Kanwar, Amrit

Background We tested whether biologic age, as estimated by deficits, functional impairments, or Age‐Gap or their combination, provide improved estimation of cause‐specific death as compared with chronological age. Methods Cardiovascular and noncardiovascular deficits, functional impairments, and Age‐Gap were prospectively collected in 535 patients aged ≥55 years undergoing percutaneous coronary interventions between August 1, 2014, and March 31, 2018. Age‐Gap was calculated as the difference between chronological age and age estimated by artificial intelligence ECG using a convolutional neural network. The full biological age model included deficits, functional impairments, and Age‐Gap >2 SD. A multivariable reduced model with the least number of variables was also created to provide a comparable C index to the full model. Results The average chronological age was 72.1±9.5 years, and there were 68% of men. During a median follow‐up of 2.61 years, 124 (23%) patients died. There was a modest correlation between Age‐Gap and biological age ( r =0.28 [95% CI, 0.20–0.35]; P <0.001). When modeled with chronologic age as a covariate, Age‐Gap predicted all‐cause (hazard ratio [HR], 1.07 [95% CI, 1.04–1.10]; P <0.001) and cardiovascular (HR, 1.07 [95% CI, 1.04–1.11]; P <0.001) mortality. As compared with chronological age, the full biological age model noted significant improvement in the prediction of long‐term overall (95% CI, 0.65–0.78), cardiovascular (95% CI, 0.69–0.77), and noncardiovascular (95% CI, 0.55–0.86) mortality. In the reduced models, most prognostic information for noncardiovascular mortality (C index: 0.79) was obtained by subjective difficulty in performing tasks, whereas the deficit‐based estimation predicted cardiovascular mortality (C index: 0.72). Conclusions Estimated biological age from deficits and functional impairments was superior to chronological age in predicting long‐term cause‐specific mortality following percutaneous coronary interventions.

Introduction: We aim to elucidate the incidence of major complications related to right heart catheterization (RHC) and ascertain if there are unique risks with right ventricular biopsy. Methods: Diagnostic RHC procedures from 1/1/2002 through 12/31/2013 were identified using the clinical scheduling system at Mayo Clinic, Rochester. Major complications were identified through electronic records using International Classification of Diseases, Ninth Revision billing codes. All events were recorded and adjudicated. Analysis was performed on four separate patient categories (RHC/RV angiography alone, RV biopsy alone, multiple RHC procedures, and concurrent RHC/LHC procedures) and the overall group. Primary outcomes are described in Table 1. Outcomes were measured within 7 days of the procedure, except for death (same day events) and tricuspid regurgitation (variable time endpoints). Results: There were 17,696 RHC procedures (5,556 RHC/RV angiography, 3,846 RV biopsy alone, 776 multiple RHC procedures, and 7,518 combined RHC/LHC). Patient population had a mean age of 56.5 years (15.3) and was predominantly male (58.5%). Same-day death related to RHC procedure occurred in 1 procedure or 0.6 of 10,000 RHCs. There was no significant difference in the risk of complications across RHC procedure categories except for worsening tricuspid regurgitation, which was significantly (p<0.001) more prevalent with RV biopsy (392 cases, 6.0%) than without (136 cases, 1.2%). Conclusion: The incidence of major complications related to right heart catheterization is rare. Worsening tricuspid regurgitation is the most frequently identified change with a significantly higher prevalence with biopsies.

Introduction: Survivorship needs to be comprehensively evaluated amongst older adults. We examined follow-up mortality in patients referred to cardiac catheterization laboratory by prospectively examining frailty. Methods: Frailty in 923 patients ≥55 years was determined using Rockwood’s deficit index. The frailty deficit was based on symptoms, signs, disabilities, diseases, and laboratory measurements. The number of deficits was expressed as a proportion of the total measured deficits. Frailty index was grouped into <0.10 (control), 0.10-<0.20, 0.20-<0.30, 0.30+ and age- and gender-adjusted follow-up mortality was determined using a Cox proportional hazards model. Results: There were 180 (20%) with frailty index <0.10, 348 (38%) in 0.10-<0.20, 215 (23%) in 0.20-<0.30 and 177 (19%) with an index of 0.30 or higher. Patients with a frailty index of 0.30+ were significantly older than those with an index <0.10 (75 ± 10 vs 67 ± 8 years; p<0.001) and more likely to be women (50% vs 20%; p<0.001). Patients with frailty index ≥0.20 and ≥0.30 had a significantly higher mortality risk (HR 3.95, 95% CI 1.51-10.3 and HR: 10.3, 95% CI 4.11-25.7, respectively) on follow-up which remained significant following adjustment for age and gender (HR 3.20, 95% CI 1.21-8.45 and HR: 7.99, 95% CI 3.13-20.4). Conclusions: Among older adults refereed to catheterization laboratory, frailty deficit index predicts follow-up mortality.

Summary Background There are limited data on the influence of seasons on the outcomes of acute myocardial infarction-cardiac arrest (AMI-CA). Aim To evaluate the outcomes of AMI-CA by seasons in the United States Design Retrospective cohort study Methods Using the National Inpatient Sample from 2000 to 2017, adult (&gt;18 years) admissions with AMI-CA were identified. Seasons were defined by the month of admission as spring, summer, fall and winter. The outcomes of interest were prevalence of AMI-CA, in-hospital mortality, use of coronary angiography, percutaneous coronary intervention (PCI), hospital length of stay, hospitalization costs and discharge disposition. Results Of the 10 880 856 AMI admissions, 546 334 (5.0%) were complicated by CA, with a higher prevalence in fall and winter (5.1% each) compared to summer (5.0%) and spring (4.9%). Baseline characteristics of AMI-CA admissions admitted in various seasons were largely similar. Compared to AMI-CA admissions in spring, summer and fall, AMI-CA admissions in winter had slightly lower rates of coronary angiography (63.3–64.3% vs. 61.4%) and PCI (47.2–48.4% vs. 45.6%). Compared to those admitted in the spring, adjusted in-hospital mortality was higher for winter {46.8% vs. 44.2%; odds ratio (OR) 1.08 [95% confidence interval (CI) 1.06–1.10]; P &lt; 0.001}, lower for summer [43% vs. 44.2%; OR 0.97 (95% CI 0.95–0.98); P &lt; 0.001] and comparable for fall [44.4% vs. 44.2%; OR 1.01 (95% CI 0.99–1.03); P = 0.31] AMI-CA admissions. Length of hospital stay, total hospitalization charges and discharge dispositions for AMI-CA admissions were comparable across the seasons. Conclusions AMI-CA admissions in the winter were associated with lower rates of coronary angiography and PCI, and higher rates of in-hospital mortality compared to the other seasons.

Objectives: To determine the prevalence and relationship of frailty and health status measures among residents of long-term care [nursing homes (NH) and assisted living (AL)] facilities. Resident and methods: Residents ≥ 65 years who are residents of NH and AL facilities at La Crosse county, Wisconsin, were assessed for frailty (gait speed, unintended weight loss, and grip strength), comorbidity (Charlson index), and quality of life (QOL) [Short Form (SF)-36]. Results: Among 96 participants (57 from NH and 39 from AL), 78% were frail. The prevalence of frailty (77% vs. 79%), comorbidity (2.0 vs. 2.0), and poor health status did not differ between residents of NH and AL living facilities. Frail residents were older and had higher comorbidity index (2.0 vs. 0, p=0.02), including diabetes mellitus, hypertension, and heart failure. Frailty had the strongest correlation with the SF-36 Physical Component Score (r=-0.45), Figure. It exhibited weaker associations with comorbidity and the SF-36 Mental Component Score. Overall, SF-36 for physical component was lower among frail residents (33 vs. 48, p<0.001). Following adjustments by linear regression, compared to those without frailty, frail residents had lower adjusted quality of life scores. Conclusion: Frailty was highly prevalent among residents of long-term care facilities and did not differ between NH and AL facilities. We noted significant correlations between frailty, comorbid conditions, and poor quality of life.

Introduction: Relationship of QOL and frailty are poorly defined. Hypothesis: To study the prevalence and prognosis of poor QOL in frail patients. Methods: Predismissal standardized tests for frailty and QOL in 2 cohorts were administered. In cohort 1, 629 patients ≥ 65 years underwent percutaneous coronary intervention (PCI) from 2005-2008, frailty (Fried) and QOL [SF-36 and SAQ] were ascertained. Cohort 2 [921 patients, 535 PCI, ≥55 years] underwent cardiac catheterization from 2014-18, frailty (Rockwood) and QOL (Likert) were determined. Results: In cohort 1, 19%; and 20% in cohort 2 were frail. Lower median SAQ (58.9 vs. 82.2); physical (29.5 vs. 43.9) and mental (49.2 vs. 57.4) scores of SF-36 in cohort 1 higher rates of fair/poor health (56% vs 18%) in cohort 2 (all comparisons, p<0.001) was seen in frail patients. As compared to without, frail patients were 5 times more likely (59% vs. 11%, p<0.001) in cohort 1 and 7 times more likely (56% vs. 8%) in cohort 2 to have poor QOL. Adjusted three year all-cause death and death/myocardial infarction (MI) was significantly higher for patients undergoing PCI with frailty; [HR (95% CI) death, 4.20 (2.63, 6.68) and death or MI HR 2.72 (1.91, 3.87), p<0.001) and with poor QOL [HR death 2.47 (1.59, 3.84) and death or MI 1.61 (1.16, 2.24) p<0.001). There was no significant interaction between frailty and QOL (p=0.64) indicating their independent prognostic influence. Conclusions: Poor QOL is commonly seen with frailty. Both frailty and poor QOL had significant and independent association with long-term survival.

Abstract Aims We hypothesize that poor quality of life (QOL) is highly prevalent in frail older adults and is associated with worse prognosis. Methods and results Predismissal standardized tests for frailty and QOL were prospectively administered to patients included in two cohorts. In Cohort 1, 629 patients ≥65 years who underwent percutaneous coronary intervention (PCI) from 2005 to 2008, frailty (Fried criteria), and QOL [SF-36 and Seattle Angina Questionnaires (SAQ)] were ascertained. Cohort 2 included 921 patients ≥55 years who underwent cardiac catheterization (535 had PCI) from 2014 to 2018 and frailty was determined by Rockwood criteria and QOL by single-item, self-reported health questionnaire. In Cohort 1, 19% were frail and 20% patients in Cohort 2 were frail with a frailty index &gt;0.30. The median SAQ for physical limitation (58.9 vs. 82.2, P &lt; 0.001), physical (29.5 vs. 43.9, P &lt; 0.001), and mental (49.2 vs. 57.4, P &lt; 0.001) component scores of SF-36 in Cohort 1 were lower and self-rating of fair/poor health (56% vs 18%, P &lt; 0.001) in Cohort 2 was significantly higher in frail patients. As compared to patients without frailty, frail patients were five times more likely (59% vs. 11%, P &lt; 0.001) in Cohort 1 and seven times more likely (56% vs. 8%) in Cohort 2 to be classified with poor QOL. Age- and gender-adjusted 3-year all-cause death and death or myocardial infarction (MI) was significantly higher for patients undergoing PCI with frailty; [hazard ratio (95% confidence interval) death, 4.20 (2.63–6.68, P &lt; 0.001) and death or MI hazard ratio (HR) 2.72 (1.91–3.87, P &lt; 0.001)] and with poor QOL [HR death 2.47 (1.59–3.84, P &lt; 0.001)] and death or MI 1.61 (1.16–2.24, P &lt; 0.001). There was no significant interaction between frailty and QOL (P = 0.64) and only modest attenuation was observed when considered together indicating their independent prognostic influence. Conclusion In elderly patients undergoing cardiac catheterization or PCI, poor QOL is seen more frequently in frail patients. Both frailty and poor QOL had significant and independent association with long-term survival.

Background: We aim to study the incidence of major complications related to procedure defined as in-hospital death, myocardial infarction, stroke, pericardial effusion or tamponade, percutaneous coronary intervention due to iatrogenic coronary dissection, or unplanned bypass surgery within 72 hours after diagnostic left heart catheterization (LHC; primary end point). Furthermore, all causes of in-hospital death after LHC were adjudicated and reported (secondary end point). Methods and Results: Diagnostic LHC procedures (aortic angiography; coronary, including graft, angiography; and left ventricular angiography) from January 1, 2002, through December 31, 2013, were identified using the clinical scheduling system at Mayo Clinic, Rochester, and complications were identified through electronic records. International Classification of Diseases, Ninth Revision billing codes were used. Registration was queried to identify all-cause mortality. All events were reviewed and adjudicated. There were 43 786 diagnostic LHC procedures; 97.3% were coronary angiograms. The mean age of patients was 64.5 years (13.6), and the majority were male (61.5%). Primary end point was seen in 36 (0.082%) procedures or 8.2 of 10 000 LHCs. Combined right sided procedures with LHC did not increase the risk of major complications. Cardiogenic and septic shock, cardiac arrhythmia, and postsurgical complication were the most common causes of in-hospital death after LHC. Conclusions: The overall rates of major complications related to diagnostic cardiac catheterization procedures are extremely rare. The majority of the deaths occurring post-diagnostic LHC procedures were secondary to acute illness rather than directly related to diagnostic procedure.

Objectives: To determine the prevalence and relationship of frailty and health-related quality of life (HRQOL) among residents of long-term care [nursing homes (NH) and assisted living (AL)] facilities. Methods: Residents of NH and AL facilities in La Crosse County, Wisconsin, were recruited 1/2009-6/2010 and assessed for frailty (gait speed, unintended weight loss, grip strength), comorbidity (Charlson index), and HRQOL [Short Form (SF)-36]. Results: Among 137 participants, 85% were frail. Frail residents were older, had more comorbidities (2.0 vs. 0, p < .001) and lower mean SF-36 Physical Component Score (PCS, 32 vs. 48, p < .001). Following adjustments for age, sex, and comorbidities, compared to nonfrail residents, frail residents had lower SF-36 PCS (mean difference −14.7, 95% CI. −19.3,−10.1, p < .001). Frailty, comorbidity, and HRQOL did not differ between NH and AL facilities. Discussion: Frail residents had lower HRQOL, suggesting that preventing frailty may lead to better HRQOL among residents of long-term care facilities.