Do‐Not‐Resuscitate Orders in Older Adults During Hospitalization: A Propensity Score–Matched Analysis

Effects of the nursing practice environment, nurse staffing, patient surveillance and escalation of care on patient mortality: A multi-source quantitative study

BACKGROUND

A favourable nursing practice environment and adequate nurse staffing have been linked to reduced patient mortality. However, the contribution of nursing care processes such as patient surveillance and escalation of care, on patient mortality is not well understood.

OBJECTIVE

The aim of this study was to investigate the effect of the nursing practice environment, nurse staffing, missed care related to patient surveillance and escalation of care on 30-day inpatient mortality.

DESIGN

A multi-source quantitative study including a cross-sectional survey of nurses, and retrospective data extracted from an audit of medical and admission records.

SETTING(S)

A large tertiary teaching hospital (600 beds) in metropolitan Sydney, Australia.

METHODS

Data on the nursing practice environment, nurse staffing and missed care were obtained from the nursing survey. Patient deterioration data and patient outcome data were collected from the medical and admission records respectively. Logistic regression models were used to examine the association between the nursing practice environment, patient deterioration and 30-day inpatient mortality accounting for clustering of episodes within patients using generalised estimating equations.

RESULTS

Surveys were completed by 304 nurses (84.5 % female, mean age 34.4 years, 93.4 % Registered Nurses) from 16 wards. Patient deterioration data was collected for 30,011 patient deterioration events and 63,847 admitted patient episodes of care. Each additional patient per nurse (OR = 1.22, 95 % CI = 1.04-1.43) and the presence of increased missed care for patient surveillance (OR = 1.13, 95 % CI = 1.03-1.23) were associated with higher risk of 30-day inpatient mortality. The use of a clinical emergency response system reduced the risk of mortality (OR = 0.82, 95 % CI = 0.76-0.89). A sub-group analysis excluding aged care units identified a 38 % increase in 30-day inpatient mortality for each additional patient per nurse (OR = 1.38, 95 % CI = 1.15-1.65). The nursing practice environment was also significantly associated with mortality (OR = 0.79, 95 % CI: 0.72-0.88) when aged care wards were excluded.

CONCLUSIONS

Patient mortality can be reduced by increasing nurse staffing levels and improving the nursing practice environment. Nurses play a pivotal role in patient safety and improving nursing care processes to minimise missed care related to patient surveillance and ensuring timely clinical review for deteriorating patients reduces inpatient mortality.

TWEETABLE ABSTRACT

Patient mortality can be reduced by improving the nursing practice environment & increasing the number of nurses so that nurses have more time to monitor patients. Investing in nurses results in lower mortality and better outcomes. #PatientSafety #NurseStaffing #WorkEnvironment #Mortality.

Disparities in end-of-life care for minoritized racial and ethnic patients during terminal hospitalizations in New York State

BACKGROUND

Racial and ethnic minorities often receive care at different hospitals than non-Hispanic white patients, but how hospital characteristics influence the occurrence of disparities at the end of life is unknown. The aim of this study was to determine if disparities in end-of-life care were present among minoritized patients during terminal hospitalizations, and if these disparities varied with hospital characteristics.

METHODS

We identified hospitalizations where a patient died in New York State, 2016-2018. Using multilevel logistic regression, we examined whether documented end-of-life care (do-not-resuscitate status (DNR), palliative care (PC) encounter) differed by race and ethnicity, and whether these disparities differed based on receiving care in hospitals with varying characteristics (Black or Hispanic-serving hospital; teaching status; bed size; and availability of specialty palliative care).

RESULTS

We identified 143,713 terminal hospitalizations in 188 hospitals. Across all hospitals, only Black patients were less likely to have a PC encounter (adjusted odds ratio (aOR) 0.83 [0.80-0.87]) or DNR status (aOR 0.91 [0.87-0.95]) when compared with non-Hispanic White patients, while Hispanic patients were more likely to have DNR status (aOR 1.07 [1.01-1.13]). In non-teaching hospitals, all minoritized groups had decreased odds of PC (aOR 0.80 [0.76-0.85] for Black, aOR 0.91 [0.85-0.98] for Hispanic, aOR 0.93 [0.88-0.98] for Others), while in teaching hospitals, only Black patients had a decreased likelihood of a PC encounter (aOR 0.88 [0.82-0.93]). Also, Black patients in a Black-serving hospitals were less likely to have DNR status (aOR 0.80 [0.73-0.87]). Disparities did not differ based on whether specialty PC was available (p = 0.27 for PC encounter, p = 0.59 for DNR status).

CONCLUSION

During terminal hospitalizations, Black patients were less likely than non-Hispanic White patients to have documented end-of-life care. This disparity appears to be more pronounced in non-teaching hospitals than in teaching hospitals.

Comprehensive geriatric assessment as an essential tool to register or update DNR codes in a tertiary care hospital

PURPOSE

To investigate the prevalence of Do not Resuscitate (DNR) code registration in patients with a geriatric profile admitted to Antwerp University Hospital, a tertiary care hospital in Flanders, Belgium, and the impact of comprehensive geriatric assessment (CGA) on DNR code registration.

PATIENTS AND METHODS

Retrospective analysis of a population of 543 geriatric patients (mean age 82.4 ± 5.19 years, 46.4% males) admitted to Antwerp University Hospital from 2018 to 2020 who underwent a CGA during admission. An association between DNR code registration status before and at hospital admission and age, gender, ethnicity, type of residence, clinical frailty score (CFS), cognitive and oncological status, hospital ward and stay on intensive care was studied. Admissions before and during the first wave of the pandemic were compared.

RESULTS

At the time of hospital admission, a DNR code had been registered for 66.3% (360/543) of patients. Patients with a DNR code at hospital admission were older (82.7 ± 5.5 vs. 81.7 ± 4.6 years, p = 0.031), more frail (CFS 5.11 ± 1.63 vs. 4.70 ± 1.61, p = 0.006) and less likely to be admitted to intensive care. During the hospital stay, the proportion of patients with a DNR code increased to 77% before and to 85.3% after CGA (p < 0.0001). Patients were consulted about and agreed with the registered DNR code in 55.8% and 52.1% of cases, respectively. The proportion of patients with DNR codes at the time of admission or registered after CGA did not differ significantly before and after the start of the COVID-19 pandemic.

CONCLUSION

After CGA, a significant increase in DNR registration was observed in hospitalized patients with a geriatric profile.

Characteristics and outcomes of patients with do-not-resuscitate and physician orders for life-sustaining treatment in a medical intensive care unit: a retrospective cohort study

BACKGROUND

In the intensive care unit (ICU), we may encounter patients who have completed a Do-Not-Resuscitate (DNR) or a Physician Orders to Stop Life-Sustaining Treatment (POLST) document. However, the characteristics of ICU patients who choose DNR/POLST are not well understood.

METHODS

We retrospectively analyzed the electronic medical records of 577 patients admitted to a medical ICU from October 2019 to November 2020, focusing on the characteristics of patients according to whether they completed DNR/POLST documents. Patients were categorized into DNR/POLST group and no DNR/POLST group according to whether they completed DNR/POLST documents, and logistic regression analysis was used to evaluate factors influencing DNR/POLST document completion.

RESULTS

A total of 577 patients were admitted to the ICU. Of these, 211 patients (36.6%) had DNR or POLST records. DNR and/or POLST were completed prior to ICU admission in 48 (22.7%) patients. The DNR/POLST group was older (72.9 ± 13.5 vs. 67.6 ± 13.8 years, p < 0.001) and had higher Acute Physiology and Chronic Health Evaluation (APACHE) II score (26.1 ± 9.2 vs. 20.3 ± 7.7, p < 0.001) and clinical frailty scale (5.1 ± 1.4 vs. 4.4 ± 1.4, p < 0.001) than the other groups. Solid tumors, hematologic malignancies, and chronic lung disease were the most common comorbidities in the DNR/POLST groups. The DNR/POLST group had higher ICU and in-hospital mortality and more invasive treatments (arterial line, central line, renal replacement therapy, invasive mechanical ventilation) than the other groups. Body mass index, APAHCE II score, hematologic malignancy, DNR/POLST were factors associated with in-hospital mortality.

CONCLUSIONS

Among ICU patients, 36.6% had DNR or POLST orders and received more invasive treatments. This is contrary to the common belief that DNR/POLST patients would receive less invasive treatment and underscores the need to better understand and include end-of-life care as an important ongoing aspect of patient care, along with communication with patients and families.

Peri-procedural code status for transcatheter aortic valve replacement: Absence of program policies and standard practices

BACKGROUND

Little is known about policies and practices for patients undergoing Transcatheter Aortic Valve Replacement (TAVR) who have a documented preference for Do Not Resuscitate (DNR) status at time of referral. We investigated how practices across TAVR programs align with goals of care for patients presenting with DNR status.

METHODS

Between June and September 2019, we conducted semi-structured interviews with TAVR coordinators from 52/73 invited programs (71%) in Washington and California (TAVR volume > 100/year:34%; 50-99:36%; 1-50:30%); 2 programs reported no TAVR in 2018. TAVR coordinators described peri-procedural code status policies and practices and how they accommodate patients' goals of care. We used data from the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry, stratified by programs' DNR practice, to examine differences in program size, patient characteristics and risk status, and outcomes.

RESULTS

Nearly all TAVR programs (48/50: 96%) addressed peri-procedural code status, yet only 26% had established policies. Temporarily rescinding DNR status until after TAVR was the norm (78%), yet time frames for reinstatement varied (38% <48 h post-TAVR; 44% 48 h-to-discharge; 18% >30 days post-discharge). For patients with fluctuating code status, no routine practices for discharge documentation were well-described. No clinically substantial differences by code status practice were noted in Society of Thoracic Surgeons Predicted Risk of Mortality risk score, peri-procedural or in-hospital cardiac arrest, or hospice disposition. Six programs maintaining DNR status recognized TAVR as a palliative procedure. Among programs categorically reversing patients' DNR status, the rationale for differing lengths of time to reinstatement reflect divergent views on accountability and reporting requirements.

CONCLUSIONS

Marked heterogeneity exists in management of peri-procedural code status across TAVR programs, including timeframe for reestablishing DNR status post-procedure. These findings call for standardization of DNR decisions at specific care points (before/during/after TAVR) to ensure consistent alignment with patients' health-related goals and values.

Hospital practices and clinical outcomes associated with behavioral symptoms in persons with dementia

BACKGROUND

Hospitalized persons living with dementia (PLWD) often experience behavioral symptoms that challenge medical care.

OBJECTIVE

This study aimed to identify clinical practices and outcomes associated with behavioral symptoms in hospitalized PLWD.

DESIGN

A retrospective cross-sectional study.

SETTINGS AND PARTICIPANTS

The study included PLWD (65+) admitted to one of severe health system hospitals in 2019.

INTERVENTION

Behavioral symptoms were defined as the presence of (1) a psychoactive medication for behavioral symptoms; (2) an order for physical restraints or constant observation; and/or (3) physician documentation of delirium, encephalopathy, or behavioral symptoms.

MAIN OUTCOME AND MEASURES

Associations between behavioral symptoms and patient characteristics and hospital practices (e.g., bladder catheter) were examined. Multivariable logistic/linear regression was used to evaluate the association between behavioral symptoms and clinical outcomes (e.g., mortality).

RESULTS

Of hospitalized PLWD (N = 8637), the average age was 84.5 years (IQR = 79-90), 61.7% were female, 60.1% were white, and 9.4% (n = 833) were Hispanic. Behavioral symptoms were identified in 40.6% (N = 3606) of individuals. Behavioral symptoms were significantly associated with male gender (40.3% vs. 36.9%, p = .001), white race (62.7% vs. 58.3%, p < .001), and residence in a facility prior to admission (26.6% vs. 23.7%, p < .001). Regarding hospital practices, indwelling bladder catheters (11.2% vs. 6.0%, p < .001) and dietary restriction (41.9% vs. 33.8%, p < .001) were associated with behavioral symptoms. In multivariable models, behavioral symptoms were associated with increased hospital mortality (odds ratio [OR]: 1.90, CI95%: 1.57-2.29), length of stay (parameter estimate: 2.10, p < .001), 30-day readmissions (OR: 1.14, CI95%: 1.014-1.289), and decreased discharge home (OR: 0.59, CI95%: 0.53-0.65, p < .001).

CONCLUSIONS

Given the association between behavioral symptoms and poor clinical outcomes, there is an urgent need to improve the provision of care for hospitalized PLWD.

Early DNR in Older Adults Hospitalized with SARS-CoV-2 Infection During Initial Pandemic Surge

The role of early Do Not Resuscitate (DNR) in hospitalized older adults (OAs) with SARS-CoV-2 infection is unknown. The objective of the study was to identify characteristics and outcomes associated with early DNR in hospitalized OAs with SARS-CoV-2. We conducted a retrospective chart review of older adults (65+) hospitalized with COVID-19 in New York, USA, between March 1, 2020, and April 20, 2020. Patient characteristics and hospital outcomes were collected. Early DNR (within 24 hours of admission) was compared to non-early DNR (late DNR, after 24 hours of admission, or no DNR). Outcomes included hospital morbidity and mortality. Of 4961 patients, early DNR prevalence was 5.7% (n = 283). Compared to non-early DNR, the early DNR group was older (85.0 vs 76.8, P < .001), women (51.2% vs 43.6%, P = .012), with higher comorbidity index (3.88 vs 3.36, P < .001), facility-based (49.1% vs 19.1%, P < .001), with dementia (13.3% vs 4.6%, P < .001), and severely ill on presentation (57.9% vs 32.3%, P < .001). In multivariable analyses, the early DNR group had higher mortality risk (OR: 2.94, 95% CI: 2.10-4.11), less hospital delirium (OR: 0.55, 95% CI: 0.40-.77), lower use of invasive mechanical ventilation (IMV, OR: 0.37, 95% CI: .21-.67), and shorter length of stay (LOS, 4.8 vs 10.3 days, P < .001), compared to non-early DNR. Regarding early vs late DNR, while there was no difference in mortality (OR: 1.12, 95% CI: 0.85-1.62), the early DNR group experienced less delirium (OR: 0.55, 95% CI: .40-.75), IMV (OR: 0.53, 95% CI: 0.29-.96), and shorter LOS (4.82 vs 10.63 days, OR: 0.35, 95% CI: 0.30-.41). In conclusion, early DNR prevalence in hospitalized OAs with COVID-19 was low, and compared to non-early DNR is associated with higher mortality but lower morbidity.

Exploring the Changes in Code Status During the COVID-19 Pandemic and the Implications for Future Pandemic Care

Objective: We aim to explore patterns of inpatient code status during the COVID-19 pandemic compared with a similar timeframe the previous year, as well as utilization of palliative care services.

Methods: This is a retrospective cohort study using data from the Montefiore Health system of all inpatient admissions between March 15-May 31, 2019 and March 15-May 31, 2020. Univariate logistic regression was performed with full code status as the outcome. All statistically significant variables were included in the multivariable logistic regression.

Results: The total number of admissions declined during the pandemic (16844 vs 11637). A lower proportion of patients had full code status during the pandemic (85.1% vs 94%, P < .001) at the time of discharge/death. There was a 20% relative increase in the number of palliative care consultations during the pandemic (12.2% vs 10.5%, P < .001). Intubated patients were less often full code (66.5% vs 82.2%, P < .001) during the pandemic. Although a lower portion of COVID-19 positive patients had a full code status compared with non-COVID patients (77.6% vs 92.4%, P<.001), there was no statistically significant difference in code status at death (38.3% vs 38.3%, P = .96).

Conclusions: The proportion of full code patients was significantly lower during the pandemic. Age and COVID status were the key determinants of code status during the pandemic. There was a higher demand for palliative care services during the pandemic.

The Impact of Do-Not-Resuscitate Order in the Emergency Department on Respiratory Failure after ICU Admission

(1) Background: It has been hypothesized that a discrepancy exists in the understanding of a do-not-resuscitate (DNR) order among physicians. We hypothesized that a DNR order signed in the emergency department (ED) could influence the patients’ prognosis after intensive care unit (ICU) admission. (2) Methods: We included patients older than 17 years, who visited the emergency department for non-traumatic disease, who had respiratory failure, required ventilator support, and were admitted to the ICU between January 2010 and December 2016. The associations between DNR and mortality, hospital length of stay (LOS), and medical fees were analyzed. Prolonged hospital LOS was defined as hospital stay ≥75th percentile (≥26 days for the study). Patients were classified as those who did and did not sign a DNR order. A 1:4 propensity score matching was conducted for demographics, comorbidities, and etiology. (3) Results: The study enrolled a total of 1510 patients who signed a DNR and 6040 patients who did not sign a DNR. The 30-day mortality rates were 47.4% and 28.0% among patients who did and did not sign a DNR, respectively. A DNR order was associated with mortality after adjusting for confounding factors (hazard ratio, 1.9; confidence interval, 1.70−2.03). It was also a risk factor for prolonged hospital LOS in survivors (odds ratio, 1.2; confidence interval, 1.02−1.44). Survivors who signed a DNR order were charged higher medical fees than those who did not sign a DNR (217,159 vs. 245,795 New Taiwan Dollars, p < 0.001). (4) Conclusions: Signing a DNR order in the ED increased the ICU mortality rate among patients who had respiratory failure and needed ventilator support. It increased the risk of prolonged hospital LOS among survivors. Finally, signing a DNR order was associated with high medical fees among survivors.

Advance Care Planning Documentation and Intensity of Care at the End of Life for Adults With Congestive Heart Failure, Chronic Kidney Disease, and Both Illnesses

CONTEXT

Heart failure (HF) and chronic kidney disease (CKD) are associated with high morbidity and mortality, especially in combination, yet little is known about the impact of these conditions together on end-of-life care.

OBJECTIVES

Compare end-of-life care and advance care planning (ACP) documentation among patients with both HF and CKD to those with either condition.

METHODS

We conducted a retrospective analysis of deceased patients (2010-2017) with HF and CKD (n = 1673), HF without CKD (n = 2671), and CKD without HF (n = 1706), excluding patients with cancer or dementia. We compared hospitalizations and intensive care unit (ICU) admissions in the last 30 days of life, hospital deaths, and ACP documentation >30 days before death.

RESULTS

39% of patients with HF and CKD were hospitalized and 33% were admitted to the ICU in the last 30 days vs. 30% and 28%, respectively, for HF, and 26% and 23% for CKD. Compared to patients with both conditions, those with only 1 were less likely to be admitted to the hospital [HF: adjusted odds ratio (aOR) 0.72, 95%CI 0.63-0.83; CKD: aOR 0.63, 95%CI 0.53-0.75] and ICU (HF: aOR 0.83, 95%CI 0.71-0.94; CKD: aOR 0.68, 95%CI 0.56-0.80) and less likely to have ACP documentation (aOR 0.53, 95%CI 0.47-0.61 and aOR 0.70, 95%CI 0.60-0.81).

CONCLUSIONS

Decedents with both HF and CKD had more ACP documentation and received more intensive end-of-life care than those with only 1 condition. These findings suggest that patients with co-existing HF and CKD may benefit from interventions to ensure care received aligns with their goals.

The intersection of prognostication and code status in patients with severe brain injury

Accurately estimating the prognosis of brain injury patients can be difficult, especially early in their course. Prognostication is important because it largely determines the care level we provide, from aggressive treatment for patients we predict could have a good outcome to withdrawal of treatment for those we expect will have a poor outcome. Accurate prognostication is required for ethical decision-making. However, several studies have shown that prognostication is frequently inaccurate and variable. Overly optimistic prognostication can lead to false hope and futile care. Overly pessimistic prognostication can lead to therapeutic nihilism. Overlapping is the powerful effect that cognitive biases, in particular code status, can play in shaping our perceptions and the care level we provide. The presence of Do Not Resuscitate orders has been shown to be associated with increased mortality. Based on a comprehensive search of peer-reviewed journals using a wide range of key terms, including prognostication, critical illness, brain injury, cognitive bias, and code status, the following is a review of prognostic accuracy and the effect of code status on outcome. Because withdrawal of treatment is the most common cause of death in the ICU, a clearer understanding of this intersection of prognostication and code status is needed.

Geriatrics-focused indicators predict mortality more than age in older adults hospitalized with COVID-19

BACKGROUND

Age has been implicated as the main risk factor for COVID-19-related mortality. Our objective was to utilize administrative data to build an explanatory model accounting for geriatrics-focused indicators to predict mortality in hospitalized older adults with COVID-19.

METHODS

Retrospective cohort study of adults age 65 and older (N = 4783) hospitalized with COVID-19 in the greater New York metropolitan area between 3/1/20-4/20/20. Data included patient demographics and clinical presentation. Stepwise logistic regression with Akaike Information Criterion minimization was used.

RESULTS

The average age was 77.4 (SD = 8.4), 55.9% were male, 20.3% were African American, and 15.0% were Hispanic. In multivariable analysis, male sex (adjusted odds ration (adjOR) = 1.06, 95% CI:1.03-1.09); Asian race (adjOR = 1.08, CI:1.03-1.13); history of chronic kidney disease (adjOR = 1.05, CI:1.01-1.09) and interstitial lung disease (adjOR = 1.35, CI:1.28-1.42); low or normal body mass index (adjOR:1.03, CI:1.00-1.07); higher comorbidity index (adjOR = 1.01, CI:1.01-1.02); admission from a facility (adjOR = 1.14, CI:1.09-1.20); and mechanical ventilation (adjOR = 1.52, CI:1.43-1.62) were associated with mortality. While age was not an independent predictor of mortality, increasing age (centered at 65) interacted with hypertension (adjOR = 1.02, CI:0.98-1.07, reducing by a factor of 0.96 every 10 years); early Do-Not-Resuscitate (DNR, life-sustaining treatment preferences) (adjOR = 1.38, CI:1.22-1.57, reducing by a factor of 0.92 every 10 years); and severe illness on admission (at 65, adjOR = 1.47, CI:1.40-1.54, reducing by a factor of 0.96 every 10 years).

CONCLUSION

Our findings highlight that residence prior to admission, early DNR, and acute illness severity are important predictors of mortality in hospitalized older adults with COVID-19. Readily available administrative geriatrics-focused indicators that go beyond age can be utilized when considering prognosis.

Factors associated with do-not-resuscitate document completion among patients hospitalized in geriatric ward

BACKGROUND

With a rapidly aging population, there is an increasing need for do-not-resuscitate (DNR) and advance care planning (ACP) discussions. This study investigated the factors associated with signing DNR documents of older patients in the geriatric ward.

METHODS

We conducted a retrospective cohort study at a geriatric ward in a tertiary hospital in Southern Taiwan. Three hundred and thirty-seven hospitalized older patients aged ≥65 years in the geriatric ward from 2018 to 2019. The Hospital Information System and electronic medical records were accessed to obtain details regarding patients' demographics, daily living activities, serum albumin level, nutrition screening score, intensive care unit transferal, resuscitation procedure, days of hospital stay, and survival status on discharge, and DNR status was recorded retrospectively. Patients were classified into DNR and non-DNR groups, with t-tests and Chi-square tests applied to compare the differences between groups. Logistic regression was performed to predict factors related to the DNR documents.

RESULTS

A total of 337 patients were included, 66 of whom had signed a DNR during hospitalization. After multivariate logistic regression, age 85 or more compared to age 65-74 (adjusted odds ratio, aOR 5.94), poor nutrition with screening score two or more (aOR 2.71), albumin level less than 3 (aOR 3.24), Charlson Comorbidity Index higher than 2 (aOR 2.46) and once transferred to ICU (aOR 5.11) were independently associated with DNR documentation during hospitalization.

CONCLUSIONS

Several factors related to DNR documents for geriatric patients were identified which could provide clinical information for physicians, patients, and their families to discuss DNR and ACP.

Patient Factors and Hospital Outcomes Associated With Atypical Presentation in Hospitalized Older Adults With COVID-19 During the First Surge of the Pandemic

Background

Literature indicates an atypical presentation of COVID-19 among older adults (OAs). Our purpose is to identify the frequency of atypical presentation and compare demographic and clinical factors, and short-term outcomes, between typical versus atypical presentations in OAs hospitalized with COVID-19 during the first surge of the pandemic.

Methods

Data from the inpatient electronic health record were extracted for patients aged 65 and older, admitted to our health systems’ hospitals with COVID-19 between March 1 and April 20, 2020. Presentation as reported by the OA or his/her representative is documented by the admitting professional and includes both symptoms and signs. Natural language processing was used to code the presence/absence of each symptom or sign. Typical presentation was defined as words indicating fever, cough, or shortness of breath; atypical presentation was defined as words indicating functional decline or altered mental status.

Results

Of 4 961 unique OAs, atypical presentation characterized by functional decline or altered mental status was present in 24.9% and 11.3%, respectively. Atypical presentation was associated with older age, female gender, Black race, non-Hispanic ethnicity, higher comorbidity index, and the presence of dementia and diabetes mellitus. Those who presented typically were 1.39 times more likely than those who presented atypically to receive intensive care unit–level care. Hospital outcomes of mortality, length of stay, and 30-day readmission were similar between OAs with typical versus atypical presentations.

Conclusion

Although atypical presentation in OAs is not associated with the same need for acute intervention as respiratory distress, it must not be dismissed.

Epidemiology and clinical characteristics of patients discharged from the ICU in a vegetative or minimally conscious state

Purpose

A significant percentage of patients are discharged from intensive care units (ICU) with disorders of counciousness (DoC). The aim of this retrospective, case-control study was to compare patients discharged from the ICU in a vegetative state (VS) or minimally conscious state (MCS) and the rest of ICU survivors, and to identify independent predictors of DoC among ICU survivors.

Methods

Data from 14,368 adult ICU survivors identified in a Silesian Registry of Intensive Care Units (active in the Silesian Region of Poland between October 2010 and December 2019) were analyzed. Patients discharged from the ICU in a VS or MCS were compared to the remaining ICU survivors. Pre-admission and admission variables that independently influence ICU discharge with DoC were identified.

Results

Among the 14,368 analyzed adult ICU survivors, 1,064 (7.4%) were discharged from the ICU in a VS or MCS. The percentage of patients discharged from the ICU with DoC was similar in all age groups. Compared to non- DoC ICU patients, they had a higher mean APACHE II and SAPS III score at admission. Independent variables affecting ICU discharge with DoC included unconsciousness at ICU admission, cardiac arrest and craniocerebral trauma as primary cause of ICU admission, as well as a history of previous chronic neurological disorders and cerebral stroke (p<0.001).

Conclusion

Discharge in a VS and MCS was relatively frequent among ICU survivors. Discharge with DoC was more likely among patients who were unconscious at admission and admitted to the ICU due to cardiac arrest or craniocerebral trauma.

Evaluating if an Advance Care Planning Intervention Promotes Do-Not-Resuscitate Orders by Facilitating Accurate Prognostic Awareness

BACKGROUND

Issuing do-not-resuscitate (DNR) orders has seldom been an outcome in randomized clinical trials of advance care planning (ACP) interventions. The aim of this study was to examine whether an ACP intervention facilitating accurate prognostic awareness (PA) for patients with advanced cancer was associated with earlier use of DNR orders.

PATIENTS AND METHODS

Participants (n=460) were randomly assigned 1:1 to the experimental and control arms, with 392 deceased participants constituting the final sample of this secondary analysis study. Participants in the intervention and control arms had each received an intervention tailored to their readiness for ACP/prognostic information and symptom-management education, respectively. Effectiveness in promoting a DNR order by facilitating accurate PA was determined by intention-to-treat analysis using multivariate logistic regression with hierarchical linear modeling.

RESULTS

At enrollment in the ACP intervention and before death, 9 (4.6%) and 8 (4.1%) participants and 168 (85.7%) and 164 (83.7%) participants in the experimental and control arms, respectively, had issued a DNR order, without significant between-arm differences. However, participants in the experimental arm with accurate PA were significantly more likely than participants in the control arm without accurate PA to have issued a DNR order before death (adjusted odds ratio, 2.264; 95% CI, 1.036-4.951; P=.041). Specifically, participants in the experimental arm who first reported accurate PA 31 to 90 days before death were significantly more likely than their counterparts in the control arm who reported accurate PA to have issued a DNR order in the next wave of assessment (adjusted odds ratio, 13.365; 95% CI, 1.989-89.786; P=.008). Both arms issued DNR orders close to death (median, 5-6 days before death).

CONCLUSIONS

Our ACP intervention did not promote the overall presence of a DNR order. However, our intervention facilitated the issuance of NDR orders before death among patients with accurate PA, especially those who reported accurate PA 31 to 90 days before death, but it did not facilitate the issuance of DNR orders earlier than their counterparts in the control arm.ClinicalTrial.gov Identification: NCT01912846.

Death and do-not-resuscitate order in the emergency department: A single-center three-year retrospective study in the Chinese mainland

BACKGROUND

Consenting to do-not-resuscitate (DNR) orders is an important and complex medical decision-making process in the treatment of patients at the end-of-life in emergency departments (EDs). The DNR decision in EDs has not been extensively studied, especially in the Chinese mainland.

METHODS

This retrospective chart study of all deceased patients in the ED of a university hospital was conducted from January 2017 to December 2019. The patients with out-of-hospital cardiac arrest were excluded.

RESULTS

There were 214 patients' deaths in the ED in the three years. Among them, 132 patients were included in this study, whereas 82 with out-of-hospital cardiac arrest were excluded. There were 99 (75.0%) patients' deaths after a DNR order medical decision, 64 (64.6%) patients signed the orders within 24 hours of the ED admission, 68 (68.7%) patients died within 24 hours after signing it, and 97 (98.0%) patients had DNR signed by the family surrogates. Multivariate analysis showed that four independent factors influenced the family surrogates' decisions to sign the DNR orders: lack of referral (odds ratio [OR] 0.157, 95% confidence interval [CI] 0.047-0.529, P=0.003), ED length of stay (ED LOS) ≥72 hours (OR 5.889, 95% CI 1.290-26.885, P=0.022), acute myocardial infarction (AMI) (OR 0.017, 95% CI 0.001-0.279, P=0.004), and tracheal intubation (OR 0.028, 95% CI 0.007-0.120, P<0.001).

CONCLUSIONS

In the Chinese mainland, the proportion of patients consenting for DNR order is lower than that of developed countries. The decision to sign DNR orders is mainly affected by referral, ED LOS, AMI, and trachea intubation.

Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates

IMPORTANCE

The Centers for Medicare and Medicaid Services's (CMS's) 30-day risk-standardized mortality rate (RSMR) and risk-standardized readmission rate (RSRR) models do not adjust for do-not-resuscitate (DNR) status of hospitalized patients and may bias Hospital Readmissions Reduction Program (HRRP) financial penalties and Overall Hospital Quality Star Ratings.

OBJECTIVE

To identify the association between hospital-level DNR prevalence and condition-specific 30-day RSMR and RSRR and the implications of this association for HRRP financial penalty.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study obtained patient-level data from the Medicare Limited Data Set Inpatient Standard Analytical File and hospital-level data from the CMS Hospital Compare website for all consecutive Medicare inpatient encounters from July 1, 2015, to June 30, 2018, in 4484 US hospitals. Hospitalized patients had a principal diagnosis of acute myocardial infarction (AMI), heart failure (HF), stroke, pneumonia, or chronic obstructive pulmonary disease (COPD). Incoming acute care transfers, discharges against medical advice, and patients coming from or discharged to hospice were among those excluded from the analysis.

EXPOSURES

Present-on-admission (POA) DNR status was defined as an International Classification of Diseases, Ninth Revision diagnosis code of V49.86 (before October 1, 2015) or as an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis code of Z66 (beginning October 1, 2015). Hospital-level prevalence of POA DNR status was calculated for each of the 5 conditions.

MAIN OUTCOMES AND MEASURES

Hospital-level 30-day RSMRs and RSRRs for 5 condition-specific cohorts (mortality cohorts: AMI, HF, stroke, pneumonia, and COPD; readmission cohorts: AMI, HF, pneumonia, and COPD) and HRRP financial penalty status (yes or no).

RESULTS

Included in the study were 4 884 237 inpatient encounters across condition-specific 30-day mortality cohorts (patient mean [SD] age, 78.8 [8.5] years; 2 608 182 women [53.4%]) and 4 450 378 inpatient encounters across condition-specific 30-day readmission cohorts (patient mean [SD] age, 78.6 [8.5] years; 2 349 799 women [52.8%]). Hospital-level median (interquartile range [IQR]) prevalence of POA DNR status in the mortality cohorts varied: 11% (7%-16%) for AMI, 13% (7%-23%) for HF, 14% (9%-22%) for stroke, 17% (9%-26%) for pneumonia, and 10% (5%-18%) for COPD. For the readmission cohorts, the hospital-level median (IQR) POA DNR prevalence was 9% (6%-15%) for AMI, 12% (6%-22%) for HF, 16% (8%-24%) for pneumonia, and 9% (4%-17%) for COPD. The 30-day RSMRs were significantly higher for hospitals in the highest quintiles vs the lowest quintiles of DNR prevalence (eg, AMI: 12.9 [95% CI, 12.8-13.1] vs 12.5 [95% CI, 12.4-12.7]; P < .001). The inverse was true among the readmission cohorts, with the highest quintiles of DNR prevalence exhibiting the lowest RSRRs (eg, AMI: 15.3 [95% CI, 15.1-15.5] vs 15.9 [95% CI, 15.7-16.0]; P < .001). A 1% absolute increase in risk-adjusted hospital-level DNR prevalence was associated with greater odds of avoiding HRRP financial penalty (odds ratio, 1.06; 95% CI, 1.04-1.08; P < .001).

CONCLUSIONS AND RELEVANCE

This cross-sectional study found that the lack of adjustment in CMS 30-day RSMR and RSRR models for POA DNR status of hospitalized patients may be associated with biased readmission penalization and hospital-level performance.

Transitioning to Comfort-Focused Care at the End of Life

Shared decision making requires the exchange of information from the patient and the surgeon (and ideally involves the expertise of the entire multidisciplinary team) to determine the medical and/or surgical treatment that best aligns with the patient's goals and values. Should the surgical patient wish to transition to end-of-life care, the transition to comfort-focused care is within the scope of practice for surgeons. Incorporating the expertise of other health care professionals is an important consideration for whole-patient care. Integrating primary palliative care into surgical practice can help mitigate unnecessary suffering and allow a smoother transition to comfort-focused care.