Descriptive Comparison of Two Models of Tele-Critical Care Delivery in a Large Multi-Hospital Health Care System.

Introduction: The Society of Critical Care Medicine Tele-Critical Care (TCC) Committee has identified the need for rigorous comparative research of different TCC delivery models to support the development of best practices for staffing, application, and approaches to workflow. Our objective was to describe and compare outcomes between two TCC delivery models, TCC with 24/7 Bedside Intensivist (BI) compared with TCC with Private Daytime Attending Intensivist (PI) in relation to intensive care unit (ICU) and hospital mortality, ICU and hospital length of stay (LOS), cost, and complications across the spectrum of routine ICU standards of care. Methods: Observational cohort study at large health care system in 12 ICUs and included patients, ≥18, with Acute Physiology and Chronic Health Evaluation (APACHE) IVa scores and predictions (October 2016-June 2019). Results: Of the 19,519 ICU patients, 71.7% (n = 13,993) received TCC with 24/7 BI while 28.3% (n = 5,526) received TCC with PI. ICU and Hospital mortality (4.8% vs. 3.1%, p < 0.0001; 12.6% vs. 8.1%, p < 0.001); and ICU and Hospital LOS (3.2 vs. 2.4 days, p < 0.001; 9.8 vs. 7.2 days, p < 0.001) were significantly higher among 24/7 BI compared with PI. The APACHE observed/expected ratios (odds ratio [OR]; 95% confidence interval [CI]) for ICU mortality (0.62; 0.58-0.67) vs. (0.53; 0.46-0.61) and Hospital mortality (0.95; 0.57-1.48) vs. (0.77; 0.70-0.84) were significantly different for 24/7 BI compared with PI. Multivariate mixed models that adjusted for confounders demonstrated significantly greater odds of (OR; 95% CI) ICU mortality (1.58; 1.28-1.93), Hospital mortality (1.52; 1.33-1.73), complications (1.55; 1.18-2.04), ICU LOS [3.14 vs. 2.59 (1.25; 1.19-1.51)], and Hospital LOS [9.05 vs. 7.31 (1.23; 1.21-1.25)] among 24/7 BI when compared with PI. Sensitivity analyses adjusting for ICU admission within 24 h of hospital admission, receiving active ICU treatments, nighttime admission, sepsis, and highest third acute physiology score indicated significantly higher odds for 24/7 BI compared with PI. Conclusion: Our comparison demonstrated that TCC delivery model with PI provided high-quality care with significant positive effects on outcomes. This suggests that TCC delivery models have broad-ranging applicability and benefits in routine critical care, thus necessitating progressive research in this direction.

Increasing Sepsis Rates in the United States: Results From National Inpatient Sample, 2005 to 2014.

OBJECTIVES: To examine the trends in hospitalization rates, mortality, and costs for sepsis during the years 2005 to 2014. METHODS: This was a retrospective serial cross-sectional analysis of patients ≥18 years admitted for sepsis in National Inpatient Sample. Trends in sepsis hospitalizations were estimated, and age- and sex-adjusted rates were calculated for the years 2005 to 2014. RESULTS: There were 541 694 sepsis admissions in 2005 and increased to 1 338 905 in 2014. Sepsis rates increased significantly from 1.2% to 2.7% during the years 2005 to 2014 (relative increase: 123.8%; P trend < .001). However, the relative increase changed by 105.8% (P trend < .001) after adjusting for age and sex and maintained significance. Although total cost of hospitalization due to sepsis increased significantly from US$22.2 to US$38.1 billion (P trend < .001), the mean hospitalization cost decreased significantly from US$46,470 to US$29,290 (P trend < .001). CONCLUSIONS: Hospitalizations for sepsis increased during the years 2005 to 2014. Our study paradoxically found declining rates of in-hospital mortality, length of stay, and mean hospitalization cost for sepsis. These findings could be due to biases introduced by International Classification of Diseases, Ninth Revision, Clinical Modification coding rules and increased readmission rates or alternatively due to increased awareness and surveillance and changing disposition status. Standardized epidemiologic registries should be developed to overcome these biases.

Impact of Telemedicine on Mortality, Length of Stay, and Cost Among Patients in Progressive Care Units: Experience From a Large Healthcare System.

OBJECTIVES: To determine whether Telemedicine intervention can affect hospital mortality, length of stay, and direct costs for progressive care unit patients. DESIGN: Retrospective observational. SETTING: Large healthcare system in Florida. PATIENTS: Adult patients admitted to progressive care unit (PCU) as their primary admission between December 2011 and August 2016 (n = 16,091). INTERVENTIONS: Progressive care unit patients with telemedicine intervention (telemedicine PCU [TPCU]; n = 8091) and without telemedicine control (nontelemedicine PCU [NTPCU]; n = 8000) were compared concurrently during study period. MEASUREMENTS AND MAIN RESULTS: Primary outcome was progressive care unit and hospital mortality. Secondary outcomes were hospital length of stay, progressive care unit length of stay, and mean direct costs. The mean age NTPCU and TPCU patients were 63.4 years (95% CI, 62.9-63.8 yr) and 71.1 years (95% CI, 70.7-71.4 yr), respectively. All Patient Refined-Diagnosis Related Group Disease Severity (p < 0.0001) and All Patient Refined-Diagnosis Related Group patient Risk of Mortality (p < 0.0001) scores were significantly higher among TPCU versus NTPCU. After adjusting for age, sex, race, disease severity, risk of mortality, hospital entity, and organ systems, TPCU survival benefit was 20%. Mean progressive care unit length of stay was lower among TPCU compared with NTPCU (2.6 vs 3.2 d; p < 0.0001). Postprogressive care unit hospital length of stay was longer for TPCU patients, compared with NTPCU (7.3 vs 6.8 d; p < 0.0001). The overall mean direct cost was higher for TPCU ($13,180), compared with NTPCU ($12,301; p < 0.0001). CONCLUSIONS: Although there are many studies about the effects of telemedicine in ICU, currently there are no studies on the effects of telemedicine in progressive care unit settings. Our study showed that TPCU intervention significantly decreased mortality in progressive care unit and hospital and progressive care unit length of stay despite the fact patients in TPCU were older and had higher disease severity, and risk of mortality. Increased postprogressive care unit hospital length of stay and total mean direct costs inclusive of telemedicine costs coincided with improved survival rates. Telemedicine intervention decreased overall mortality and length of stay within progressive care units without substantial cost incurrences.

Clinical outcomes after telemedicine intensive care unit implementation.

OBJECTIVE: To examine clinical outcomes before and after implementation of a telemedicine program in the intensive care units of a five-hospital healthcare system. DESIGN: Observational study with the baseline period of 1 yr before the start of a telemedicine intensive care unit program implementation at each of 5 hospitals. The post periods are 1, 2, and 3 yrs after telemedicine intensive care unit program implementation at each hospital. SETTING: Ten adult intensive care units (114 beds) in five community hospitals in south Florida. A telemedicine intensive care unit program with remote 24/7 intensivist and critical care nurse electronic monitoring was implemented by a phased approach between December 2005 and July 2007. MEASUREMENTS AND MAIN RESULTS: Records from 24,656 adult intensive care unit patients were analyzed. Hospital length of stay, intensive care unit length of stay, hospital mortality, and Case Mix Index were measured. Severity of illness using All Patient Refined-Diagnosis Related Groups scores was used as a covariate. From the baseline year to year 3 postimplementation, the severity-adjusted hospital length of stay was lowered from 11.86 days (95% confidence interval [CI] 11.55-12.21) to 10.16 days (95% CI 9.80-10.53; p < .001), severity-adjusted intensive care unit length of stay was lowered from 4.35 days (95% CI 4.22-4.49) to 3.80 days (95% CI 3.65-3.94; p < .001), and the relative risk of hospital mortality decreased to 0.77 (95% CI 0.69-0.87; p < .001). CONCLUSIONS: After 3 yrs of deployment of a telemedicine intensive care unit program, this retrospective observational study of mortality and length of stay outcomes included all cases admitted to an adult intensive care unit and found statistically significant decreases in severity-adjusted hospital length of stay of 14.2%, intensive care unit length of stay of 12.6%, and relative risk of hospital mortality of 23%, respectively, in a multihospital healthcare system.

Association of Contrast and Acute Kidney Injury in the Critically Ill: A Propensity-Matched Study.

BACKGROUND: Despite evidence that low osmolar radiocontrast media is not associated with acute kidney injury, it is important to evaluate this association in critically ill patients with normal kidney function. METHODS: This retrospective observational study included 7,333 adults with an ICU stay at a six-hospital health system in south Florida. Patients who received contrast were compared with unexposed control subjects prior to and following propensity score (PS) matching derived from baseline characteristics, admission diagnoses, comorbidities, and severity of illness. Acute kidney injury (AKI), defined as initial onset (stage I) or increased severity, was determined from serum creatinine levels according to Kidney Disease: Improving Global Outcomes guidelines. RESULTS: Based on 2,306 PS-matched pairs obtained from 2,557 patients who received IV contrast and 4,776 unexposed control subjects, the increase in AKI attributable to contrast was 1.3% (19.3% vs 18.0%; P = .273), and no association was found between contrast and the pattern of onset and recovery. Hospital mortality increased by 14.3% subsequent to AKI (18.0 vs 3.6; P < .001), but the risk ratio in relation to patients with stable AKI did not vary when stratified according to contrast. Multivariable regression identified sepsis, metabolic disorders, diabetes, history of renal disease, and severity of illness as factors that were more strongly associated with AKI. CONCLUSIONS: In critically ill adults with normal kidney function, low osmolar radiocontrast media did not substantively increase AKI. Rather than limiting the use of contrast in ICU patients, efforts to prevent AKI should focus on the susceptibility of patients with sepsis, diabetes complications, high Acute Physiology and Chronic Health Evaluation scores, and history of renal disease.