Behind the Headset: Predictive Accuracy of Patient-Reported Outcome Measures for Voice Symptoms in Call Centers.

Objective: This study examines factors predicting self-reported voice symptoms in call center workers. Methods: Multivariate analysis and predictive modeling assess personal, work-related, acoustic, and behavioral factors. Generalized Linear Models (GLMs) and Receiver Operating Characteristic (ROC) curves are employed. Results: Age and sleep patterns impacted voice quality and effort, while workplace factors influenced symptom perception. Unhealthy vocal behaviors related to tense voice and increased effort, while hydration was protective. Voice acoustics showed diagnostic potential, supported by ROC data. These findings emphasize voice symptom complexity in call center professionals, necessitating comprehensive assessment. Limitations: This study recognizes its limitations, including a moderate-sized convenience sample and reliance on PROM metrics. Future research should incorporate more objective measures in addition to self-reports and acoustic analysis. Value: This research provides novel insights into the interplay of personal, occupational, and voice-related factors in developing voice symptoms among call center workers. Predictive modeling enhances risk assessment and understanding of individual susceptibility to voice disorders. Conclusion: Results show associations between various factors and self-reported voice symptoms. Protective factors include sleeping more than six hours and consistent hydration, whereas risk factors include working conditions, such as location and behaviors like smoking. Diagnostic models indicate good accuracy for some voice symptom PROMs, emphasizing the need for comprehensive models considering work factors, vocal behaviors, and acoustic parameters to understand voice issues complexity.

Objetivo: Este estudio examina los factores que predicen los síntomas de voz en los trabajadores de call centers. Métodos: Se utilizan análisis multivariados y modelos predictivos para evaluar factores personales, laborales, acústicos y de comportamiento. Se emplean Modelos Lineales Generalizados (GLM) y curvas ROC. Resultados: La edad y los patrones de sueño afectaron la calidad vocal y el esfuerzo, mientras que los factores laborales influyeron en la percepción de síntomas. Los comportamientos vocales no saludables se relacionaron con voz tensa y mayor esfuerzo, mientras que la hidratación fue protectora. Los parámetros acústicos de voz mostraron potencial diagnóstico respaldado por datos de ROC. Los hallazgos subrayan complejidad de síntomas vocales en profesionales de centros de llamadas, requiriendo una evaluación integral. Limitaciones: Este estudio reconoce sus limitaciones, que incluyen una muestra de conveniencia de tamaño moderado y la dependencia de medidas PROMs. Futuras investigaciones deberían incorporar medidas objetivas, además de los autorreportes y análisis acústico. Importancia: Esta investigación aporta nuevos conocimientos sobre factores personales, laborales y síntomas de voz en trabajadores de call centers. El modelado predictivo mejora la evaluación de riesgos y la comprensión de la susceptibilidad individual a trastornos de la voz. Conclusión: Los resultados muestran asociaciones entre diversos factores y los síntomas vocales reportados. Los factores de protección incluyen dormir más de seis horas y una hidratación constante; los factores de riesgo incluyen las condiciones de trabajo, como la ubicación y comportamientos como fumar. Los modelos de diagnóstico indican una buena precisión para algunas PROMs de síntomas de la voz, lo que subraya la necesidad de modelos integrales que tengan en cuenta los factores laborales, los comportamientos vocales y los parámetros acústicos para comprender la complejidad de los problemas de la voz.

Predictive Factors for the Development of Gallbladder Necrosis.

Introduction Acute cholecystitis is a common complication of gallstone disease. Likewise, gallbladder necrosis is a complication of cholecystitis associated with higher risks of morbidity and mortality. Identification of risk factors which portend to gallbladder necrosis is key in prioritizing the management of higher-risk patients. This study aimed to identify such factors that predict the development of gallbladder necrosis. Method A retrospective review of all patients undergoing emergency cholecystectomy in a tertiary hospital over a two-year period was performed. Gallbladder necrosis was diagnosed on histopathological examination of operative specimens. Multivariable logistic regression was performed to determine risk factors for gallbladder necrosis. Results A total of 163 patients underwent acute cholecystectomy and 43 (26%) had proven gallbladder necrosis. Multivariable analysis demonstrated that elevated white cell count (WCC) (OR 1.122, 95%CI 1.031-1.221, p=0.007), elevated C-reactive protein (CRP) (OR 1.004, 95%CI 1.001-1.008, p=0.022) and positive smoking status (OR 5.724, 95%CI 1.323-24.754, p=0.020) were independently predictive of gallbladder necrosis. Notably, advancing age, elevated BMI, diabetes mellitus or American Society of Anesthesiologists (ASA) grade were not found to be associated with developing necrosis. Conclusion Patients at risk of gallbladder necrosis include those with higher WCC, CRP, and active smokers. Given the increased potential complications, these risk factors should be identified early in the management of those admitted with gallstone disease to ensure such patients receive aggressive medical therapy alongside timely and guided surgical intervention.

Predictive Factors of Apparent Treatment Resistant Hypertension Among Patients With Hypertension Identified Using Electronic Health Records.

BACKGROUND: Early identification of a patient with resistant hypertension (RH) enables quickly intensified treatment, short-interval follow-up, or perhaps case management to bring his or her blood pressure under control and reduce the risk of complications. OBJECTIVE: To identify predictors of RH among individuals with newly diagnosed hypertension (HTN), while comparing different prediction models and techniques for managing missing covariates using electronic health records data. DESIGN: Risk prediction study in a retrospective cohort. PARTICIPANTS: Adult patients with incident HTN treated in any of the primary care clinics of one health system between April 2013 and December 2016. MAIN MEASURES: Predicted risk of RH at the time of HTN identification and candidate predictors for variable selection in future model development. KEY RESULTS: Among 26,953 individuals with incident HTN, 613 (2.3%) met criteria for RH after 4.7 months (interquartile range, 1.2-11.3). Variables selected by the least absolute shrinkage and selection operator (LASSO), included baseline systolic blood pressure (SBP) and its missing indicator (a dummy variable created if baseline SBP is absent), use of antihypertensive medication at the time of cohort entry, body mass index, and atherosclerosis risk. The random forest technique achieved the highest area under the curve (AUC) of 0.893 (95% CI, 0.881-0.904) and the best calibration with a calibration slope of 1.01. Complete case analysis is not a valuable option (AUC = 0.625). CONCLUSIONS: Machine learning techniques and traditional logistic regression exhibited comparable levels of predictive performance after handling the missingness. We suggest that the variables identified by this study may be good candidates for clinical prediction models to alert clinicians to the need for short-interval follow up and more intensive early therapy for HTN.

Real-world Efficacy and Safety of Low-Dose Abiraterone With Food and Standard-Dose Abiraterone in De Novo Metastatic Hormone-Sensitive Prostate Cancer: A Retrospective Analysis.

BACKGROUND: The standard treatment for de novo metastatic hormone-sensitive prostate cancer (mHSPC) involves androgen deprivation therapy (ADT) combined with next-generation hormonal agents and/or docetaxel. While the standard dose (STD) of abiraterone is 1,000 mg administered while fasting, recent evidence suggests that a low dose (LOW) of 250 mg taken with a low-fat meal may achieve comparable pharmacokinetic outcomes. OBJECTIVES: This study aimed to evaluate the failure-free survival (FFS) and safety of LOW and STD in de novo high-risk mHSPC patients. MATERIALS AND METHODS: We conducted a retrospective analysis of males with de novo high-risk mHSPC treated with ADT plus abiraterone (250 mg with a low-fat meal or 1000 mg fasting) at the Vietnam National Cancer Hospital from January 2019 to May 2024. The primary endpoint was FFS, assessed using Kaplan-Meier and multivariate Cox regression analyses. RESULTS: The study included 183 patients, with 91 in the LOW group and 92 in the STD group. The rates of patients who achieved undetectable PSA (PSA < 0.2 ng/ml) were 52.7% in the LOW group and 47.8% in the STD group. The median time to undetectable PSA was 6.9 months in the LOW group and 6.4 months in the STD group. The median overall FFS was 28.1 months (95% CI: 21.1 to 35.0) in the LOW group and 25.4 months (95% CI: 15.5 to 35.3) in the STD group (P = .286). Multivariate analysis indicated that visceral metastases and detectable PSA (PSA ≥ 0.2 ng/ml) were significant negative predictors of FFS in both groups. The incidence of grade 3 and grade 4 adverse events was similar between the LOW group and the STD group. CONCLUSIONS: The LOW group and STD group showed effectiveness and safety in de novo high-risk mHSPC. The use of low-dose abiraterone in de novo mHSPC can significantly reduce treatment costs.

Predictors of Clinical Outcomes and Quality of Life After Sternoclavicular Joint Reconstruction With Hamstring Tendon Autograft.

BACKGROUND: Anterior instability of the sternoclavicular joint (SCJ) is a rare but potentially devastating pathological condition, particularly when it occurs in young or active patients. SCJ reconstruction using hamstring tendon autograft is a commonly used treatment option, yet to date results are limited to small case series. Studies on baseline, preoperative factors and their association with postoperative outcome are limited. PURPOSE: To assess the midterm clinical outcomes and survivorship after SCJ reconstruction using hamstring tendon autograft in patients experiencing anterior SCJ instability and to determine whether baseline patient or causative factors are associated with postoperative outcomes or patient satisfaction. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: Patients who underwent SCJ reconstruction with a hamstring tendon autograft for anterior SCJ instability between October 2005 and October 2020 were included in this retrospective single-center study. At a minimum of 2 years postoperatively, clinical outcomes were collected, including the following patient-reported outcomes (PROs): the 12-Item Short Form Survey (SF-12) score; American Shoulder and Elbow Surgeons (ASES) score; Quick Disabilities of the Arm, Shoulder and Hand (QuickDASH) score; Single Assessment Numeric Evaluation (SANE) score; and visual analog scale (VAS) pain score. Subjective postoperative satisfaction with the procedure was quantified on a scale from 0 (very unsatisfied) to 10 (very satisfied). The predictive role of patient factors, including age, sex, and injury in dominant arm, on postoperative PROs and satisfaction at short-term follow-up was evaluated using multiple linear regression. RESULTS: A total of 49 patients (mean age, 29.6 ± 16.2 years; range 13.8-67.1 years; 27 females) were included in the final analysis. At a mean follow-up of 3.9 ± 2.1 years, all PROs had significantly improved, including the mean SF-12 Physical Component Summary score (40.4 ± 6.8 to 52.6 ± 6.9; P < .001), ASES score (54.9 ± 20.4 to 91.0 ± 11.3; P < .001), QuickDASH score (41.2 ± 18.5 to 10.2 ± 9.1; P < .001); SANE score (50.2 ± 21.1 to 88.3 ± 8.8; P < .001), VAS pain score (4.4 ± 2.6 to 0.8 ± 1.4; P < .001), and VAS pain score at its worst (7.4 ± 2.5 to 3.3 ± 2.6; P < .001). The median postoperative satisfaction score was 9 (range, 1-10). Revision-free survivorship was 95.9%. Male patients had a significantly lower VAS pain score at its worst compared with female patients (2.6 ± 2.6 vs 4.1 ± 2.4; P = .045); higher age was significantly correlated with a worse QuickDASH score (correlation coefficient, 0.314; P = .036). Overhead athletes had a significantly lower propensity to return to sport compared with nonoverhead athletes (P = .043), with only 45% of the overhead athletes returning to a level similar to their preinjury level, whereas 81% of the nonoverhead athletes were able to do so. CONCLUSION: The significant improvements in clinical and sport-specific outcomes and high patient satisfaction after SCJ reconstruction with a hamstring tendon autograft demonstrate the success of this procedure in treating anterior SCJ instability. Male sex and younger patient age are associated with superior outcomes, while overhead athletes have to be counseled about difficulties of returning to preinjury level of sport postoperatively.

Establishment and validation of a predictive model for spontaneous preterm birth in singleton pregnant women.

INTRODUCTION: In the current study, we screened for highly sensitive and specific predictors of premature birth, with the aim to establish an sPTB prediction model that is suitable for women in China and easy to operate and popularize, as well as to establish a sPTB prediction scoring system for early, intuitive, and effective assessment of premature birth risk. METHODS: A total of 685 pregnant women with a single pregnancy during the second trimester (16-26 weeks) were divided into premature and non-premature delivery groups based on their delivery outcomes. Clinical and ultrasound information were collected for both groups, and risk factors that could lead to sPTB in pregnant women were screened and analyzed using a cut-off value. A nomogram was developed to establish a prediction model and scoring system for sPTB. In addition, 119 pregnant women who met the inclusion criteria for the modeling cohort were included in the external validation of the model. The accuracy and consistency of the model were evaluated using the area under the receiver operating characteristic (ROC) and C-calibration curves. RESULTS: Multivariate logistic regression analysis showed a significant correlation (P < 0.05) between the number of miscarriages in pregnant women, history of miscarriages in the first week of pregnancy, history of preterm birth, CL of pregnant women, open and continuous cervical opening, and the occurrence of sPTB in pregnant women. We drew a nomogram column chart based on the six risk factors mentioned above, obtained a predictive model for sPTB, and established a scoring system to divide premature birth into three risk groups: low, medium, and high. After validating the model, the Hosmer Lemeshow test indicated a good fit (p = 0.997). The modeling queue C calibration curve was close to diagonal (C index = 0.856), confirming that the queue C calibration curve was also close to diagonal (C index = 0.854). The AUCs of the modeling and validation queues were 0.850 and 0.881, respectively. CONCLUSION: Our predictive model is consistent with China's national conditions, as well as being intuitive and easy to operate, with wide applicability, thus representing a helpful tool to assist with early detection of sPTB in clinical practice, as well as for clinical management in assessing low, medium, and high risks of sPTB.

Trajectory of associative memory impairment during electroconvulsive therapy in depression.

Memory impairment is a serious cognitive side effect of electroconvulsive therapy (ECT) in the treatment of major depressive episodes (MDEs) and has garnered widespread attention in clinical practice, but its underlying evolution pattern during the course of ECT remains rarely understood in detail. Associative memory (AM) is a core indicator that reflects memory impairment in ECT. This study aimed to identify the dynamic trajectory of AM impairment and explore associated predictive factors. 405 intensive longitudinal AM data from 81 patients with MDE were collected at the baseline, after the first, third, fifth, and eighth ECT using five sets of face-cued word memory paradigms. Changes in AM score over time were analyzed using a linear mixed effects model. Trajectory subgroups and predictive factors were investigated using growth mixture model and logistic regression. AM score during ECT were significantly lower than at baseline, with the lowest scores observed after the eighth ECT session. Two trajectories of rapid (N = 56, 69.14%) and slow (N = 25, 30.86%) AM impairment were differentiated. Older female with lower education level were significant predictors contributing to more rapid memory impairment for ECT. The evolving pattern of associative memory impairment during ECT appears to occur early and worsen with subsequent treatment. This study may provide the important evidence understanding of the number effect of ECT sessions on memory impairment and suggest individual factors for predicting ECT memory outcome.

Predictive factors for tuberculous peripheral pulmonary lesions during radial endobronchial ultrasound.

BACKGROUND: Tuberculosis frequently poses diagnostic challenge when it presents as a peripheral pulmonary lesion (TB-PPL). The growing use of radial endobronchial ultrasound (rEBUS) for PPL biopsy highlights the need to identify predictive factors for TB-PPL, which is crucial for procedure safety. METHODS: A six-year retrospective review at our institution on adult patients with TB and malignant-PPL diagnosed from rEBUS procedure from October 1, 2016, to December 31, 2022. Clinical, radiological, procedural, histological and microbiological data were extracted and analysed. RESULTS: 387 PPLs were included in our cohort, 32 % were TB-PPL and 68 % were malignant-PPL. The median age was 63 (IQR 55-70) years, with the TB-PPL group significantly younger. The median size of the target lesion was 2.90 (IQR 2.26-4.00) cm. The overall rEBUS diagnostic yield was 85.3 %, with a 1.3 % pneumothorax risk. Multivariate analysis identified independent predictors for TB-PPL, including age <60 years (adj OR 2.635), target lesion size <2 cm (adj OR 2.385), upper lobe location (adj OR 2.020), presence of a cavity on pre-procedural CT (adj OR 4.186), and presence of rEBUS bronchogram (adj OR 2.722). These variables achieved an area under the curve of 0.729 (95 % CI 0.673-0.795) with a diagnostic accuracy of 75.49 % (95 % CI 70.68-79.88). CONCLUSIONS: Despite non-specific radiological findings in TB-PPL, our study identifies younger age, target lesion size less than 2 cm, upper lobe location, the presence of cavitation, and rEBUS bronchogram were independent clinical predictors for TB-PPL. This prediction model potentially helps mitigate the risk of accidental TB exposure during bronchoscopic procedures. A future prospective cohort study to validate these findings is essential to allow proper triaging of patient planning for rEBUS procedure.

Predictive factors for cranioplasty complications - A decade's experience.

Introduction: Cranioplasty (CP) following craniectomy provides cerebral protection, improves cerebrospinal fluid dynamics, and restores cosmesis. Although often viewed as minor, CP can have major complications. Research question: This study aims to identify the predictive factors for post-operative complications in patients undergoing CP after decompressive craniectomy. Methods: We conducted a retrospective study at a tertiary hospital, analyzing patients who underwent CP after decompressive craniectomy (DC) from 2008 to 2019. Patient demographics, medical history, and surgery details were retrieved from hospital records. Complications included symptomatic intracerebral haemorrhage, extradural or subdural haemorrhage, hydrocephalus, infection, or bone resorption. Results: The study included 168 patients: 139 adults (mean age 47.6 ± 12.68 years) and 29 pediatric patients (mean age 11.8 ± 5.62 years), with a slight male predominance. The overall complication rate was 26.2%, with infection being the most common (8.9%). Predictive factors for CP complications identified by binomial logistic regression, controlling for age and sex, included primary coagulopathy (14.3-fold risk increase, p = 0.034), intraoperative ventricular puncture (7.9-fold risk increase, p = 0.009), and intraoperative dural layer breach (2.8-fold risk increase, p = 0.033). Pre-CP home living was a protective factor. Conclusions: CP requires vigilant management to prevent complications. Primary coagulopathy, intraoperative ventricular puncture, and dural layer breach are significant risk factors for complications.

Factors Influence Breastfeeding Duration after High Risk and Low Risk Pregnancies.

BACKGROUND: Breastfeeding provides vital nutrients and fosters maternal-infant bonding, benefiting both mother and child. However, breastfeeding duration is influenced by various factors, especially in women of high-risk pregnancy. This study aims to identify predictors of breastfeeding duration among women of high-risk and low-risk pregnancy, focusing on exclusive and mixed feeding practices. METHODS: Conducted at a public hospital in Attica, Greece, this 20-month prospective cohort study (May 2020-January 2022) included 380 pregnant women, divided into high-risk and low-risk groups. The final sample of 157 women, after excluding non-breastfeeding participants, was assessed across five phases from prenatal to six months postpartum using interviews, calls, and surveys. Multiple linear regression identified key predictors, with statistical methods applied. RESULTS: Results revealed birth weight as a consistent significant predictor of breastfeeding duration. For women with high-risk pregnancy, additional factors like infant gender, jaundice, and early introduction of solid foods influenced breastfeeding duration. The mixed breastfeeding model for women with high-risk pregnancy explained 72.9% of the variance. Exclusive and mixed breastfeeding models for women with low-risk pregnancy also highlighted birth weight's influence. CONCLUSION: The findings highlight the important role of birth weight and other specific factors in determining breastfeeding duration among women of high-risk and low-risk pregnancy. Further research is needed to validate these findings across diverse populations.

Development of brain metastases in patients managed with non-curative thoracic radiotherapy for stage II/III non-small cell lung cancer.

BACKGROUND: This retrospective study analyzed the incidence of subsequent brain metastases after palliative radiotherapy or chemoradiation in patients with stage II/III non-small cell lung cancer (NSCLC). Risk factors for brain metastases development and survival after diagnosis were evaluated. METHODS: Different baseline parameters including but not limited to age, stage and target volume size were assessed. Outcomes were abstracted from electronic health records. Uni- and multivariate tests were performed. RESULTS: The study included 102 patients and found an actuarial risk of brain metastases of 15% (standard error ± 4) at one year and 20% (± 5) at two years. The maximum time interval was 15 months from start of radiation treatment. A non-significant survival difference was observed (median 12 months without versus 8.3 months with brain metastases, p = 0.21). Incidence was higher in patients with N2/3 stage, larger planning target volume size, and younger age (univariately significant factors). Trends were seen for stage III and adenocarcinoma histology. The multivariate analysis confirmed age as the most important risk factor. CONCLUSION: The risk of brain metastases development was comparable to that reported in studies of curative chemoradiation. All events occurred within 15 months of follow-up, suggesting that long-term surveillance imaging may not be warranted. Patients younger than 60 years had a very high risk of brain metastases development.

Development of decision tree classification algorithms in predicting mortality of COVID-19 patients.

INTRODUCTION: The accurate prediction of COVID-19 mortality risk, considering influencing factors, is crucial in guiding effective public policies to alleviate the strain on the healthcare system. As such, this study aimed to assess the efficacy of decision tree algorithms (CART, C5.0, and CHAID) in predicting COVID-19 mortality risk and compare their performance with that of the logistic model. METHODS: This retrospective cohort study examined 5080 cases of COVID-19 in Babol, a city in northern Iran, who tested positive for the virus via PCR from March 2020 to March 2022. In order to check the validity of the findings, the data was randomly divided into an 80% training set and a 20% testing set. The prediction models, such as Logistic regression models and decision tree algorithms, were trained on the 80% training data and tested on the 20% testing data. The accuracy of these methods for the test samples was assessed using measures like ROC curve, sensitivity, specificity, and AUC. RESULTS: The findings revealed that the mortality rate for COVID-19 patients who were admitted to hospitals was 7.7%. Through cross validation, it was determined that the CHAID algorithm outperformed other decision tree and logistic regression algorithms in specificity, and precision but not sensitivity in predicting the risk of COVID-19 mortality. The CHAID algorithm demonstrated a specificity, precision, accuracy, and F-score of 0.98, 0.70, 0.95, and 0.52 respectively. All models indicated that factors such as ICU hospitalization, intubation, age, kidney disease, BUN, CRP, WBC, NLR, O2 sat, and hemoglobin were among the factors that influenced the mortality rate of COVID-19 patients. CONCLUSIONS: The CART and C5.0 models had outperformed in sensitivity but CHAID demonstrates a better performance compared to other decision tree algorithms in specificity, precision, accuracy and shows a slight improvement over the logistic regression method in predicting the risk of COVID-19 mortality in the population under study.

Consider or not consider: the unsolved question on the use of radioactive iodine for differentiated thyroid cancer with low to intermediate risk of recurrence.

BACKGROUND: Surgery stands as the cornerstone treatment for differentiated thyroid cancer (DTC). After surgery, radioactive iodine (RAI) administration is primarily recommended for high-risk patients and commonly employed to address residual disease or mitigate the risk of recurrence. However, the optimal application of RAI in cases categorized as low to intermediate risk is still uncertain. This study aims to assess the indication of post-surgical RAI treatment specifically in patients diagnosed with DTC falling within the low to intermediate risk category for recurrent disease. METHODS: retrospective analysis of consecutive patients with DTC falling within the low to intermediate risk category for recurrence and diagnosed between 2009-2015. Patients were categorized into either treated or untreated with RAI. Treatment effect was assessed by the inverse-probability weighted regression adjustment (IPWRA), by balancing the distribution of factors influencing outcome and treatment assignment. RESULTS: after surgery, 328 patients (69.9%) were treated with RAI while 141 (30.1%) were left untreated. Across the entire cohort, 44 individuals (9.4%) displayed biochemical or structural disease after a median time of 17.5 months following diagnosis. Recurrent disease was more prevalent in patients who underwent RAI treatment compared to those untreated (12.5% vs 2.1%, respectively, p < 0.001). Factors independently associated with recurrent disease, identified through multivariate logistic regression analysis, included lymph node metastases (pN1) (OR = 4.07; 95% CI 1.84-8.97), male sex (OR = 2.71; 95% CI 1.31-5.59), tumor size (OR = 1.03; 95% CI 1.00-1.06), and microscopic extrathyroidal extension (OR = 2.36; 95% CI 1.15-4.81). IPWRA analysis revealed that the occurrence of recurrent disease was 9.6% (95% CI = 6.3-12.9) in RAI-treated patients and 15.9% (95% CI = 11.1-20.71) in untreated patients (p = 0.021). As a consequence, if all patients underwent RAI treatment, the estimated risk of recurrence would be reduced by 42% (RR = 0.58; 95% CI = 0.35-0.91, p = 0.018). The greatest benefit was observed in patients with 2 intermediate risk factors. CONCLUSIONS: These results suggest that treatment with RAI in low to intermediate DTC can reduce the risk of recurrence in selected patients. However, definitive answers regarding whether to consider RAI therapy for this category of patients can only be attained through prospective clinical trials. Up to date these results recommend a meticulous assessment of tumor characteristics at diagnosis to guide the decision regarding RAI administration.

Association of diabetes and white blood cell count with stroke in patients with carotid artery dissection.

BACKGROUND: Carotid artery dissection is an important cause of stroke. However, the predictors of ischemic stroke in patients with carotid artery dissection are controversial. The study aimed to analyze the predictors of ischemic stroke in patients with carotid artery dissection through retrospective medical records. METHODS: Data of discharged patients diagnosed with carotid artery dissection during 2019-2023 were retrospectively collected. Based on the occurrence of ischemic stroke, the patients were divided into the ischemic stroke or non-ischemic stroke groups. Based on the results of univariate analyses, variables with an associated P value < 0.05 were introduced into the multivariable logistic regression analysis. . RESULTS: A total of 165 patients were included in the study, with an average age of 55.00 (48.00, 66.00) years, including 86 patients with internal carotid artery dissection and 79 patients with vertebral artery dissection. Ischemic stroke occurred in 69 patients with carotid artery dissection. Multivariate logistic regression analysis indicated that diabetes (odds ratio [OR]: 3.144, 95% confidence interval [CI]: 1.552-6.508, P<0.002) and high white blood cells count (OR: 1.157, 95% CI: 1.02-1.327,P = 0.028) were related to the incidence of ischemic stroke in patients with carotid artery dissection. CONCLUSION: Ischemic stroke caused by carotid artery dissection causes severe damage to the nervous system. This study found that diabetes and high white blood cells count were associated with the incidence of ischemic stroke in patients with carotid artery dissection. Therefore, monitoring and controlling blood glucose levels and infections is essential in patients with carotid artery dissection to reduce the incidence of stroke.

Predictive Factors for Long-Term Disease Control in Systemic Treatment-Naïve Oligorecurrent Renal Cell Carcinoma Treated with Up-Front Stereotactic Ablative Radiotherapy (SABR).

BACKGROUND: Stereotactic ablative radiotherapy (SABR) is emerging as a potential local treatment option for oligometastatic RCC. This study aims to evaluate the efficacy of SABR in patients with oligorecurrent RCC. METHODS: A total of 50 patients with histologically confirmed RCC underwent SABR for oligorecurrence between 2006 and 2022. Eligible patients had up to five extracranial metastases and were systemic treatment-naïve at the time of irradiation. The primary endpoints of the analysis were overall survival (OS), local control (LC), distant metastasis-free survival (DMFS), and time to systemic therapy initiation. RESULTS: The median OS was not reached, with 1- and 3-year OS rates of 93.8% and 77.5%, respectively. LC rates at one and three years were 95.8% and 86.5%, respectively. The median time to systemic therapy initiation was 63.8 months, and the median DMFS was 17.9 months, with one- and three-year rates of 63.4% and 36.6%, respectively. Multiple metastases were a negative predictive factor for DMFS (HR 2.39, p = 0.023), whereas lung metastases were associated with a more favorable outcome (HR 0.38, p = 0.011). CONCLUSIONS: SABR offers a valuable treatment option for oligometastatic RCC, demonstrating significant potential for achieving long-term disease control and delaying the need for systemic therapy.

Cerebral contusions - Pathomechanism, predictive factors for progression and historical and current management.

Introduction: Cerebral contusions (CCs) are common traumatic brain injuries known for their propensity to progress. Understanding their mechanical pathogenesis and predictive factors for progression is crucial for optimal management. Research question: To provide an overview of current knowledge on CCs, including pathomechanisms, predictive factors of contusion progression, and management strategies. Material and methods: A literature search was conducted using PubMed, Scopus and ISI web of knowledge focused on articles in English with the words "cerebral contusion" together with the words "traumatic brain injury", "pathomechanism", "progression of contusion", "predictive factors" and "management" alone or in combination. Results: The management of CCs has evolved alongside the advances in neurointensive care, yet there is no consensus. Evidence on the effectiveness of early surgery, importantly, for the group which has the potential to expand, is limited. Some predictive factors for contusion progression have been identified, including age, injury mechanism, coagulopathy and initial contusion volume which could help to guide decision-making. Discussion and conclusion: While various theories exist on pathomechanisms and several predictive factors for progression have been proposed, consensus on optimal management remains elusive. Individualized care guided by the predictive factors is essential. Challenges posed by antithrombotic medications highlight the need for early intervention strategies.Decompressive craniectomy could serve as a potential tool in severe traumatic brain injury management including contusions. Conducting large cohort studies to refine predictive models and harmonizing management approaches would help to improve outcomes of patients with CCs.

Predictive Factors of Pulmonary Hydatid Complications in Children.

BACKGROUND: Pulmonary echinococcosis in children has frequent and severe complications. The aim of our study was to determine predictive factors of pre and postoperative complications of pediatric pulmonary hydatid cyst. METHODS: We conducted a retrospective descriptive and analytic study conducted from January 2010 to December 2018. The study population was divided into two groups to determine predictive factors of pre- and post-operative complications of pediatric pulmonary echinococcosis. Data were analyzed by IBM SPSS 21.0. A p-value of 0.05 was accepted as significant. RESULTS: The study included 106 boys and 94 girls with a median age of 8 years. One hundred and thirty-eight patients (69%) had complicated pulmonary hydatid cyst preoperatively. Univariate analysis identified 12 predictive factors of pre-operative complications: rural origin (p = 0.0001), hydatid contact (p < 0.001), long period between the onset of symptoms and the first medical consultation (p = 0.0001), the autumn and the winter (cold seasons) (p = 0.0001), chest pain (p = 0.0001), hemoptysis (p = 0.023), fever (p = 0.0001), right side (p = 0.01), apical and para hilar location (p = 0.01), superior lobe (p = 0.05), superior right lobe (p = 0.0001), cyst size>5 cm (p = 0.02), positive hydatid serology (p < 0.0001). It identified 2 predictive factors of post-operative complications: giant cyst (p = 0.009) and not performing a capitonnage (p = 0.016). Multivariate analysis showed 4 independent pre-operative predictive factors of complications: rural area (p < 0.0001), fever (p = 0.006), right side (p = 0.02) and positive hydatid serology (p < 0.001). It identified 2 postoperative independent predictive factors of complications: not performing. capitonnage (p = 0.029) and solitary hydatid pulmonary cyst (p = 0.02). CONCLUSION: Pulmonary hydatid cyst management in children needs a thorough appreciation of independent predictive factors of pre and postoperative complications in order to reduce their morbidity.

Association between preoperative appendiceal histology grade and Pseudomyxoma peritonei grade offers a solution to avoid right hemicolectomy during cytoreductive surgery and HIPEC.

INTRODUCTION & OBJECTIVES: Treatment of PMP consists of appendectomy, cytoreductive surgery (CRS) and HIPEC. Right-sided hemicolectomy is necessary only when PMP is high grade, given the lymphatic invasion risk. To date, no single preoperative factor was identified as predictive of PMP grade. MATERIALS & METHODS: Preoperative factors of a prospective cohort study on PMP were retrospectively analyzed, in order to identify situations linked with high or low grade appendiceal PMP. The main outcome was PMP grade on definitive histology after CRS. RESULTS: n = 105. In univariate analysis, the grade of the appendiceal tumor, systematically reviewed in an expert center, showed an OR of 25.00 (95 % CI: 3.30-189.27; p = 0.001) and an NPV of 93.75 [85.36, 100]. Peritoneal biopsy demonstrated an OR of 19.80 (95 % CI: 2.30-170.71; p = 0.002) and a PPV of 90 [71.41, 100]. In multivariate analysis, these two factors remained significantly associated with PMP grade. CONCLUSION: Whenever appendiceal tumor is low grade on preoperative histology, the colon has to be spared unless completeness of CRS is compromised, which is a high-grade feature in fact. In case of high grade appendiceal tumor and/or peritoneal biopsy, right-sided hemicolectomy is warranted. If no histology is available preoperatively, adapt to intraoperative lesions as no preoperative factors seem to be predictive.

Predictors of 2-year mortality in geriatric patients hospitalized with COVID-19 in Türkiye: a retrospective cohort study.

Aim: To reveal factors affecting 2-year mortality in geriatric patients hospitalized with COVID-19.Methods: Demographic characteristics, clinical and laboratory data, thorax computed tomography (CT) images, second-year survival status, and causes of death were analyzed.Results: The 2-year post-discharge mortality rate of 605 patients was 21.9%. Mean age of patients in the deceased group was 76.8 ± 8.1 years, which was shorter than the life expectancy at birth in Türkiye. Older age (≥85), delirium, some co-morbidities, and atypical thorax CT involvement were associated with a significant increase in 2-year mortality (p < 0.05).Conclusion: This is the first study to evaluate factors associated with 2-year mortality in older COVID-19 patients. Identifying risk factors for long-term mortality in geriatric COVID-19 patients is important.

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Swallowing impairment in older persons following burn injury: Validation of incidence and predictive factors for dysphagia.

BACKGROUND: Early retrospective data identify that dysphagia is common in older persons with burn injury, suggesting a rate of 47 %, and that it is associated with medical, burn, and nutritional outcomes. AIMS: To prospectively (1) explore the incidence, (2) describe associations, and (3) evaluate risk factors for dysphagia in patients ≥ 75 years old hospitalised with burn injury. METHODS: All patients > 75 years old admitted to Concord-Repatriation-General-Hospital with burn injury over 4 years (2019-2023) were assessed for dysphagia on presentation and were continually monitored throughout their admission. Burn injury, demographic, and nutritional data were prospectively captured and analysed for association with dysphagia. RESULTS: Sixty-two patients (33 male) aged 75-95 years (median=83 years) were recruited. Dysphagia was identified in 50 %. Dysphagia was associated with burn size (p = 0.002), pre-existing cognitive impairment (p = 0.000), hospital length of stay (p = 0.001), in-hospital complications (p = 0.000), feeding dependence (p = 0.002), nutritional status (p = 0.013) and enteral feeding duration (p = 0.030). Cognitive impairment was the most sensitive predictor for dysphagia at 100 % (specificity=29 %, NPV=100 %, PPV=59 %). Development of secondary comorbidities was less sensitive at 52 % (NPV 65 %), but was associated with high specificity (90 %) and PPV (84 %). CONCLUSIONS: One in every two patients ≥ 75 years admitted with burn injury will demonstrate dysphagia during their hospital admission. Those with pre-existing cognitive impairment are most at risk.