanisms of action or detoxification by efflux pumps, with cultures prepared and treated similarly to the wild type. Optical density measurements are again taken after exposure for quantitative analysis. This methodology ensures robust and reproducible results for the research toxic substances effects on S. pombe.-Schizosaccharomyces pombe is an adequate tool to evaluate contaminants toxicity.-Dose-responses curves are obtained on wild type to evaluate toxicity mechanisms.-This methodology ensures robust and reproducible results for the research toxic substances effects on S. pombe.

Genomic Biomarkers to Predict Response to Atezolizumab Plus Bevacizumab Immunotherapy in Hepatocellular Carcinoma: Insights from the IMbrave150 Trial.

Introduction: Combination immunotherapy, exemplified by atezolizumab plus bevacizumab, has become the standard of care for inoperable hepatocellular carcinoma (HCC). However, the lack of predictive biomarkers and limited understanding of response mechanisms remain a challenge. Methods: Using data from the IMbrave150plus cohort, we applied an immune signature score (ISS) predictor to stratify HCC patients treated with atezolizumab plus bevacizumab or with sorafenib alone into potential high and low response groups. By applying multiple statistical approaches including a Bayesian covariate prediction algorithm, we refined the signature to 10 key genes (ISS10) for clinical use while maintaining similar predictive power to the full model. We further validated ISS10 in an independent HCC cohort treated with nivolumab plus ipilimumab. Results: The study identified a significant association between the ISS and treatment response. Among patients classified as high responders, those treated with the atezolizumab plus bevacizumab combination exhibited improved overall and progression-free survival as well as better objective response rate compared to those treated with sorafenib. We also observed a significant correlation between ISS10 and response to nivolumab plus ipilimumab treatment. Analysis of immune cell subpopulations revealed distinct characteristics associated with ISS subtypes. In particular, the ISS10 high subtype displayed a more favorable immune environment with higher proportions of anti-tumor macrophages and activated T-cells, potentially explaining its better response. Conclusions: Our study suggests that ISS and ISS10 are promising predictive biomarkers for enhanced therapeutic outcomes in HCC patients undergoing combination immunotherapy. These markers are crucial for refining patient stratification and personalized treatment approaches to advance the effectiveness of standard-of-care regimens.

Predicting cerebral infarction in tuberculous meningitis and its prognostic significance.

Aim: Tuberculous meningitis (TBM) often causes cerebral infarction, but its predictive factors are not well understood. Methods: Patients aged ≥13 years admitted with TBM were enrolled prospectively. Cerebral infarction was diagnosed using magnetic resonance imaging. Results: Of 186 patients, 80 (43%) had infarction. Most infarctions were multiple and located in the cortical areas, basal ganglia and subcortical regions. Independent predictors of infarction at admission included high blood pressure, short illness duration, low Glasgow coma scale and hydrocephalus. Neuroimaging inflammation signs, cerebrospinal fluid analysis abnormalities and pre-existing cardiovascular risks did not predict infarction. In-hospital mortality was higher in TBM with infarction, particularly in those with advanced TBM (stage 3). Conclusion: Baseline parameters of raised intracranial pressure predict cerebral infarction in TBM.

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Current Status of Ovarian and Endometrial Biomarkers in Predicting ART Outcomes.

This review evaluates the role of ovarian and endometrial biomarkers in predicting outcomes in assisted reproductive technology (ART). It highlights established ovarian biomarkers such as the anti-Müllerian hormone (AMH) and follicle-stimulating hormone (FSH), alongside emerging ones like growth differentiation factor 9 (GDF9), bone morphogenetic protein 15 (BMP15), connexin, and granulosa cell gene profiles. Additionally, the paper explores endometrial biomarkers such as ERA, BCL6, and immune markers, as well as the potential for genomic and proteomic technologies in customizing implantation. It concludes that while many of these biomarkers show promise, their clinical integration requires rigorous research and validation to confirm their safety and utility in ART.

Triglyceride-glucose index as a potential predictor of major adverse cardiovascular and cerebrovascular events in patients with coronary heart disease complicated with depression.

Background: Triglyceride-glucose (TyG) index is a surrogate marker of insulin resistance and metabolic abnormalities, which is closely related to the prognosis of a variety of diseases. Patients with both CHD and depression have a higher risk of major adverse cardiovascular and cerebrovascular events (MACCE) and worse outcome. TyG index may be able to predict the adverse prognosis of this special population. Methods: The retrospective cohort study involved 596 patients with both CHD and depression between June 2013 and December 2023. The primary outcome endpoint was the occurrence of MACCE, including all-cause death, stroke, MI and emergent coronary revascularization. The receiver operating characteristic (ROC) curve, Cox regression analysis, Kaplan-Meier survival analysis, and restricted cubic spline (RCS) analysis were used to assess the correlation between TyG index and MACCE risk of in patients with CHD complicated with depression. Results: With a median follow-up of 31 (15-62) months, MACCE occurred in 281(47.15%) patients. The area under the ROC curve of TyG index predicting the risk of MACCE was 0.765(0.726-0.804) (P<0.01). Patients in the high TyG index group(69.73%) had a significantly higher risk of developing MACCE than those in the low TyG index group(23.63%) (P<0.01). The multifactorial RCS model showed a nonlinear correlation (nonlinear P<0.01, overall P<0.01), with a critical value of 8.80 for the TyG index to predict the occurrence of MACCE. The TyG index was able to further improve the predictive accuracy of MACCE. Conclusions: TyG index is a potential predictor of the risk of MACCE in patients with CHD complicated with depression.