Assessment of Clinical Palliative Care Trigger Status vs Actual Needs Among Critically Ill Patients and Their Family Members.

Importance: Palliative care consultations in intensive care units (ICUs) are increasingly prompted by clinical characteristics associated with mortality or resource utilization. However, it is not known whether these triggers reflect actual palliative care needs. Objective: To compare unmet needs by clinical palliative care trigger status (present vs absent). Design, Setting, and Participants: This prospective cohort study was conducted in 6 adult medical and surgical ICUs in academic and community hospitals in North Carolina between January 2019 and September 2020. Participants were consecutive patients receiving mechanical ventilation and their family members. Exposure: Presence of any of 9 common clinical palliative care triggers. Main Outcomes and Measures: The primary outcome was the Needs at the End-of-Life Screening Tool (NEST) score (range, 0-130, with higher scores reflecting greater need), which was completed after 3 days of ICU care. Trigger status performance in identifying serious need (NEST score ≥30) was assessed using sensitivity, specificity, positive and negative likelihood ratios, and C statistics. Results: Surveys were completed by 257 of 360 family members of patients (71.4% of the potentially eligible patient-family member dyads approached) with a median age of 54.0 years (IQR, 44-62 years); 197 family members (76.7%) were female, and 83 (32.3%) were Black. The median age of patients was 58.0 years (IQR, 46-68 years); 126 patients (49.0%) were female, and 88 (33.5%) were Black. There was no difference in median NEST score between participants with a trigger present (45%) and those with a trigger absent (55%) (21.0; IQR, 12.0-37.0 vs 22.5; IQR, 12.0-39.0; P = .52). Trigger presence was associated with poor sensitivity (45%; 95% CI, 34%-55%), specificity (55%; 95% CI, 48%-63%), positive likelihood ratio (1.0; 95% CI, 0.7-1.3), negative likelihood ratio (1.0; 95% CI, 0.8-1.2), and C statistic (0.50; 95% CI, 0.44-0.57). Conclusions and Relevance: In this cohort study, clinical palliative care trigger status was not associated with palliative care needs and no better than chance at identifying the most serious needs, which raises questions about an increasingly common clinical practice. Focusing care delivery on directly measured needs may represent a more person-centered alternative.

Trends in Bare-Metal Stent Use in the United States in Patients Aged ≥65 Years (from the CathPCI Registry).

In 2006, the United States (US) Food and Drug Administration published advisory highlighting concerns for late drug-eluting stent thrombosis; its impact on US bare-metal stent (BMS) utilization is unknown. We examined rates of BMS use among Medicare patients at 946 US hospitals in the CathPCI Registry who underwent percutaneous coronary intervention (PCI) during 3 periods: (1) 2004 to 2006 preadvisory (n = 166,458); (2) 2007 to 2008 postadvisory (n = 216,318); and (3) 2012 to 2014 contemporary (n = 827,948). We examined predicted risks of target vessel revascularization and bleeding among BMS recipients by period. We compared 1-year repeat revascularization and death/myocardial infarction risks among BMS recipients immediately preadvisory and postadvisory. BMS were used in 15.8% of preadvisory, 40.9% of postadvisory, and 20.0% of contemporary PCI procedures. Although 19.5% of preadvisory BMS patients had a predicted target vessel revascularization risk ≥15%/year, this decreased to 16.7% postadvisory (p <0.001), and increased back to 18.7% among contemporary BMS recipients (p <0.001). In contrast, 12.3% of preadvisory BMS recipients had a predicted bleeding risk ≥5%/year, compared with 14.6% postadvisory (p <0.001), and 18.2% in contemporary BMS recipients (p <0.001). Postadvisory BMS recipients had a lower risk of repeat revascularization (12.8% vs 14.6%, adjusted hazard ratio 0.87, 95% CI 0.84 to 0.90) but no difference in the composite risk of death/myocardial infarction (15.9% vs 15.9%, adjusted hazard ratio 0.97, 95% CI 0.93 to 1.00). In conclusion, a surge in BMS use after the advisory was not associated with an increased risk of repeat revascularization or adverse outcomes in BMS-treated patients. One in 5 contemporary PCI procedures still involve BMS implantation.

FDT 2.0: Improving scalability of the fuzzy decision tree induction tool - integrating database storage.

Effective machine-learning handles large datasets efficiently. One key feature of handling large data is the use of databases such as MySQL. The freeware fuzzy decision tree induction tool, FDT, is a scalable supervised-classification software tool implementing fuzzy decision trees. It is based on an optimized fuzzy ID3 (FID3) algorithm. FDT 2.0 improves upon FDT 1.0 by bridging the gap between data science and data engineering: it combines a robust decisioning tool with data retention for future decisions, so that the tool does not need to be recalibrated from scratch every time a new decision is required. In this paper we briefly review the analytical capabilities of the freeware FDT tool and its major features and functionalities; examples of large biological datasets from HIV, microRNAs and sRNAs are included. This work shows how to integrate fuzzy decision algorithms with modern database technology. In addition, we show that integrating the fuzzy decision tree induction tool with database storage allows for optimal user satisfaction in today's Data Analytics world.