BACKGROUND: To identify predictors of discontinuing treatment with teriparatide (TPTD) and alendronate (ALN), data from a randomized, controlled trial (JOINT-05) involving postmenopausal Japanese women at high risk of fracture were re-analyzed.
METHODS: Participants received sequential therapy with once-weekly TPTD for 72 weeks followed by ALN for 48 weeks (TPTD-ALN group) or monotherapy with ALN for 120 weeks (ALN group). Background data including comorbidities, fracture prevalence, cognitive function, quality of life, activities of daily living, bone metabolism parameters, and nutrient intake were collected. The endpoints were 3 types of discontinuations by the reason: a poor compliance, adverse events (AEs), or any reason including those unrelated to AEs or poor compliance. Odds ratios (ORs) of baseline predictors of discontinuation were evaluated by single or multiple regression analysis.
RESULTS: A total of 234 (49.0%) patients in the TPTD-ALN group and 167 (34.2%) patients in the ALN group discontinued. In the TPTD-ALN group, a lower serum calcium level was a significant predictor of compliance-related discontinuation. Serum 25-hydroxyvitamin D levels were lower in patients with lower serum calcium levels than with higher serum calcium levels. In the ALN group, poor cognitive function was significantly associated with compliance-related discontinuation, and higher body mass index and alcohol intake were predictors of AE-related discontinuation. Predictors of discontinuation were drug-specific. Lower serum calcium levels and poor cognitive function were predictors of discontinuing once-weekly TPTD and ALN, respectively.
CONCLUSIONS: When starting TPTD and ALN treatment, careful attention to patients with lower serum calcium levels and poor cognitive function, respectively, may be needed for better treatment continuity.

OBJECTIVE: To identify independent predictors of thoracic aortic growth in patients with type B aortic dissection (TBAD) undergoing thoracic endovascular aortic repair (TEVAR).
METHODS: A retrospective analysis of the patients undergoing TEVAR for TBAD or intramural hematoma (IMH) from April 2014 to April 2023 was performed. The baseline morphological data of TBAD was established through computed tomography angiography (CTA) before discharge. Patients were divided into two groups based on aortic growth: growth and no growth. Aortic growth defined as an increase ≥5 mm in thoracic maximal aortic diameter during any serial follow-up CTA measurement. Logistic regression following propensity score matching (PSM) was used to identify independent predictors for aortic growth. Receiver operating characteristic curve and cutoff value of independent predictors were calculated. Linear regression was used to establish a correlation between anatomical variables and follow-up aortic diameter.
RESULTS: A total of 145 patients with TBAD (n = 122) or IMH (n = 23) undergoing TEVAR were included, with a male of 83.4% and a mean age of 56 ± 14.1 years. Patients in growth group and no growth group was 26 (17.9%) and 119 (80.1%), respectively. After using PSM method, matched regression analysis showed residual maximal tear diameter (OR = 0.889, 95% CI 0.830-0.952, p = 0.001) and follow-up aortic diameter (OR = 0.977, 95% CI 0.965-0.989, p < 0.001) were independent predictors for aortic growth. The cutoff value was 8.55 mm for residual tear diameter and 40.65 mm for follow-up maximal aortic diameter. The residual maximal tear diameter showed a linear correlation with follow-up aortic diameter (DW = 1.74, R2 = 6.2%, p = 0.033).
CONCLUSIONS: This study suggested that residual maximal tear diameter >8.55 mm and follow-up aortic diameter >40.65 mm could predict aortic growth in patients with TBAD undergoing TEVAR.

This systematic review aimed to synthesize evidence on predictors and moderators of treatment outcomes in internet- and mobile-based interventions (IMIs) for depression, informing personalized care. A systematic search across PubMed, PsycInfo, and Cochrane yielded 33,002 results. Two reviewers independently performed screening, data extraction, risk of bias assessment, and methodological quality evaluation. Fifty-eight single studies (m = 466 analyses) focusing on baseline-predictors (59.7 %, m = 278), process-predictors (16.5 %, m = 77), and moderators (21.9 %, m = 102), and six individual patient data meta-analyses (m = 93) were included. Only 24.0 % (m = 112/466) of analyses in single studies and 15.1 % (m = 14/93) in individual patient data meta-analyses were significant. Evidence from single studies was rated as insufficient for all variable categories with only 2 out of 40 categories showing >50 % significant results. Baseline depression severity had the strongest predictive value with higher scores linked to better outcomes followed by variables indicative for the course-of-change. Other frequently analyzed and potentially relevant variables with significant results were adherence, age, educational level, ethnicity, relationship status, treatment history, and behavioral variables. More high quality quantitative studies with sufficient power are essential to validate and expand findings, identifying predictors and moderators specifically relevant in IMIs to explain differential treatment effects.

UNASSIGNED: Rapid progression of coronary non-target lesions is essential for the determination of future cardiovascular events. Clinical factors that predict rapid progression of non-target lesions are unclear. The purpose of this study was to identify the clinical predictors of rapid progression and revascularization of coronary non-target lesions.
UNASSIGNED: Consecutive patients with coronary heart disease who had undergone two serial coronary angiograms were enrolled. All coronary non-target lesions were identified and evaluated at both procedures. Multivariable Cox regression analysis was used to investigate the clinical risk factors associated with rapid progression or revascularization of coronary non-target lesions.
UNASSIGNED: A total of 1255 patients and 1670 lesions were enrolled. In this cohort of patients, 239 (19%) had rapid progression and 186 (14.8%) underwent revascularization. At the lesion level, 251 (15.0%) had rapid progression and 194 (11.6%) underwent revascularization. The incidence of lesion revascularization and myocardial infarction was significantly higher in patients with rapid progression. In multivariable analyses, hypertension (hazard ratio [HR], 0.76; 95% confidence interval [95% CI], 0.58-1.00; p = 0.049), ST-segment elevation myocardial infarction (STEMI) (HR, 1.46; 95% CI, 1.03-2.07; p = 0.035), glycosylated hemoglobin (HR, 1.16; 95% CI, 1.01-1.33; p = 0.039) and lesion classification (B2/C versus A/B1) (HR, 1.73; 95% CI, 1.27-2.35; p = 0.001) were significant factors associated with rapid progression. The level of triglycerides (HR, 1.10; 95% CI, 1.00-1.20; p = 0.040) and lesion classification (B2/C versus A/B1) (HR, 1.53; 95% CI, 1.09-2.14; p = 0.014) were predictors of lesion revascularization.
UNASSIGNED: Hypertension, STEMI, glycosylated hemoglobin and lesion classification may be used as predictors of rapid progression of coronary non-target lesions. The level of triglyceride and lesion classification may predict the revascularization of non-target lesions. In order to prevent future cardiovascular events, increased attention should be paid to patients with these factors.

BACKGROUND: Residual symptoms of depressive disorders are serious health problems. However, the progression process is hardly predictable due to high heterogeneity of the disease. This study aims to: (1) classify the patterns of changes in residual symptoms based on homogeneous data, and (2) identify potential predictors for these patterns.
METHODS: In this study, we conducted a data-driven Latent Class Growth Analysis (LCGA) to identify distinct tendencies of changes in residual symptoms, which were longitudinally quantified using the QIDS-SR16 at baseline and 1/3/6 months post-baseline for depressed patients. The association between baseline characteristics (e.g. clinical features and cognitive functions) and different progression tendencies were also identified.
RESULTS: The tendency of changes in residual symptoms was categorized into four classes: \"light residual symptom decline (15.4%)\", \"residual symptom disappears (39.3%)\", \"steady residual symptom (6.3%)\" and \"severe residual symptom decline (39.0%)\". We observed that the second class displayed more favorable recuperation outcomes than the rest of patients. The severity, recurrence, polypharmacy, and medication adherence of symptoms are intricately linked to the duration of residual symptoms\' persistence. Additionally, clinical characteristics including sleep disturbances, depressive moods, alterations in appetite or weight, and difficulties with concentration have been identified as significant factors in the recovery process.
CONCLUSIONS: Our research findings indicate that certain clinical characteristics in patients with depressive disorders are associated with poor recovery from residual symptoms following acute treatment. This revelation holds significant value in the targeted attention to specific patients and the development of early intervention strategies for residual symptoms accordingly.

UNASSIGNED: The prognosis of acute liver failure (ALF) treated with conservative therapy is extremely poor. Histologic diagnosis at the time ALF occurs provides important clues for determining the prognosis, including indications for liver transplant. Transjugular liver biopsy (TJLB), which helps clarify the pathology of ALF, may be an effective clinical parameter that contributes to prognosis prediction, including indications for liver transplant.
UNASSIGNED: In this prospective study, 79 patients who underwent TJLB with ALF were enrolled between May 2002 and March 2021. The relationships between prognosis and the extent of tissue necrosis on TJLB specimens, serum parameters related to the cause, and clinical parameters were investigated.
UNASSIGNED: Model for end-stage liver disease-sodium, hepatic encephalopathy predicting, total bilirubin, hepatocyte growth factor, ammonia, coma rate, and histologic diagnosis were identified as prognostic factors on univariate analysis. Histologically, 13 of 16 patients with massive hepatic necrosis died or had a liver transplant. On multivariate analysis, the only prognostic factor was massive hepatic necrosis. There were no treatment-related complications, and TJLB was technically successful in all patients.
UNASSIGNED: In diagnosing the cause of ALF and understanding its pathology, TJLB contributes to predicting the prognosis of ALF based on histologic findings together with liver function tests and imaging findings, and it is an important diagnostic technique for determining diagnostic and treatment eligibility, including indications for liver transplant. When determining the best timing for patient selection and liver transplant, the finding of massive hepatic necrosis on TJLB specimens at the time ALF occurred was the most important prognostic factor.

BACKGROUND: COVID-19 illness severity ranges from mild- to life-threatening cases necessitating critical care. Rapid prediction of disease severity and the need for critical care support in COVID-19 patients remain essential, not only for current management but also for preparedness in future pandemics. This study aimed to assess hematological parameters as predictors of intensive care unit (ICU) admission and survival in COVID-19 patients, providing insights applicable to a broad range of infectious diseases.
METHODS: A case-control study was conducted at Hospital Raja Perempuan Zainab II, a tertiary referral hospital in Kelantan, Malaysia, from March 2020 to August 2021. Demographics, clinical, and laboratory data were retrieved from patients\' medical records. Statistical analyses, including the Chi-square (χ2) test, independent t-tests, and simple and multiple logistic regressions, were used to analyze the data. A receiver operating characteristic (ROC) curve analysis was conducted to assess the accuracy of the predictors.
RESULTS: The median age was 51 years, with females comprising 56.7% (n=148) and males 43.3% (n=113). A total of 88.5% of patients were admitted to non-ICU wards, with a mortality rate of 5.7%. Significant differences were observed in the distribution of hematological parameters between ICU-admitted and non-admitted patients. Neutrophil (OR: 23.96, 95% CI: 7.296-78.675) and white blood cell (WBC) count (OR: 36.677, 95% CI: 2.086-644.889) were the most significant predictors for ICU admission and survival, respectively.
CONCLUSIONS: WBC and neutrophil counts exhibited high predictive value for ICU admission, while WBC, neutrophil, lymphocyte, and immature granulocyte (IG) counts were significant predictors of survival status among COVID-19 patients. These findings underscore the continued relevance of hematological markers in managing severe respiratory infections and improving critical care triage, with implications for current and future healthcare challenges.

BACKGROUND: The remarkable advancements in surgical techniques over recent years have shifted the clinical focus from merely reducing mortality to enhancing the quality of postoperative recovery. The duration of a patient\'s hospital stay serves as a crucial indicator in evaluating postoperative recovery and surgical outcomes. This study aims to identify predictors of the length of hospital stay for children who have undergone corrective surgery for Ebstein Anomaly (EA).
METHODS: We conducted a retrospective cohort study on children (under 18 years of age) diagnosed with EA who were admitted for corrective surgery between January 2009 and November 2021 at Fuwai Hospital. The primary outcome was the Time to Hospital Discharge (THD). Cox proportional hazard models were utilized to identify predictors of THD. In the context of time-to-event analysis, discharge was considered an event. In cases where death occurred before discharge, it was defined as an extended THD, input as 100 days (exceeding the longest observed THD), and considered as a non-event.
RESULTS: A total of 270 children were included in this study, out of which three died in the hospital. Following the Cox proportional hazard analysis, six predictors of THD were identified. The hazard ratios and corresponding 95% confidence intervals were as follows: age, 1.030(1.005,1.055); C/R > 0.65, 0.507(0.364,0.707); Carpentier type C or D, 0.578(0.429,0.779); CPB time, 0.995(0.991,0.998); dexamethasone, 1.373(1.051,1.795); and transfusion, 0.680(0.529,0.875). The children were categorized into three groups based on the quartile of THD. Compared to children in the ≤ 6 days group, those in the ≥ 11 days group were associated with a higher incidence of adverse outcomes. Additionally, the duration of mechanical ventilation and ICU stay, as well as hospital costs, were significantly higher in this group.
CONCLUSIONS: We identified six predictors of THD for children undergoing corrective surgery for EA. Clinicians can utilize these variables to optimize perioperative management strategies, reduce adverse complications, improve postoperative recovery, and reduce unnecessary medical expenses.

OBJECTIVE: We investigated the prevalence, clinical characteristics, and prognosis of patients with heart failure (HF) with improved ejection fraction (HFimpEF).
RESULTS: We used data from BIOSTAT-CHF including patients with a left ventricular ejection fraction (LVEF) ≤40% at baseline who had LVEF re-assessed at 9 months. HFimpEF was defined as a LVEF >40% and a LVEF ≥10% increase from baseline at 9 months. We validated findings in the ASIAN-HF registry. The primary outcome was a composite of time to HF rehospitalization or all-cause mortality. In BIOSTAT-CHF, about 20% of patients developed HFimpEF, that was associated with a lower primary event rate of all-cause mortality (hazard ratio [HR] 0.52, 95% confidence interval [CI] 0.28-0.97, p = 0.040) and the composite endpoint (HR 0.46, 95% CI 0.30-0.70, p < 0.001) compared with patients who remained in persistent HF with reduced ejection fraction (HFrEF). The findings were similar in the ASIAN-HF (HR 0.40, 95% CI 0.18-0.89, p = 0.024, and HR 0.29, 95% CI 0.17-0.48, p < 0.001). Five independently common predictors for HFimpEF in both BIOSTAT-CHF and ASIAN-HF were female sex, absence of ischaemic heart disease, higher LVEF, smaller left ventricular end-diastolic and end-systolic diameter at baseline. A predictive model combining only five predictors (absence of ischaemic heart disease and left bundle branch block, smaller left ventricular end-systolic and left atrial diameter, and higher platelet count) for HFimpEF in the BIOSTAT-CHF achieved an area under the curve of 0.772 and 0.688 in the ASIAN-HF (due to missing left atrial diameter and platelet count).
CONCLUSIONS: Approximately 20-30% of patients with HFrEF improved to HFimpEF within 1 year with better clinical outcomes. In addition, the predictive model with clinical predictors could more accurately predict HFimpEF in patients with HFrEF.

UNASSIGNED: Burn injury is a major cause of mortality. Majority of the burns occur in low and middle-income countries like Uganda. Uganda has a limited number of burn centres and medical resources, making a predictor of mortality necessary in allocation of the limited resources. Although the revised Baux (r-Baux) score has been validated and used in many high income countries, no study has assessed its role in an African low-income country; the reason this study was done.
UNASSIGNED: This was a prospective multicentre cohort that enroled 101 burn patients with moderate and severe burns admitted in three tertiary hospitals in western Uganda. Follow-up was done until discharge, documenting mortality. A receiver operator characteristic curve was used to determine the role of r-Baux score in predicting mortality.
UNASSIGNED: This study included 101 patients, with a mean age of 21.3 (SD=16.8) years. The majority of the participants were male (69.3%). The area under the curved for r-Baux score\'s prediction of mortality was 0.943 (P<0.001). The most appropriate cut-off was determined to be 74.5. At this cut-off, r-Baux score predicted mortality with a sensitivity of 100% and specificity of 83.5%. After controlling for burn severity using Poisson regression, a patient with r-Baux score greater than 74.5 was 1.358 times more likely to die (adjusted risk ratio=1.358, 95% CI=1.195-1.543, P<0.001).
UNASSIGNED: The r-Baux score was found to be excellent at predicting mortality among burn patients in Uganda and therefore should be done for all patients at admission, in order to predict mortality and do proper planning.