Impact of psoriasis on the risk of device-related infective endocarditis in patients with permanent pacemakers: a propensity-matched analysis.

BACKGROUND: Device-related infective endocarditis (IE) is associated with high mortality, resulting in a growing emphasis on identifying and managing comorbidities that increase the risk of IE in these patients. Psoriasis is increasingly being recognized as having multiple cardiovascular manifestations. However, little is known about the impact of psoriasis on IE risk in patients with permanent pacemakers (PPM). Our study aimed to assess whether psoriasis is associated with an increased risk of developing IE in patients with PPM. METHODS: The National Inpatient Sample database was utilized to extract patients with PPM. The presence of psoriasis stratified patients. Demographic and comorbidity data were collected. 1:10,000 propensity matching for IE risk factors was performed to examine independent associations between psoriasis and IE. RESULTS: Of 437,793 patients, 45 had psoriasis. Psoriasis patients had higher IE rates (4.4% vs. 0.6%; P < 0.01). On multivariate analysis, psoriasis was associated with a 7.2-fold high IE risk (OR: 7.2 [1.7-30.2]; P < 0.01). Post-match analysis showed an 8.3-fold IE risk in psoriasis patients (OR: 8.3 [2.0-34.4]; P < 0.001). CONCLUSION: Psoriasis was independently associated with elevated IE risk in patients with PPM. Further studies are required to corroborate these findings, which will have implications for IE prophylaxis.

Worsening of anemia increases the risks of complications and prolonged length of stay following revision total shoulder arthroplasty.

Background: There are no studies currently in the literature that assesses complications following revision total shoulder arthroplasty (TSA) in patients with varying severity of anemia. The purpose of this study was to determine the impact of preoperative anemia severity on postoperative complications following revision TSA. Methods: Patients undergoing revision TSA from 2013 to 2019 were queried in a national database. Based on previous studies' definitions of anemia, three subgroups were stratified: patients without anemia (hematocrit >36% for women, hematocrit >39% for men), patients with mild anemia (hematocrit 33% to 36% for women, hematocrit 33% to 39% for men) and patients with moderate to severe anemia (hematocrit <33% for both women and men). In this analysis, patient demographics, comorbidities, and postoperative complications were compared between the three groups. Results: Of 1559 total patients undergoing revision TSA, 1178 patients (75.6%) did not have anemia, 255 (16.3%) had mild anemia, and 126 (8.1%) had moderate/severe anemia. Following adjustment on multivariate analysis, patients with mild anemia were more likely to have postoperative transfusion and extended length of stay compared to non-anemic patients. Patients with moderate/severe anemia were at increased risk of postoperative transfusion, sepsis, extended length of stay, and reoperation compared to non-anemic patients. Discussion: From mild anemia to moderate/severe anemia, there was a stepwise increase in the risk of postoperative complications. Our study showed that there is clinical value in the preoperative correction of anemia for these patients as it relates to complications and hospital stay. Level of Evidence: III.

Heart failure - An unexplored risk factor for infective endocarditis after pacemaker implantation.

BACKGROUND: With the widespread use of permanent pacemakers (PPM), and increased mortality associated with pacemaker endocarditis, it is essential to evaluate comorbidities that could potentially increase the risk of infective endocarditis (IE). Heart failure (HF), a common comorbidity, has not been well studied as an independent risk factor for development of IE in individuals with PPM. METHODS: The US National Inpatient Sample database was used to sample individuals with PPM. Patients with concomitant implantable cardioverter defibrillator, acute heart failure, history of endocarditis, intravenous drug use, prosthetic heart valves, or central venous catheter infection were excluded. Propensity matching was performed to match patients with and without HF. Pre- and post-match logistic regression was performed to assess HF as an independent risk factor for IE. A subgroup analysis was performed comparing IE rates between patients with HF with reduced (HFrEF) vs preserved (HFpEF) ejection fraction. RESULTS: Out of 333,571 patients with PPM included in the study, 121,862 (37 %) had HF. HF patients were older and had a higher prevalence of females. All comorbidities except for dental disease and cancer were more prevalent in the HF group. Patients with HF were 1.30 times more likely to develop IE [OR: 1.30 (1.16-1.47); p < 0.001]. The two cohorts were then matched for age, gender, and 20 comorbidities using a 1:1 propensity score matching algorithm. After matching, HF was still independently associated with increased risk of IE [OR: 1.62 (1.36-1.93); p < 0.001]. In our sub-group analysis, HFrEF and HFpEF patients had similar IE rates. CONCLUSION: In PPM population, HF was associated with an increased risk of IE compared to those without HF. We hypothesize that HF being a low-flow and high-inflammatory state might have contributed to this increased risk. Larger studies are required to corroborate our findings and evaluate the need for antimicrobial prophylaxis for this population.

The calcium-clot connection: investigating the association between primary hyperparathyroidism and acute venous thromboembolism.

Primary hyperthyroidism (PHPT) is a relatively uncommon disease and leads to increased calcium levels. Ionized calcium, known as clotting Factor IV, may lead to overt coagulation cascade activation, increasing the risk of venous thromboembolism (VTE). National Inpatient Sample Database was used to sample individuals with primary hyperparathyroidism, and baseline demographics and comorbidities were collected using ICD-10 codes. Patients with missing data and age less than 18 were excluded. Moreover, patients with other types of hyperparathyroidism and risk factors for VTE, such as malignancy, thrombophilia, chronic kidney and liver disease, fractures, trauma, oral contraceptive/steroid use, and organ transplant, were excluded. Greedy propensity matching using R was performed to match patients with and without primary hyperparathyroidism on age, race, gender, and 10 other comorbidities, including chronic deep venous thromboembolism. Univariate analysis pre- and post-match were performed. Binary logistic regression was performed after matching to assess whether primary hyperparathyroidism was an independent risk factor for acute VTE. A p-value of < 0.05 was considered statistically significant. Out of 460,529 patients included in the study, 1114 (6.5%) had PHPT. Baseline comorbidities were more common in the PHPT group. On univariate analysis, patients with PHPT were more likely to have acute VTE (2.5% vs. 1.4%; p < 0.001). After 1:1 matching, PHPT patients were twice as likely to have Acute VTE. (OR: 2.1 [1.08-4.1]; p < 0.025). These findings suggest an association between PHPT and VTE, which should be further investigated to prevent the increasing incidence of VTE and its recurrence.

Machine learning: Predicting hospital length of stay in patients admitted for lupus flares.

BACKGROUND: Although rare, severe systemic lupus erythematosus (SLE) flares requiring hospitalization account for most of the direct costs of SLE care. New machine learning (ML) methods may optimize lupus care by predicting which patients will have a prolonged hospital length of stay (LOS). Our study uses a machine learning approach to predict the LOS in patients admitted for lupus flares and assesses which features prolong LOS. METHODS: Our study sampled 5831 patients admitted for lupus flares from the National Inpatient Sample Database 2016-2018 and collected 90 demographics and comorbidity features. Four machine learning (ML) models were built (XGBoost, Linear Support Vector Machines, K Nearest Neighbors, and Logistic Regression) to predict LOS, and their performance was evaluated using multiple metrics, including accuracy, receiver operator area under the curve (ROC-AUC), precision-recall area under the curve (PR- AUC), and F1-score. Using the highest-performing model (XGBoost), we assessed the feature importance of our input features using Shapley value explanations (SHAP) to rank their impact on LOS. RESULTS: Our XGB model performed the best with a ROC-AUC of 0.87, PR-AUC of 0.61, an F1 score of 0.56, and an accuracy of 95%. The features with the most significant impact on the model were "the need for a central line," "acute dialysis," and "acute renal failure." Other top features include those related to renal and infectious comorbidities. CONCLUSION: Our results were consistent with the established literature and showed promise in ML over traditional methods of predictive analyses, even with rare rheumatic events such as lupus flare hospitalizations.

Underutilization of left heart catheterization in kidney transplant patients presenting with non-ST segment elevation myocardial infarction.

Background: Cardiovascular disease (CVD) is the leading cause of mortality in kidney transplant (KT) patients. The perceived risk of contrast-induced nephropathy (CIN) may create a reluctance to perform coronary angiography in patients presenting with non-ST segment elevation myocardial infarction (NSTEMI). Methods: National Inpatient Sample (NIS) Database was used to sample individuals presenting with NSTEMI. Patients were stratified into KT and Non-KT cohorts. Outcomes included left heart catheterization rates, mortality, arrhythmias, acute kidney injury/acute renal failure (AKI/ARF), and extended length of hospital stay (ELOS) (>72 h). Propensity matching (1:1 ratio) and regression analyses were performed. Results: Out of 336,354 patients with NSTEMI, 742 patients were in the KT group. KT patients were less likely to have LHC relative to non-KT patients (22.0 % vs 18.3 %); a difference that persisted on post-match analysis (27.1 % vs 19.4 %). On pre-match analysis, KT transplant patients that underwent LHC had lower mortality (10.3 % vs 0.7 %), AKI/ARF (44.6 % vs 27.9 %), arrhythmias (30.4 % vs 20.6 %) and lower ELOS (58.6 % vs 41.9 %). Post-match, KT cohort patient that underwent LHC had lower arrhythmias (OR:0.60[0.38-0.96]), AKI/ARF (OR = 0.51[0.34-0.77]), ELOS (OR:0.49[0.34-0.73]). Conclusion: KT patients underwent LHC much less frequently than their non-KT counterparts for NSTEMI. Coronary angiography and subsequent revascularization were associated with a significant decrease in morbidity and mortality. This theorized risk of CIN should not outweigh the benefit of LHC in KT patients.

Pharmacological Treatment of Cognitive Symptoms in Major Depressive Disorder.

BACKGROUND: Cognitive dysfunction is a core transdiagnostic domain of Major Depressive Disorder (MDD) and is a principal determinant of functional recovery. However, it has been insufficiently targeted within the current therapeutic framework for MDD. OBJECTIVE: To highlight these unmet cognitive needs in MDD. METHOD: An article search was conducted using PubMed from inception to November 2016: Major Depressive Disorder (and/or variant) was cross-referenced with the following terms: antidepressants, augmentation, cognition, cognitive deficits, cognitive dysfunction, functional outcomes, mechanism of action, and treatment. Articles informed by observational studies, clinical trials, and review articles relevant to the discussion of cognition and cognitive impairment in MDD were included for review. Additional terms and citations previously not identified in the initial search were obtained from a manual review of article reference lists. RESULTS: Cognitive deficits in MDD are replicable, non-specific, and clinically significant. Abnormalities in the domains of learning/memory, executive function, attention, concentration, and processing speed are consistently reported. Only two antidepressants (i.e., duloxetine and vortioxetine) have established procognitive effects utilizing rigorous methodology in MDD. Most antidepressants improve cognitive function(s), but the extent to which they directly exert pro-cognitive effects is not yet understood. CONCLUSION: Cognitive dysfunction in MDD is a principal determinant of patient-reported outcomes (e.g., psychosocial function). Healthcare providers are encouraged to screen for cognitive dysfunction in MDD and familiarize themselves with the efficacy profiles of antidepressants on disparate cognitive domains.