Resilience, Survival and Functional Independence in Older Adults Facing Critical Illness.

BACKGROUND: Older adults surviving critical illness often experience new or worsening functional impairments. Modifiable positive psychological constructs, like resilience, may mitigate post-intensive care morbidity. RESEARCH QUESTION: Is pre-ICU resilience associated with: (1) post-ICU survival; (2) the drop in post-ICU functional independence; and (3) a lesser decline of independence before versus after the ICU? STUDY DESIGN AND METHODS: We performed a retrospective cohort study using Medicare-linked Health and Retirement Study surveys from 2006-2018. We included Older adults ≥65 years admitted to an ICU. We calculated resilience before ICU admission. The resilience measure was defined from the Simplified Resilience Score which was previously adapted and validated for the Health and Retirement Study. Resilience was scored using the leave-behind survey normalized to 0 (lowest resilience) to 12 (highest resilience) point scale. Outcomes were survival and probability of functional independence. We modeled survival using Gompertz models and independence using joint survival models adjusting for sociodemographic and clinical variables. We estimated average marginal effects to determine independence probabilities. RESULTS: Across 3,409 patients ≥65 years old admitted to ICUs, pre-existing frailty (30.5%) and cognitive impairment (24.3%) were common. Most patients were previously independent (82.7%). Mechanical ventilation occurred in 14.8% and sepsis in 43.2%. Highest versus lowest resilience had lower risk of post-ICU mortality (aHR 0.81 95% CI [0.70, 0.94]). Higher resilience was associated with greater likelihood in post-ICU independence (estimated probability of independence 5 years post-ICU in highest-to-lowest resilience: 0.53 CI 95% [0.33, 0.74], 0.47 [0.26, 0.68], 0.49 [0.28, 0.70], 0.36 [0.17, 0.55] p<0.01). Resilience was not associated with a difference in the drop of independence across resilience groups, nor a difference in declines of independence post-ICU. INTERPRETATION: ICU survivors with higher resilience had increased rates of survival and functional independence, though the slope of functional decline did not differ by resilience group pre- to post-ICU.

Trends in the Utilization of Multiorgan Support Among Adults Undergoing High-risk Cardiac Surgery in the United States.

OBJECTIVES: To examine trends in the prevalence of multiorgan dysfunction (MODS), utilization of multi-organ support (MOS), and mortality among patients undergoing cardiac surgery with MODS who received MOS in the United States. DESIGN: Retrospective cohort study. SETTING: 183 hospitals in the Premier Healthcare Database. PARTICIPANTS: Adults ≥18 years old undergoing high-risk elective or non-elective cardiac surgery. INTERVENTIONS: none. MEASUREMENTS AND MAIN RESULTS: The exposure was time (consecutive calendar quarters) January 2008 and June 2018. We analyzed hospital data using day-stamped hospital billing codes and diagnosis and procedure codes to assess MODS prevalence, MOS utilization, and mortality. Among 129,102 elective and 136,190 non-elective high-risk cardiac surgical cases across 183 hospitals, 10,001 (7.7%) and 21,556 (15.8%) of patients developed MODS, respectively. Among patients who experienced MODS, 2,181 (22%) of elective and 5,425 (25%) of non-elective cardiac surgical cases utilized MOS. From 2008-2018, MODS increased in both high-risk elective and non-elective cardiac surgical cases. Similarly, MOS increased in both high-risk elective and non-elective cardiac surgical cases. As a component of MOS, mechanical circulatory support (MCS) increased over time. Over the study period, risk-adjusted mortality, in patients who developed MODS receiving MOS, increased in high-risk non-elective cardiac surgery and decreased in high-risk elective cardiac surgery, despite increasing MODS prevalence and MOS utilization (p<0.001). CONCLUSIONS: Among patients undergoing high-risk cardiac surgery in the United States, MODS prevalence and MOS utilization (including MCS) increased over time. Risk-adjusted mortality trends differed in elective and non-elective cardiac surgery. Further research is necessary to optimize outcomes among patients undergoing high-risk cardiac surgery.

Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models.

BACKGROUND: Language in nonmedical data sets is known to transmit human-like biases when used in natural language processing (NLP) algorithms that can reinforce disparities. It is unclear if NLP algorithms of medical notes could lead to similar transmissions of biases. RESEARCH QUESTION: Can we identify implicit bias in clinical notes, and are biases stable across time and geography? STUDY DESIGN AND METHODS: To determine whether different racial and ethnic descriptors are similar contextually to stigmatizing language in ICU notes and whether these relationships are stable across time and geography, we identified notes on critically ill adults admitted to the University of California, San Francisco (UCSF), from 2012 through 2022 and to Beth Israel Deaconess Hospital (BIDMC) from 2001 through 2012. Because word meaning is derived largely from context, we trained unsupervised word-embedding algorithms to measure the similarity (cosine similarity) quantitatively of the context between a racial or ethnic descriptor (eg, African-American) and a stigmatizing target word (eg, nonco-operative) or group of words (violence, passivity, noncompliance, nonadherence). RESULTS: In UCSF notes, Black descriptors were less likely to be similar contextually to violent words compared with White descriptors. Contrastingly, in BIDMC notes, Black descriptors were more likely to be similar contextually to violent words compared with White descriptors. The UCSF data set also showed that Black descriptors were more similar contextually to passivity and noncompliance words compared with Latinx descriptors. INTERPRETATION: Implicit bias is identifiable in ICU notes. Racial and ethnic group descriptors carry different contextual relationships to stigmatizing words, depending on when and where notes were written. Because NLP models seem able to transmit implicit bias from training data, use of NLP algorithms in clinical prediction could reinforce disparities. Active debiasing strategies may be necessary to achieve algorithmic fairness when using language models in clinical research.

Futility in acute care surgery: first do no harm.

The consequences of the delivery of futile or potentially ineffective medical care and interventions are devastating on the healthcare system, our patients and their families, and healthcare providers. In emergency situations in particular, determining if escalating invasive interventions will benefit a frail and/or severely critically ill patient can be exceedingly difficult. In this review, our objective is to define the problem of potentially ineffective care within the specialty of acute care surgery and describe strategies for improving the care of our patients in these difficult situations.

Negativity and Positivity in the ICU: Exploratory Development of Automated Sentiment Capture in the Electronic Health Record.

OBJECTIVES: To develop proof-of-concept algorithms using alternative approaches to capture provider sentiment in ICU notes. DESIGN: Retrospective observational cohort study. SETTING: The Multiparameter Intelligent Monitoring of Intensive Care III (MIMIC-III) and the University of California, San Francisco (UCSF) deidentified notes databases. PATIENTS: Adult (≥18 yr old) patients admitted to the ICU. MEASUREMENTS AND MAIN RESULTS: We developed two sentiment models: 1) a keywords-based approach using a consensus-based clinical sentiment lexicon comprised of 72 positive and 103 negative phrases, including negations and 2) a Decoding-enhanced Bidirectional Encoder Representations from Transformers with disentangled attention-v3-based deep learning model (keywords-independent) trained on clinical sentiment labels. We applied the models to 198,944 notes across 52,997 ICU admissions in the MIMIC-III database. Analyses were replicated on an external sample of patients admitted to a UCSF ICU from 2018 to 2019. We also labeled sentiment in 1,493 note fragments and compared the predictive accuracy of our tools to three popular sentiment classifiers. Clinical sentiment terms were found in 99% of patient visits across 88% of notes. Our two sentiment tools were substantially more predictive (Spearman correlations of 0.62-0.84, p values < 0.00001) of labeled sentiment compared with general language algorithms (0.28-0.46). CONCLUSION: Our exploratory healthcare-specific sentiment models can more accurately detect positivity and negativity in clinical notes compared with general sentiment tools not designed for clinical usage.

Time is Short: Tools to Integrate Palliative Care and Communication Skills Education into Your Surgical Residency.

The need to integrate palliative care (PC) training into surgical education has been increasingly recognized. Our aim is to describe a set of PC educational strategies, with a range of requisite resources, time, and prior expertise, to provide options that surgical educators can tailor for different programs. Each of these strategies has been successfully employed individually or in some combination at our institutions, and components can be generalized to other training programs. Asynchronous and individually paced PC training can be provided using existing resources published by the American College of Surgeons and upcoming SCORE curriculum modules. A multiyear PC curriculum, with didactic components of increasing complexity for more advanced residents, can be applied based on available time in the didactic schedule and local expertise. Simulation-based training in PC skills can be developed to provide objective competency-based training. Finally, a dedicated rotation on a surgical palliative care service can provide the most immersive experience with steps toward clinical entrustment of PC skills for trainees.

Effect of Perioperative Palliative Care on Health-Related Quality of Life Among Patients Undergoing Surgery for Cancer: A Randomized Clinical Trial.

Importance: Involvement of palliative care specialists in the care of medical oncology patients has been repeatedly observed to improve patient-reported outcomes, but there is no analogous research in surgical oncology populations. Objective: To determine whether surgeon-palliative care team comanagement, compared with surgeon team alone management, improves patient-reported perioperative outcomes among patients pursuing curative-intent surgery for high morbidity and mortality upper gastrointestinal (GI) cancers. Design, Setting, and Participants: From October 20, 2018, to March 31, 2022, a patient-randomized clinical trial was conducted with patients and clinicians nonblinded but the analysis team blinded to allocation. The trial was conducted in 5 geographically diverse academic medical centers in the US. Individuals pursuing curative-intent surgery for an upper GI cancer who had received no previous specialist palliative care were eligible. Surgeons were encouraged to offer participation to all eligible patients. Intervention: Surgeon-palliative care comanagement patients met with palliative care either in person or via telephone before surgery, 1 week after surgery, and 1, 2, and 3 months after surgery. For patients in the surgeon-alone group, surgeons were encouraged to follow National Comprehensive Cancer Network-recommended triggers for palliative care consultation. Main Outcomes and Measures: The primary outcome of the trial was patient-reported health-related quality of life at 3 months following the operation. Secondary outcomes were patient-reported mental and physical distress. Intention-to-treat analysis was performed. Results: In total, 359 patients (175 [48.7%] men; mean [SD] age, 64.6 [10.7] years) were randomized to surgeon-alone (n = 177) or surgeon-palliative care comanagement (n = 182), with most patients (206 [57.4%]) undergoing pancreatic cancer surgery. No adverse events were associated with the intervention, and 11% of patients in the surgeon-alone and 90% in the surgeon-palliative care comanagement groups received palliative care consultation. There was no significant difference between study arms in outcomes at 3 months following the operation in patient-reported health-related quality of life (mean [SD], 138.54 [28.28] vs 136.90 [28.96]; P = .62), mental health (mean [SD], -0.07 [0.87] vs -0.07 [0.84]; P = .98), or overall number of deaths (6 [3.7%] vs 7 [4.1%]; P > .99). Conclusions and Relevance: To date, this is the first multisite randomized clinical trial to evaluate perioperative palliative care and the earliest integration of palliative care into cancer care. Unlike in medical oncology practice, the data from this trial do not suggest palliative care-associated improvements in patient-reported outcomes among patients pursuing curative-intent surgeries for upper GI cancers. Trial Registration: ClinicalTrials.gov Identifier: NCT03611309.

Utilization and Delivery of Specialty Palliative Care in the ICU: Insights from the Palliative Care Quality Network.

CONTEXT: Palliative care (PC) benefits critically ill patients but remains underutilized. Important to developing interventions to overcome barriers to PC in the ICU and address PC needs of ICU patients is to understand how, when, and for which patients PC is provided in the ICU. OBJECTIVES: Compare characteristics of specialty PC consultations in the ICU to those on medical-surgical wards. METHODS: Retrospective analysis of national Palliative Care Quality Network data for hospitalized patients receiving specialty PC consultation January 1, 2013 to December 31, 2019 in ICU or medical-surgical setting. 98 inpatient PC teams in 16 states contributed data. Measures and outcomes included patient characteristics, consultation features, process metrics and patient outcomes. Mixed effects multivariable logistic regression was used to compare ICU and medical-surgical units. RESULTS: Of 102,597 patients 63,082 were in medical-surgical units and 39,515 ICU. ICU patients were younger and more likely to have non-cancer diagnoses (all P < 0.001). While fewer ICU patients were able to report symptoms, most patients in both groups reported improved symptoms. ICU patients were more likely to have consultation requests for GOC, comfort care, and withdrawal of interventions and less likely for pain and/or symptoms (OR-all P < 0.001). ICU patients were less often discharged alive. CONCLUSION: ICU patients receiving PC consultation are more likely to have non-cancer diagnoses and less likely able to communicate. Although symptom management and GOC are standard parts of ICU care, specialty PC in the ICU is often engaged for these issues and results in improved symptoms, suggesting routine interventions and consultation targeting these needs could improve care.

Trends in Geriatric Conditions Among Older Adults Admitted to US ICUs Between 1998 and 2015.

BACKGROUND: Older adults are increasingly admitted to the ICU, and those with disabilities, dementia, frailty, and multimorbidity are vulnerable to adverse outcomes. Little is known about how pre-existing geriatric conditions have changed over time. RESEARCH QUESTION: How have changes in disability, dementia, frailty, and multimorbidity in older adults admitted to the ICU changed from 1998 through 2015? STUDY DESIGN AND METHODS: Medicare-linked Health and Retirement Survey (HRS) data identifying patients 65 years of age and older admitted to an ICU between 1998 and 2015. ICU admission was the unit of analysis. Year of ICU admission was the exposure. Disability, dementia, frailty, and multimorbidity were identified based on responses to HRS surveys before ICU admission. Disability represented the need for assistance with ≥ 1 activity of daily living. Dementia used cognitive and functional measures. Frailty included deficits in ≥ 2 domains (physical, nutritive, cognitive, or sensory function). Multimorbidity represented ≥ 3 self-reported chronic diseases. Time trends in geriatric conditions were modeled as a function of year of ICU admission and were adjusted for age, sex, race or ethnicity, and proxy interview status. RESULTS: Across 6,084 ICU patients, age at admission increased from 77.6 years (95% CI, 76.7-78.4 years) in 1998 to 78.7 years (95% CI, 77.5-79.8 years) in 2015 (P < .001 for trend). The adjusted proportion of ICU admissions with pre-existing disability rose from 15.5% (95% CI, 12.1%-18.8%) in 1998 to 24.0% (95% CI, 18.5%-29.6%) in 2015 (P = .001). Rates of dementia did not change significantly (P = .21). Frailty increased from 36.6% (95% CI, 30.9%-42.3%) in 1998 to 45.0% (95% CI, 39.7%-50.2%) in 2015 (P = .04); multimorbidity rose from 54.4% (95% CI, 49.2%-59.7%) in 1998 to 71.8% (95% CI, 66.3%-77.2%) in 2015 (P < .001). INTERPRETATION: Rates of pre-existing disability, frailty, and multimorbidity in older adults admitted to ICUs increased over time. Geriatric principles need to be deeply integrated into the ICU setting.