Proton pump inhibitors (PPIs), followed by histamine 2 receptor antagonists (H2RAs), are the most commonly used drugs to prevent gastrointestinal bleeding in critically ill patients through stress ulcer prophylaxis. The relative efficacy and drug-related adverse events of PPIs and H2RAs remain unclear. In this retrospective, observational, comparative cohort study, PPIs and H2RAs for stress ulcer prophylaxis in critically ill patients were compared using a common data model. After propensity matching, 935 patients from each treatment group (PPI or H2RA) were selected. The PPI group had a significantly higher 90-day mortality than the H2RA group (relative risk: 1.28; P = 0.01). However, no significant inter-group differences in the risk of clinically important gastrointestinal bleeding were observed. Moreover, there were no significant differences between the groups concerning the risk of pneumonia or Clostridioides difficile infection, which are known potential adverse events related to these drugs. Subgroup analysis of patients with high disease severity were consistent with those of the total propensity score-matched population. These findings do not support the current recommendations, which prefer PPIs for gastrointestinal bleeding prophylaxis in the intensive care unit.
Vertigo is one of the most common symptoms of patients in the emergency department (ED), being reported in approximately 2.5%-4% of all ED patients [1,2]. Amongst the various neurological or nonneurological medical disorders causing vertigo, stroke is reported in approximately 3%-4% [3,4], but its prevalence could vary from 0.7% to 27% depending on the population studied [4-6]. Individualized risk assessment, detailed oculomotor examination and the progress of modern neuroimaging techniques have substantially improved the diagnostic accuracy for stroke-related vertigo [7][8][9][10][11][12].Despite advances in current diagnostics, patients discharged from the ED with a diagnosis of peripheral vertigo are known to have an unignorable stroke risk [13][14][15][16]]. There may be three possible explanations for this risk. First, stroke after ED discharge may be due to a missed diagnosis of stroke that has already occurred [17,18].
Background Cancer staging information is an essential component of cancer research. However, the information is primarily stored as either a full or semistructured free-text clinical document which is limiting the data use. By transforming the cancer-specific data to the Observational Medical Outcome Partnership Common Data Model (OMOP CDM), the information can contribute to establish multicenter observational cancer studies. To the best of our knowledge, there have been no studies on OMOP CDM transformation and natural language processing (NLP) for thyroid cancer to date. Objective We aimed to demonstrate the applicability of the OMOP CDM oncology extension module for thyroid cancer diagnosis and cancer stage information by processing free-text medical reports. Methods Thyroid cancer diagnosis and stage-related modifiers were extracted with rule-based NLP from 63,795 thyroid cancer pathology reports and 56,239 Iodine whole-body scan reports from three medical institutions in the Observational Health Data Sciences and Informatics data network. The data were converted into the OMOP CDM v6.0 according to the OMOP CDM oncology extension module. The cancer staging group was derived and populated using the transformed CDM data. Results The extracted thyroid cancer data were completely converted into the OMOP CDM. The distributions of histopathological types of thyroid cancer were approximately 95.3 to 98.8% of papillary carcinoma, 0.9 to 3.7% of follicular carcinoma, 0.04 to 0.54% of adenocarcinoma, 0.17 to 0.81% of medullary carcinoma, and 0 to 0.3% of anaplastic carcinoma. Regarding cancer staging, stage-I thyroid cancer accounted for 55 to 64% of the cases, while stage III accounted for 24 to 26% of the cases. Stage-II and -IV thyroid cancers were detected at a low rate of 2 to 6%. Conclusion As a first study on OMOP CDM transformation and NLP for thyroid cancer, this study will help other institutions to standardize thyroid cancer–specific data for retrospective observational research and participate in multicenter studies.
Background Diabetes mellitus (DM) is a well-established risk factor for the progression of degenerative aortic stenosis (AS). However, no study has investigated the impact of glycemic control on the rate of AS progression. We aimed to assess the association between the degree of glycemic control and the AS progression, using an electronic health record-based common data model (CDM). Methods We identified patients with mild AS (aortic valve [AV] maximal velocity [Vpeak] 2.0–3.0 m/sec) or moderate AS (Vpeak 3.0–4.0 m/sec) at baseline, and follow-up echocardiography performed at an interval of ≥ 6 months, using the CDM of a tertiary hospital database. Patients were divided into 3 groups: no DM (n = 1,027), well-controlled DM (mean glycated hemoglobin [HbA1c] < 7.0% during the study period; n = 193), and poorly controlled DM (mean HbA1c ≥ 7.0% during the study period; n = 144). The primary outcome was the AS progression rate, calculated as the annualized change in the Vpeak (△Vpeak/year). Results Among the total study population (n = 1,364), the median age was 74 (IQR 65–80) years, 47% were male, the median HbA1c was 6.1% (IQR 5.6–6.9), and the median Vpeak was 2.5 m/sec (IQR 2.2–2.9). During follow-up (median 18.4 months), 16.1% of the 1,031 patients with mild AS at baseline progressed to moderate AS, and 1.8% progressed to severe AS. Among the 333 patients with moderate AS, 36.3% progressed to severe AS. The mean HbA1c level during follow-up showed a positive relationship with the AS progression rate (β = 2.620; 95% confidence interval [CI] 0.732–4.507; p = 0.007); a 1%-unit increase in HbA1c was associated with a 27% higher risk of accelerated AS progression defined as △Vpeak/year values > 0.2 m/sec/year (adjusted OR = 1.267 per 1%-unit increase in HbA1c; 95% CI 1.106–1.453; p < 0.001), and HbA1c ≥ 7.0% was significantly associated with an accelerated AS progression (adjusted odds ratio = 1.524; 95% CI 1.010–2.285; p = 0.043). This association between the degree of glycemic control and AS progression rate was observed regardless of the baseline AS severity. Conclusion In patients with mild to moderate AS, the presence of DM, as well as the degree of glycemic control, is significantly associated with accelerated AS progression.
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