Impact of an Early Warning System Protocol, for Patients Admitted tothe Medical Floors with SARS-COV2 Pneumonia, on ICU Admission

Quality of life, functional status, and persistent symptoms after intensive care of COVID-19 patients

BackgroundWe assessed the association of intravenous insulin and glucose infusion with intensive care unit (ICU) and hospital mortality.MethodsFor this retrospective association study, we used data from all patients admitted to a medical-surgical ICU between January 2012 and September 2017. We excluded patients admitted < 24 h, patients with a diabetic ketoacidosis, patients with a therapy restriction upon ICU admission and readmissions. Using multivariate logistic regression, we examined the relation between intravenous insulin and glucose infusion and ICU and hospital mortality for all patients. Additionally, we used the same model to analyze the outcomes for patients admitted > 72 h.ResultsOf 9507 eligible patients, 3966 were included. After correction for potential confounders, intravenous insulin was associated with ICU and hospital mortality in patients admitted > 24 h (n = 3966) (odds ratio (OR) 1.09 [95% CI 1.05–1.13] and 1.09 [95% CI 1.06–1.13] per 0.1 IU/kg added, respectively). Likewise, intravenous glucose was associated with ICU mortality (OR 1.01 [95% CI 1.00–1.01]) but not with hospital mortality and (OR 1.00 [95% CI 1.00–1.01]) per g/day added, respectively. In patients admitted > 72 h (n = 1550), insulin dose was associated with both ICU and hospital mortality (p = 0.002 and p < 0.001, respectively), but glucose infusion was not (p = 0.08 and p = 0.2, respectively).ConclusionsIntravenous insulin administration is associated with an increased risk of ICU and hospital mortality, after correction for potential confounders. Parenteral glucose administration was limited in amount but was still associated with ICU mortality. However, based on these results, it is unknown whether this association is an epiphenomenon, or represents a true harm of insulin and glucose administration.

RationaleHospitals are increasingly using critical care outreach teams (CCOTs) to respond to patients deteriorating outside intensive care units (ICUs). CCOT staffing is variable across hospitals and optimal team composition is unknown.ObjectivesTo assess whether adding a critical care medicine trained physician assistant (CCM-PA) to a critical care outreach team (CCOT) impacts clinical and process outcomes.MethodsWe performed a retrospective study of two cohorts—one with a CCM-PA added to the CCOT (intervention hospital) and one with no staffing change (control hospital)—at two facilities in the same system. All adults in the emergency department and hospital for whom CCOT consultation was requested from October 1, 2012-March 16, 2013 (pre-intervention) and January 5-March 31, 2014 (post-intervention) were included. We performed difference-in-differences analyses comparing pre- to post-intervention periods in the intervention versus control hospitals to assess the impact of adding the CCM-PA to the CCOT.Measurements and Main ResultsOur cohort consisted of 3,099 patients (control hospital: 792 pre- and 595 post-intervention; intervention hospital: 1114 pre- and 839 post-intervention). Intervention hospital patients tended to be younger, with fewer comorbidities, but with similar severity of acute illness. Across both periods, hospital mortality (p = 0.26) and hospital length of stay (p = 0.64) for the intervention vs control hospitals were similar, but time-to-transfer to the ICU was longer for the intervention hospital (13.3–17.0 vs 11.5–11.6 hours, p = 0.006). Using the difference-in-differences approach, we found a 19.2% reduction (95 confidence interval: 6.7%-31.6%, p = 0.002) in the time-to-transfer to the ICU associated with adding the CCM-PA to the CCOT; we found no difference in hospital mortality (p = 0.20) or length of stay (p = 0.52).ConclusionsAdding a CCM-PA to the CCOT was associated with a notable reduction in time-to-transfer to the ICU; hospital mortality and length of stay were not impacted.

Mortality and Prognostic Factors of Adult Patients with Acute Leukemia Admitted to the ICU: A Systematic Review

Predictors of Outcome Among Adults With Acute Exacerbation of COPD: A Retrospective Cohort Study

Mortality comparison between the first and second/third waves among 3,795 critical COVID-19 patients with pneumonia admitted to the ICU: A multicentre retrospective cohort study

Introduction An initial hypothesis regarding outcomes of COVID-19 infection linked worse outcomes to a dysregulated hyperinflammatory response. As a result, immunosuppressive medications have been proposed for treatment of severe cases of COVID-19. We sought to evaluate the impact of immune compromise in patients admitted for COVID-19-related pneumonia. Methods We constructed a retrospective observational study including patients admitted with COVID-19 pneumonia at Barnes Jewish/Christian (BJC) Hospitals between March 15 to May 13. Washington University School of Medicine IRB waived the need for informed consent. Inclusion criteria were duration of admission of more than 24 hours and positive nasopharyngeal RT-PCR for SARS-CoV-2. Data collection and follow-up were completed on August 27. Collected data included demographics, comorbidities (Elixhauser comorbidity score, nursing home residence, cardiovascular, renal, and pulmonary conditions, diabetes, obesity, substance abuse) and markers of severity of presentation (presence of shock, need for mechanical ventilation). Immunocompromising conditions were grouped in: hematological malignancy or bone marrow transplantation, solid organ transplantation, solid cancer on chemotherapy, TNF-α inhibitor use, and chronic glucocorticoid use. Primary outcome was all-cause mortality, and secondary outcomes were need for ICU stay, length of ICU stay, need for mechanical ventilation (MV), and MV-free days. ICU stay was defined as beginning when more than 6 L of oxygen were needed and ending with discharge from the ICU. Results 627 patients met the inclusion criteria and 80 (14.6%) were immunocompromised at admission. Immunocompromised patients were more likely to be non- African American and with lower BMI. Immunocompromised patients were as likely to develop shock (21.3% vs 28.7%, p=0.164), require ICU admission (33.8% vs 38.8%, p=0.389), mechanical ventilation (22.5% vs 28.5%, p=0.275), and die when compared to non-immunocompromised patients (20% vs 26.1%, p=0.238). Age (OR: 1.08;95% CI:1.06-1.10, p 6 L of oxygen (OR: 4.7;95% CI: 2.4- 9.1, p < 0.001) and mechanical ventilation (OR: 2.3;95% CI: 1.2-4.5, p=0.02) were significant predictors for mortality in multivariable logistic regression analyses. Immunocompromised status did not impact admission to the ICU and all-cause mortality. Conclusion Immunocompromised status does not seem to impact mortality and need for ICU admission for COVID-19 patients in our multi-center cohort. Future larger studies and analyses including treatment data will further characterize the trajectory of immunocompromised patients admitted for COVID-19 related pneumonia.

To establish whether the age of patients admitted into the intensive care unit (ICU) influences the amount of therapy received. Observational, prospective, multicenter study. Eighty-six multidisciplinary ICUs in Spain, including coronary patients. The patients (n = 8,838) were studied during a 6-month period between 1992 and 1993. Patients < 16 yrs of age and patients dying within the first 6 hrs were excluded from the study. We collected data on age, gender, type of diagnosis at the time of admission, severity level by Acute Physiology and Chronic Health Evaluation (APACHE) II and III, quality of life survey score, therapeutic activity during the first 24 hrs by Therapeutic Intervention Scoring System, and ICU and hospital mortality rates. In the sample of patients, 12.5% were > 75 yrs of age. Compared with younger patients, these patients had higher APACHE II (18.41 +/- 0.23 vs. 15.14 +/- 0.09 points, p < .001) and APACHE III (65.8 +/- 0.81 vs. 53.32 +/- 0.33 points, p < .001) scores, a higher quality of life survey score (i.e., worse quality of life, 7.19 +/- 0.19 vs. 3.86 +/- 0.05 points, p < .001), and a greater ICU mortality rate (21.9% vs. 15.3%, p < .00001) and hospital mortality rate (30.8% vs. 19.3%, p < .00001). However, patients > 75 yrs had a lower Therapeutic Intervention Scoring System score (19.83 +/- 0.28 vs. 21.17 +/- 0.12 points, p < .001). Multivariate analysis showed that once severity, need for mechanical ventilation, diagnostic group, and mortality rate were taken into account, there was less therapeutic activity in patients > 75 yrs of age. Patients > 75 yrs of age represent a large proportion of patients in Spanish ICUs. Although their mortality rate and severity scores were higher than those values in younger patients, patients > 75 yrs of age received less therapy.

To determine the effect of different intensivist staffing models on clinical outcomes for critically ill patients. A sensitive search of electronic databases and hand-search of major critical care journals and conference proceedings was completed in October 2012. Comparative observational studies examining intensivist staffing patterns and reporting hospital or ICU mortality were included. Of 16,774 citations, 52 studies met the inclusion criteria. We used random-effects meta-analytic models unadjusted for case-mix or cluster effects and quantified between-study heterogeneity using I. Study quality was assessed using the Newcastle-Ottawa Score for cohort studies. High-intensity staffing (i.e., transfer of care to an intensivist-led team or mandatory consultation of an intensivist), compared to low-intensity staffing, was associated with lower hospital mortality (risk ratio, 0.83; 95% CI, 0.70-0.99) and ICU mortality (pooled risk ratio, 0.81; 95% CI, 0.68-0.96). Significant reductions in hospital and ICU length of stay were seen (-0.17 d, 95% CI, -0.31 to -0.03 d and -0.38 d, 95% CI, -0.55 to -0.20 d, respectively). Within high-intensity staffing models, 24-hour in-hospital intensivist coverage, compared to daytime only coverage, did not improved hospital or ICU mortality (risk ratio, 0.97; 95% CI, 0.89-1.1 and risk ratio, 0.88; 95% CI, 0.70-1.1). The benefit of high-intensity staffing was concentrated in surgical (risk ratio, 0.84; 95% CI, 0.44-1.6) and combined medical-surgical (risk ratio, 0.76; 95% CI, 0.66-0.83) ICUs, as compared to medical (risk ratio, 1.1; 95% CI, 0.83-1.5) ICUs. The effect on hospital mortality varied throughout different decades; pooled risk ratios were 0.74 (95% CI, 0.63-0.87) from 1980 to 1989, 0.96 (95% CI, 0.69-1.3) from 1990 to 1999, 0.70 (95% CI, 0.54-0.90) from 2000 to 2009, and 1.2 (95% CI, 0.84-1.8) from 2010 to 2012. These findings were similar for ICU mortality. High-intensity staffing is associated with reduced ICU and hospital mortality. Within a high-intensity model, 24-hour in-hospital intensivist coverage did not reduce hospital, or ICU, mortality. Benefits seen in mortality were dependent on the type of ICU and decade of publication.

Patients with advanced acute kidney injury (AKI) and end-stage dialysis dependent renal failure (ESRF) are characterized by loss of renal function as well as significant associated co-morbidities. However, prognosis appears to differ when they are admitted to the intensive care unit (ICU). Patients with advanced AKI have a reported ICU mortality between 25% and 90%, depending on the specific patient population and the definition of AKI [1,2], whereas ICU mortality in ESRF patients has been reported to be 9% to 26% [3-5]. In contrast, Uchino and coworkers [5] found no difference in outcome between 32 ESRF patients in an ICU and 32 diagnosis and severity score matched patients with AKI treated with renal replacement therapy (RRT). We retrospectively analyzed the Riyadh Intensive Care Program database of 41,972 adult patients admitted to ICUs in 19 hospitals in the UK and three hospitals in Germany between 1989 to 1999, and we compared ESRF patients and patients with advanced AKI (defined by serum creatinine ≥ 354 μmol/l, treatment with RRT or a rise in serum creatinine by >300% from baseline). A total of 797 patients had pre-existing ESRF and 2,782 patients had advanced AKI, of whom 66.4% were treated with RRT. ESRF patients had a significantly lower ICU and hospital mortality and shorter stay in ICU compared with patients with advanced AKI (Table ​(Table1).1). In both groups the ICU mortality rate rose with increasing number of associated failed organ systems (Figure ​(Figure1).1). However, patients with AKI had significantly more associated organ failures during their stay in the ICU; 75.4% of patients with AKI on RRT and 54.5% of patients with advanced AKI not on RRT had two or more other failed organ systems, in contrast to only 25.6% of ESRF patients. In addition, significantly more patients with AKI on RRT needed mechanical ventilation compared with ESRF patients (91.3% versus 60.9%, P < 0.0001). Figure 1 Associated maximum organ failure and impact on outcome. Shown are (a) incidence (%) and (b) ICU mortality (%). AKI, acute kidney injury; ESRF, end-stage renal failure; ICU, intensive care unit; OF, maximum associated organ failure during stay in ICU (excluding ... Table 1 Characteristics of patients with AKI and ESRF In a multivariate analysis, mechanical ventilation (odds ratio (OR) = 3.3), maximum number of failed organs (OR = 2.93) and nonsurgical admission (OR = 2.1) were the strongest independent risk factors for ICU mortality, followed by emergency surgery (OR = 1.75), pre-existing chronic disease (OR = 1.2), SOFA score on admission to ICU (OR = 1.05) and age (OR = 1.03). Our study confirms that patients with ESRF admitted to ICU had a significantly better prognosis than did ICU patients with advanced AKI. The main reasons were due to differences in co-morbid risk factors, in particular need for mechanical ventilation and associated organ failure while in the ICU.

Given the numerous recent changes in ICU practices and protocols, we sought to confirm whether favorable effects of telemedicine ICU interventions on ICU mortality and length of stay can be replicated by a more recent telemedicine ICU intervention. Observational before-after telemedicine ICU intervention study in seven adult ICUs in two hospitals. The study included 1,403 patients in the preintervention period (October 2014 to September 2015) and 14,874 patients in the postintervention period (January 2016 to December 2018). Telemedicine ICU implementation. ICU and hospital mortality and length of stay, best practice adherence rates, and telemedicine ICU performance metrics. Unadjusted ICU and hospital mortality and lengths of stay were not statistically significantly different. Adjustment for Acute Physiology and Chronic Health Evaluation Version IVa score, ICU type, and ICU admission time via logistic regression yielded significantly lower ICU and hospital mortality odds ratios of 0.58 (95% CI, 0.45-0.74) and 0.66 (95% CI, 0.54-0.80), respectively. When adjusting for acuity by comparing observed-over-expected length of stay ratios through Acute Physiology and Chronic Health Evaluation IVa methodology, we found significantly lower ICU and hospital length of stay in the postintervention group. ICU mortality improvements were driven by nighttime ICU admissions (odds ratio 0.45 [95% CI, 0.33-0.61]) as compared to daytime ICU admissions (odds ratio 0.81 [95% CI, 0.55-1.20]), whereas hospital mortality improvements were seen in both subgroups but more prominently in nighttime ICU admissions (odds ratio 0.57 [95% CI, 0.44-0.74]) as compared to daytime ICU admissions (odds ratio 0.73 [95% CI, 0.55-0.97]), suggesting that telemedicine ICU intervention can effectively supplement low intensity bedside staffing hours (nighttime). In this pre-post observational study, telemedicine ICU intervention was associated with improvements in care standardization and decreases in ICU and hospital mortality and length of stay. The mortality benefits were mediated in part through telemedicine ICU supplementation of low intensity bedside staffing hours.

BackgroundLung ultrasound may be a reasonable alternative to chest radiography for the identification of acute respiratory distress syndrome (ARDS), but the diagnostic performance of lung ultrasound for ARDS is uncertain. We therefore analyzed the clinical outcomes of ARDS diagnosed according to the Berlin Definition, using either chest radiography (Berlin-CXR) or lung ultrasound (Berlin-LUS) as an alternative imaging method.MethodsThis was a retrospective observational study in a 20-bed medical intensive care unit (ICU). Patients who required noninvasive ventilation or invasive ventilation for hypoxemic respiratory failure on ICU admission from August 2014 to March 2017 were included. Both chest radiography and lung ultrasound were performed routinely upon ICU admission. Comparisons were made using either the Berlin-CXR or Berlin-LUS definitions to diagnose ARDS with respect to the patient characteristics and clinical outcomes for each definition. ICU and hospital mortality were the main outcome measures for both definitions.ResultsThe first admissions of 456 distinct patients were analyzed. Compared with the 216 patients who met the Berlin-CXR definition (ICU mortality 19.4%, hospital mortality 36.1%), 229 patients who met the Berlin-LUS definition (ICU mortality 22.7%, hospital mortality 34.5%) and 79 patients who met the Berlin-LUS but not the Berlin-CXR definition (ICU mortality 21.5%, hospital mortality 29.1%) had similar outcomes. In contrast, the 295 patients who met either definition had higher mortality than the 161 patients who did not meet either definition (ICU mortality 20.0% versus 12.4%, P = 0.041; hospital mortality 34.2% versus 24.2%, P = 0.027). Compared with Berlin-CXR, Berlin-LUS had a positive predictive value of 0.66 (95% confidence interval 0.59–0.72) and a negative predictive value of 0.71 (0.65–0.77). Among the 216 Berlin-CXR ARDS patients, 150 patients (69.4%) also fulfilled Berlin-LUS definition.ConclusionsFor the identification of ARDS using the Berlin definition, both chest radiography and lung ultrasound were equally related to mortality. The Berlin definition using lung ultrasound helped identify patients at higher risk of death, even if these patients did not fulfill the conventional Berlin definition using chest radiography. However, the moderate overlap of patients when chest imaging modalities differed suggests that chest radiography and lung ultrasound should be complementary rather than used interchangeably.

Data about end-stage kidney disease patients admitted to the ICU are scarce, dated, and mostly limited to short-term survival. The aim of this study was to assess the short- and long-term outcome and to determine the prognostic factors for end-stage kidney disease patients admitted to the ICU. Prospective observational study. Medical ICUs in two university hospitals. Consecutive end-stage kidney disease patients admitted in two ICUs between 2012 and 2017. None. Renal replacement therapy variables, demographic, clinical, and biological data were collected. The requirement of mechanical ventilation and vasopressive drugs were also collected. In-ICU and one-year mortality were estimated and all data were analyzed in order to identify predictive factors of short and long-term mortality. A total of 140 patients were included, representing 1.7% of total admissions over the study period. Septic shock was the main reason for admission mostly of pulmonary origin. Median Simplified Acute Physiology Score II and Sequential Organ Failure Assessment score were at 63 and 6.7, respectively. In-ICU, hospital, and 1-year mortality were 41.4%, 46.4%, and 63%, respectively. ICU mortality was significantly higher as compared with ICU control group non-end-stage kidney disease (25% vs 41.4%; p = 0.005). By multivariate analysis, the short-term outcome was significantly associated with nonrenal Sequential Organ Failure Assessment score, and with the requirement of mechanical ventilation or/and vasoconstrictive agents during ICU stay. One-year mortality was associated with increased dialysis duration (> 3 yr) and phosphatemia (> 2.5 mmol/L), with lower albuminemia (< 30 g/L) and nonrenal Sequential Organ Failure Assessment greater than 8. End-stage kidney disease patients presented frequently severe complications requiring critical care that induced significant short- and long-term mortality. ICU and hospital mortality depended mainly on the severity of the critical event reflected by Sequential Organ Failure Assessment score and the need of mechanical ventilation and/or catecholamines. One-year mortality was associated with both albuminemia and phosphatemia and with prior duration of chronic dialysis treatment, and with organ failure at ICU admission.

The relationship between the lung and kidney investigated in animal and clinical models has demonstrated substantial crosstalk. We aimed to evaluate the association between single vs. concurrent AKI and ARDS and its impact on patient outcomes. Secondly, we aimed to assess whether the order of appearance of these pathologies affected patient outcomes in patients with both diseases. This single-center retrospective cohort study included adult patients admitted to the ICU from January 1, 2007 through May 1, 2018 (n = 76,988). Baseline characteristics and outcomes were compared among patients without ARDS or AKI and those with one or both ARDS and AKI. We also assessed outcomes across the order of appearance of these diseases among patients with both AKI and ARDS. We enrolled 76,988 unique patients in the final analysis: 47,043 patients with neither AKI nor ARDS, 491 patients with ARDS alone, 27,928 patients with AKI alone, and 1,526 patients with both ARDS and AKI. Patients with both ARDS and AKI had higher ICU (21.2%) and hospital (28.4%) mortality compared to patients with ARDS alone (9.0% ICU mortality, 14.0% hospital mortality) or AKI alone (4.4% ICU mortality, 8.4% hospital mortality) (p < 0.001). These findings remainedunchanged after adjusting for illness severity and comorbidities. Of the 1136 patients with both AKI and ARDS, 136 (12%) developed AKI first, 303 (27%) ARDS first, and 697 (61%) had simultaneous diseases. Patients who developed ARDS after AKI had significantly increased ICU (29.4%) and hospital (36.8%) mortality compared to patients who developed AKI after ARDS (13.9% ICU mortality, 21.5% hospital mortality) (p < 0.001). The combination ofAKI and ARDS leads to worse outcomes, including longer hospital and ICU lengths of stay, higher mortality, longer kidney replacement therapy, and longer ventilation requirements than in patients with AKI or ARDS alone. Among patients with both diagnoses, those who developed ARDS after AKI had the highest mortality.

The number of life-threatening conditions requiring admission to intensive care units has increased substantially in low-income countries, partly due to the expansion of hospital services. In Ethiopia, ICU mortality rates vary across regions. However, evidence regarding the magnitude of ICU mortality and its associated predictors remains limited and inconclusive. To assess the magnitude of the mortality rate and its predictors among hospitalized adult patients A two-center retrospective cross-sectional study was conducted among patients admitted to the ICU between December 1, 2023, and May 30, 2024. Data were collected using a pretested, structured questionnaire. The completed data were gathered via a web link developed using Kobo Toolbox (kobtoolbox.org), then coded, manually verified for completeness, and exported to SPSS version 27 for analysis. Descriptive statistics and logistic regression analyses were performed to evaluate the data. A total of 309 patient charts were reviewed. The median ICU stay was 5 days. The leading causes of ICU admission were postoperative conditions, septic shock, stroke, and congestive heart failure. The most common causes of death were septic shock, stroke, head trauma, and acute respiratory distress syndrome (ARDS). The overall mortality rate among ICU-admitted patients was 46.3%. A higher Charlson Comorbidity Index score, the need for mechanical ventilation at admission, and the presence of hospital-acquired infections were significantly associated with ICU mortality. Compared with some developed countries, the observed mortality rate in this cohort was higher. The findings of the present study indicate that hospital-acquired infections, the Charlson Comorbidity Index, and the need for mechanical ventilation were all significantly associated with mortality among intensive care unit patients.