Examining lack of referrals to heart valve specialists as mechanisms of potential underutilization of aortic valve replacement.

BACKGROUND: Recent studies suggest that aortic valve replacement (AVR) remains underutilized. AIMS: Investigate the potential role of non-referral to heart valve specialists (HVS) on AVR utilization. METHODS: Patients with severe aortic stenosis (AS) between 2015 and 2018, who met class I indication for intervention, were identified. Baseline data and process-related parameters were collected to analyze referral predictors and evaluate outcomes. RESULTS: Among 981 patients meeting criteria AVR, 790 patients (80.5%) were assessed by HVS within six months of index TTE. Factors linked to reduced referral included increasing age (OR: 0.95; 95% CI: 0.94-0.97; P < .001), unmarried status (OR: 0.59; 95% CI: 0.43-0.83; P = .002) and inpatient TTE (OR: 0.27; 95% CI: 0.19-0.38; P < .001). Conversely, higher hematocrit (OR: 1.13; 95% CI: 1.09-1.16; P < .001) and eGFR (OR: 1.01; 95% CI: 1.00-1.02; P = .003), mean aortic valve gradient (OR: 1.03; 95% CI: 1.01-1.04; P < .001) and preserved LVEF (OR: 1.59; 95% CI: 1.02-2.48; P = .04), were associated with increased referral likelihood. Moreover, patients assessed by HVS referral as a time-dependent covariate had a significantly lower two-year mortality risk than those who were not (aHR: 0.30; 95% CI: 0.23-0.39; P < .001). CONCLUSION: A substantial proportion of severe AS patients meeting indications for AVR are not evaluated by HVS and experience markedly increased mortality. Further research is warranted to assess the efficacy of care delivery mechanisms, such as e-consults, and telemedicine, to improve access to HVS expertise.

Gout risk in adults with pre-diabetes initiating metformin.

OBJECTIVE: Despite the strong association between gout and pre-diabetes, the role of metformin in gout among individuals with pre-diabetes remains uncertain. We compared the incidence rates of gout in adults with pre-diabetes starting metformin with those not using antidiabetic treatments. METHODS: We conducted a new-user, propensity score-matched cohort study using electronic health records from an academic health system (2007-2022). Pre-diabetes was defined based on haemoglobin A1c levels. Metformin users were identified and followed from the first metformin prescription date. Non-users of antidiabetic medications were matched to metformin users based on propensity score and the start of follow-up. The primary outcome was incident gout. Cox proportional hazards models estimated the HR for metformin. Linear regression analyses assessed the association between metformin use and changes in serum urate (SU) or C-reactive protein (CRP). RESULTS: We identified 25 064 individuals with pre-diabetes and propensity score-matched 1154 metformin initiators to 13 877 non-users. Baseline characteristics were well balanced (all standardised mean differences <0.1). The median follow-up was 3.9 years. The incidence rate of gout per 1000 person-years was lower in metformin users 7.1 (95% CI 5.1 to 10) compared with non-users 9.5 (95% CI 8.8 to 10.2). Metformin initiation was associated with a reduced relative risk of gout (HR 0.68, 95% CI 0.48 to 0.96). No relationship was found between metformin and changes in SU or CRP. CONCLUSIONS: Metformin use was associated with a reduced risk of gout among adults with pre-diabetes, suggesting that metformin may be important in lowering gout risk in individuals with pre-diabetes.

Strong multiperiod forerunning light jet within a double-prism gap: a counterintuitive manifestation of causality.

We report on the effect of a strong and protracted advanced response in pulse transmission and reflection in a double-prism scheme. In distinction to the well-known activity on superluminal-like tunneling of an electromagnetic pulse through a gap of a double prism, we consider an optical pulse refracting to a gap and sliding therein. The formation of a multiperiod light jet running within the gap well before the incident pulse is shown with account of normal material dispersion and excitation of leaky modes in the gap. Conditions for the paradoxical appearance of the forerunning jet are revealed to have a geometrical nature with a specific relation between phase and group velocities involved. This deduction assigns the stated effect to the counterintuitive manifestation of causality with no reference to superluminal propagation.

Outcomes in patients with cardiometabolic disease who develop hyperkalemia while treated with a renin-angiotensin-aldosterone system inhibitor.

BACKGROUND: Many patients with indications for renin-angiotensin-aldosterone system inhibitor (RAASi) therapy are not receiving these medications. Concern about hyperkalemia is thought to contribute to this lack of evidence-based therapy. METHODS: A retrospective cohort study included adult patients in primary care practices affiliated with an integrated health care delivery system treated with RAASi between 2000 and 2019 for any of the following indications: (a) coronary artery disease (CAD); (b) heart failure (HF) with a left ventricle ejection fraction ≤ 40%; (c) diabetes mellitus (DM) with proteinuria; or (d) chronic kidney disease (CKD) with proteinuria. Relationship between hyperkalemia (K > 5.0 mEg/L) over the first 12 months of follow-up and a composite end point of cardiovascular events, renal dysfunction, and all-cause mortality was evaluated. RESULTS: Among 82,732 study patients, 7,727 (9.34%) developed hyperkalemia. Patients with hyperkalemia were older (69.0 vs 64.6) and more likely to have CAD (57.8 vs 53.7%), CKD (57.3 vs 51.1%), HF (19.3 vs 9.7%), and DM (45.3 vs 33.3%) (P < .001 for all). Five-year cumulative risk of the primary outcome was higher in patients who did (63.9%; 95% CI: 62.8%-65.1%) versus did not (37.2%; 95% CI: 36.8%-37.6%) develop hyperkalemia. Five-year cumulative risk of ED visit or hospitalization for hyperkalemia was 15.6% (14.7%-16.6%) for patients with versus 2.7% (95% CI: 2.6-2.9) for patients without hyperkalemia, rising to 25.9% (95% CI: 22.4-29.9) for patients with severe (K > 6.0 mEq/dL) hyperkalemia. Patients who experienced hyperkalemia were more likely (34.4%) than patients who did not (29.2%) to deintensify RAASi therapy (P < .001). Five-year cumulative risk of the primary outcome was higher in patients who lowered RAASi dose (50.4%; 95% CI: 48.5%-52.4%) or stopped RAASi therapy completely (49.3%; 95% CI: 48.5%-50.1%), compared to patients who continued RAASi therapy (36.1%; 95% CI: 25.7-36.5). Similar findings were observed in multivariable analyses and for individual components of the primary outcome. CONCLUSIONS: Hyperkalemia is a common complication of RAASi therapy and is associated with an increased risk of multiple adverse outcomes. Patients who have their RAASi medications deintensified after a hyperkalemic event have higher incidence of cardiovascular events, renal dysfunction and death.

Evaluating the clinical and mechanistic effects of eplerenone and amiloride monotherapy, and combination therapy with cinacalcet, in primary hyperparathyroidism: A placebo-controlled randomized trial.

OBJECTIVES: Human physiology and epidemiology studies have demonstrated complex interactions between the renin-angiotensin-aldosterone system, parathyroid hormone and calcium homeostasis. Several of these studies have suggested that aldosterone inhibition may lower parathyroid hormone (PTH) levels. The objective of this study was to assess the effect of 4 weeks of maximally tolerated mineralocorticoid receptor antagonist therapy with eplerenone on PTH levels in patients with primary hyperparathyroidism (P-HPT) when compared to amiloride and placebo. We also investigated the synergistic effect of these interventions when combined with cinacalcet for an additional 2 weeks. DESIGN: Randomized, double-blinded, three parallel-group, placebo-controlled trial. PATIENTS: Patients with P-HPT. RESULTS: Most patients were women (83%) and White (76%). Maximally tolerated doses of eplerenone and amiloride induced significant reductions in blood pressure and increases in renin and aldosterone production; however, despite these physiologic changes, neither intervention induced significant changes in PTH or calcium levels when compared to the placebo. Both eplerenone and amiloride therapy induced significant reductions in procollagen type 1 N-terminal propeptide levels when compared to placebo. When cinacalcet therapy was added, PTH and calcium levels were markedly reduced in all groups; however, there was no significant difference in PTH or serum calcium reductions between groups. CONCLUSIONS: Although maximally tolerated therapy with eplerenone and amiloride induced expected changes in renin, aldosterone and blood pressure, there were no meaningful changes in PTH or serum calcium levels in P-HPT patients. These results suggest that inhibition of aldosterone action does not have a clinically meaningful role in medical therapy for P-HPT.

Asymptomatic Diabetic Cardiomyopathy: an Underrecognized Entity in Type 2 Diabetes.

PURPOSE OF REVIEW: Type 2 diabetes (T2D) is associated with an increased risk of heart failure (HF), with diabetic cardiomyopathy (DbCM) referring to abnormal heart structure in the absence of other driving cardiac factors such as hypertension, coronary artery disease (CAD), and valvular heart disease. Stage B DbCM is commonly asymptomatic and represents a form of stage B HF; DbCM thus represents a transitional phenotype prior to onset of symptomatic HF. The pathogenesis of DbCM is not fully elucidated but involves hyperglycemia, insulin resistance, increased free fatty acids (FFA), lipotoxicity, oxidative stress, advanced glycation end product (AGE) formation, activation of the renin-angiotensin-aldosterone system (RAAS) with an increase in angiotensin II, and dyshomeostasis of calcium, which all contribute to left ventricular hypertrophy (LVH) and cardiac systolic and diastolic dysfunction. Although DbCM is an established pathogenic process, it is underrecognized clinically due to its commonly asymptomatic nature. Raising awareness to identify high-risk individuals with stage B HF due to DbCM, who may subsequently progress to overt HF (stage C/D HF), as well as identifying new pharmacological agents and approaches to prevent functional decline, may help reduce this global health problem. The aim of this review is to focus on stage B DbCM; provide data on diagnostic approaches, current therapies, and potential therapies under investigation; and highlight the need to raise awareness and interdisciplinary dialogue among clinicians and researchers. RECENT FINDINGS: There are no currently approved therapeutic strategies to treat or prevent progression of stage B DbCM, but multiple attempts are being made to target different pathogenic mechanisms involved in the development of DbCM. Recent cardiovascular (CV) outcome trials (CVOTs) have identified newer therapeutic agents with CV benefit, such as sodium-glucose cotransporter-2 (SGLT-2) inhibitors that reduce hospitalization for HF and glucagon-like peptide-1 (GLP-1) receptor agonists that reduce major adverse CV events (MACE), though without consistent effect on HF outcomes. Recent clinical practice guidelines recommend screening patients at high risk for HF. Further definition and interdisciplinary discussion of high-yield populations to screen, appropriate subsequent evaluation and intervention are needed to advance this area. DbCM is a complex entity that results from multiple pathogenic mechanisms triggered by impairment of glucose and lipid metabolism over many years. DbCM is commonly asymptomatic and represents a form of stage B HF. It is an underrecognized process that may progress to functional decline and overt HF. Although newer medications approved for the treatment of T2D may play an important role in reducing the risk of HF complications, less focus has been placed on earlier recognition and treatment of DbCM while asymptomatic. Additional efforts should be made to further study and target this stage in order to decrease the overall burden of HF.

Improving the prediction of long-term readmission and mortality using a novel biomarker panel.

OBJECTIVE: Several short-term readmission and mortality prediction models have been developed using clinical risk factors or biomarkers among patients undergoing coronary artery bypass graft (CABG) surgery. The use of biomarkers for long-term prediction of readmission and mortality is less well understood. Given the established association of cardiac biomarkers with short-term adverse outcomes, we hypothesized that 5-year prediction of readmission or mortality may be significantly improved using cardiac biomarkers. MATERIALS AND METHODS: Plasma biomarkers from 1149 patients discharged alive after isolated CABG surgery from eight medical centers were measured in a cohort from the Northern New England Cardiovascular Disease Study Group between 2004 and 2007. We assessed the added predictive value of a biomarker panel with a clinical model against the clinical model alone and compared the model discrimination using the area under the receiver operating characteristic (AUROC) curves. RESULTS: In our cohort, 461 (40%) patients were readmitted or died within 5 years. Long-term outcomes were predicted by applying the STS ASCERT clinical model with an AUROC of 0.69. The biomarker panel with the clinical model resulted in a significantly improved AUROC of 0.74 (p value <.0001). Across 5 years, the hazard ratio for patients in the second to fifth quintile predicted probabilities from the biomarker augmented STS ASCERT model ranged from 2.2 to 7.9 (p values <.001). CONCLUSIONS: We report that a panel of biomarkers significantly improved prediction of long-term readmission or mortality risk following CABG surgery. Our findings suggest biomarkers help clinical care teams better assess the long-term risk of readmission or mortality.

Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients.

OBJECTIVE: To comparatively evaluate a range of Natural Language Processing (NLP) approaches for Information Extraction (IE) of low-prevalence concepts in clinical notes on the example of decline of insulin therapy recommendation by patients. MATERIALS AND METHODS: We evaluated the accuracy of detection of documentation of decline of insulin therapy by patients using sentence-level naïve Bayes, logistic regression and support vector machine (SVM)-based classification (with and without SMOTE oversampling), token-level sequence labelling using conditional random fields (CRFs), uni- and bi-directional recurrent neural network (RNN) models with GRU and LSTM cells, and rule-based detection using Canary platform. All models were trained using the same manually annotated 50,046-document training set and evaluated on the same 1501-document held-out set. Hyperparameter optimization was performed using 10-fold cross-validation. RESULTS: At the sentence level, prevalence of documentation of decline of insulin therapy by patients was 0.02% in both training and held-out sets. Naïve Bayes and logistic regression models did not achieve F1 score ≥ 0.5 on the training set and were not further evaluated. Among the other models, evaluation against the held-out test set showed that SVM identified decline of insulin therapy by patients with F1 score of 0.61, CRF with F1 of 0.51, RNN with F1 of 0.67 and Canary rule-based model with F1 of 0.97. CONCLUSIONS: Identification of low-prevalence concepts can present challenges in medical language processing. Rule-based systems that include the designer's background knowledge of language may be able to achieve higher accuracy under these circumstances.

Effect of Preoperative Diabetes Management on Glycemic Control and Clinical Outcomes After Elective Surgery.

OBJECTIVE: The aim of this study was to evaluate whether preoperative diabetes management can improve glycemic control and clinical outcomes after elective surgery. BACKGROUND: There is lack of data on the importance of diabetes treatment before elective surgery. Diabetes is often ignored before surgery and aggressively treated afterwards. METHODS: Patients with diabetes were identified and treated proactively before their scheduled surgeries. Data for all elective surgeries over 2 years before and 2 years after implementation of the program were collected. RESULTS: Out of 31,392 patients undergoing first surgery, 3909 had diabetes; 2072 before and 1835 after the program. Mean blood glucose on the day of surgery was 146.4 ±â€Š51.9 mg/dL before and 139.9 ±â€Š45.6 mg/dL after the program (P = 0.0028). Proportion of patients seen by the inpatient diabetes team increased. Mean blood glucose during hospital stay was 166.7 ±â€Š42.9 mg/dL before and 158.3 ±â€Š46.6 mg/dL after program (P < 0.0001). The proportion of patients with hypoglycemic episodes (<50 mg/dL) was 4.93% before and 2.48% after the program (P < 0.0001). Length of hospital stay (LOS) decreased among patients with diabetes (4.8 ±â€Š5.3 to 4.6 ±â€Š4.3 days; P = 0.01) and remained unchanged among patients without diabetes (4.0 ±â€Š4.5 and 4.1 ±â€Š4.8, respectively; P = 0.42). Changes in intravenous antibiotic use, patients discharged to home, renal insufficiency, myocardial infarction, stroke, and in-hospital mortality were similar among diabetic and nondiabetic groups. CONCLUSIONS: Preoperative and inpatient diabetes management improves glycemic control on the day of surgery and postoperatively and decreases the incidence of hypoglycemia. These changes may eventually improve clinical outcomes. Although statistically significant, the decrease in LOS was of equivocal clinical significance in this study.

EXTERNAL VALIDATION OF THE DIABETES EARLY RE-ADMISSION RISK INDICATOR (DERRI™).

OBJECTIVE: The Diabetes Early Re-admission Risk Indicator (DERRI™) was previously developed and internally validated as a tool to predict the risk of all-cause re-admission within 30 days of discharge (30-day re-admission) of hospitalized patients with diabetes. In this study, the predictive performance of the DERRI™ with and without additional predictors was assessed in an external sample. METHODS: We conducted a retrospective cohort study of adult patients with diabetes discharged from two academic medical centers between January 1, 2000 and December 31, 2014. We applied the previously developed DERRI™, which includes admission laboratory results, sociodemographics, a diagnosis of certain comorbidities, and recent discharge information, and evaluated the effect of adding metabolic indicators on predictive performance using multivariable logistic regression. Total cholesterol and hemoglobin A1c (A1c) were selected based on clinical relevance and univariate association with 30-day re-admission. RESULTS: Among 105,974 discharges, 19,032 (18.0%) were followed by 30-day re-admission for any cause. The DERRI™ had a C-statistic of 0.634 for 30-day re-admission. Total cholesterol was the lipid parameter most strongly associated with 30-day re-admission. The DERRI™ predictors A1c and total cholesterol were significantly associated with 30-day re-admission; however, their addition to the DERRI™ did not significantly change model performance (C-statistic, 0.643 [95% confidence interval, 0.638 to 0.647]; P = .92). CONCLUSION: Performance of the DERRI™ in this external cohort was modest but comparable to other re-admission prediction models. Addition of A1c and total cholesterol to the DERRI™ did not significantly improve performance. Although the DERRI™ may be useful to direct resources toward diabetes patients at higher risk, better prediction is needed. ABBREVIATIONS: A1c = hemoglobin A1c; CI = confidence interval; DERRI™ = Diabetes Early Re-admission Risk Indicator; GEE = generalized estimating equation; HDL-C = high-density-lipoprotein cholesterol; ICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification; LDL-C = low-density-lipoprotein cholesterol.

Continued Statin Prescriptions After Adverse Reactions and Patient Outcomes: A Cohort Study.

BACKGROUND: Many patients discontinue statin treatment, often after having a possible adverse reaction. The risks and benefits of continued statin therapy after an adverse reaction are not known. OBJECTIVE: To examine the relationship between continuation of statin therapy (any prescription within 12 months after an adverse reaction) and clinical outcomes. DESIGN: Retrospective cohort study. SETTING: Primary care practices affiliated with 2 academic medical centers. PARTICIPANTS: Patients with a presumed adverse reaction to a statin between 2000 and 2011. MEASUREMENTS: Information on adverse reactions to statins was obtained from structured electronic medical record data or natural-language processing of narrative provider notes. The primary composite outcome was time to a cardiovascular event (myocardial infarction or stroke) or death. RESULTS: Most (81%) of the adverse reactions to statins were identified from the text of electronic provider notes. Among 28 266 study patients, 19 989 (70.7%) continued receiving statin prescriptions after the adverse reaction. Four years after the presumed adverse event, the cumulative incidence of the composite primary outcome was 12.2% for patients with continued statin prescriptions, compared with 13.9% for those without them (difference, 1.7% [95% CI, 0.8% to 2.7%]; P < 0.001). In a secondary analysis of 7604 patients for whom a different statin was prescribed after the adverse reaction, 2014 (26.5%) had a documented adverse reaction to the second statin, but 1696 (84.2%) of those patients continued receiving statin prescriptions. LIMITATIONS: The risk for recurrent adverse reactions to statins could not be established for the entire sample. It was also not possible to determine whether patients actually took the statins. CONCLUSION: Continued statin prescriptions after an adverse reaction were associated with a lower incidence of death and cardiovascular events. PRIMARY FUNDING SOURCE: Chinese National Key Program of Clinical Science, National Natural Science Foundation of China, and Young Scientific Research Fund of Peking Union Medical College Hospital.

Factors associated with rhythm control treatment decisions in patients with atrial fibrillation-Insights from the NCDR PINNACLE registry.

BACKGROUND: Decisions to use rhythm control in atrial fibrillation (AF) should generally be dictated by patient factors, such as quality of life, heart failure, and other comorbidities. Whether or not other factors affect decisions about the use of rhythm control, and catheter ablation in particular, is unknown. METHODS: A cohort of all patients diagnosed with nonvalvular AF were identified from the National Cardiovascular Data Registry's Practice Innovation and Clinical Excellence (PINNACLE) AF registry of US outpatient cardiology practices during the study period from May 1, 2008, to December 31, 2014. Overall and practice-specific rates of rhythm control (cardioversion, antiarrhythmic drug therapy, or catheter ablation) were assessed. We assessed patient and practice factors associated with rhythm control and determined the relative contribution of patient, practice, and unmeasured practice factors with its use. RESULTS: Among 511,958 PINNACLE AF patients, 22.3% were treated with rhythm control and 2.9% underwent catheter ablation. Significant practice variation in rhythm control was present (median rate of rhythm control across practices 22.8%, range 0.2%-62.9%). Significant patient factors associated with rhythm control therapy included white (vs nonwhite) race (odds ratio [OR] 2.43, P<.001), private (vs nonprivate) insurance (OR 1.04, P<.001), and whether a patient was seen by an electrophysiologist (OR 1.77, P<.001). In an analysis of the relative contribution of patient, practice, and unmeasured practice factors with rhythm control, the contribution of unmeasured practice factors (95% range OR 0.29-3.44) exceeded that of either patient (95% range OR 0.46-2.30) or practice (95% range OR 0.15-2.77) factors. CONCLUSIONS: One in 5 AF patients in the PINNACLE registry received rhythm control, and 1 in 50 received catheter ablation, suggesting that rhythm control may be underused. A variety of measured and unmeasured practice factors unrelated to patient characteristics play a disproportionate role in the use of rhythm control treatment decisions. Understanding the drivers of these decisions may identify inappropriate treatment variation and better inform optimal use of these therapies.

"Nonfunctional" Adrenal Tumors and the Risk for Incident Diabetes and Cardiovascular Outcomes: A Cohort Study.

BACKGROUND: Benign adrenal tumors are commonly discovered on abdominal imaging. Most are classified as nonfunctional and are considered to pose no health risk, but some are considered functional because they secrete hormones that increase risk for metabolic and cardiovascular diseases. OBJECTIVE: To evaluate the hypothesis that nonfunctional adrenal tumors (NFATs) increase risk for cardiometabolic outcomes compared with absence of adrenal tumors. DESIGN: Cohort study. SETTING: Integrated hospital system. PARTICIPANTS: Participants with benign NFATs ("exposed"; n = 166) and those with no adrenal tumor ("unexposed"; n = 740), with at least 3 years of follow-up. MEASUREMENTS: Medical records were reviewed from the time of abdominal imaging for development of incident outcomes (hypertension, composite diabetes [prediabetes or type 2 diabetes], hyperlipidemia, cardiovascular events, and chronic kidney disease) (mean, 7.7 years). Primary analyses evaluated independent associations between exposure status and incident outcomes by using adjusted generalized linear models. Secondary analyses evaluated relationships between NFATs and cortisol physiology. RESULTS: Participants with NFATs had significantly higher risk for incident composite diabetes than those without adrenal tumors (30 of 110 [27.3%] vs. 72 of 615 [11.7%] participants; absolute risk, 15.6% [95% CI, 6.9% to 24.3%]; adjusted risk ratio, 1.87 [CI, 1.17 to 2.98]). No significant associations between NFATs and other outcomes were observed. Higher "normal" postdexamethasone cortisol levels (≤50 nmol/L) were associated with larger NFAT size and higher prevalence of type 2 diabetes. LIMITATION: Potential bias in the selection of participants and ascertainment of outcomes. CONCLUSION: Participants with NFATs had a significantly higher risk for diabetes than those without adrenal tumors. These results should prompt a reassessment of whether the classification of benign adrenal tumors as "nonfunctional" adequately reflects the continuum of hormone secretion and metabolic risk they may harbor. PRIMARY FUNDING SOURCE: National Institutes of Health and Doris Duke Charitable Foundation.

Clinical risk factors for the development of hypertension in patients treated with inhibitors of the VEGF signaling pathway.

BACKGROUND: VEGF signaling pathway inhibitor (anti-VEGF) therapy is associated with hypertension, but little is known about predisposing clinical characteristics. This study describes the real-world association between baseline clinical characteristics, blood pressure (BP) response, and survival in patients prescribed anti-VEGF therapies. METHODS: Clinical data from Partners HealthCare in Massachusetts was obtained from adults treated with anti-VEGF therapies (2002-2013). Treatment-induced hypertensive response was defined as worsening of preexisting hypertension or new diagnosis of hypertension (if no prior hypertension history). RESULTS: Data from 1120 patients with renal cell carcinoma (32.2%), hepatocellular carcinoma (11.6%), gastrointestinal stromal tumors (12.5%), and other sarcomas (15.3%) were analyzed. Most patients received sunitinib (52%), sorafenib (25.9%), or pazopanib (18%). A treatment-induced hypertensive response was identified in 49.7% of treated patients. Preexisting hypertension, present in 65.4%, was an independent risk factor for BP elevation (odds ratio [OR], 1.56; 95% confidence interval [CI], 1.27-1.92); other risk factors included age ≥60 years (OR, 1.26; 95% CI, 1.06-1.52), and body mass index (BMI) ≥25 kg/m(2) (OR, 1.26; 95% CI, 1.04-1.53). Race, sex, anti-VEGF therapy prescribed, and baseline antihypertensive class were not significant risk factors. The absolute observed mean increase in BP was 21 mm Hg (systolic)/15 mm Hg (diastolic), both in patients with and without preexisting hypertension. The development of hypertension predicted improved survival (hazard ratio, 0.76; 95% CI, 0.65-0.89). CONCLUSIONS: Preexisting hypertension, age, and BMI identify patients at risk for significant anti-VEGF therapy-induced BP elevation. Hypertension appears to be a clinical biomarker of efficacy of anti-VEGF therapies in a broad range of malignancies.

Early Identification of Individuals with Poorly Controlled Diabetes Undergoing Elective Surgery: Improving A1C Testing in the Preoperative Period.

OBJECTIVE: To describe a process improvement strategy that increased the identification of individuals with poorly controlled diabetes (glycated hemoglobin [A1C] ≥8%) undergoing elective surgery at a major academic medical center and increased their access to specialist care. METHODS: An algorithm was developed to ensure A1C measurements were obtained as per the American Association of Clinical Endocrinologists/American Diabetes Association (AACE/ADA) guidelines. The diabetes management team worked collaboratively with anesthesiologists, surgeons, and preoperative nurse practitioners to improve the glycemic control of patients with an A1C ≥8%. RESULTS: Before implementing the program, A1C testing was recorded in 854 out of 2,335 (37%) patients with diabetes seen in the preoperative clinic from January 1, 2011 to December 31, 2012. The program was instituted in February 2013. From February 2013 to February 2014, A1C testing occurred in 1,236 out of 1,334 (93%) patients with diabetes. After excluding those scheduled for same day surgery, 228 patients were considered high risk with A1C ≥8%, and 175 were available for endocrine preoperative consultation. The program led to significant blood glucose level improvements on the day of surgery. CONCLUSION: A process improvement strategy to evaluate and treat diabetes in the preoperative period of elective surgery patients was implemented by a multidisciplinary team (endocrinologists, nurse practitioners, anesthesiologists, and surgeons) and resulted in a substantial improvements in obtaining A1C tests, access to specialist diabetes care, and glycemic control on the day of surgery. The impact of improved glycemic control on hospital and surgical outcomes needs further evaluation.

A numerical similarity approach for using retired Current Procedural Terminology (CPT) codes for electronic phenotyping in the Scalable Collaborative Infrastructure for a Learning Health System (SCILHS).

BACKGROUND: Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibility criteria for observational studies or clinical trials, require medical data in a consistent structured, coded format. Data heterogeneity limits such algorithms' applicability. Existing approaches are often: not widely interoperable; or, have low sensitivity due to reliance on the lowest common denominator (ICD-9 diagnoses). In the Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS) we endeavor to use the widely-available Current Procedural Terminology (CPT) procedure codes with ICD-9. Unfortunately, CPT changes drastically year-to-year - codes are retired/replaced. Longitudinal analysis requires grouping retired and current codes. BioPortal provides a navigable CPT hierarchy, which we imported into the Informatics for Integrating Biology and the Bedside (i2b2) data warehouse and analytics platform. However, this hierarchy does not include retired codes. METHODS: We compared BioPortal's 2014AA CPT hierarchy with Partners Healthcare's SCILHS datamart, comprising three-million patients' data over 15 years. 573 CPT codes were not present in 2014AA (6.5 million occurrences). No existing terminology provided hierarchical linkages for these missing codes, so we developed a method that automatically places missing codes in the most specific "grouper" category, using the numerical similarity of CPT codes. Two informaticians reviewed the results. We incorporated the final table into our i2b2 SCILHS/PCORnet ontology, deployed it at seven sites, and performed a gap analysis and an evaluation against several phenotyping algorithms. RESULTS: The reviewers found the method placed the code correctly with 97 % precision when considering only miscategorizations ("correctness precision") and 52 % precision using a gold-standard of optimal placement ("optimality precision"). High correctness precision meant that codes were placed in a reasonable hierarchal position that a reviewer can quickly validate. Lower optimality precision meant that codes were not often placed in the optimal hierarchical subfolder. The seven sites encountered few occurrences of codes outside our ontology, 93 % of which comprised just four codes. Our hierarchical approach correctly grouped retired and non-retired codes in most cases and extended the temporal reach of several important phenotyping algorithms. CONCLUSIONS: We developed a simple, easily-validated, automated method to place retired CPT codes into the BioPortal CPT hierarchy. This complements existing hierarchical terminologies, which do not include retired codes. The approach's utility is confirmed by the high correctness precision and successful grouping of retired with non-retired codes.

Quantifying a rare disease in administrative data: the example of calciphylaxis.

BACKGROUND: Calciphylaxis, a rare disease seen in chronic dialysis patients, is associated with significant morbidity and mortality. As is the case with other rare diseases, the precise epidemiology of calciphylaxis remains unknown. Absence of a unique International Classification of Diseases (ICD) code impedes its identification in large administrative databases such as the United States Renal Data System (USRDS) and hinders patient-oriented research. This study was designed to develop an algorithm to accurately identify cases of calciphylaxis and to examine its incidence and mortality. DESIGN, PARTICIPANTS, AND MAIN MEASURES: Along with many other diagnoses, calciphylaxis is included in ICD-9 code 275.49, Other Disorders of Calcium Metabolism. Since calciphylaxis is the only disorder listed under this code that requires a skin biopsy for diagnosis, we theorized that simultaneous application of code 275.49 and skin biopsy procedure codes would accurately identify calciphylaxis cases. This novel algorithm was developed using the Partners Research Patient Data Registry (RPDR) (n = 11,451 chronic hemodialysis patients over study period January 2002 to December 2011) using natural language processing and review of medical and pathology records (the gold-standard strategy). We then applied this algorithm to the USRDS to investigate calciphylaxis incidence and mortality. KEY RESULTS: Comparison of our novel research strategy against the gold standard yielded: sensitivity 89.2%, specificity 99.9%, positive likelihood ratio 3,382.3, negative likelihood ratio 0.11, and area under the curve 0.96. Application of the algorithm to the USRDS identified 649 incident calciphylaxis cases over the study period. Although calciphylaxis is rare, its incidence has been increasing, with a major inflection point during 2006-2007, which corresponded with specific addition of calciphylaxis under code 275.49 in October 2006. Calciphylaxis incidence continued to rise even after limiting the study period to 2007 onwards (from 3.7 to 5.7 per 10,000 chronic hemodialysis patients; r = 0.91, p = 0.02). Mortality rates among calciphylaxis patients were noted to be 2.5-3 times higher than average mortality rates for chronic hemodialysis patients. CONCLUSIONS: By developing and successfully applying a novel algorithm, we observed a significant increase in calciphylaxis incidence. Because calciphylaxis is associated with extremely high mortality, our study provides valuable information for future patient-oriented calciphylaxis research, and also serves as a template for investigating other rare diseases.

Increasing pneumococcal vaccination for immunosuppressed patients: a cluster quality improvement trial.

OBJECTIVE: Pneumococcal vaccination is important for patients taking immunosuppressive medications, but prior studies suggest that most patients do not undergo vaccination. The aim of this study was to evaluate the effects of a point-of-care paper reminder form as a quality improvement (QI) strategy to increase the numbers of immunosuppressed patients being kept up-to-date with pneumococcal vaccination in a rheumatology practice. METHODS: Selected rheumatologists at 5 ambulatory practice sites received a point-of-care paper reminder form to be applied to patients who were not up-to-date with pneumococcal vaccination. Interrupted time-series analyses were used to measure the effect of the intervention on the pneumococcal vaccination rates among patients, comparing the rates in the intervention group with those in a control group of rheumatologists who did not receive the intervention. Adjusted Cox proportional hazards models were examined to identify independent predictors of being up-to-date with pneumococcal vaccination. RESULTS: We evaluated a total of 3,717 patients (66.0% with rheumatoid arthritis) who were taking immunosuppressive medications (74.1% women, mean age 53.7 years). Rheumatologists who received the intervention had a significant increase in the rate of patients who were up-to-date with pneumococcal vaccination, from 67.6% to 80.0% (P=0.006), in the time period following the intervention, compared to a rate that remained stable, from 52.3% to 52.0% (P=0.90), among patients in the nonintervention control group during this same time period. In regression models, positive predictors of being up-to-date with pneumococcal vaccination at the patient level included the following: having received the intervention (hazard ratio [HR] 3.58, 95% confidence interval [95% CI] 2.46-5.20), having a primary care physician affiliated with Brigham and Women's Hospital (HR 1.68, 95% CI 1.44-1.97), having a diagnosis of diabetes mellitus (HR 1.57, 95% CI 1.02-2.41), and being age 56-65 years at baseline, compared to age≤45 years (HR 1.24, 95% CI 1.01-1.51). CONCLUSION: A QI strategy involving a simple point-of-care paper reminder form significantly increased the rate of being up-to-date with pneumococcal vaccination among patients receiving immunosuppressive medications in our rheumatology practices over a 6-month period.

Discontinuation of statins in routine care settings: a cohort study.

BACKGROUND: Systematic data on discontinuation of statins in routine practice of medicine are limited. OBJECTIVE: To investigate the reasons for statin discontinuation and the role of statin-related events (clinical events or symptoms believed to have been caused by statins) in routine care settings. DESIGN: A retrospective cohort study. SETTING: Practices affiliated with Brigham and Women's Hospital and Massachusetts General Hospital in Boston. PATIENTS: Adults who received a statin prescription between 1 January 2000 and 31 December 2008. MEASUREMENTS: Information on reasons for statin discontinuations was obtained from a combination of structured electronic medical record entries and analysis of electronic provider notes by validated software. RESULTS: Statins were discontinued at least temporarily for 57 292 of 107 835 patients. Statin-related events were documented for 18 778 (17.4%) patients. Of these, 11 124 had statins discontinued at least temporarily; 6579 were rechallenged with a statin over the subsequent 12 months. Most patients who were rechallenged (92.2%) were still taking a statin 12 months after the statin-related event. Among the 2721 patients who were rechallenged with the same statin to which they had a statin-related event, 1295 were receiving the same statin 12 months later, and 996 of them were receiving the same or a higher dose. LIMITATIONS: Statin discontinuations and statin-related events were assessed in practices affiliated with 2 academic medical centers. Utilization of secondary data could have led to missing or misinterpreted data. Natural-language-processing tools used to compensate for the low (30%) proportion of reasons for statin discontinuation documented in structured electronic medical record fields are not perfectly accurate. CONCLUSION: Statin-related events are commonly reported and often lead to statin discontinuation. However, most patients who are rechallenged can tolerate statins long-term. This suggests that many of the statin-related events may have other causes, are tolerable, or may be specific to individual statins rather than the entire drug class. PRIMARY FUNDING SOURCE: National Library of Medicine, Diabetes Action Research and Education Foundation, and Chinese National Key Program of Clinical Science.