Medicine
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Multicenter Study
Fitness-for-use of Retrospective Multicenter Electronic Health Records to Conduct Outcome Analysis for Pediatric Ulcerative Colitis.
The use of electronic health records has garnered interest as an approach for conducting innovative outcome research and producing real-world evidence at a reduced cost compared to traditional clinical trials. The study aimed to evaluate the utility of deidentified EHR data from a multicenter research network to identify characteristics associated with treatment escalation (TE) in newly diagnosed pediatric ulcerative colitis patients. EHR data (01/2010-12/2021) from 13 Midwest healthcare systems (Greater Plains Collaborative) were collected for pediatric ulcerative colitis patients. ⋯ Common positive predictors for both TE and time-to-TE included a high monocyte proportion and elevated platelet counts. Conversely, BMI z-score, albumin, hemoglobin levels, and lymphocyte proportion were negatively associated with both TE and time-to-TE. This study demonstrates that multicenter EHR data can be used to identify a trial-comparable study sample of potentially larger size and to identify clinically meaningful endpoints for conducting outcome analysis and generating real-world evidence.
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In this study, we constructed and validated a scoring prediction model to identify children admitted to the pediatric intensive care unit (PICU) with community-acquired pneumonia (CAP) at risk for early death. Children with CAP who were admitted to the PICU were included in the training set and divided into death and survival groups according to whether they died within 30 days of admission. For univariate and multifactorial analyses, demographic characteristics, vital signs at admission, and laboratory test results were collected separately from the 2 groups, and independent risk factors were derived to construct a scoring prediction model. ⋯ When the score was ≥ 5 points, the sensitivity and specificity of mortality diagnosis in children with CAP were 72.7% and 87.5%, respectively. In the external validation set, the sensitivity, specificity, and accuracy of the scoring model for predicting the risk of CAP-related death were 64.0%, 92.4%, and 88.2%, respectively. Constructing a scoring prediction model is worth promoting and can aid pediatricians in simply and rapidly evaluating the risk of death in children with CAP, particularly those with complex conditions.
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The aim of this study was to compare survival outcomes of 3 different radical hysterectomy (RH) types, namely total abdominal radical hysterectomy (TARH), total laparoscopic radical hysterectomy (TLRH), and laparoscopy-assisted radical vaginal hysterectomy (LARVH), in patients with FIGO stage IB2 cervical cancer. We retrospectively identified a cohort of patients who underwent RH for cervical cancer between 2010 and 2017. Patients with stage IB2 cervical cancer were included and were classified into TARH, TLRH, and LARVH treatment groups. ⋯ Conversely, compared to the TARH group, 5-year progression-free survival (PFS) was significantly worse in the TLRH group (P = .034) but not in the LARVH group (P = .288). Multivariate analysis showed that TLRH surgical approach (hazard ratio, 3.232; 95% confidence interval, 1.238-8.438; P = .017) was an independent prognostic factor for PFS in patients with IB2 cervical cancer. Our study suggests that in patients with FIGO stage IB2 cervical cancer, among the minimally invasive RH approaches, TLRH and LARVH, only TLRH approach was associated with worse PFS when compared with the TARH approach.
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Multicenter Study
Nomogram model for predicting early recurrence for resectable pancreatic cancer: A multicenter study.
Pancreatic cancer is a highly aggressive malignancy that is characterized by early metastasis, high recurrence, and therapy resistance. Early recurrence after surgery is one of the important reasons affecting the prognosis of pancreatic cancer. This study aimed to establish an accurate preoperative nomogram model for predicting early recurrence (ER) for resectable pancreatic adenocarcinoma. ⋯ The preoperative risk factors for ER included a Charlson age-comorbidity index ≥ 4 (odds ratio [OR]: 0.628), tumor size > 3.0 cm on computed tomography (OR: 0.628), presence of clinical symptoms (OR: 0.515), carbohydrate antigen 19-9 > 181.3 U/mL (OR 0.396), and carcinoembryonic antigen > 6.01 (OR: 0.440). The area under the curve (AUC) of the predictive model in the training group was 0.711 (95% confidence interval: 0.669-0.752), while it reached 0.730 (95% CI: 0.663-0.797) in the validation group. The predictive model may enable the prediction of the risk of postoperative ER in patients with resectable pancreatic ductal adenocarcinoma, thereby optimizing preoperative decision-making for effective treatment.
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Multicenter Study Observational Study
Time interval of esomeprazole and dual antiplatelet therapy in patients with cardiocerebrovascular diseases.
Dual antiplatelet therapy (DAPT) with the combination of clopidogrel and aspirin is recommended for preventing secondary ischemic events in patients with acute coronary syndrome (ACS) or acute ischemic stroke (AIS). Proton pump inhibitors (PPIs) are suggested as preventive treatment for these patients. Due to clopidogrel-PPI interactions, separating their administration might be considered. ⋯ Additionally, there was no significant difference observed between the 2 groups for safety outcomes. This multicenter, prospective, observational study that enrolled patients with ACS or AIS demonstrated that there was no significant difference in the occurrence of MACCEs and bleeding issues within 6 months according to the medication administration interval. The majority of patients with DAPT were taking PPIs simultaneously in real-world practice.