Holmes, David R.

The application of artificial intelligence (AI) has provided new capabilities to develop advanced medical monitoring sensors for detection of clinical conditions of low circulating blood volume such as hemorrhage. The purpose of this study was to compare for the first time the discriminative ability of two machine learning (ML) algorithms based on real-time feature analysis of arterial waveforms obtained from a non-invasive continuous blood pressure system (Finometer®) signal to predict the onset of decompensated shock: the compensatory reserve index (CRI) and the compensatory reserve metric (CRM). One hundred ninety-one healthy volunteers underwent progressive simulated hemorrhage using lower body negative pressure (LBNP). The least squares means and standard deviations for each measure were assessed by LBNP level and stratified by tolerance status (high vs. low tolerance to central hypovolemia). Generalized Linear Mixed Models were used to perform repeated measures logistic regression analysis by regressing the onset of decompensated shock on CRI and CRM. Sensitivity and specificity were assessed by calculation of receiver-operating characteristic (ROC) area under the curve (AUC) for CRI and CRM. Values for CRI and CRM were not distinguishable across levels of LBNP independent of LBNP tolerance classification, with CRM ROC AUC (0.9268) being statistically similar (p = 0.134) to CRI ROC AUC (0.9164). Both CRI and CRM ML algorithms displayed discriminative ability to predict decompensated shock to include individual subjects with varying levels of tolerance to central hypovolemia. Arterial waveform feature analysis provides a highly sensitive and specific monitoring approach for the detection of ongoing hemorrhage, particularly for those patients at greatest risk for early onset of decompensated shock and requirement for implementation of life-saving interventions.

Introduction: Unsupervised machine learning (ML) can provide insight into a dataset without significant expert time for annotation and labeling, but was never used to assess the heterogeneous MitraClip population. Hypothesis: We hypothesized that unsupervised k-means ML could identify prognostically-distinct phenogroups in MitraClip patients without a priori knowledge of the dataset. Methods: Patients who underwent MitraClip (June 2014-September 2020) at Mayo Clinic sites were identified from the Mayo institutional NCDR database for baseline and follow-up data. Variables with ≥ 50% missing data were excluded. A k-means algorithm was used for clustering analysis. Input variables were grouped according to 4 distinct k-means determined clusters. Kaplan-Meier survival analysis was used to assess the survival of each cluster. Results: A total of 389 consecutive patients were included in the final analysis, and 95 unique variables were used. The mean age was 80.3±8.7 years; 256 (65.8%) were male. The mean STS MV Replace score was 9.1±5.7. Fifty-five (14.5%) patients died during the mean follow duration (185 days). Kaplan-Meier analysis showed significant survival differences among clusters (Figure 1). The cluster (cluster 2, n=120) with best survival performance (all-cause mortality 3.3%) had features of non-calcified mitral leaflets, nonischemic cardiomyopathy, and less than moderate tricuspid regurgitation. Cluster 3 (n=66) had the worst survival performance (all-cause mortality 27.3%) and opposite features than cluster 2. Conclusions: Unsupervised ML can identify distinct phenotype clusters with prognostic significance in MitraClip patients. Patients with non-calcified mitral leaflets, nonischemic cardiomyopathy, and less than moderate tricuspid regurgitation are intrinsically different from other MitraClip patients and should be considered the potential optimal candidates.

Introduction: The risk of stroke or transient ischemic attack (TIA) remains increased after transcatheter aortic valve replacement (TAVR), especially in the first 30 days. Limited data is available regarding the impact of procedural characteristics on risk of stroke/TIA. Hypothesis: Post deployment balloon dilatation (PD) and total number of balloon dilatations (pre, valve and post insertion) may be associated with increased risk of stroke/TIA in patients undergoing TAVR. Methods: We included consecutive patients who underwent balloon-expandable TAVR until June 2014 at Mayo Clinic, Rochester. Patients who died in the operating room, converted to open surgery, or had valve-in-valve, or underwent self-expanding TAVR were excluded. Primary end-point was stroke or TIA at 30 days. Results: Mean age was 80.9±8 y, mean STS score was 8.3±5 and 50% underwent transfemoral access. The overall incidence of PD was 14% (n=53). Total number of dilations ranged from 2-7, with 5% (n=19) getting ≥ 4 total dilatations. Out of the 370 patients, 13 patients (3.5%) suffered stroke/TIA (9.4% in PD group vs. 2.2% in non-PD group) in the first 30 days after TAVR. Cox-proportional hazards regression analysis indicated that PD during TAVR was associated with a significantly increased risk of 30-day stroke/TIA (HR, 3.8; 95% CI, 1.2-11.6; p=0.02). There was a trend towards increased stroke/TIA with total number of dilations (HR, 1.5; 95% CI, 0.87-2.6; p=0.14), longer procedural time (HR per 30 minutes, 1.3; 95% CI, 0.96-1.7; p=0.09) and severity of atherosclerosis (moderate-severe - HR, 1.9; 95% CI 0.95- 3.8; p=0.07). PD was not significantly associated with the risk of 30 day death (HR, 1.1; 95% CI, 0.24-4.85; p=0.93). Conclusions: In patients undergoing PD after balloon-expandable TAVR, 9.4% suffered a stroke or TIA in the first 30 days. PD was associated with a four-fold increase in 30 day risk of stroke or TIA.

Background: There are limited data on uninsured patients presenting with acute myocardial infarction-cardiogenic shock (AMI-CS). This study sought to compare the management and outcomes of AMI-CS between uninsured and privately insured individuals. Methods: Using the National Inpatient Sample (2000–2016), a retrospective cohort of adult (≥18 years) uninsured admissions (primary payer—self-pay or no charge) were compared with privately insured individuals. Interhospital transfers were excluded. Outcomes of interest included in-hospital mortality, temporal trends in admissions, use of cardiac procedures, do-not-resuscitate status, palliative care referrals, and resource utilization. Results: Of 402 182 AMI-CS admissions, 21 966 (5.4%) and 93 814 (23.3%) were uninsured and privately insured. Compared with private insured individuals, uninsured admissions were younger, male, from a lower socioeconomic status, had lower comorbidity, higher rates of acute organ failure, ST-segment elevation AMI-CS (77.3% versus 76.4%), and concomitant cardiac arrest (33.8% versus 31.9%; all P <0.001). Compared with 2000, in 2016, there were more uninsured (adjusted odds ratio, 1.15 [95% CI, 1.13–1.17]; P <0.001) and less privately insured admissions (adjusted odds ratio, 0.85 [95% CI, 0.83–0.87]; P <0.001). Uninsured individuals received less frequent coronary angiography (79.5% versus 81.0%), percutaneous coronary intervention (60.8% versus 62.2%), mechanical circulatory support (54% versus 55.5%), and had higher palliative care (3.8% versus 3.2%) and do-not-resuscitate status use (4.4% versus 3.2%; all P <0.001). Uninsured admissions had higher in-hospital mortality (adjusted odds ratio, 1.62 [95% CI, 1.55–1.68]; P <0.001) and resource utilization. Conclusions: Uninsured individuals have higher in-hospital mortality and lower use of guideline-directed therapies in AMI-CS compared with privately insured individuals.

AbstractBackgroundThough infrequent, incomplete left atrial appendage closure (LAAC) may result from residual leaks. Percutaneous closure has been described though data is limited.MethodsWe compiled a registry from four centers of patients undergoing percutaneous closure of residual leaks following LAAC via surgical means or with the Watchman device. Leak severity was classified as none (no leak), mild (1–2 mm), moderate (3–4 mm), or severe (≥5 mm). Procedural and clinical success was defined as the elimination of leak or mild residual leak at the conclusion of the procedure or follow‐up, respectively.ResultsOf 72 (age 72.2 ± 9.2 years; 67% male) patients, 53 had undergone prior LAAC using the Watchman device and 19 patients surgical LAAC. Mean CHADS2‐VA2Sc score was 4.0 ± 1.8. The median leak size was 5 mm, range: 2–13). A total of 13 received Amplatzer Vascular Plug‐II, 18 received Amplatzer Duct Occluder‐II and 40 patients received coils. One underwent closure using a 21 mm‐Watchman. Procedural success was 94%. Zero surgical and nine Watchman patients (13%) had a residual leak at procedural‐end (five mild, three moderate, and one severe)—only one patient had no reduction in leak size. Overall leak size reduction was 94%. Two (3%) had intraoperative pericardial effusion. There were no device embolizations, device‐related thrombi, or procedural deaths. Clinical success was maintained at 94%. Two had cerebrovascular accidents—at 2 days (transient ischemic attack) and 10 months postprocedure. Two had major bleeding outside the 30‐day periprocedural window.ConclusionPercutaneous closure of residual leaks following left atrial appendage closure is feasible and associated with good outcomes. The procedural risk appears to be satisfactory.

Abstract Background To describe response to therapy of small bowel (SB) Crohn’s disease (CD) at CT or MR enterography (CTE/MRE) in patients on vedolizumab. Methods Patients with SB CD who underwent CTE/MRE exams greater than 12 months apart on vedolizumab therapy were included. Length (in cm) and inflammation severity (EMBARK score) of inflamed SB segments were assessed. Changes in inflammation length of 3.4 cm or greater or inflammation severity of 2 EMBARK points or greater was categorized as response or progression, as appropriate, with development of newly inflamed segments, strictures, or penetrating complications also indicating progression. Patients not meeting the criteria for response or progression were categorized as having stable disease. Results Of 36 SB CD patients, the large majority had prior surgery (86%; 31), anti-TNF use (92%; 33), and internal penetrating (78%; 28) disease. Thirty-two patients had paired baseline and follow-up CTE/MRE exams without interval surgery, with clinical response observed in 24/32 (75%). Based on imaging response criteria, 22% (7/32; 95% CI: 9%–40%) had response, 50% (16/32; 95% CI: 32%–68%) were stable, and 28% (9/32; 95% CI: 14%–47%) had disease progression. Fifty-six percent of (18/32; 95% CI: 38%–74%) patients had clinical improvement with response or stable disease by imaging. Patients with stable disease had shorter median baseline lengths of SB inflammation (P = .012). Proportion of patients with colonic inflammation, perianal disease, or penetrating complications did not change. Conclusions Most patients on vedolizumab for over 12 months demonstrated response or stable SB disease when using objective cross-sectional radiologic imaging criteria using CTE/MRE.

Purpose To develop a standardized method for tibial tunnel volumetric bone mineral density (BMD) analysis with quantitative computed tomography (qCT) using cadaveric specimens to provide validation of this technique on a healthy control population and to determine whether osteopenia occurs following an anterior cruciate ligament (ACL) injury. Methods: qCT was used to develop a volumetric BMD (mg/cm 3 ) measurement technique throughout the region of a standard tibial tunnel. This method was applied to 90 lower extremities, including 10 matched cadaveric knees, 10 matched healthy knees, 25 ACL‐injured knees, and 25 contralateral ACL‐uninjured knees. The mean total and segmental (proximal, middle, and distal) tibial tunnel BMD were analyzed. Results The mean entire tibial tunnel BMD measured 165.8 ± 30.5 mg/cm 3 (cadaver), 255.9 ± 28.2 mg/cm 3 (healthy control), 290.3 ± 36.4 mg/cm 3 (ACL‐injured), and 300.1 ± 35.1 (ACL‐uninjured). Segmental tibial tunnel BMD demonstrated distal one‐third segments as the greatest areas of BMD, followed by proximal one‐third, and middle one‐third for all cohorts with all pairwise comparisons ( P < .001). The mean BMD was significantly greater in the uninjured extremity compared with the injured extremity in the entire tunnel (290.3 vs 300.1; P < .001), proximal (271.2 vs 279.1; P = .002), middle (167.6 vs 179.6; P < .001), and distal segments (432.7 vs 441.7; P = .004) at an average of 8 weeks following ACL injury. Conclusions A standardized method to quantitatively measure the volumetric BMD within the region of a standard tibial tunnel for ACL reconstruction was successfully developed and validated. Significant osteopenia of the injured knee occurs following ACL injury when compared with the contralateral uninjured knee. This observation has potential clinical implications for ACL graft tibial fixation and healing. Level of Evidence Descriptive diagnostic study, Level III.

Background Elderly patients have a higher burden of comorbidities that influence clinical outcomes. We aimed to compare in‐hospital outcomes in patients ≥80 years old to younger patients, and to determine the factors associated with increased risk of major adverse events (MAE) after left atrial appendage closure. Methods and Results The National Inpatient Sample was used to identify discharges after left atrial appendage closure between October 2015 and December 2018. The primary outcome was in‐hospital MAE defined as the composite of postprocedural bleeding, vascular and cardiac complications, acute kidney injury, stroke, and death. A total of 6779 hospitalizations were identified, of which, 2371 (35%) were ≥80 years old and 4408 (65%) were <80 years old. Patients ≥80 years old experienced a higher rate of MAE compared with those aged <80 years old (6.0% versus 4.6%, P =0.01), and this difference was driven by a numerically higher rate of cardiac complications (2.4% versus 1.8%, P =0.09) and death (0.3% versus 0.1%, P =0.05) among individuals ≥80 years old. In patients ≥80 years old, higher odds of in‐hospital MAE were observed in women (1.61‐fold), and those with preprocedural congestive heart failure (≈2‐fold), diabetes (≈1.5‐fold), renal disease (≈2.6‐fold), anemia (≈2.7‐fold), and dementia (≈5‐fold). In patients <80 years old, a higher risk of in‐hospital MAE was encountered among women (≈1.4‐fold) and those with diabetes (≈1.3‐fold), renal disease (≈2.6‐fold), anemia (≈2‐fold), and dyslipidemia (≈1.2‐fold). Conclusions Patients ≥80 years old had higher rates of in‐hospital MAE compared with patients aged <80 years old. Female sex and the presence of heart failure, diabetes, renal disease, and anemia were factors associated with in‐hospital MAE among both groups.