Importance
After patients survive an in-hospital cardiac arrest, discussions should occur about prognosis and preferences for future resuscitative efforts.
Objective
To assess whether patients’ decisions for do-not-resuscitate (DNR) orders after a successful resuscitation from in-hospital cardiac arrest are aligned with their expected prognosis.
Design, Setting, and Participants
Within Get With The Guidelines–Resuscitation, we identified 26 327 patients with return of spontaneous circulation (ROSC) after in-hospital cardiac arrest between April 2006 and September 2012 at 406 US hospitals. Using a previously validated prognostic tool, each patient’s likelihood of favorable neurological survival (ie, without severe neurological disability) was calculated. The proportion of patients with DNR orders within each prognosis score decile and the association between DNR status and actual favorable neurological survival were examined.
Exposures
Do-not-resuscitate orders within 12 hours of ROSC.
Main Outcomes and Measures
Likelihood of favorable neurological survival.
Results
Overall, 5944 (22.6% [95% CI, 22.1%-23.1%]) patients had DNR orders within 12 hours of ROSC. This group was older and had higher rates of comorbidities (all P < .05) than patients without DNR orders. Among patients with the best prognosis (decile 1), 7.1% (95% CI, 6.1%-8.1%) had DNR orders even though their predicted rate of favorable neurological survival was 64.7% (95% CI, 62.8%-66.6%). Among patients with the worst expected prognosis (decile 10), 36.0% (95% CI, 34.2%-37.8%) had DNR orders even though their predicted rate for favorable neurological survival was 4.0% (95% CI, 3.3%-4.7%) (P for both trends <.001). This pattern was similar when DNR orders were redefined as within 24 hours, 72 hours, and 5 days of ROSC. The actual rate of favorable neurological survival was higher for patients without DNR orders (30.5% [95% CI, 29.9%-31.1%]) than it was for those with DNR orders (1.8% [95% CI, 1.6%-2.0%]). This pattern of lower survival among patients with DNR orders was seen in every decile of expected prognosis.
Conclusions and Relevance
Although DNR orders after in-hospital cardiac arrest were generally aligned with patients’ likelihood of favorable neurological survival, only one-third of patients with the worst prognosis had DNR orders. Patients with DNR orders had lower survival than those without DNR orders, including those with the best prognosis.
Quiz Ref IDDo-not-resuscitate (DNR) orders are often established for patients whose prognosis is poor. One such example is in-hospital cardiac arrest, which affects nearly 200 000 patients in the United States annually, with rates of favorable neurological survival (ie, survival without severe cognitive disability) of less than 20%.1 Accordingly, this poor prognosis frequently prompts discussions about DNR status among resuscitated patients and their families.2 However, the likelihood of favorable neurological survival is variably influenced by many factors, including patients’ age, illness severity, comorbidities, and arrest characteristics.3-7 It therefore remains unknown if real-world decisions for DNR orders after successful resuscitation from in-hospital cardiac arrest are aligned with patients’ likelihood of favorable neurological survival.
A critical challenge in making decisions about DNR status in this clinical setting has been the lack of a tool to quantify a patient’s prognosis after initial resuscitation from an in-hospital cardiac arrest. Recently, such a prognosis tool was developed and internally validated.8 Accordingly, to better understand current practice patterns for DNR decisions for in-hospital cardiac arrest, we used the multicenter Get With the Guidelines–Resuscitation registry to examine whether DNR orders after successful resuscitation from an in-hospital cardiac arrest occurred primarily in patients with a low likelihood of favorable neurological survival. Moreover, we explored whether patients with DNR orders had similar or lower hospitalization costs and lengths of stay after return of spontaneous circulation (ROSC) than did patients without DNR orders, even among those with a high likelihood of a good neurological outcome.
The institutional review board of the Mid-America Heart Institute approved this study and waived the requirement for informed consent.
Quiz Ref IDThe registry is a multicenter, observational database of in-hospital cardiac arrests among US hospitals that began in 2000, details of which have been published.9 Hospital participation in the registry is voluntary. In short, trained research personnel at each participating hospital identify and enroll all patients with in-hospital cardiac arrest, defined as unresponsiveness, apnea, and absence of a palpable central pulse, without prior DNR orders and who have undergone cardiopulmonary resuscitation (CPR). This is accomplished through multiple sources of case identification, including medical records, centralized cardiac arrest flow sheets, hospital paging-system logs, code cart checks, pharmacy tracer drug records, and hospital billing charges for use of resuscitation medications.5,9 Standardized data collection methods, including Utstein consensus definitions for all variables and outcomes, and strict oversight across all participating centers ensure accuracy, uniformity, and completeness of the data.7,10,11
Information on DNR status after ROSC was introduced into the data collection form in April 2006. Thus, the cohort consisted of adult patients who were 18 years or older with an in-hospital cardiac arrest between April 2006 and September 2012. To focus on patients who experienced cardiac arrest in either general inpatient or intensive care units, we excluded patients who had experienced in-hospital cardiac arrest in the emergency department, operating room, and procedural and postprocedural areas. For the purposes of this study, in which decisions about DNR status after ROSC were assessed, patients who died during the acute resuscitation, as well as patients from hospitals that did not routinely collect information on DNR status, were excluded. Additionally, patients were excluded if they had missing data on neurological status at discharge because this variable comprised one of the study outcomes. Patients for whom the time of DNR decision could not be calculated due to missing or implausible times were also excluded.
This study examined the relationship between DNR orders after initial resuscitation from in-hospital cardiac arrest and a patient’s likelihood of favorable neurological survival. Because many patients who eventually die have DNR orders closer to the time of their deaths and because this study examined whether DNR decisions were associated with prognosis, we defined DNR status—the independent variable—as a patient for whom a DNR order was placed within 12 hours after ROSC. Successfully resuscitated patients without DNR orders at any time during their admission or those with a DNR order placed more than 12 hours after ROSC were defined as patients without DNR status. In sensitivity analyses, DNR status was defined as within 24 hours, 72 hours, and 5 days after ROSC.
Favorable neurological survival was defined as survival to hospital discharge without severe neurological disability. Neurological disability in the database is measured by cerebral performance category scores, wherein a score of 1 denoted little to no neurological disability; 2, moderate disability; 3, severe disability; 4, coma or vegetative state; and 5, brain death. Based on prior work, favorable neurological survival was defined as survival to hospital discharge with a cerebral performance category score of 1 or 2.8,12 The dependent variable, likelihood of favorable neurological survival, was defined by each patient’s expected prognosis, described below.
Because of the large study sample size, baseline differences between patients with and without DNR orders were compared using standardized differences, which account for the large sample size of the compared groups. Based on prior work, a standardized difference of greater than 10% was considered a significant and meaningful difference.13
To evaluate whether a patient’s decision to have DNR orders was aligned with their prognosis, the discriminative accuracy of 4 prognosis risk scores for in-hospital cardiac arrest was first evaluated: (1) the prearrest morbidity (PAM) score,14 (2) the prognosis after resuscitation (PAR) score,15 (3) the cardiac arrest survival postresuscitation in-hospital (CASPRI) score,8 and (4) the good outcome following attempted resuscitation (GO-FAR) score.16 To accomplish this, 4 separate multivariable hierarchical logistic regression models were constructed to predict favorable neurological survival using the variables for each prognostic score. Two-level hierarchical models were used to account for clustering of patients within hospitals, with individual hospitals modeled as random effects and patient characteristics as fixed effects within each hospital.17,18 The C statistics from each model were then compared to determine which model had the highest discriminative accuracy. Because the CASPRI risk score had significantly higher discrimination than the 3 other prognosis scores (eTable 1 in the Supplement), subsequent analyses evaluating DNR decision making and prognosis primarily used the CASPRI risk score.
We then calculated each patient’s likelihood of favorable neurological survival using the CASPRI score.8 Briefly, this score was derived and validated using data from 42 957 patients in the Get With the Guidelines–Resuscitation database. A final parsimonious model with excellent discrimination (C statistic, 0.802) and calibration identified the following 11 significant predictors of favorable neurological survival among patients successfully resuscitated from an in-hospital cardiac arrest: age, initial cardiac arrest rhythm, prearrest neurological disability, hospital location of arrest, duration of cardiopulmonary resuscitation, requirement for mechanical ventilation at the time of cardiac arrest, and the presence of renal insufficiency, hepatic insufficiency, sepsis, malignant disease, and hypotension at the time of cardiac arrest. The CASPRI score was calculated for each patient by applying the model coefficients to each patient’s case-mix profile. CASPRI scores range from 0 to 50, with higher scores indicating a lower likelihood of favorable neurological survival. To assess the alignment of early decision making for DNR status with patients’ prognoses, the cohort was stratified into deciles of CASPRI score and rates of DNR orders as well as actual favorable neurological survival were examined within each CASPRI decile. As sensitivity analyses, the main analyses were repeated after redefining DNR orders as those made within 24 hours, 72 hours, and 5 days of ROSC. In addition, to examine whether DNR orders within the first 12 hours were surrogates for comfort care, the likelihood of an order for withdrawal of life-sustaining treatments at any time after ROSC was examined for patients with and without DNR orders. For exploratory analyses, we examined the length of hospital stay from the time of ROSC for patients with and without DNR orders, stratified by CASPRI decile. For the 9733 patients who were 65 years or older and linked to Medicare inpatient claims files using a probabilistic matching algorithm from our prior work,19,20 index hospitalization costs for patients with and without DNR orders were also compared. Hospitalization costs were obtained from the in-patient Medicare files and represented actual reimbursement of the index hospitalization paid to hospitals for each patient linked to Medicare claims data.
For all analyses, the null hypothesis was evaluated at a 2-sided significance level of .05 with 95% confidence intervals. All analyses were conducted using SAS statistical software version 9.1 (SAS Institute Inc) and R version 2.6.2.21
An initial 72 875 in-hospital cardiac arrest events from 459 hospitals were identified (Figure 1). Excluded were 13 286 patients with an in-hospital cardiac arrest in procedural or operative settings or the emergency department, 25 618 patients who died during the acute resuscitation, 1810 patients whose hospitals did not routinely collect information on DNR status, 1863 patients with missing data on neurological stagtus at discharge, and 3971 patients for whom the timing of DNR decisions could not be calculated. For the 8013 patients with missing data on DNR status or discharge neurological status (last 3 exclusions), there were no significant differences in baseline characteristics when compared with those of the study cohort (eTable 2 in Supplement). The final cohort included 26 327 patients from 406 hospitals who were successfully resuscitated after in-hospital cardiac arrest.
Overall, 5944 (22.6% [95% CI, 22.1%-23.1%]) had DNR orders within the first 12 hours after ROSC, while 20 383 (77.4% [95% CI, 76.9%-77.9%]) did not. Table 1 compares characteristics of patients with and without DNR orders. Patients with DNR orders were older, more frequently of white race, and were more likely to have baseline neurological disability (cerebral performance category, >1). In addition, they had higher rates of preexisting conditions including hypotension, respiratory insufficiency, renal insufficiency, hepatic insufficiency, metabolic or electrolyte abnormalities, and pneumonia. Patients with DNR orders after ROSC were more likely to have cardiac arrest rhythms associated with lower overall survival (eg, pulseless electrical activity) and longer resuscitation times.
Relationship Between DNR Status and Expected Prognosis
The rate of favorable neurological survival was 24.0% (95% CI, 23.5%-24.5%) among patients with ROSC. When patients were stratified by prognosis deciles, this rate was 64.7% (95% CI, 62.8%-66.6%) in decile 1 and decreased to 4.0% (95% CI, 3.3%-4.7%) in decile 10 (P for trend <.001; Table 2). The proportion of patients with DNR orders increased as prognosis worsened, from 7.1% (95% CI, 6.1%-8.1%) in decile 1 to 36.0% (95% CI, 34.2%-37.8%) in decile 10 (P for trend <.001). Of all patients in decile 10, 64.0% (95% CI, 62.2%-65.8%) did not have DNR orders after ROSC despite the decile’s 4% (95% CI, 3.3%-4.7%) rate for favorable neurological survival. Compared with patients in decile 1, patients in decile 10 were much older, had higher rates of comorbidities, and had markedly longer mean resuscitation times (20.3 vs 5.7 minutes) (eTable 3 in the Supplement). Moreover, the majority of patients in decile 10 (78.1% [95% CI, 76.5%-79.7%]) had severe neurological disability or worse prior to their cardiac arrest (25.7% [95% CI, 24.0%-27.4%] in a comatose state) compared with those in decile 1 (0.3% [95% CI, 0.01%-0.21%]).
In sensitivity analyses, there were an additional 1165 (4.4% [95% CI, 4.2%-4.6%]) patients with DNR orders between 12 and 24 hours, an additional 1779 (6.8% [95% CI, 6.5%-7.1%]) between 24 hours 3 days, and an additional 877 (3.3% [95% CI, 3.1%-3.5%]) between 3 and 5 days after ROSC, with no significant change in patterns of DNR decisions by patients’ prognosis (Figure 2). A similar pattern of low DNR rates in the highest-risk deciles emerged when the analyses were repeated using the PAM, PAR, and GO-FAR scores (eFigure 1 in the Supplement).
Relationship Between DNR Status and Actual Outcomes
Among patients with DNR orders after ROSC, 105 (1.8% [95% CI, 1.6%-2.0%]) had favorable neurological survival. Rates for this outcome remained relatively low regardless of CASPRI score decile, including those with a high predicted likelihood of favorable neurological survival (eg, 7.1% [95% CI, 6.1%-8.1%] for patients with DNR orders in decile 1; Table 2). In contrast, 6213 (30.5% [95% CI, 29.9%-31.1%]) of the 20 383 patients without DNR orders had favorable neurological survival, with substantially higher rates in the lower CASPRI deciles (eg, 69.1% [95% CI, 67.3%-70.9%] in decile 1 vs 6.3% [95% CI, 5.4%-7.2%] in decile 10).
Do-not-resuscitate orders were not surrogates for withdrawal of life-sustaining treatments. Only 47.5% (95% CI, 46.9%-48.1%) of patients with DNR orders placed within 12 hours of ROSC withdrew life-sustaining treatments at any time after ROSC (eTable 4 in the Supplement). Nevertheless, patients with DNR orders had shorter lengths of stay after ROSC and lower hospitalization costs than patients without DNR orders, regardless of prognosis risk (Table 3). There were no major differences in baseline neurological status, resuscitation duration, location of arrest, and most comorbidities between patients with and without DNR orders in deciles 1 and 10 to account for these large differences in resource use (eTable 5 in Supplement). Notably, hospitalization costs for patients with DNR orders in decile 1 were similar to those of decile 10 although only 0.4% (95% CI, 0.1%-0.6%) of patients with DNR orders in decile 1 had severe neurological disability or worse, as compared with 79.2% (95% CI, 77.7%-80.7%) in decile 10 (see Table 3).
Quiz Ref IDIn this national registry of in-hospital cardiac arrest, we found that DNR orders after successful resuscitation were generally aligned with patients’ likelihood for favorable neurological survival, with increasing rates of DNR orders as a patient’s likelihood to survive without neurological disability decreased. Nevertheless, almost two-thirds of patients with the worst prognosis did not have DNR orders, even though only 4.0% of patients within this decile had favorable neurological survival. Moreover, patients who had DNR orders despite a good prognosis had significantly lower survival and less resource use than patients without DNR orders who had a similar prognosis after ROSC. Our findings suggest that, while DNR orders after resuscitation from in-hospital cardiac arrest are correlated with expected prognosis, there may be opportunities to better align DNR decisions with patients’ prognosis.
Several studies have reported varied rates of DNR orders in patients with other disease conditions, such as 9% for acute myocardial infarction,22 13% to 22% for acute stroke,23,24 22% for community-acquired pneumonia,25 and 38% to 47% for initial survivors of out-of-hospital cardiac arrest.26,27 Although these prior studies reported overall rates of DNR orders, they did not assess whether code-status decision making was aligned with a patient’s prognosis. To our knowledge, this is the first study to analyze the association between DNR decision making and patients’ expected prognosis to better understand contemporary practice patterns.
Among patients with a low likelihood of favorable neurological survival after in-hospital cardiac arrest, our findings highlight the potential to improve DNR decision making. Because 78% of patients with the worst prognosis (decile 10) had severe neurological disability or were comatose prior to their cardiac arrest and given long resuscitation times, it was notable that only 36% of patients in this decile had DNR orders after ROSC. This rate remained below 50% even when DNR status was redefined as any time within 5 days after ROSC. Quiz Ref IDPatients’ decisions to have DNR orders may be motivated by many factors, including inaccurate clinician prognostication, inadequate communication, poor understanding of the prognosis, family influence, or patients’ personal beliefs and goals. The database did not distinguish between these possibilities. Furthermore a DNR order is not the appropriate choice for all patients with a very poor prognosis. Some patients opt for aggressive treatment regardless of prognosis. However, our findings suggest that decisions about DNR orders can be better aligned among patients with a low likelihood of favorable neurological survival. Future use of prognosis tools can facilitate shared, informed decision making for DNR orders in this patient group.
Some patients with the best prognosis had DNR orders soon after ROSC. The survival rate of 7.1% among patients with DNR orders in decile 1, however, differed markedly from patients without DNR orders (69.1%) who had a similar prognosis score profile. This pattern was repeated across all prognosis score deciles (Table 2). Whether the survival difference by DNR status among patients with a high likelihood of favorable neurological survival reflects less aggressive care among patients with DNR orders or factors not measured in a prognosis tool remains unknown and is an area for future research. Nevertheless, patients who had DNR orders in the setting of a favorable prognosis (eg, decile 1) did not differ substantially from patients without DNR orders. Of concern, total hospitalization costs for patients with DNR orders in decile 1 were similar to those patients with DNR orders in decile 10 who had the worst prognosis (Table 3), despite large differences in resuscitation duration and baseline neurological disability between these 2 populations (eTable 5 in the Supplement). Although we are unable to distinguish whether DNR orders were a marker or mediator for worse outcomes, these initial insights raise questions about whether DNR decisions may have led to lower intensity and aggressiveness of care for patients with DNR orders, especially for those with a good prognosis. In this setting, use of decision support tools may reduce the possibility of decreased treatment intensity among those with a high likelihood of favorable neurological survival.
Quiz Ref IDOur study should be interpreted in the context of certain limitations. First, the CASPRI score has been internally validated but still requires external validation. Therefore, the clinical applicability of this tool for hospitals not participating in the Get With the Guidelines–Resuscitation database may be limited. Second, the occurrence, frequency and content of patient-clinician discussions about early DNR status were not measured. Therefore, the reasons some patients in the deciles with the best prognosis chose to have DNR orders placed while others with the worst prognosis did not could not be determined. Studies are needed to assess the extent to which this is due to patients’ beliefs and preferences or discordance between physicians’ perceptions of patients’ prognoses and those of available prognosis tools. Third, although a prognosis tool with excellent discrimination was used, it is likely that some decisions regarding DNR status may reflect unmeasured patient characteristics that were not included in the prediction tool. This is an especially germane limitation in regard to those patients with good neurological prognosis who nevertheless had DNR orders after ROSC. Fourth, despite a wealth of evidence that DNR status is associated with mortality in a number of clinical settings, it is not established whether patients’ DNR status is a marker or mediator of survival. Delineation of the exact nature of this relationship merits further study.
Although DNR orders after in-hospital cardiac arrest were generally aligned with patients’ likelihood of favorable neurological survival, only one-third of patients with the worst prognosis had DNR orders. Patients with DNR orders had lower survival than those without DNR orders, including among those with the best prognosis.
Corresponding Author: Timothy J Fendler, MD, MS, Saint Luke's Mid America Heart Institute, Cardiovascular Outcomes Research, 4401 Wornall Rd, SLNI, Fifth Floor, Ste 5603, Kansas City, MO 64111 (fendlert@umkc.edu).
Author Contributions: Drs Fendler and Chan had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Fendler, Spertus, Chan.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: Fendler, Chan.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Fendler, Kennedy.
Obtained funding: Spertus.
Study supervision: Fendler, Spertus, Chan.
Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.
Funding/Support: Dr Fendler is supported by grant T32HL110837 from the National Heart, Lung, and Blood Institute (NHLBI). Dr Chan is funded by grant 1R01HL123980 from the NHLBI. Dr Chen is supported by grant K08 HS020671 from Agency for Healthcare Research and Quality. Outcome, a Quintiles Company, is the data collection coordination center for the American Heart Association/American Stroke Association Get With the Guidelines programs.
Role of the Funder/Sponsor: The sponsors, including the American Heart Association, had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Correction: The labels in the key of Figure 2 were corrected online October 20, 2015.
1.Merchant
RM, Yang
L, Becker
LB,
et al; American Heart Association Get With the Guidelines-Resuscitation Investigators. Incidence of treated cardiac arrest in hospitalized patients in the United States.
Crit Care Med. 2011;39(11):2401-2406.
PubMedGoogle ScholarCrossref 2.Girotra
S, Nallamothu
BK, Spertus
JA, Li
Y, Krumholz
HM, Chan
PS; American Heart Association Get With the Guidelines–Resuscitation Investigators. Trends in survival after in-hospital cardiac arrest.
N Engl J Med. 2012;367(20):1912-1920.
PubMedGoogle ScholarCrossref 3.Topjian
AA, Localio
AR, Berg
RA,
et al; American Heart Association National Registry of Cardiopulmonary Resuscitation Investigators. Women of child-bearing age have better in-hospital cardiac arrest survival outcomes than do equal-aged men.
Crit Care Med. 2010;38(5):1254-1260.
PubMedGoogle Scholar 4.Larkin
GL, Copes
WS, Nathanson
BH, Kaye
W. Pre-resuscitation factors associated with mortality in 49,130 cases of in-hospital cardiac arrest: a report from the National Registry for Cardiopulmonary Resuscitation.
Resuscitation. 2010;81(3):302-311.
PubMedGoogle ScholarCrossref 5.Chan
PS, Krumholz
HM, Nichol
G, Nallamothu
BK; American Heart Association National Registry of Cardiopulmonary Resuscitation Investigators. Delayed time to defibrillation after in-hospital cardiac arrest.
N Engl J Med. 2008;358(1):9-17.
PubMedGoogle ScholarCrossref 6.Chan
PS, Nichol
G, Krumholz
HM,
et al; American Heart Association National Registry of Cardiopulmonary Resuscitation (NRCPR) Investigators. Racial differences in survival after in-hospital cardiac arrest.
JAMA. 2009;302(11):1195-1201.
PubMedGoogle ScholarCrossref 7.Peberdy
MA, Ornato
JP, Larkin
GL,
et al; National Registry of Cardiopulmonary Resuscitation Investigators. Survival from in-hospital cardiac arrest during nights and weekends.
JAMA. 2008;299(7):785-792.
PubMedGoogle ScholarCrossref 8.Chan
PS, Spertus
JA, Krumholz
HM,
et al; Get With the Guidelines-Resuscitation Registry Investigators. A validated prediction tool for initial survivors of in-hospital cardiac arrest.
Arch Intern Med. 2012;172(12):947-953.
PubMedGoogle ScholarCrossref 9.Peberdy
MA, Kaye
W, Ornato
JP,
et al. Cardiopulmonary resuscitation of adults in the hospital: a report of 14 720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation.
Resuscitation. 2003;58(3):297-308.
PubMedGoogle ScholarCrossref 10.Cummins
RO, Chamberlain
D, Hazinski
MF,
et al; American Heart Association. Recommended guidelines for reviewing, reporting, and conducting research on in-hospital resuscitation: the in-hospital “Utstein style.”
Circulation. 1997;95(8):2213-2239.
PubMedGoogle ScholarCrossref 11.Jacobs
I, Nadkarni
V, Bahr
J,
et al; International Liaison Committee on Resuscitation; American Heart Association; European Resuscitation Council; Australian Resuscitation Council; New Zealand Resuscitation Council; Heart and Stroke Foundation of Canada; InterAmerican Heart Foundation; Resuscitation Councils of Southern Africa; ILCOR Task Force on Cardiac Arrest and Cardiopulmonary Resuscitation Outcomes. Cardiac arrest and cardiopulmonary resuscitation outcome reports: update and simplification of the Utstein templates for resuscitation registries: a statement for healthcare professionals from a task force of the International Liaison Committee on Resuscitation (American Heart Association, European Resuscitation Council, Australian Resuscitation Council, New Zealand Resuscitation Council, Heart and Stroke Foundation of Canada, InterAmerican Heart Foundation, Resuscitation Councils of Southern Africa).
Circulation. 2004;110(21):3385-3397.
PubMedGoogle ScholarCrossref 12.Brain Resuscitation Clinical Trial I Study Group. A randomized clinical study of cardiopulmonary-cerebral resuscitation: design, methods, and patient characteristics.
Am J Emerg Med. 1986;4(1):72-86.
PubMedGoogle ScholarCrossref 13.Mamdani
M, Sykora
K, Li
P,
et al. Reader’s guide to critical appraisal of cohort studies: II: assessing potential for confounding.
BMJ. 2005;330(7497):960-962.
PubMedGoogle ScholarCrossref 14.George
AL
Jr, Folk
BP
III, Crecelius
PL, Campbell
WB. Pre-arrest morbidity and other correlates of survival after in-hospital cardiopulmonary arrest.
Am J Med. 1989;87(1):28-34.
PubMedGoogle ScholarCrossref 15.Ebell
MH. Prearrest predictors of survival following in-hospital cardiopulmonary resuscitation: a meta-analysis.
J Fam Pract. 1992;34(5):551-558.
PubMedGoogle Scholar 16.Ebell
MH, Jang
W, Shen
Y, Geocadin
RG; Get With the Guidelines–Resuscitation Investigators. Development and validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score to predict neurologically intact survival after in-hospital cardiopulmonary resuscitation.
JAMA Intern Med. 2013;173(20):1872-1878.
PubMedGoogle ScholarCrossref 17.Goldstein
H. Multilevel Statistical Models. New York, NY: Wiley; 1995.
19.Chan
PS, Nallamothu
BK, Krumholz
HM,
et al; American Heart Association Get With the Guidelines–Resuscitation Investigators. Long-term outcomes in elderly survivors of in-hospital cardiac arrest.
N Engl J Med. 2013;368(11):1019-1026.
PubMedGoogle ScholarCrossref 20.Chan
PS, Nallamothu
BK, Krumholz
HM,
et al; American Heart Association’s Get With the Guidelines–Resuscitation Investigators. Readmission rates and long-term hospital costs among survivors of an in-hospital cardiac arrest.
Circ Cardiovasc Qual Outcomes. 2014;7(6):889-895.
PubMedGoogle ScholarCrossref 21.R Development Core Team. R: A language and environment for statistical computing.
http://www.R-project.org. Published 2014. Accessed February 13, 2015.
22.Jackson
EA, Yarzebski
JL, Goldberg
RJ,
et al. Do-not-resuscitate orders in patients hospitalized with acute myocardial infarction: the Worcester Heart Attack Study.
Arch Intern Med. 2004;164(7):776-783.
PubMedGoogle ScholarCrossref 23.Kelly
AG, Zahuranec
DB, Holloway
RG, Morgenstern
LB, Burke
JF. Variation in do-not-resuscitate orders for patients with ischemic stroke: implications for national hospital comparisons.
Stroke. 2014;45(3):822-827.
PubMedGoogle ScholarCrossref 24.Shepardson
LB, Youngner
SJ, Speroff
T, O’Brien
RG, Smyth
KA, Rosenthal
GE. Variation in the use of do-not-resuscitate orders in patients with stroke.
Arch Intern Med. 1997;157(16):1841-1847.
PubMedGoogle ScholarCrossref 25.Marrie
TJ, Fine
MJ, Kapoor
WN, Coley
CM, Singer
DE, Obrosky
DS. Community-acquired pneumonia and do not resuscitate orders.
J Am Geriatr Soc. 2002;50(2):290-299.
PubMedGoogle ScholarCrossref 26.Niemann
JT, Stratton
SJ. The Utstein template and the effect of in-hospital decisions: the impact of do-not-attempt resuscitation status on survival to discharge statistics.
Resuscitation. 2001;51(3):233-237.
PubMedGoogle ScholarCrossref 27.Richardson
DK, Zive
D, Daya
M, Newgard
CD. The impact of early do not resuscitate (DNR) orders on patient care and outcomes following resuscitation from out of hospital cardiac arrest.
Resuscitation. 2013;84(4):483-487.
PubMedGoogle ScholarCrossref