METHODS: Cross-sectional data from a multicenter cohort of 419 HF outpatients were used. Both direct and indirect mapping approaches were attempted using 5 sets of explanatory variables and 8 models (ordinary least squares, Tobit, censored least absolute deviations, generalized linear model, 2-part model [TPM], beta regression-based model, adjusted limited dependent variable mixture model, and multinomial ordinal regression [MLOGIT]). The models' predictive performance was assessed through 10-fold cross-validated mean absolute error [MAE] and root mean squared error [RMSE]). Potential prediction bias was also examined graphically. The best-performing models, with the lowest RMSE and no bias, were then identified.
RESULTS: Among the models evaluated, TPM, which included age, sex, and 5 AQoL-6D dimension scores as predictors, appears to be the best-performing model for directly predicting EQ-5D-5L HSUVs from AQoL-6D. TPM yielded the lowest MAE (0.0802) and RMSE (0.1116), and demonstrated predictive accuracy for HSUVs >0.2 without significant bias. A MLOGIT model developed for response mapping had suboptimal predictive accuracy.
CONCLUSIONS: This study developed potentially useful mapping algorithms for generating Malaysian EQ-5D-5L HSUVs from AQoL-6D responses among patients with HF when direct EQ-5D-5L data are unavailable.
METHODS: The AVATAR trial randomly assigned patients with severe, asymptomatic AS and LV ejection fraction ≥50% to undergo either early surgical aortic valve replacement (AVR) or conservative treatment with watchful waiting strategy. All patients had negative exercise stress testing. The primary hypothesis was that early AVR will reduce a primary composite endpoint comprising all-cause death, acute myocardial infarction, stroke or unplanned hospitalization for heart failure (HF), as compared to conservative treatment strategy.
RESULTS: A total of 157 low-risk patients (mean age 67 years, 57% men, mean Society of Thoracic Surgeons score 1.7%) were randomly allocated to either early AVR group (n=78) or conservative treatment group (n=79). In an intention-to-treat analysis, after a median follow-up of 63 months, the primary composite endpoint outcome event occurred in 18/78 patients (23.1%) in the early surgery group and in 37/79 patients (46.8%) in the conservative treatment group (hazard ratio [HR] early surgery vs. conservative treatment 0.42; 95% confidence interval [CI] 0.24-0.73, p=0.002). The Kaplan-Meier estimates for individual endpoints of all-cause death and HF hospitalization were significantly lower in the early surgery compared with the conservative group (HR 0.44; 95% CI 0.23-0.85, p=0.012 for all-cause death, and HR 0.21; 95% CI 0.06-0.73, p=0.007 for HF hospitalizations).
CONCLUSIONS: The extended follow-up of the AVATAR trial demonstrates better clinical outcomes with early surgical AVR in truly asymptomatic patients with severe AS and normal LV ejection fraction compared with patients treated with conservative management on watchful waiting.
TRIAL REGISTRATION NUMBER: NCT02436655 (ClinicalTrials.gov).
METHODS: Prospective cohort study of Spanish patients nested in the HIP ATTACK-1 trial. The HIP ATTACK-1 was an international, randomized, controlled trial (17 countries, 69 hospitals, 7 in Spain, highest recruiting country). Patients were randomized to either accelerated surgery (goal of surgery within 6 h of diagnosis) or standard care. Participants were ≥45 years of age who presented with a low-energy hip fracture requiring surgery.
RESULTS: Among 534 patients in the Spanish cohort, 69 (12.9 %) patients died at 90 days follow-up, compared to 225 (9.2 %) in the non-Spanish cohort (p = 0.009), mostly due to higher nonvascular related mortality. A composite of major postoperative complication occurred in 126 patients (23.6 %). The most common perioperative complications were myocardial injury (189 patients, 35.4 %), infection with no sepsis (86 patients, 16.1 %) and perioperative delirium (84 patients, 15.7 %); all these complication rates in Spain were significantly higher than the non-Spanish patients (29.2 % p = 0.005; 11.9 % p = 0.008 and 9.2 % p < 0.0001, respectively). Spanish cohort patients were older and had more comorbidities than the non-Spanish cohort, evidencing their greater frailty at baseline. Among Spanish patients, the median time from hip fracture diagnosis to surgery was 30.0 h (IQR 21.1-53.9) in the standard-care group, with 68.8 % of patients receiving surgery within 48 h of diagnosis. This median time was lower in the non-Spanish cohort (22.8 h, IQR 9.5-37.0), where 82.1 % of patients were operated within 48 h.
CONCLUSIONS: In the HIP ATTACK-1 trial, 1 in 8 patients died 90 days after a hip fracture in Spain. The most common complication after a hip fracture was myocardial injury, followed by infection and delirium. Spanish patients had worse outcomes than non-Spanish patients. Research needs to focus on new interventions such as accelerated surgery and perioperative troponin measurement with the appropriate investment of resources, to prevent and identify early these complications with a goal of improving mortality for this high-risk population.
LEVEL OF EVIDENCE: II.
OBJECTIVES: This study aimed to identify risk factors of TB treatment interruption and construct a predictive scoring model that enables objective risk stratification for better prediction of treatment interruption.
METHODS: A multicentre retrospective cohort study was conducted at public health clinics in Sarawak, Malaysia over 11 months from March 2022 to January 2023, involving adult patients aged ≥18 years with drug-susceptible TB diagnosed between 2018 and 2021. Cumulative missed doses or discontinuation of TB medications for ≥2 weeks, either consecutive or non-consecutive, was considered as treatment interruption. The model was developed and internally validated using the split-sample method. Multiple logistic regression analysed 18 pre-defined variables to identify the predictors of TB treatment interruption. The Hosmer-Lemeshow test and area under the receiver operating characteristic curve (AUC) were employed to evaluate model performance.
RESULTS: Of 2953 cases, two-thirds (1969) were assigned to the derivation cohort, and one-third (984) formed the validation cohort. Positive predictors included smoking, previously treated cases, and adverse drug reactions, while concurrent diabetes was protective. Based on the validation dataset, the model demonstrated good calibration (P = 0.143) with acceptable discriminative ability (AUC = 0.775). A cutoff score of 2.5 out of 11 achieved a sensitivity of 81 % and a specificity of 64.4 %. Risk stratification into low (0-2), medium (3-5), and high-risk (≥6) categories showed ascending interruption rates of 5.3 %, 18.1 %, and 41.3 %, respectively (P
METHODS: A retrospective multicenter cohort study was conducted by reviewing the medical records of children with idiopathic nephrotic syndrome treated between 2006 and 2023. Cox proportional regression analyzed prognostic factors for steroid-sparing agent requirements in children with frequent relapses or steroid-dependent nephrotic syndrome. The time-to-event analysis utilizing the Kaplan-Meier estimate examined the proportion of children needing steroid-sparing agents after diagnosis.
RESULTS: Medical records of 121 children (85 males) diagnosed with idiopathic nephrotic syndrome at a median age of 4.5 years (range 1.3-12.8) were reviewed over a median follow-up of 3.7 years (range 1.0-15.0). Time to subsequent relapse post-frequent relapses or steroid-dependent nephrotic syndrome diagnosis (at 3-month threshold) emerged as the sole significant predictor of steroid-sparing agent requirement, adjusted hazard ratio (aHR) = 2.26, 95% confidence interval (CI) 1.26-4.05. Kaplan-Meier analysis indicated that an earlier first relapse (