RESUMO
Mucopolysaccharidosis type II (MPS II) is a rare multisystemic lysosomal disorder in which cardiac issues can lead to serious dysfunction and an increased risk of fatal cardiac failure. However, studies on major adverse cardiac event (MACE) outcomes in MPS II are lacking. This study evaluated the cardiovascular outcomes and impact of enzyme replacement therapy (ERT) in patients with MPS II in South Korea. In this national cohort study, utilizing data from the National Health Insurance Database, we evaluated 127 patients with MPS II over a 14-year period to investigate the effects of ERT on MACE and all-cause mortality. We tracked MACE incidence, defined by hospitalizations for cardiovascular events, from diagnosis and adjusted the hazard ratios for MACE using Cox modeling. Over an average follow-up period of 7.3 years, we identified 16 cases of MACE among patients (17.35 per 1000 person-years; 95% confidence interval, 10.74-26.83). Patients receiving ERT exhibited a significantly lower incidence of MACE than untreated patients, with cumulative incidences showing a marked difference of 8.3 years. Notably, initiating ERT at earlier stages post-diagnosis was associated with improved outcomes, underscoring the importance of timely treatment. The key risk factors for MACE included specific arrhythmias, a history of invasive procedures, and depression. Early ERT significantly reduced MACE risk and increased survival in patients with MPS II. This underscores the importance of prompt treatment initiation and comprehensive care to address key risk factors and advocates for an expanded therapeutic strategy to enhance MPS II outcomes.
RESUMO
Fabry disease (FD) is a rare inherited X-linked lysosomal storage disorder that results in the progressive accumulation of glycosphingolipids in multiple organs. Early FD-specific treatments may improve clinical outcomes; however, clinical evidence about early FD treatment is limited. We aimed to determine the cardiovascular outcomes of patients with FD who received enzyme replacement therapy. This nationwide observational study was conducted using the National Health Claims database of the Korean population with FD. The primary outcome was major adverse cardiovascular events (MACEs). MACE risk factors in FD were evaluated using time-dependent Cox regression. Between January 2007 and April 2022, 188 patients with FD were analyzed. Among them, 22 (11.7%) experienced MACE (males: 14/95 [14.7%]; females: 8/93 [8.6%]). The mean age at MACE diagnosis was 53.5 ± 11.0 years in all patients with FD, which was lower in males compared with in females (49.7 ± 9.6 vs. 60.0 ± 10.7 years, p = 0.030). Multivariate analysis (HR, 95% CI) revealed that age (1.042; 1.004-1.082) and duration of FD nontreatment (1.040; 1.003-1.078) were significant MACE risk factors in all patients. In males, age (1.080; 1.032-1.131), FD nontreatment duration (1.099; 1.048-1.152), and keratopathy (18.920; 4.174-85.749) were significant MACE risk factors in multivariate analysis. In females, the only significant MACE risk factor was a high Charlson comorbidity index score (1.795; 1.229-2.622). In conclusion, duration of FD nontreatment and keratopathy are significant MACE risk factors in males with FD. These findings suggest the importance of early initiation of FD-specific treatment and careful evaluation of keratopathy in males with FD.
RESUMO
Generalized linear mixed models are commonly used to describe relationships between correlated responses and covariates in medical research. In this paper, we propose a simple and easily implementable regularized estimation approach to select both fixed and random effects in generalized linear mixed model. Specifically, we propose to construct and optimize the objective functions using the confidence distributions of model parameters, as opposed to using the observed data likelihood functions, to perform effect selections. Two estimation methods are developed. The first one is to use the joint confidence distribution of model parameters to perform simultaneous fixed and random effect selections. The second method is to use the marginal confidence distributions of model parameters to perform the selections of fixed and random effects separately. With a proper choice of regularization parameters in the adaptive LASSO framework, we show the consistency and oracle properties of the proposed regularized estimators. Simulation studies have been conducted to assess the performance of the proposed estimators and demonstrate computational efficiency. Our method has also been applied to two longitudinal cancer studies to identify demographic and clinical factors associated with patient health outcomes after cancer therapies.
Assuntos
Neoplasias , Humanos , Modelos Lineares , Funções Verossimilhança , Simulação por Computador , Estudos LongitudinaisRESUMO
OBJECTIVE: To diagnose invasive pulmonary aspergillosis (IPA), galactomannan (GM) detection in serum or bronchoalveolar lavage fluid (BALF) is widely used. However, the utility of proximal airway GM test (from induced sputum or tracheal aspirate) has not been well elucidated. METHODS: In this retrospective cohort study, we evaluated the diagnostic performance of proximal airway GM in diagnosis of IPA including COVID-19 associated pulmonary aspergillosis (CAPA). Between January 2022 and January 2023, patients who had been tested for GM with clinical suspicion or for surveillance from any specimen (serum, induced sputum, tracheal aspirate, and BALF) were screened. IPA was diagnosed using EORTC/MSGERC criteria, and CAPA was diagnosed following the 2020 ECMM/ISHAM consensus criteria. RESULTS: Of 624 patients with GM results, 70 met the criteria for proven/probable IPA and 427 had no IPA. The others included possible IPA and chronic form of aspergillosis. The sensitivities and specificities of serum, proximal airway, and BALF GM for proven/probable IPA versus no IPA were 78.9% and 70.6%, 93.1% and 78.7%, and 78.6% and 91.0%, respectively. Areas under the receiver operating characteristic curve (AUCs) were 0.742 for serum GM, 0.935 for proximal airway GM, and 0.849 for BALF GM (serum GM vs proximal airway GM, p = 0.014; proximal airway GM vs BALF GM, p = 0.334; serum GM vs BALF GM, p = 0.286). CONCLUSION: This study demonstrates that the performance of GM test from non-invasive proximal airway samples is comparable or even better than those from serum and distal airway sample (BALF).