Telemedicine critical care availability and outcomes among mechanically ventilated patients.

PURPOSE: Telemedicine Critical Care (TCC) improves adherence to evidence based protocols associated with improved mortality among patients receiving invasive mechanical ventilation (IMV). We sought to evaluate the relationship between hospital availability of TCC and outcomes among patients receiving IMV. MATERIALS AND METHODS: We performed a cross-sectional study of 66,522 adults who received IMV for non-postoperative acute respiratory failure at 318 non-federal hospitals in New York, Massachusetts, Maryland, and Florida in 2018. Hospital-level TCC availability was ascertained from the 2018 American Hospital Association Annual Survey. The primary outcome was in-hospital mortality. Secondary outcomes included the composite of tracheostomy or reintubation and duration of IMV. We used two-level hierarchical multivariable regression models to investigate the association between TCC availability and outcomes. RESULTS: 20,270 (30.5%) patients were admitted into 89 TCC-available hospitals. There was no difference between TCC and non-TCC-available hospitals in mortality (odds ratio [OR] 0.94, 99% confidence interval [CI] 0.84-1.05), composite of tracheostomy or reintubation (OR 0.95 [0.82-1.11], or duration of IMV (OR 0.95 [0.83-1.09]). There was no difference in outcomes among the subgroup of patients with acute respiratory distress syndrome. CONCLUSIONS: Hospital TCC availability was not associated with improved outcomes among patients receiving IMV.

Patient and Hospital Characteristics Associated With the Interhospital Transfer of Adult Patients With Sepsis.

IMPORTANCE: The interhospital transfer (IHT) of patients with sepsis to higher-capability hospitals may improve outcomes. Little is known about patient and hospital factors associated with sepsis IHT. OBJECTIVES: We evaluated patterns of hospitalization and IHT and determined patient and hospital factors associated with the IHT of adult patients with sepsis. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: A total of 349,938 adult patients with sepsis at 329 nonfederal hospitals in California, 2018-2019. MAIN OUTCOMES AND MEASURES: We evaluated patterns of admission and outward IHT between low sepsis-, intermediate sepsis-, and high sepsis-capability hospitals. We estimated odds of IHT using generalized estimating equations logistic regression with bootstrap stepwise variable selection. RESULTS: Among the cohort, 223,202 (66.4%) were initially hospitalized at high-capability hospitals and 10,870 (3.1%) underwent IHT. Nearly all transfers (98.2%) from low-capability hospitals were received at higher-capability hospitals. Younger age (< 65 yr) (adjusted odds ratio [aOR] 1.54; 95% CI, 1.40-1.69) and increasing organ dysfunction (aOR 1.22; 95% CI, 1.19-1.25) were associated with higher IHT odds, as were admission to low-capability (aOR 2.79; 95% CI, 2.33-3.35) or public hospitals (aOR 1.35; 95% CI, 1.09-1.66). Female sex (aOR 0.88; 95% CI, 0.84-0.91), Medicaid insurance (aOR 0.59; 95% CI, 0.53-0.66), home to admitting hospital distance less than or equal to 10 miles (aOR 0.92; 95% CI, 0.87-0.97) and do-not-resuscitate orders (aOR 0.48; 95% CI, 0.45-0.52) were associated with lower IHT odds, as was admission to a teaching hospital (aOR 0.83; 95% CI, 0.72-0.96). CONCLUSIONS AND RELEVANCE: Most patients with sepsis are initially hospitalized at high-capability hospitals. The IHT rate for sepsis is low and more likely to originate from low-capability and public hospitals than from high-capability and for-profit hospitals. Transferred patients with sepsis are more likely to be younger, male, sicker, with private medical insurance, and less likely to have care limitation orders. Future studies should evaluate the comparative benefits of IHT from low-capability hospitals.

Telemedicine Critical Care-Mediated Mortality Reductions in Lower-Performing Patient Diagnosis Groups: A Prospective, Before and After Study.

OBJECTIVES: Studies evaluating telemedicine critical care (TCC) have shown mixed results. We prospectively evaluated the impact of TCC implementation on risk-adjusted mortality among patients stratified by pre-TCC performance. DESIGN: Prospective, observational, before and after study. SETTING: Three adult ICUs at an academic medical center. PATIENTS: A total of 2,429 patients in the pre-TCC (January to June 2016) and 12,479 patients in the post-TCC (January 2017 to June 2019) periods. INTERVENTIONS: TCC implementation which included an acuity-driven workflow targeting an identified "lower-performing" patient group, defined by ICU admission in an Acute Physiology and Chronic Health Evaluation diagnoses category with a pre-TCC standardized mortality ratio (SMR) of greater than 1.5. MEASUREMENTS AND MAIN RESULTS: The primary outcome was risk-adjusted hospital mortality. Risk-adjusted hospital length of stay (HLOS) was also studied. The SMR for the overall ICU population was 0.83 pre-TCC and 0.75 post-TCC, with risk-adjusted mortalities of 10.7% and 9.5% (p = 0.09). In the identified lower-performing patient group, which accounted for 12.6% (n = 307) of pre-TCC and 13.3% (n = 1671) of post-TCC ICU patients, SMR decreased from 1.61 (95% CI, 1.21-2.01) pre-TCC to 1.03 (95% CI, 0.91-1.15) post-TCC, and risk-adjusted mortality decreased from 26.4% to 16.9% (p < 0.001). In the remaining ("higher-performing") patient group, there was no change in pre- versus post-TCC SMR (0.70 [0.59-0.81] vs 0.69 [0.64-0.73]) or risk-adjusted mortality (8.5% vs 8.4%, p = 0.86). There were no pre- to post-TCC differences in standardized HLOS ratio or risk-adjusted HLOS in the overall cohort or either performance group. CONCLUSIONS: In well-staffed and overall higher-performing ICUs in an academic medical center, Acute Physiology and Chronic Health Evaluation granularity allowed identification of a historically lower-performing patient group that experienced a striking TCC-associated reduction in SMR and risk-adjusted mortality. This study provides additional evidence for the relationship between pre-TCC performance and post-TCC improvement.

The Relationship Between Hospital Capability and Mortality in Sepsis: Development of a Sepsis-Related Hospital Capability Index.

OBJECTIVES: Regionalized sepsis care could improve sepsis outcomes by facilitating the interhospital transfer of patients to higher-capability hospitals. There are no measures of sepsis capability to guide the identification of such hospitals, although hospital case volume of sepsis has been used as a proxy. We evaluated the performance of a novel hospital sepsis-related capability (SRC) index as compared with sepsis case volume. DESIGN: Principal component analysis (PCA) and retrospective cohort study. SETTING: A total of 182 New York (derivation) and 274 Florida and Massachusetts (validation) nonfederal hospitals, 2018. PATIENTS: A total of 89,069 and 139,977 adult patients (≥ 18 yr) with sepsis were directly admitted into the derivation and validation cohort hospitals, respectively. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We derived SRC scores by PCA of six hospital resource use characteristics (bed capacity, annual volumes of sepsis, major diagnostic procedures, renal replacement therapy, mechanical ventilation, and major therapeutic procedures) and classified hospitals into capability score tertiles: high, intermediate, and low. High-capability hospitals were mostly urban teaching hospitals. Compared with sepsis volume, the SRC score explained more variation in hospital-level sepsis mortality in the derivation (unadjusted coefficient of determination [ R2 ]: 0.25 vs 0.12, p < 0.001 for both) and validation (0.18 vs 0.05, p < 0.001 for both) cohorts; and demonstrated stronger correlation with outward transfer rates for sepsis in the derivation (Spearman coefficient [ r ]: 0.60 vs 0.50) and validation (0.51 vs 0.45) cohorts. Compared with low-capability hospitals, patients with sepsis directly admitted into high-capability hospitals had a greater number of acute organ dysfunctions, a higher proportion of surgical hospitalizations, and higher adjusted mortality (odds ratio [OR], 1.55; 95% CI, 1.25-1.92). In stratified analysis, worse mortality associated with higher hospital capability was only evident among patients with three or more organ dysfunctions (OR, 1.88 [1.50-2.34]). CONCLUSIONS: The SRC score has face validity for capability-based groupings of hospitals. Sepsis care may already be de facto regionalized at high-capability hospitals. Low-capability hospitals may have become more adept at treating less complicated sepsis.

Outcomes of in-hospital cardiac arrest among hospitals with and without telemedicine critical care.

BACKGROUND: Survival rates following in-hospital cardiac arrest (IHCA) are lower during nights and weekends (off-hours), as compared to daytime on weekdays (on-hours). Telemedicine Critical Care (TCC) may provide clinical support to improve IHCA outcomes, particularly during off-hours. OBJECTIVE: To evaluate the association between hospital availability of TCC and IHCA survival. METHODS: We identified 44,585 adults at 280 U.S. hospitals in the Get With The Guidelines® - Resuscitation registry who suffered IHCA in an Intensive Care Unit (ICU) or hospital ward between July 2017 and December 2019. We used 2-level hierarchical multivariable logistic regression to investigate whether TCC availability was associated with better survival, overall, and during on-hours (Monday-Friday 7:00 a.m.-10:59p.m.) vs. off-hours (Monday-Friday 11:00p.m.-6:59 a.m., and Saturday-Sunday, all day, and US national holidays). RESULTS: 14,373 (32.2%) participants suffered IHCA at hospitals with TCC, and 27,032 (60.6%) occurred in an ICU. There was no difference between TCC and non-TCC hospitals in acute resuscitation survival rate or survival to discharge rates for either IHCA occurring in the ICU (acute survival odds ratio [OR] 1.02, 95% CI 0.92-1.15; survival to discharge OR 0.94 [0.83-1.07]) or outside of the ICU (acute survival OR 1.03 [0.91-1.17]; survival to discharge OR 0.99 [0.86-1.12]. Timing of cardiac arrest did not modify the association between TCC availability and acute resuscitation survival (P =.37 for interaction) or survival to discharge (P =.39 for interaction). CONCLUSIONS: Hospital availability of TCC was not associated with improved outcomes for in-hospital cardiac arrest.

Characteristics of U.S. Acute Care Hospitals That Have Implemented Telemedicine Critical Care.

OBJECTIVES: Telemedicine critical care is associated with improved efficiency, quality, and cost-effectiveness. As of 2010, fewer than 5% of U.S. hospitals had telemedicine critical care, and fewer than 10% of ICU beds were covered. We evaluated recent telemedicine critical care implementation and bed coverage rates in the United States and compared characteristics of hospitals with and without telemedicine critical care. DESIGN: Cross-sectional study of 2018 American Hospital Association Annual Survey Database. SETTING: U.S. hospitals. PATIENTS: None. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We obtained data regarding telemedicine critical care implementation, ICU capability (defined as ≥ 1 ICU bed), other hospital characteristics, and the Herfindahl-Hirschman Index, a measure of ICU market competition based on hospital referral regions. Among 4,396 hospitals (response rate 71%), 788 (17.9%) had telemedicine critical care, providing potential coverage to 27,624 (28% of total) ICU beds. Among 306 hospital referral regions, 197 (64%) had a respondent hospital with telemedicine critical care. Telemedicine critical care implementation was associated with being a nonprofit (odds ratio, 7.75; 95% CI, 5.18-11.58) or public (odds ratio, 4.16 [2.57-6.73]) compared with for-profit hospital; membership in a health system (odds ratio, 3.83 [2.89-5.08]; stroke telemedicine presence (odds ratio, 6.87 [5.35-8.81]); ICU capability (odds ratio, 1.68 [1.25-2.26]); and more competitive ICU markets (odds ratio per 1,000-point decrease in Herfindahl-Hirschman Index 1.11 [1.01-1.22]). Notably, rural critical access hospitals had lower odds of telemedicine critical care implementation (odds ratio, 0.49 [0.34-0.70]). Teaching status, geographic region, and rurality were not associated with telemedicine critical care implementation. CONCLUSIONS: About one fifth of respondent hospitals had telemedicine critical care by 2018, providing potential coverage of nearly one third of reported ICU beds. This represents a substantial increase in telemedicine critical care implementation over the last decade. Future expansion to include more rural hospitals that could benefit most may be aided by addressing hospital financial and market barriers to telemedicine critical care implementation.

Risk Factors for and Outcomes Associated With Peri-Intubation Hypoxemia: A Multicenter Prospective Cohort Study.

BACKGROUND: Little is known about hypoxemia surrounding endotracheal intubation in the critically ill. Thus, we sought to identify risk factors associated with peri-intubation hypoxemia and its effects' on the critically ill. METHODS: Data from a multicenter, prospective, cohort study enrolling 1,033 critically ill adults who underwent endotracheal intubation across 16 medical/surgical ICUs in the United States from July 2015-January 2017 were used to identify risk factors associated with peri-intubation hypoxemia and its effects on patient outcomes. We defined hypoxemia as any pulse oximetry ≤ 88% during and up to 30 minutes following endotracheal intubation. RESULTS: In the full analysis (n = 1,033), 123 (11.9%) patients experienced the primary outcome. Five risk factors independently associated with our outcome were identified on multiple logistic regression: cardiac related reason for endotracheal intubation (OR 1.67, [95% CI 1.04, 2.69]); pre-intubation noninvasive ventilation (OR 1.66, [95% CI 1.09, 2.54]); emergency intubation (OR 1.65, [95% CI 1.06, 2.55]); moderate-severe difficult bag-mask ventilation (OR 2.68, [95% CI 1.72, 4.19]); and crystalloid administration within the preceding 24 hours (OR 1.24, [95% CI 1.07, 1.45]; per liter up to 4 liters). Higher baseline SpO2 was found to be protective (OR 0.93, [95% CI 0.91, 0.96]; per percent up to 97%). Consistent results were seen in a separate analysis on only stable patients (n = 921, 93 [10.1%]) (those without baseline hypoxemia ≤ 88%). Peri-intubation hypoxemia was associated with in-hospital mortality (OR 2.40, [95% CI 1.33, 4.31]; stable patients: OR 2.67, [95% CI 1.38, 5.17]) but not ICU length of stay (point estimate 0.9 days, [95% CI -1.0, 2.8 days]; stable patients: point estimate 1.5 days, [95% CI -0.4, 3.4 days]) after adjusting for age, body mass index, illness severity, airway related reason for intubation (i.e., acute respiratory failure), and baseline SPO2. CONCLUSIONS: Patients with pre-existing noninvasive ventilation and volume loading who were intubated emergently in the setting of hemodynamic compromise with bag-mask ventilation described as moderate-severe were at increased risk for peri-intubation hypoxemia. Higher baseline oxygenation was found to be protective against peri-intubation hypoxemia. Peri-intubation hypoxemia was associated with in-hospital mortality but not ICU length of stay. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT02508948 and Registered Report Identifier: RR2-10.2196/11101.

Risk factors for and prediction of post-intubation hypotension in critically ill adults: A multicenter prospective cohort study.

OBJECTIVE: Hypotension following endotracheal intubation in the ICU is associated with poor outcomes. There is no formal prediction tool to help estimate the onset of this hemodynamic compromise. Our objective was to derive and validate a prediction model for immediate hypotension following endotracheal intubation. METHODS: A multicenter, prospective, cohort study enrolling 934 adults who underwent endotracheal intubation across 16 medical/surgical ICUs in the United States from July 2015-January 2017 was conducted to derive and validate a prediction model for immediate hypotension following endotracheal intubation. We defined hypotension as: 1) mean arterial pressure <65 mmHg; 2) systolic blood pressure <80 mmHg and/or decrease in systolic blood pressure of 40% from baseline; 3) or the initiation or increase in any vasopressor in the 30 minutes following endotracheal intubation. RESULTS: Post-intubation hypotension developed in 344 (36.8%) patients. In the full cohort, 11 variables were independently associated with hypotension: increasing illness severity; increasing age; sepsis diagnosis; endotracheal intubation in the setting of cardiac arrest, mean arterial pressure <65 mmHg, and acute respiratory failure; diuretic use 24 hours preceding endotracheal intubation; decreasing systolic blood pressure from 130 mmHg; catecholamine and phenylephrine use immediately prior to endotracheal intubation; and use of etomidate during endotracheal intubation. A model excluding unstable patients' pre-intubation (those receiving catecholamine vasopressors and/or who were intubated in the setting of cardiac arrest) was also developed and included the above variables with the exception of sepsis and etomidate. In the full cohort, the 11 variable model had a C-statistic of 0.75 (95% CI 0.72, 0.78). In the stable cohort, the 7 variable model C-statistic was 0.71 (95% CI 0.67, 0.75). In both cohorts, a clinical risk score was developed stratifying patients' risk of hypotension. CONCLUSIONS: A novel multivariable risk score predicted post-intubation hypotension with accuracy in both unstable and stable critically ill patients. STUDY REGISTRATION: Clinicaltrials.gov identifier: NCT02508948 and Registered Report Identifier: RR2-10.2196/11101.

Associations between hospital occupancy, intensive care unit transfer delay and hospital mortality.

PURPOSE: Hospital occupancy (HospOcc) pressures often lead to longer intensive care unit (ICU) stay after physician recognition of discharge readiness. We evaluated the relationships between HospOcc, extended ICU stay, and patient outcomes. MATERIALS AND METHODS: 7-year retrospective cohort study of 8500 alive discharge encounters from 4 adult ICUs of a tertiary hospital. We estimated associations between i) HospOcc and ICU transfer delay; and ii) ICU transfer delay and hospital mortality. RESULTS: Median (IQR) ICU transfer delay was 4.8 h (1.6-11.7), 1.4% (119) suffered in-hospital death, and 4% (341) were readmitted. HospOcc was non-linearly related with ICU transfer delay, with a spline knot at 80% (mean transfer delay 8.8 h [95% CI: 8.24, 9.38]). Higher HospOcc level above 80% was associated with longer transfer delays, (mean increase 5.4% per % HospOcc increase; 95% CI, 4.7 to 6.1; P < .001). Longer ICU transfer delay was associated with increasing odds of in-hospital death or ICU readmission (odds ratio 1.01 per hour; 95% CI 1.00 to 1.01; P = .04) but not with ICU readmission alone (OR 1.01 per hour; 95% CI 1.00 to 1.01, P = .14). CONCLUSIONS: ICU transfer delay exponentially increased above a threshold hospital occupancy and may be associated with increased hospital mortality.

Trends in Survival After In-Hospital Cardiac Arrest During Nights and Weekends.

BACKGROUND: Survival after in-hospital cardiac arrest (IHCA) is lower during nights and weekends (off-hours) compared with daytime during weekdays (on-hours). As overall IHCA survival has improved over time, it remains unknown whether survival differences between on-hours and off-hours have changed. OBJECTIVES: This study sought to examine temporal trends in survival differences between on-hours and off-hours IHCA. METHODS: We identified 151,071 adults at 470 U.S. hospitals in the Get with the Guidelines-Resuscitation registry during 2000 to 2014. Using multivariable logistic regression with generalized estimating equations, we examined whether survival trends in IHCA differed during on-hours (Monday to Friday 7:00 am to 10:59 pm) versus off-hours (Monday to Friday 11:00 pm to 6:59 am, and Saturday to Sunday, all day). RESULTS: Among 151,071 participants, 79,091 (52.4%) had an IHCA during off-hours. Risk-adjusted survival improved over time in both groups (on-hours: 16.0% in 2000, 25.2% in 2014; off-hours: 11.9% in 2000, 21.9% in 2014; p for trend <0.001 for both). However, there was no significant change in the survival difference over time between on-hours and off-hours, either on an absolute (p = 0.75) or a relative scale (p = 0.059). Acute resuscitation survival improved significantly in both groups (on-hours: 56.1% in 2000, 71% in 2014; off-hours: 46.9% in 2000, 68.2% in 2014; p for trend <0.001 for both) and the difference between on-hours and off-hours narrowed over time (p = 0.02 absolute scale, p < 0.001 relative scale). In contrast, although post-resuscitation survival also improved over time in both groups (p for trend < 0.001 for both), the absolute and relative difference persisted. CONCLUSIONS: Despite an overall improvement in survival, lower survival in IHCA during off-hours compared with on-hours persists.

A qualitative exploration of the discharge process and factors predisposing to readmissions to the intensive care unit.

BACKGROUND: Quantitative studies have demonstrated several factors predictive of readmissions to intensive care. Clinical decision tools, derived from these factors have failed to reduce readmission rates. The purpose of this study was to qualitatively explore the experiences and perceptions of physicians and nurses to gain more insight into intensive care readmissions. METHODS: Semi-structured interviews of intensive care unit (ICU) and general medicine care providers explored work routines, understanding and perceptions of the discharge process, and readmissions to intensive care. Participants included ten providers from the ICU setting, including nurses (n = 5), consultant intensivists (n = 2), critical care fellows (n = 3) and 9 providers from the general medical setting, nurses (n = 4), consulting physicians (n = 2) and senior resident physicians (n = 3). Principles of grounded theory were used to analyze the interview transcripts. RESULTS: Nine factors within four broad themes were identified: (1) patient factors - severity-of-illness and undefined goals of care; (2) process factors - communication, transitions of care; (3) provider factors - discharge decision-making, provider experience and comfort level; (4) organizational factors - resource constraints, institutional policies. CONCLUSIONS: Severe illness predisposes ICU patients to readmission, especially when goals of care were not adequately addressed. Communication, premature discharge, and other factors, mostly unrelated to the patient were also perceived by physicians and nurses to be associated with readmissions to intensive care. Quality improvement efforts that focus on modifying or improving aspects of non-patient factors may improve outcomes for patients at risk of ICU readmission.

Culture-Negative Septic Shock Compared With Culture-Positive Septic Shock: A Retrospective Cohort Study.

OBJECTIVES: To determine the clinical characteristics and outcomes of culture-negative septic shock in comparison with culture-positive septic shock. DESIGN: Retrospective nested cohort study. SETTING: ICUs of 28 academic and community hospitals in three countries between 1997 and 2010. SUBJECTS: Patients with culture-negative septic shock and culture-positive septic shock derived from a trinational (n = 8,670) database of patients with septic shock. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients with culture-negative septic shock (n = 2,651; 30.6%) and culture-positive septic shock (n = 6,019; 69.4%) were identified. Culture-negative septic shock compared with culture-positive septic shock patients experienced similar ICU survival (58.3% vs 59.5%; p = 0.276) and overall hospital survival (47.3% vs 47.1%; p = 0.976). Severity of illness was similar between culture-negative septic shock and culture-positive septic shock groups ([mean and SD Acute Physiology and Chronic Health Evaluation II, 25.7 ± 8.3 vs 25.7 ± 8.1]; p = 0.723) as were serum lactate levels (3.0 [interquartile range, 1.7-6.1] vs 3.2 mmol/L [interquartile range, 1.8-5.9 mmol/L]; p = 0.366). As delays in the administration of appropriate antimicrobial therapy after the onset of hypotension increased, patients in both groups experienced congruent increases in overall hospital mortality: culture-negative septic shock (odds ratio, 1.56; 95% CI [1.47-1.66]; p < 0.0001) and culture-positive septic shock (odds ratio, 1.65; 95% CI [1.59-1.71]; p < 0.0001). CONCLUSIONS: Patients with culture-negative septic shock behave similarly to those with culture-positive septic shock in nearly all respects; early appropriate antimicrobial therapy appears to improve mortality. Early recognition and eradication of infection is the most obvious effective strategy to improve hospital survival.

Case Volume-Outcomes Associations Among Patients With Severe Sepsis Who Underwent Interhospital Transfer.

OBJECTIVES: Case volume-outcome associations bolster arguments to regionalize severe sepsis care, an approach that may necessitate interhospital patient transfers. Although transferred patients may most closely reflect care processes involved with regionalization, associations between sepsis case volume and outcomes among transferred patients are unclear. We investigated case volume-outcome associations among patients with severe sepsis transferred from another hospital. DESIGN: Serial cross-sectional study using the Nationwide Inpatient Sample. SETTING: United States nonfederal hospitals, years 2003-2011. PATIENTS: One hundred forty-one thousand seven hundred seven patients (weighted national estimate of 717,732) with severe sepsis transferred from another acute care hospital. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We examined associations between quintiles of annual hospital severe sepsis case volume for the receiving hospital and in-hospital mortality among transferred patients with severe sepsis. Secondary outcomes included hospital length of stay and total charges. Transferred patients accounted for 13.2% of hospitalized severe sepsis cases. In-hospital mortality was 33.2%, with median length of stay 11 days (interquartile range, 5-22), and median total charge $70,722 (interquartile range, $30,591-$159,013). Patients transferred to highest volume hospitals had higher predicted mortality risk, greater number of acutely dysfunctional organs, and lower adjusted in-hospital mortality when compared with the lowest-volume hospitals (odds ratio, 0.80; 95% CI, 0.67-0.90). In stratified analysis (p < 0.001 for interaction of case volume by organ failure), mortality benefit associated with case volume was limited to patients with single organ dysfunction (n = 48,607, 34.3% of transfers) (odds ratio, 0.66; 95% CI, 0.55-0.80). Treatment at highest volume hospitals was significantly associated with shorter adjusted length of stay (incidence rate ratio, 0.86; 95% CI, 0.75-0.98) but not costs (% charge difference, 95% CI: [-]18.8, [-]37.9 to [+]0.3). CONCLUSIONS: Hospital mortality was lowest among patients with severe sepsis who were transferred to high-volume hospitals; however, case volume benefits for transferred patients may be limited to patients with lower illness severity.

Six-month quality-of-life and functional status of acute respiratory distress syndrome survivors compared to patients at risk: a population-based study.

INTRODUCTION: The long-term attributable burden related to acute respiratory distress syndrome (ARDS) is not fully investigated. The aim of this study is to evaluate the quality of life (QOL) and functional status at 6 months after hospitalization in patients at risk for ARDS who did and did not develop the syndrome. METHOD: This is a population-based prospective cohort study of adult patients from Olmsted County, Minnesota, with or at risk for ARDS hospitalized from October 2008 to July 2011. The primary outcomes were changes in QOL and functional status, measured through 12-Item Short Form Survey (SF-12) and Barthel Index (BI) respectively, from baseline to 6 months, compared between survivors who did and did not develop ARDS. RESULTS: Of 410 patients with or at risk for ARDS, 98 had baseline surveys collected and 67 responded to a 6-month survey (26 ARDS, 41 non-ARDS). Both ARDS and non-ARDS groups had lower physical component of SF-12 at baseline compared to general population (P < 0.001 for both). ARDS patients had poorer baseline functional status compared to non-ARDS (mean BI 80 ± 25 vs. 88 ± 22, P = 0.03). No significant differences were observed for the change between 6 months and baseline BI (delta 2.3 for ARDS vs. 2.0 for non-ARDS, P = 0.5), or mental (delta 2.7 vs. 2.4, P = 0.9) or physical (delta -3 vs. -3.3, P = 0.9) component of SF-12 between survivors with and without ARDS. CONCLUSION: In this population-based study, decreased QOL and functional status 6 months after hospitalization were largely explained by baseline condition, with similar recovery in survivors who did and did not develop ARDS.

Neuromuscular and neuropsychological assessments in survivors of acute respiratory distress syndrome: exploratory comparisons with an at-risk cohort.

BACKGROUND: Long-term studies of survivors of acute respiratory distress syndrome (ARDS) have reported neuromuscular, quality of life, and neuropsychological impairments. This study aims to determine if development of ARDS was associated with neuromuscular weakness and depression at 6-month following hospital discharge in a population-based cohort of patients at high risk for ARDS. METHODS: A validated lung injury prediction model prospectively identified adult patients at increased risk for ARDS admitted to Mayo Clinic between October 2008 and July 2011. Instruments for functional impairment [Overall Neuropathy Limitations Scale (ONLS)] and the presence of depressive symptoms (the Yale Single Question) were administered at baseline and at 6 months. RESULTS: Of 107 patients enrolled in the study, 98 (92 %) underwent baseline assessment. Of these, 83 (85 %) were admitted to intensive care, 41 (42 %) developed ARDS, and 67 (68 %) completed assessment at 6 months. Patients with ARDS had longer intensive care and hospital length of stay (7.9 vs. 3.1 days, p = 0.005 and 19.5 vs. 10.6 days, p = 0.004, respectively). There was no difference in reported functional impairment at 6 months from baseline in the ARDS group compared to the non-ARDS group-mean ONLS Total Score 2.95 versus 2.07 p = 0.09 and 3.0 versus 2.1 p = 027, respectively. There was also no difference in the prevalence of depression at 6 months between the ARDS and non-ARDS group (21.9 vs. 30.7 % p = 0.41). CONCLUSIONS: In this single-center population-based cohort study, survivors of ARDS in the community had similar reported functional impairment and depression prevalence compared to an at-risk cohort that did not develop ARDS.