Univariate Analysis Research Articles

Factors Influencing Outcome After Shoulder Arthroplasty (FINOSA Study): Protocol of a Prospective Longitudinal Study With Randomized Group Allocation

Background There is an increasing need for evidence-based postoperative rehabilitation strategies to optimize patient outcome. Knowledge of potential prognostic factors could steer the development of rehabilitation protocols and could result in better treatment outcomes and higher patient satisfaction. Objective This study aimed to investigate which potential prognostic factors predict baseline shoulder pain and function and its evolution in the first 2 years following surgery, in patients with total shoulder arthroplasty. The secondary objective is to investigate which potential prognostic factors predict baseline quality of life and its evolution in the first two years following surgery. Methods To reach the aims of this project, a prospective longitudinal study, running from January 2020 to March 2025, will be carried out with a follow-up of 48 months. Patients will be randomized based on sling wear. We will study factors such as shoulder function, patient expectations, psychosocial factors, lifestyle factors, sling wear, soft tissue integrity, and physiotherapy treatment. Test moments will take place preoperatively, at 6 weeks, 12 weeks, 6 months, 12 months, and 24 months. Descriptive statistics will be used to describe the patient population characteristics. Based on literature review, expert opinion, and univariate analyses, potential prognostic factors will be chosen as covariates. A mixed regression model for repeated measures will be used to assess both the evolution of the Shoulder Pain and Disability Index within persons from baseline over time and the differences in evolution between participants. Correlation analyses will be used to investigate associations between the other outcome measures such as the Constant and Murley Score, shoulder range of motion, shoulder muscle strength, and proprioception, and the primary outcome measure, the Shoulder Pain and Disability Index score. Potential prognostic factors not included in the model will be presented in a descriptive manner. Results Data collection started in January 2020. In April 2023 the sample size was reached. Data collection will end in April 2025. Analyses will follow when data collection is completed. Conclusions Knowledge of potential prognostic factors will have implications toward better rehabilitation strategies of patients after total shoulder arthroplasty. Trial Registration ClinicalTrials.gov NCT04258267; https://clinicaltrials.gov/study/NCT04258267 International Registered Report Identifier (IRRID) DERR1-10.2196/56522

Ambulatory management of acute uncomplicated diverticulitis (AmbUDiv study): a multicentre, propensity score matching study

Abstract Introduction Recent studies have suggested that ambulatory management is feasible for acute uncomplicated diverticulitis (AUD); however, there is still no consensus regarding the most appropriate management settings. This study presents a multi-centre experience of managing patients presenting with AUD, specifically focusing on clinical outcomes and comparing ambulatory treatment with in-patient management. Methods A retrospective multi-centre study was conducted across four hospitals in the UK and included all adult patients with computed tomography (CT) confirmed (Hinchey grade 1a) acute diverticulitis over a 12-month period (January – December 2022). Patient medical records were followed up for 1-year post-index episode, and outcomes were compared between those treated through the ambulatory pathway versus inpatient treatment using 1:1 propensity score matching (PSM). All statistical analysis was performed using the R Foundation for Statistical Computing, version 4.4. Results A total of 348 patients with Hinchey 1a acute diverticulitis were included (260 in-patients; 88 ambulatory pathway), of which nearly a third (31.3%) had a recurrent disease. Inpatient management was dominant (74.7%), with a median of 3 days of hospital stay. PSM resulted in 172 patients equally divided between the two care settings. Ambulatory management was associated with a lower readmission rate (P = 0.02 before PSM, P = 0.08 after PSM), comparable surgical (P = 0.57 before PSM, 0% in both groups after PSM) and radiological interventions (P = 0.99 before and after PSM) within one year. In both matched and non-matched groups, a strong association between readmissions and inpatient management was noted in univariate analysis (P = 0.03 before PSM, P = 0.04 after PSM) and multivariate analysis (P = 0.02 before PSM, P = 0.03 after PSM). Conclusion Our study supports the safety and efficacy of managing patients with AUD through a well-designed ambulatory care pathway. In particular, hospital re-admission rates are lower and other outcomes are non-inferior to in-patient treatment. This has implications for substantial cost-savings and better utilisation of limited healthcare resources.

Demographic, Disease, and Treatment Characteristics of Primary Tracheal Cancers

Abstract Background Primary tracheal cancers (PTCs) are rare neoplasms underreported in the literature. No consensus guidelines exist for the treatment of these cancers and multimodal management of these cancers has not been adequately explored for cases diagnosed over the past 2 decades. Methods The Surveillance, Epidemiology, and End Results (SEER) database was queried to identify patients with PTC. Cox proportional hazards and log-rank testing was used to assess the association between demographic and treatment variables and 5-year cause-specific survival (CSS). Results Among the 689 identified patients, age < 65 years at diagnosis (hazard ratio [HR] 0.64, p < 0.001), non-squamous cell carcinoma (SCC) histology (HR 0.22, p < 0.001), and treatment with surgery (HR 0.43, p < 0.001) were all associated with increased 5-year CSS. Regarding disease histology, patients with adenoid cystic carcinomas (ACCs) had increased 5-year CSS compared with those with neither SCC nor ACC histology and those with SCC histology (83.4% [76.0%, 90.8%] versus 50.3% [42.5%, 58.1%] and 28.8% [23.2%, 34.4%]; p < 0.001) based on univariate analysis. Despite the improved CSS associated with surgery, 55% of the identified cohort did not undergo surgery, with only 5.5% of these patients having ACC compared with 58% having SCC (p < 0.001). Conclusions Age < 65 years, ACC histology, and treatment with surgery were associated with improved 5-year CSS among patients with PTC, although the significant proportion of this group not receiving surgery represents an opportunity for improved outcomes.

Survivorship care plans and adherence to breast and cervical cancer screening guidelines among cancer survivors in a national sample

Abstract Purpose The impact of the components of survivorship care plans on adherence to cancer screening guidelines among cancer survivors is limited. We examined the association of receipt of treatment summaries, follow-up instructions, and type of doctor providing survivorship care with adherence to breast cancer screening (BCS) and cervical cancer screening (CCS) guidelines in female cancer survivors. Methods A cross-sectional analysis using Behavioral Risk Factor Surveillance System (BRFSS) data from 2014, 2016 and 2018 was conducted. BCS and CCS-eligible women were aged 40–74 and 30–64, respectively. BCS adherence was defined as a mammogram within 2 years and CCS adherence as a pap smear within 3 years or HPV test within 5 years. Univariate analysis with chi-square and multivariable logistic regression are reported. Results 5,001 BCS and 3,014 CCS-eligible survivors were identified. In the BCS group, recipients of treatment summaries and follow-up instructions were significantly more adherent with BCS (84.1% vs. 77.4%; 83.4% vs. 74%, respectively, p < 0.001). In the CCS group, recipients of follow-up instructions were significantly more adherent with CCS (78.1% vs. 67.7%, p < 0.001). In both groups, there was no significant difference in BCS or CCS based on type of physician providing care (p = 0.087). On multivariate analysis, receipt of follow-up instructions was the only factor significantly associated with BCS (OR:2.81; 95%CI:1.76–4.49) and CCS (OR:3.14; 95%CI:1.88–5.23). Conclusions Follow-up instructions, as part of survivorship care plans, have the strongest association with BCS and CCS among female cancer survivors. Additional research should focus on improving the distribution of survivorship care plans, particularly follow-up instructions, as a method to increase BCS and CCS among cancer survivors.

Prevalence and influencing factors with knowledge, attitude, and practice toward anemia among school-going adolescent girls in rural Bangladesh

Background Anemia is a major public health concern; however, research on anemia and its contributing variables is scarce. To address the gap, we investigated the prevalence and associated factors of anemia in school-aged adolescent girls in rural Bangladesh. Methods We conducted a cross-sectional study in two secondary schools at Chandpur, Bangladesh, from January to April 2022. We randomly selected 422 adolescent girls based on prevalence rates from existing research to ensure reliable estimates and a robust study representation. We performed interviews with a semi-structured questionnaire after receiving ethical permission and written informed consent. In addition, physical examination and anthropometric measurements were done, followed by blood testing to identify anemia. Blood hemoglobin was measured using a spectrophotometric method, and quality control was ensured by validated results with control samples. Univariate with multiple logistic regression was employed for analysis to find the association between anemia and all other variables that were adjusted to control the potential effect of confounding variables. Results The overall prevalence of anemia was 37.7% (mild- 33.8% and moderate- 3.9%). In the univariate analysis having a working mother (OR 3.84; 95% CI 1.31–11.26), undernutrition (OR 2.40; 95% CI 1.27–4.52), and irregular lunch consumption (OR 2.15; 95% CI 1.00–4.60) were associated with anemia. Conversely, being a user of a slab latrine (OR 0.61; 95% CI 0.40–0.93) and not weekly consumption of pure milk (OR 0.62; 95% CI 0.41–0.92) were negatively associated with anemia. In multivariate logistic regression analysis, associated factors for prevalent anemia were working mother [adjusted odds ratio (aOR) 7.65; 95% CI 1.97–29.50], slab latrine user (aOR 0.46; 95% CI 0.26–0.79), and irregular lunch consumption (aOR 2.92; 95% CI 1.21–7.03). Conclusion The prevalence of anemia among adolescent girls in rural Bangladesh remains high with undernutrition. Anemia is associated with working mothers, slab latrine users, and irregular lunch consumers within the studied population.’ Thus, policymakers may promote school-based nutritional education and lunch programs with iron supplementation and improve sanitary facilities.

Chronic systemic inflammation predicts long-term mortality among patients with fatty liver disease: Data from the National Health and Nutrition Examination Survey 2007–2018

Background Low-grade systemic inflammation (SI) in patients with fatty liver disease (FLD) is an important hallmark of disease onset and progression. This study aims to evaluate the prognostic significance of novel SI markers in FLD. Methods This was a retrospective cohort study. We included adult patients with FLD with complete data and analyzed the association between chronic SI and long-term mortality in patients with FLD. Systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), and systemic inflammation response index (SIRI) were evaluated based on peripheral blood counts and FLD was determined by the Fatty Liver Index. Results A total of 5497 patients with FLD were included in the final analysis. SII and PIV (but not SIRI) were found to be associated with all-cause and cardiovascular mortality in univariate analysis. Multivariate Cox regression analysis and KM analysis demonstrated that SII and PIV were associated with all-cause mortality, with SII showing a nonlinear correlation in RCS. PIV (but not SII) was associated with the cardiovascular-related survival probability over time. Stratified analysis indicated that the positive correlation between SII and PIV and all-cause mortality was not altered by subgroups. Conclusions SII and PIV are strongly and consistently associated with all-cause mortality in patients with FLD, with PIV potentially showing a closer association with cardiovascular mortality.

Socioeconomic inequalities in high-risk fertility behaviour among Nigerian women: A non-experimental population-based study

Background High-risk fertility behaviour (HRFB) has adverse health, social and economic effects on women. An understanding of socioeconomic inequalities is needed to design effective interventions targeted to lower maternal morbidity and mortality due to HRFB. Objectives The objective was to quantify socioeconomic inequalities in HRFB among Nigerian women. Design This was a cross-section study that used population-based data. Methods A sample of 21,792 Nigerian women aged 15–49 years from the 2018 Nigeria Demographic Health Survey was analyzed. Percentage was employed in univariate analysis. In addition, concentration index was used to assess the extent of inequalities in HRFB. This was further decomposed to ascertain the explanatory components’ relative contributions to the socioeconomic inequalities in HRFB. Results The weighted prevalence of HRFB (63.5%; 95% CI: 62.6–64.4%), included <18 years at childbirth (4.9%; 95% CI:4.5–5.3%), >34 years at childbirth (18.3%; 95% CI: 17.6–19.0%), >3 children birth order (49.6%; 95% CI: 48.7–50.5%) and <24 months at preceding birth interval (17.0% 95% CI: 16.3–17.6%) were estimated. Education (Contri: 50.3997%, Ec: 0.2771), wealth (Contri: 27.2811%, Ec: 0.2665), socioeconomic disadvantaged (Contri: 14.9163%, Ec: -0.0996), religion (Contri: 13.8636%, Ec: -0.0496), region (Contri: 11.1724%, Ec: 0.0711), partner education (Contri: 7.1351%, Ec: 0.2138), media use (Contri: 4.5064%, Ec: 0.1449) and family motility (Contri: 3.7890%, Ec: -0.0281) were positive contributors to HRFBs among Nigerian women. However, age (Contri: -14.6237, Ec: 0.0089) and history of contraceptive use (Contri: -8.7723, Ec: -0.2094) were negative contributors to HRFBs among women of reproductive age in Nigeria. Conclusion Women who have low socioeconomic level reported higher prevalence of HRFB. Targeted interventions are required to lower HRFB among Nigerian women from poor households and with no formal education. Women should get counselling and assistance from healthcare and educational institutions to help them adopt healthy sexual and reproductive practices.

Real-World Switch Rates of Risankizumab and Other Biologics in Psoriasis Patients With Psoriatic Arthritis

Background: Psoriatic patients often experience issues with lack of therapeutic efficacy and intolerance, which may result in high levels of treatment switching. This study examined real-world, 12-month switch rates and patient characteristics associated with treatment switching in patients with both PsO and PsA treated with risankizumab and other biologics. Methods: This analysis used the Merative MarketScan® Databases (2016–2024) to identify adults from the US who had ≥2 medical claims for PsO, 1 claim for PsA and did not have any other autoimmune condition in the 6 months pre- and post-index period. Patients must have initiated a PsO-approved biologic and have continuous insurance benefits for ≥6 months before and ≥12 months after the biologic initiation date. Switch rates were defined as the proportion of patients who switched to a new biologic or advanced oral in the 12-month follow-up after treatment initiation. Discontinuation and non-adherence were not included in the switch definition. Switch rates were compared between biologics with sufficient sample size (n 100). Univariate logistic regression analyses were conducted to compare switch rates for risankizumab versus other biologics. Multivariate logistic regression analyses were performed to examine the impact of baseline demographic and treatment characteristics on switch rates and determine predictors of switching. Results: Among 3032 patients, mean age at baseline was 47.4 (SD 10.78) years and 55.4% were female. Overall treatment switch rate at 12-month follow-up was 24.9% (756/3032). Of those treatments with sufficient sample size, patients receiving risankizumab had the lowest switch rate (7.3%; 15/206) compared to all other biologics, including other IL-23 inhibitors (guselkumab 16.7%, P=0.0029), IL-17 inhibitors (ixekizumab 22.4%, P<0.0001; secukinumab 23.7%, P<0.0001), TNF inhibitors (adalimumab 28.3%, P<0.0001; etanercept 35.8%, P<0.0001), and IL-12/23 inhibitors (ustekinumab 22.4%, P<0.0001). Results were similar in multivariate logistic regression analyses after adjusting for variations in baseline characteristics. Predictors of switching at 12 months included female sex (adjusted odds ratio [aOR] [95% CI]: 1.63 [1.36, 1.94]; P<0.0001), baseline anxiety or depression (aOR [95% CI]: 1.47 [1.21, 1.80]; P=0.0001), baseline major adverse cardiovascular event (aOR [95% CI]: 1.47 [1.15, 1.88]; P=0.0023), and prior targeted immunomodulator (TIM) use (aOR [95% CI]: 1.45 [1.20, 1.74]; P=0.0001). Conclusion: In a real-world setting, switching was common among psoriasis patients with PsA. Risankizumab showed the lowest rate of treatment switching at 12 months, compared with all other biologics. Sex, comorbidities, and prior TIM use were predictors of higher switch rates.

Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study

Background Social media has become a vital tool for health care providers to quickly share information. However, its lack of content curation and expertise poses risks of misinformation and premature dissemination of unvalidated data, potentially leading to widespread harmful effects due to the rapid and large-scale spread of incorrect information. Objective We aim to determine whether social media had an undue association with the prescribing behavior of hydroxychloroquine, using the COVID-19 pandemic as the setting. Methods In this retrospective study, we gathered the use of hydroxychloroquine in 48 hospitals in the United States between January and December 2020. Social media data from X/Twitter was collected using Brandwatch, a commercial aggregator with access to X/Twitter’s data, and focused on mentions of “hydroxychloroquine” and “Plaquenil.” Tweets were categorized by sentiment (positive, negative, or neutral) using Brandwatch’s sentiment analysis tool, with results classified by date. Hydroxychloroquine prescription data from the National COVID Cohort Collaborative for 2020 was used. Granger causality and linear regression models were used to examine relationships between X/Twitter mentions and prescription trends, using optimum time lags determined via vector auto-regression. Results A total of 581,748 patients with confirmed COVID-19 were identified. The median daily number of positive COVID-19 cases was 1318.5 (IQR 1005.75-1940.3). Before the first confirmed COVID-19 case, hydroxychloroquine was prescribed at a median rate of 559 (IQR 339.25-728.25) new prescriptions per day. A day-of-the-week effect was noted in both prescriptions and case counts. During the pandemic in 2020, hydroxychloroquine prescriptions increased significantly, with a median of 685.5 (IQR 459.75-897.25) per day, representing a 22.6% rise from baseline. The peak occurred on April 2, 2020, with 3411 prescriptions, a 397.6% increase. Hydroxychloroquine mentions on X/Twitter peaked at 254,770 per day on April 5, 2020, compared to a baseline of 9124 mentions per day before January 21, 2020. During this study’s period, 3,823,595 total tweets were recorded, with 10.09% (n=386,115) positive, 37.87% (n=1,448,030) negative, and 52.03% (n=1,989,450) neutral sentiments. A 1-day lag was identified as the optimal time for causal association between tweets and hydroxychloroquine prescriptions. Univariate analysis showed significant associations across all sentiment types, with the largest impact from positive tweets. Multivariate analysis revealed only neutral and negative tweets significantly affected next-day prescription rates. Conclusions During the first year of the COVID-19 pandemic, there was a significant association between X/Twitter mentions and the number of prescriptions of hydroxychloroquine. This study showed that X/Twitter has an association with the prescribing behavior of hydroxychloroquine. Clinicians need to be vigilant about their potential unconscious exposure to social media as a source of medical knowledge, and health systems and organizations need to be more diligent in identifying expertise, source, and quality of evidence when shared on social media platforms.

Development of Imaging Complexity Biomarkers for Prediction of Symptomatic Radiation Pneumonitis in Patients with Non-Small Cell Lung Cancer, Focusing on Underlying Lung Disease

Objectives: We aimed to develop imaging biomarkers to predict radiation pneumonitis (RP) in non-small cell lung cancer (NSCLC) patients undergoing thoracic radiotherapy. We hypothesized that measuring morphometric complexity in the lung using simulation computed tomography may provide objective imaging biomarkers for lung parenchyma integrity, potentially forecasting the risk of RP. Materials and Methods: A retrospective study was performed on medical records of 175 patients diagnosed with NSCLC who had received thoracic radiotherapy. Three indices were utilized to measure the morphometric complexity of the lung parenchyma: box-counting fractal dimension, lacunarity, and minimum spanning tree (MST) fractal dimension. Patients were dichotomized into two groups at median values. Cox proportional hazard models were constructed to estimate the hazard ratios for grade ≥ 2 or grade ≥ 3 RP. Results and Conclusions: We found significant associations between lung parenchymal morphometric complexity and RP incidence. In univariate Cox-proportional hazard analysis, patients with a lower MST fractal dimension had a significantly higher hazard ratio of 2.296 (95% CI: 1.348–3.910) for grade ≥ 2 RP. When adjusted for age, sex, smoking status, category of the underlying lung disease, category of radiotherapy technique, clinical stage, histology, and DLCO, patients with a lower MST fractal dimension showed a significantly higher hazard ratio of 3.292 (95% CI: 1.722–6.294) for grade ≥ 2 RP and 7.952 (95% CI: 1.722 36.733) for grade ≥ 3 RP than those with a higher MST fractal dimension. Patients with lower lacunarity exhibited a significantly lower hazard ratio of 0.091 (95% CI: 0.015–0.573) for grade ≥ 3 RP in the adjusted model. We speculated that the lung tissue integrity is captured by morphometric complexity measures, particularly by the MST fractal dimension. We suggest the MST fractal dimension as an imaging biomarker for predicting the occurrence of symptomatic RP after thoracic radiotherapy.

Clinical features and risk factors of Klebsiella pneumoniae infection in premature infants: a retrospective cohort study.

With the continuous advancement of modern medical technology, the survival rate of premature infants has significantly increased. Klebsiella pneumoniae (K. pneumoniae) is one of the most common pathogens causing neonatal infections, particularly posing a serious risk to premature infants. This study aimed to analyze the clinical characteristics, antibiotic susceptibility profiles, and treatment outcomes of K. pneumoniae infections in these infants. We retrospectively compared cases of K. pneumoniae infection in premature and term infants admitted in a tertiary hospital from January 2017 to December 2022 in China. Clinical and microbiological characteristics were evaluated. Data analysis was performed using the Statistical Package for the Social Sciences (SPSS), with statistical significance defined as P < 0.05. We enrolled 166 premature infants and 68 term infants. In premature infants, fetal distress, patent ductus arteriosus, patent foramen ovale, enteritis, anemia, hypoproteinemia, bloodstream infections, abdominal infection, mechanical ventilation, nasogastric feeding, drainage tube, parenteral nutrition, and prior exposure to carbapenem antibiotics were identified as significant risk factors for K. pneumoniae infections in univariate analysis. Furthermore, septic shock, bloodstream infections, abdominal infections, indwelling catheters, drainage tubes, parenteral nutrition, and previous exposure to glycopeptide antibiotics were significantly correlated with mortality. Independent risk factors for K. pneumoniae infections in premature infants included fetal distress (OR: 3.702, [95% CI: 1.056-12.986], P = 0.041), enteritis (OR: 4.434, [95% CI: 1.066-18.451], P = 0.041), anemia (OR: 4.028, [95% CI: 1.550-10.466], P = 0.004), bloodstream infections (OR: 1.221, [95% CI: 0.061-1.802], P = 0.022), mechanical ventilation (OR: 4.974, [95% CI: 1.685-14.685], P = 0.004) and prior exposure to carbapenem antibiotic (OR: 14.738, [95% CI: 2.393-90.767], P = 0.004). Additionally, abdominal infections (OR: 8.598, [95% CI: 2.000-36.957], P = 0.004) and indwelling catheters (OR: 7.698, [95% CI: 0.998-59.370], P = 0.050) were positive predictors of mortality. K. pneumoniae isolates exhibit a notable prevalence of infection, poor treatment outcomes, and elevated resistance in preterm neonates. These findings enhance our understanding of K. pneumoniae infections and their association with clinical outcomes among premature infants.

Risk factors of the low anterior resection syndrome (LARS) after ileostomy reversal in rectal cancer patient.

This study is aimed at identifying risk factors of Low Anterior Resection Syndrome following ileostomy reversal in rectal cancer patients who had undergone preventive ileostomy. This retrospective analysis was conducted on a cohort of 605 patients treated at the Fourth Hospital of Hebei Medical University between January 2018 and December 2021. These patients were grouped based on LARS score, and Clinical and follow-up data were collected to conduct univariate analyses of potential factors influencing LARS occurrence based on variable type. Variables with statistical significance were included in a logistic regression model to analyze potential influences on the occurrence of LARS. Univariate and Multivariate logistic regression analysis showed that N2 stage (OR = 2.290 95%CI: 1.076-4.873, P = 0.031), chemoradiotherapy (OR = 2.271, 95%CI: 1.246-4.138, P = 0.007), and anastomosis height (OR = 0.836, 95%CI: 0.717-0.975, P = 0.022) were independent influences on the occurrence of LARS. In model 3 (adjusting for all covariates), the relationship between anastomotic height and patient LARS status showed a negative correlation. In subgroup analyses, there were significant differences in the effect of anastomotic height on LARS in subgroups with different hemoglobin concentrations. A high occurrence rate of LARS is observed in rectal cancer patients with preventive ileostomy reversal. N2 stage, history of chemoradiotherapy, and anastomotic height are independent influence factors for the occurrence of major LARS after ileostomy reversal.

A large single-center propensity score-matched cohort study on outcomes and complications based on the number of corrective bars used in the Nuss procedure.

The Nuss procedure is the most common corrective surgery for pectus excavatum. We analyzed treatment outcomes and complication rates in 1238 patients treated with the Nuss procedure from 2002 to 2021, focusing on the number of corrective bars used. Using Propensity Score Matching based on age, sex, BMI, pre-operative FEV1, and the Haller index, we created two groups: 546 patients with a single bar and 546 with two bars. Both groups achieved similar correction effects (Haller index: single bar = 2.58 vs. two bars = 2.56; p = 0.65). In the univariate analysis, in the two-bar group, the postoperative complications were observed more often (28.6% vs. 15.4%, p < 0.001), including pneumothorax (11.2% vs. 6.2%, p < 0.001), hemothorax (3.7% vs. 0.7%, p < 0.001), additional drainage (13.7% vs. 5.3%, p < 0.001), the need for thoracentesis (8.6% vs. 2.9%, p < 0.001), bar displacement (3.8% vs. 0.7%, p < 0.001), pleural effusion (10.6% vs. 3.1%, p < 0.001), and fever (6.6% vs. 3.8%, p < 0.041). In the logistic regression, two bars significantly increased the risk of postoperative complications (p = 0.019), including hematoma (p = 0.036), pleural effusion (p = 0.002), and the need for thoracentesis (p = 0.013). Using two corrective bars during the Nuss procedure is associated with a higher rate of postoperative complications but similar corrective results.

Innovative multi-trial breeding and genotype screening in triticale (x Triticosecale Wittmack) for enhanced stability under drought stress.

Triticale is a man-made crop produced by crossing wheat (Triticum aestivum) and rye (Secal cereal) with the aim of increasing the adaptability and potential production of its parental line (wheat) under environmental stresses and harsh conditions. Accordingly, the objectives of this study are as follow, a: compare different stability measurement methods regarding their suitability, b: identify most stable genotypes for cultivar release, and c: provide a freely available package in R programming language (named 'Stbidx') capable of exploiting all stability methods for similar studies. Accordingly, 30 triticale genotypes were evaluated for their stability and adaptability to changing environments during four consecutive years from 2016 to 2020 in different locations in Iran (one year in Zarghan, two years in Ghorveh, one year in Sanandaj) and under two different irrigation regimes (normal irrigation and water deficit stress conditions). All 30 triticale genotypes were cultivated in a randomized complete block design (RCBD) with three replications in each environment (12 environments: 6 trials in 2 conditions). Grain yield of triticale genotypes was measured and it applied to calculate all known stability indices (univariate methods) along with the meta-analysis models were evaluated in this study. Additionally, two novel techniques (Stability ID: SID and AMMI PC Value: APCV) were introduced and successfully tested for screening stable genotypes. These methods were introduced to improve and resolve the limitation of the previous stability methods. Meanwhile, heatmap analysis, as a proper data-mining technique, has been successfully applied for the first time to find stable genotypes in different environments in this study. The results clearly indicated a higher suitability of our introduced methods over previous multi-trials screening methods. Based on our methods and considering all environments, triticale genotypes ELTTCL21 (SID = 8.00; APCV = 28.12), ELTTCL25‌ (SID = 8.14; APCV = 30.02), ELTTCL30 (SID = 8.43; APCV = 17.00), ET-90-8 (SID = 14.00; APCV = 42.05), and Sanabad (SID = 10.57; APCV = 12.44) were among stable genotypes and they can be nominated as new cultivars. Additionally, for stress condition genotypes ELTTCL30 (stress: 380.6g/m2) and ELTTCL18 (stress: 360.79g/m2) and for normal condition genotypes ET-90-4 (normal: 849.4g/m2) and ELTTCL20 (normal:845g/m2) were respectively the most proper genotypes with the highest production to be considered for each condition separately.

Prognostic value of the cholesterol-dependent nutritional prognostic index in patients receiving adjuvant chemotherapy after radical esophageal cancer treatment.

Esophageal cancer is the 6th most common cancer in terms of incidence and the 4th most common cause of mortality in China. Given the limited survival outcomes observed in patients with locally advanced disease managed exclusively with surgical intervention, postoperative treatment is critically important. This study sought to assess the prognostic value of total cholesterol (TC) levels and the prognostic nutritional index (PNI) in patients undergoing postoperative chemotherapy for esophageal cancer. A total of 101 patients who underwent postoesophagectomy chemotherapy were included in this retrospective analysis. PNI values for prechemotherapy were calculated for each patient [PNI = albumin + 5 × lymphocyte count] and TC. The optimal cutoff values for these indices were calculated from the receiver operating characteristic (ROC) curve. Patients were stratified into three groups on the basis of their PNI and TC levels. A novel nutritional prognostic index, termed the cholesterol-dependent nutritional prognostic index (CPNI), was developed on the basis of the PNI and TC. Univariate and multivariate Cox analyses were employed to determine the associations between each indicator and clinical outcomes. The prechemotherapy PNI, TC level, and TNM stage became independent risk factors for OS (p < 0.05). Patients in the high PNI-high TC group had significantly improved DFS and OS compared with those in the low PNI-low TC group (p < 0.001) and had a lower early recurrence rate (P = 0.008). In contrast, patients with a high CPNI had a higher mortality rate. The prechemotherapy PNI combined with TC is an accurate and useful predictor of patient prognosis.

Association between D-dimer-to-albumin ratio and 28-days all-cause mortality in patients with sepsis.

We aimed to investigate the correlation between the serum D-dimer (D-D) to albumin (ALB) ratio (DAR) and 28-day all-cause mortality in patients with sepsis. Data from sepsis patients admitted to the intensive care unit (ICU) of Wuhan Fourth Hospital from October 2021 to January 2024 were collected. Univariate cox analysis was performed for mortality factors in sepsis patients, and multiple cox regression models were used to analyze independent mortality risk factors. The receiver operating characteristics (ROC) curve was used to analyze the value of DAR in predicting sepsis mortality, and the Kaplan-Meier method was used to plot the survival curve. A total of 833 patients with sepsis in the ICU of our hospital were selected and divided into alive group (n = 574) and death group (n = 171) according to their 28-day survival. In the death group, D-D and DAR levels were higher, while ALB levels was lower than in the alive group. Spearman analysis found that DAR level were positively correlated with APACHE II and SOFA scores. Multivariate cox regression analysis showed that DAR was an independent predictor of all-cause mortality within 28 days of admission for sepsis patients (HR = 17.956, 95% CI 3.435-93.851, p < 0.001). The ROC curve results showed that the cut-off value of DAR was 0.068, with a sensitivity of 78.4% and a Youden index of 0.375, predicting mortality in sepsis patients, with an area under curve (AUC) of 0.767 (95% CI 0.744-0.790, P < 0.001). Further analysis divided patients into low DAR (DAR < 0.068) and high DAR (DA ≥ 0.068) groups based on the optimal cut-off value. Kaplan-Meier analysis found higher mortality in the high DAR group. DAR is an independent predictor of all-cause mortality within 28 days of admission in sepsis patients. Combining these two indicators can improve clinical treatment guidance and reduce the risk of death.

A delphi-based model for prognosis of femoral head collapse in osteonecrosis: a multi-factorial approach.

Osteonecrosis of the femoral head (ONFH) is a progressive and debilitating condition characterized by the death of bone tissue due to inadequate blood supply. Despite advances in diagnostic imaging and treatment strategies, predicting the risk of femoral head collapse remains a significant clinical challenge. This study seeks to address this gap by developing a robust prognostic model that integrates clinical, imaging, and laboratory data to improve early diagnosis and guide therapeutic decision-making. We conducted a qualitative systematic review and employed the Delphi method to select key prognostic factors from clinical data, imaging findings, and laboratory indicators. The study included ONFH patients treated from January 2014 to December 2021. We used univariate and multivariate Cox regression analyses to develop a nomogram for predicting the risk of femoral head collapse. The model's performance was evaluated using the concordance index (C-index), calibration plots, and decision curve analysis (DCA). The study included 297 patients (454 hips) with ONFH. Key prognostic factors identified included pain presence (p < 0.001, RR = 0.185, 95% CI: 0.11-0.31), JIC classification (C1: p < 0.001, RR = 0.096, 95% CI: 0.054-0.171; C2: p < 0.001, RR = 0.323, 95% CI: 0.215-0.487), necrotic area (3 < MNAI < 6: p < 0.001, RR = 0.107, 95% CI: 0.061-0.190; MNAI ≥ 6: p < 0.001, RR = 0.466, 95% CI: 0.314-0.692), weight-bearing reduction (p < 0.001, RR = 0.466, 95% CI: 0.323-0.672), preservation of the anterolateral pillar (p < 0.001, RR = 0.223, 95% CI: 0.223-0.473), and subchondral bone fracture on CT (p < 0.001, RR = 0.32, 95% CI: 0.217-0.472). The nomogram demonstrated a high C-index of 0.88, indicating excellent predictive accuracy. Calibration plots showed good agreement between predicted and observed outcomes, and DCA confirmed the model's clinical utility. The prognostic model developed in this study provides a reliable tool for predicting femoral head collapse in ONFH patients. It allows for early identification of high-risk patients, guiding personalized treatment strategies to improve patient outcomes and reduce the need for invasive surgical procedures.

Prediction of Ki-67 expression and malignant potential in gastrointestinal stromal tumors: novel models based on CE-CT and serological indicators.

To identify more reliable imaging and serological indicators for predicting Ki-67 expression and malignant potential in gastrointestinal stromal tumors, as well as to develop a preoperative prediction model with clinical utility. This study retrospectively analyzed patients with gastrointestinal stromal tumors (GIST) diagnosed at the First Affiliated Hospital of Jinzhou Medical University between May 2018 and May 2024. Univariate logistic analyses, two-way stepwise regression, P-value stepwise regression, and LASSO regression were employed to screen for Ki-67 high expression and high malignant potential risk factors associated with GIST. Models were established using various regression methods; Nomograms, calibration curves, and clinical decision curves were generated for the two best prediction models. Two-way stepwise regression analysis revealed that diameter (P=0.037; OR=1.22; 95% CI: 1.01 - 1.46), growth pattern (extraluminal type: P=0.028; OR=3.54; 95% CI: 1.14 - 10.94), enhancement model (P=0.099; OR=0.39; 95% CI: 0.12 - 1.20), EVFDM (P=0.069; OR=0.43; 95% CI: 0.17 - 1.07), PLR (P=0.099; OR=3.06; 95% CI: 0.81 - 11.59), and OPNI (P=0.058; OR=2.38; 95% CI: 0.97 - 5.84) are identified as independent risk factors for Ki-67 expression. Utilizing the two-way stepwise regression model to predict Ki-67 expression, the area under the curve (AUC) for the training group was 0.865 (95% CI: 0.807-0.922), while for the validation group it was 0.784 (95% CI: 0.631-0.937). The Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) for the training group were 153.360 and 174.619, respectively. Two-way stepwise regression analysis revealed that volume (P < .001, OR = 1.06; 95% CI: 1.03 - 1.09), contour (P = 0.066; OR = 0.17; 95% CI: 0.05 - 0.62), ulcer (P = 0.094; OR = 0.16; 95% CI: 0.03 - 0.98), IBSC (P = 0.008; OR = 5.27; 95% CI: 1.57 - 17.69), and OPNI (P = 0.045; OR = 0.22; 95% CI: 0.05 - 0.96) are independent risk factors for malignant potential. Utilizing the two-way stepwise regression model to predict malignant potential, the AUC for the training group was 0.950 (95% CI: 0.920 - 0.980), while for the validation group it was 0.936 (95% CI: 0.867 - 1.000). The AIC and BIC values for the training group were 96.330 and 114.552, respectively. Diameter, growth pattern, enhancement pattern, EVFDM, PLR, and OPNI are independent risk factors for GIST with high Ki-67 expression. Additionally, volume, contour, ulceration, IBSC, and OPNI serve as independent risk factors for GIST with high malignant potential. The preoperative models developed using CT images can predict the malignant potential and Ki-67 expression status of GIST to a certain extent. When combined with serological indicators, these models' predictive performance can be further enhanced.

Development and validation of a predictive risk tool for VTE in women with breast cancer under chemotherapy: a cohort study in China.

The incidence of venous thromboembolism (VTE) is significantly elevated in breast cancer patients, with a three-to-fourfold increase, and further escalates to sixfold in those undergoing chemotherapy. This study aims to identify the risk factors for VTE and develop a Nomogram risk prediction model distinct from the traditional Khorana score. Univariate Cox regression analysis assessed the impact of each variable on the occurrence of VTE, while stepwise multivariate Cox regression analysis identified independent predictors. Based on these results, we constructed a Nomogram model. The model's performance was validated using the C-index, receiver-operating characteristic curve (ROC), calibration curves, and decision curve analysis (DCA). Comparisons were made with the Khorana score to evaluate the practical application value. Out of the 903 patients, 108 (11.96%) developed VTE. Cox regression analysis identified that Stage, undergoing surgery, age, white blood cells (WBC), D-dimer, and carcinoembryonic antigen (CEA) were significant risk factors for VTE (P < 0.05). The Nomogram model's C-index was 0.77 (95% CI 0.72-0.83) in the training set and 0.76 (95% CI 0.69-0.84) in the validation set. The model demonstrated excellent predictive accuracy and generalizability on the receiver-operating characteristic (ROC) curves and calibration curves. Compared to the traditional Khorana score, the Nomogram model showed superior predictive accuracy and greater clinical benefit. This study established a VTE risk prediction model for breast cancer patients undergoing chemotherapy. The model is characterized by its intuitive and straightforward application, making it highly suitable for rapid VTE risk assessment in clinical practice.

Analysis of positive predictors in diagnosing lung cancer on transthoracic and transbronchial procedure

Background: Lung cancer remains the most cause of death due to cancer. Due to high mortality rate of lung cancer, early diagnosis of lung cancer plays a very important role in therapeutic management. Clinical symptoms and tumor characteristics such as size and location are found to vary in lung cancer patients. Various modalities can be used to obtain materials or samples include transthoracic and transbronchial methods. Research was conducted to analyze positive predictors of cancer between transthoracic and transbronchial procedures in lung cancer patients. Methods: This research is an analytical observational study with a cross-sectional design in using secondary data through medical records from January 2022 to December 2023. Univariate analysis presents data in the form of frequency, mean and standard deviation. Bivariate analysis was carried out using chi-square and multivariate analysis using multiple logistic regression. The measure used as a predictor is the adjusted odds ratio. Inference or conclusion is based on the 95% confident interval and p value at the alpha value limit of 0.05. The entire data process above uses SPSS 26.0 statistical software Results: The total research subjects who met the research requirements were 111 patients. The characteristics of the research subjects were symptoms of cough (n=97; 87.4%), hemoptyisis (n=51; 45.9%), breathlessness (n=104; 93.7%) and chest pain (n=87; 78.4%), mostly peripheral tumor (n=70; 63.1%) and size &gt;3 cm (n=103; 92.8%). Logistic regression analysis showed cough symptoms and peripheral tumor location each had an adjOR value of 5.247 (95% CI 1.432-19.552; p=0.013) and adjOR 0.088 (95% CI 0.034-0.229; p=0.000) for lung cancer positivity on transbronchial procedure. On transthoracic procedure, cough symptoms and peripheral tumor location respectively had an adjOR value of 0.190 (95% CI 0.051-0.703; p=0.013) and adjOR 11.407 (95% CI 4.374-29.747; p=0.000) for lung cancer positivity. Conclusions: Cough is a positive predictor of lung cancer in transbronchial procedures. Meanwhile, peripheral tumor location is a positive predictor of lung cancer in transthoracic procedures.