Association between time of day for rapid response team activation and mortality

PurposeTo evaluate the frequency of rapid response team (RRT) calls by time of day and their association with in-hospital mortality.Materials and methodsThis was a retrospective cohort study of all RRT calls at a tertiary teaching hospital in Porto Alegre, Brazil. Patients were categorized according to the time of initial RRT activation. Activations were classified as daytime (7:00–18:59) or nighttime (19:00–6:59). The primary outcome was in-hospital mortality rate. The secondary outcome was ICU admission within 48 h of RRT assessment.ResultsDuring the study period, 4522 patients were included in the final analysis. Cardiovascular and respiratory changes were more common causes of nighttime activation, whereas neurological and laboratory changes were more common during the daytime. The in-hospital mortality rate was 23.9% (1081/4522). Nighttime RRT calls were not associated with worse outcomes than daytime calls. However, a decrease in the number of calls was observed during nursing handover periods (7:00, 13:00 and 19:00). Two time periods were associated with increased adjusted odds for mortality: 12:00–13:00 (adjusted OR 2.277; 95% CI 1.392–3.725) and 19:00–20:00 (adjusted OR 1.873; CI 1.873; 95% 1.099–3.190).ConclusionWe found that nighttime RRT calls were not associated with worse outcomes than daytime RRT calls. However, a decrease in the number of calls and higher mortality was observed during nursing handover periods.     

The effect of early vasopressin use on patients with septic shock: A systematic review and meta-analysis

BackgroundThe effect of early vasopressin initiation on clinical outcomes in patients with septic shock is uncertain. A systematic review and meta-analysis was performed to evaluate the impact of early start of vasopressin support within 6 h after the diagnosis on clinical outcomes in septic shock patients.MethodsWe searched the PubMed, Cochrane, and Embase databases for randomized controlled trials (RCTs) and cohort studies from inception to the 1st of February 2021. We included studies involving adult patients (> 16 years)with septic shock. All authors reported our primary outcome of short-term mortality and in the experimental group patients in the studies receiving vasopressin infusion within 6 h after diagnosis of septic shock and in the control group patients in the studies receiving no vasopressin infusion or vasopressin infusion 6 h after diagnosis of septic shock, clearly comparing with clinically relevant secondary outcomes(use of renal replacement therapy(RRT),new onset arrhythmias, ICU length of stay and length of hospitalization). Results were expressed as odds ratio (OR) and mean difference (MD) with accompanying 95% confidence interval (CI).ResultsFive studies including 788 patients were included. The primary outcome of this meta-analysis showed that short-term mortality between the two groups was no difference (odds ratio [OR] = 1.09; 95% CI, 0.8 to 1.48; P = 0.6; χ2 = 0.83; I2 = 0%). Secondary outcomes demonstrated that the use of RRT was less in the experimental group than that of the control group (OR = 0.63; 95% CI, 0.44 to 0.88; P = 0.007; χ2 = 3.15; I2 = 36%).The new onset arrhythmias between the two groups was no statistically significant difference (OR = 0.59; 95% CI, 0.31 to 1.1; P = 0.10; χ2 = 4.7; I2 = 36%). There was no statistically significant difference in the ICU length of stay(mean difference = 0.16; 95% CI, − 0.91 to 1.22; P = 0.77; χ2 = 6.08; I2 = 34%) and length of hospitalization (mean difference = −2.41; 95% CI, −6.61 to 1.78; P = 0.26; χ2 = 8.57; I2 = 53%) between the two groups.ConclusionsEarly initiation of vasopressin in patients within 6 h of septic shock onset was not associated with decreased short-term mortality, new onset arrhythmias, shorter ICU length of stay and length of hospitalization, but can reduce the use of RRT. Further large-scale RCTs are still needed to evaluate the benefit of starting vasopressin in the early phase of septic shock.     

Do ventilatory parameters influence outcome in patients with severe acute respiratory infection? Secondary analysis of an international,multicentre14-day inception cohort study

PurposeTo investigate the possible association between ventilatory settings on the first day of invasive mechanical ventilation (IMV) and mortality in patients admitted to the intensive care unit (ICU) with severe acute respiratory infection (SARI).Materials and methodsIn this pre-planned sub-study of a prospective, multicentre observational study, 441 patients with SARI who received controlled IMV during the ICU stay were included in the analysis.ResultsICU and hospital mortality rates were 23.1 and 28.1%, respectively. In multivariable analysis, tidal volume and respiratory rate on the first day of IMV were not associated with an increased risk of death; however, higher driving pressure (DP: odds ratio (OR) 1.05; 95% confidence interval (CI): 1.01–1.1, p = 0.011), plateau pressure (Pplat) (OR 1.08; 95% CI: 1.04–1.13, p < 0.001) and positive end-expiratory pressure (PEEP) (OR 1.13; 95% CI: 1.03–1.24, p = 0.006) were independently associated with in-hospital mortality. In subgroup analysis, in hypoxemic patients and in patients with acute respiratory distress syndrome (ARDS), higher DP, Pplat, and PEEP were associated with increased risk of in-hospital death.ConclusionsIn patients with SARI receiving IMV, higher DP, Pplat and PEEP, and not tidal volume, were associated with a higher risk of in-hospital death, especially in those with hypoxemia or ARDS.     

Clinical factors associated with initiation of renal replacement therapy in critically ill patients with acute kidney injury-a prospective multicenter observational study

Purpose

Our objective was to describe the current practice for initiation of RRT in this population. There is uncertainty regarding the optimal time to initiate renal replacement therapy (RRT) in critically ill patients with acute kidney injury (AKI).

Methods

Prospective study of patients receiving RRT in 6 intensive care units (ICUs) at 3 hospitals from July 2007 to August 2008. We characterized factors associated with start of RRT and evaluated their relationship with mortality.

Results

We included 234 patients. RRT was initiated 1 day (0-4) after ICU admission (median [interquartile range]). Median creatinine was 331 μmol/L (225-446 μmol/L), urea 22.9 mmol/L (13.9-32.9 mmol/L), and RIFLE-Failure in 76.9%. Of traditional indications, Pao₂/Fio₂ < 200 (54.5%) and oliguria (32.9%) were most common. ICU and hospital mortality were 45.3% and 51.9%, respectively. In adjusted analysis, mortality at RRT initiation was associated with creatinine <332 μmol/L (odds ratio [OR] 2.8; 95% confidence interval [CI] 1.5-5.4), change in urea from admission >8.9 mmol/L (OR 1.8; 95% CI, 1.0-3.4), urine output <82 mL/24 hours (OR 3.0; 95% CI, 1.4-6.5), fluid balance >3.0 L/24 hours (OR 2.3; 95% CI, 1.2-4.5), percentage of fluid overload >5% (OR 2.3; 95% CI, 1.2-4.7), 3 or more failing organs (OR 4.5; 95% CI, 1.2-4.2), Sequential Organ Failure Assessment score >14 (OR 2.3; 95% CI, 1.3-4.3), and start 4 days or more after admission (OR 4.3; 95% CI, 1.9-9.5). Mortality was higher as factors accumulated.

Conclusion

In ICU patients requiring RRT, there was marked variation in factors that influence start of RRT. RRT initiation with fewer clinical triggers was associated with lower mortality. Timing of RRT may modify survival but requires appraisal in a randomized trial.     

Annual prevalence,characteristics, and outcomes of intensive care patients with skin or soft tissue infections in Australia and New Zealand: A retrospective cohort study between 2006-2017

BackgroundThere are limited published data on the epidemiology of skin and soft tissue infections (SSTIs) requiring intensive care unit (ICU) admission. This study intended to describe the annual prevalence, characteristics, and outcomes of critically ill adult patients admitted to the ICU for an SSTI.MethodsThis was a registry-based retrospective cohort study, using data submitted to the Australian and New Zealand Intensive Care Society Adult Patient Database for all admissions with SSTI between 2006 and 2017. The inclusion criteria were as follows: primary diagnosis of SSTI and age ≥16 years. The exclusion criteria were as follows: ICU readmissions (during the same hospital admission) and transfers from ICUs from other hospitals. The primary outcome was in-hospital mortality, and the secondary outcomes were ICU mortality and length of stay (LOS) in the ICU and hospital with independent predictors of outcomes.ResultsAdmissions due to SSTI accounted for 10 962 (0.7%) of 1 470 197 ICU admissions between 2006 and 2017. Comorbidities were present in 25.2% of the study sample. The in-hospital mortality was 9% (991/10 962), and SSTI necessitating ICU admission accounted for 0.07% of in-hospital mortality of all ICU admissions between 2006 and 2017. Annual prevalence of ICU admissions for SSTI increased from 0.4% to 0.9% during the study period, but in-hospital mortality decreased from 16.1% to 6.8%. The median ICU LOS was 2.1 days (interquartile range = 3.4), and the median hospital LOS was 12.1 days (interquartile range = 20.6). ICU LOS remained stable between 2006 and 2017 (2.0–2.1 days), whereas hospital LOS decreased from 15.7 to 11.2 days. Predictors for in-hospital mortality included Australian and New Zealand Risk of Death scores [odds ratio (OR): 1.07; confidence interval (CI) (1.05, 1.09); p < 0.001], any comorbidity except diabetes [OR: 2.00; CI (1.05, 3.79); p = 0.035], and admission through an emergency response call [OR: 2.07; CI (1.03, 4.16); p = 0.041].ConclusionsSSTIs are uncommon as primary ICU admission diagnosis. Although the annual prevalence of ICU admissions for SSTI has increased, in-hospital mortality and hospital LOS have decreased over the last decade.     

The ETHICA study (part II): simulation study of determinants and variability of ICU physician decisions in patients aged 80 or over

Purpose

To assess physician decisions about ICU admission for life-sustaining treatments (LSTs).

Methods

Observational simulation study of physician decisions for patients aged ≥80 years. Each patient was allocated at random to four physicians who made decisions based on actual bed availability and existence of an additional bed before and after obtaining information on patient preferences. The simulations involved non-invasive ventilation (NIV), invasive mechanical ventilation (IMV), and renal replacement therapy after a period of IMV (RRT after IMV).

Results

The physician participation rate was 100/217 (46 %); males without religious beliefs predominated, and median ICU experience was 9 years. Among participants, 85.7, 78, and 62 % felt that NIV, IMV, or RRT (after IMV) was warranted, respectively. By logistic regression analysis, factors associated with admission were age <85 years, self-sufficiency, and bed availability for NIV and IMV. Factors associated with IMV were previous ICU stay (OR 0.29, 95 % CI 0.13–0.65, p = 0.01) and cancer (OR 0.23, 95 % CI 0.10–0.52, p = 0.003), and factors associated with RRT (after IMV) were living spouse (OR 2.03, 95 % CI 1.04–3.97, p = 0.038) and respiratory disease (OR 0.42, 95 % CI 0.23–0.76, p = 0.004). Agreement among physicians was low for all LSTs. Knowledge of patient preferences changed physician decisions for 39.9, 56, and 57 % of patients who disagreed with the initial physician decisions for NIV, IMV, and RRT (after IMV) respectively. An additional bed increased admissions for NIV and IMV by 38.6 and 13.6 %, respectively.

Conclusions

Physician decisions for elderly patients had low agreement and varied greatly with bed availability and knowledge of patient preferences.     

Delivered dose of renal replacement therapy and mortality in critically ill patients with acute kidney injury

Introduction

The optimal dialysis dose for the treatment of acute kidney injury (AKI) is controversial. We sought to evaluate the relationship between renal replacement therapy (RRT) dose and outcome.

Methods

We performed a prospective multicentre observational study in 30 intensive care units (ICUs) in eight countries from June 2005 to December 2007. Delivered RRT dose was calculated in patients treated exclusively with either continuous RRT (CRRT) or intermittent RRT (IRRT) during their ICU stay. Dose was categorised into more-intensive (CRRT ≥ 35 ml/kg/hour, IRRT ≥ 6 sessions/week) or less-intensive (CRRT < 35 ml/kg/hour, IRRT < 6 sessions/week). The main outcome measures were ICU mortality, ICU length of stay and duration of mechanical ventilation.

Results

Of 15,200 critically ill patients admitted during the study period, 553 AKI patients were treated with RRT, including 338 who received CRRT only and 87 who received IRRT only. For CRRT, the median delivered dose was 27.1 ml/kg/hour (interquartile range (IQR) = 22.1 to 33.9). For IRRT, the median dose was 7 sessions/week (IQR = 5 to 7). Only 22% of CRRT patients and 64% of IRRT patients received a more-intensive dose. Crude ICU mortality among CRRT patients were 60.8% vs. 52.5% (more-intensive vs. less-intensive groups, respectively). In IRRT, this was 23.6 vs. 19.4%, respectively. On multivariable analysis, there was no significant association between RRT dose and ICU mortality (Odds ratio (OR) more-intensive vs. less-intensive: CRRT OR = 1.21, 95% confidence interval (CI) = 0.66 to 2.21; IRRT OR = 1.50, 95% CI = 0.48 to 4.67). Among survivors, shorter ICU stay and duration of mechanical ventilation were observed in the more-intensive RRT groups (more-intensive vs. less-intensive for all: CRRT (median): 15 (IQR = 8 to 26) vs. 19.5 (IQR = 12 to 33.5) ICU days, P = 0.063; 7 (IQR = 4 to 17) vs. 14 (IQR = 5 to 24) ventilation days, P = 0.031; IRRT: 8 (IQR = 5.5 to 14) vs. 18 (IQR = 13 to 35) ICU days, P = 0.008; 2.5 (IQR = 0 to 10) vs. 12 (IQR = 3 to 24) ventilation days, P = 0.026).

Conclusions

After adjustment for multiple variables, these data provide no evidence for a survival benefit afforded by higher dose RRT. However, more-intensive RRT was associated with a favourable effect on ICU stay and duration of mechanical ventilation among survivors. This result warrants further exploration.

Trial Registration

Cochrane Renal Group (CRG110600093).     

Failure of vital sign normalization is more strongly associated than single measures with mortality and outcomes

BackgroundModified Early Warning Systems (MEWS) scores offer proxies for morbidity and mortality that are easily acquired, but there are limited data on what changing MEWS scores within the ED indicate. We examined the correlation of changing MEWS scores during resuscitation in the ED and in-hospital morbidity and mortality.MethodsWe conducted a retrospective analysis on medical ED patients with simplified MEWS scores (without urine output or mental status) admitted to a single academic tertiary care center over one year. Triage-to-Last delta MEWS score and Triage-to-Max delta MEWS scores were calculated and correlated to in-hospital mortality, ICU admission, length of stay (LOS) and diagnosis of sepsis.ResultsOur analysis included 8322 ED patients with an ICU admission rate of 17% and a mortality rate of 2%. Every point of worsened MEWS after triage was more strongly associated with all-cause mortality (OR 2.41, 95% CI 1.96–2.97) than triage MEWS alone (OR 1.33, 95% CI 1.23–1.44; p < 0.001). Likewise, each point of worsened MEWS was associated with increased odds of ICU admission (Triage-to-Last: OR 2.12, 95% CI 1.92–2.33 and Triage-to-Max: OR 1.52, 95% CI 1.45–1.60, respectively). Among patients with suspected infection, similar associations are found.ConclusionsDynamic vital signs in the emergency department, as categorized by delta MEWS, and failure to normalize abnormalities, were associated with increased mortality, ICU admission, LOS, and the diagnosis of sepsis. Our results suggest that MEWS scores that do not normalize, from triage onward, are more strongly associated with outcome than any single score.     

Emergency Department Triage Early Warning Score (TREWS) predicts in-hospital mortality in the emergency department

AimThe purpose is to assess the adequacy of the National Early Warning Score (NEWS) in the emergency department (ED) and the usefulness of the Triage in Emergency Department Early Warning Score (TREWS) that has been developed using the NEWS in the ED.MethodsIn this retrospective observational cohort study, we performed univariable and multivariable regression analyses with 81,520 consecutive ED patients to develop a new scoring system, the TREWS. The primary outcome was in-hospital mortality within 24 h, and secondary outcomes were in-hospital mortality within 48 h, 7 days, and 30 days. The prognostic properties of the TREWS were compared with those of the NEWS, Modified Early Warning Score (MEWS), and Rapid Emergency Medicine Score (REMS) using the area under the receiver operating characteristic curve (AUC) technique.ResultsThe AUC of the TREWS for in-hospital mortality within 24 h was 0.906 (95% CI, 0.903–0.908), those of the NEWS, MEWS, and REMS were 0.878 (95% CI, 0.875–0.881), 0.857 (95% CI, 0.854–0.860), and 0.834 (95% CI, 0.831–0.837), respectively. Differences in the AUC between the TREWS and NEWS, the TREWS and MEWS, and the TREWS and REMS were 0.028 (95% CI, 0.022–0.033; p < .001), 0.049 (95% CI, 0.041–0.057; p < .001), and 0.072 (95% CI, 0.063–0.080; p < .001), respectively. The TREWS showed significantly superior performance in predicting secondary outcomes.ConclusionThe TREWS predicts in-hospital mortality within 24 h, 48 h, 7 days, and 30 days better than the NEWS, MEWS, and REMS for patients arriving at the ED.     

On-admission anemia predicts mortality in COVID-19 patients: A single center,retrospective cohort study

ObjectivesWe investigated the impact of anemia based on admission hemoglobin (Hb) level as a prognostic risk factor for severe outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19).MethodsA single-center, retrospective cohort study was conducted from a random sample of 733 adult patients (age ≥ 18 years) obtained from a total of 4356 laboratory confirmed SARS-CoV-2 cases who presented to the Emergency Department of Montefiore Medical Center between March–June 2020. The primary outcome was a composite endpoint of in-hospital severe outcomes of COVID-19. A secondary outcome was in-hospital all-cause mortality.ResultsAmong the 733 patients included in our final analysis, 438 patients (59.8%) presented with anemia. 105 patients (14.3%) had mild, and 333 patients (45.5%) had moderate-severe anemia. Overall, 437 patients (59.6%) had a composite endpoint of severe outcomes. On-admission anemia was an independent risk factor for all-cause mortality, (Odds Ratio 1.52, 95% CI [1.01–2.30], p = 0.046) but not for composite severe outcomes. However, moderate-severe anemia (Hb < 11 g/dL) on admission was independently associated with both severe outcomes (OR1.53, 95% CI [1.05–2.23], p = 0.028) and mortality (OR 1.67, 95% CI [1.09–2.56], p = 0.019) during hospitalization.ConclusionAnemia on admission was independently associated with increased odds of all-cause mortality in patients hospitalized with COVID-19. Furthermore, moderate-severe anemia (Hb <11 g/dL) was an independent risk factor for severe COVID-19 outcomes. Moving forward, COVID-19 patient management and risk stratification may benefit from addressing anemia on admission.     

The effect of delays in second-dose antibiotics on patients with severe sepsis and septic shock

BackgroundEarly antibiotics are fundamental to sepsis management. Second-dose antibiotic delays were associated with increased mortality in a recent study. Study objectives include: 1) determine factors associated with delays in second-dose antibiotic administration; 2) evaluate if delays influence clinical outcomes.MethodsED-treated adults (≥18 years; n = 1075) with severe sepsis or septic shock receiving ≥2 doses of intravenous antibiotics were assessed, retrospectively, for second-dose antibiotic delays (dose time > 25% of recommended interval). Predictors of delay and impact on outcomes were determined, controlling for MEDS score, 30 mL/kg fluids and antibiotics within three hours of sepsis onset, lactate, and renal failure, among others.ResultsIn total, 335 (31.2%) patients had delayed second-dose antibiotics. A total of 1864 second-dose antibiotics were included, with 354 (19.0%) delays identified by interval (delayed/total doses): 6-h (36/67) = 53.7%; 8-h (165/544) = 30.3%; 12-h (114/436) = 26.1%; 24-h (21/190) = 8.2%; 48-h (0/16) = 0%. In-hospital mortality in the timely group was 15.5% (shock-17.6%) and 13.7% in the delayed group (shock-16.9%). Increased odds of delay were observed for ED boarding (OR 2.54, 95% 1.81–3.55), shorter dosing intervals (6/8-h- OR 2.99, 95% CI 1.95–4.57; 12-h- OR 2.46, 95% CI 1.72–3.51), receiving 30 mL/kg fluids by three hours (OR 1.42, 95% CI 1.06–1.90), and renal failure (OR 2.57, 95% CI 1.50–4.39). Delays were not associated with increased mortality (OR 0.87, 95% CI 0.58–1.29) or other outcomes.ConclusionsFactors associated with delayed second-dose antibiotics include ED boarding, antibiotics requiring more frequent dosing, receiving 30 mL/kg fluid, and renal failure. Delays in second-dose administration were not associated with mortality or other outcomes.     

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

PurposeHospital 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 methods7-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.ResultsMedian (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).ConclusionsICU transfer delay exponentially increased above a threshold hospital occupancy and may be associated with increased hospital mortality.     

Predictors of short-term mortality in critically ill patients with solid malignancies

Admission of cancer patients with serious medical complications to the ICU remains controversial primarily because of the high short-term mortality rates in these patients. However, the cancer patient population is heterogeneous regarding age, underlying conditions, and curability of their disease, suggesting that large variations may occur in the effectiveness of intensive care within this subgroup of critically ill patients.¶Objectives: To identify factors predicting 30-day mortality in patients with solid tumors admitted to a medical ICU.¶Patients and methods: We conducted a retrospective study in 120 consecutive cancer patients (excluding patients with hematological malignancies) admitted to the medical ICU of a 650-bed university hospital between January 1990 and July 1997. Medical history, physical and laboratory test findings at admission, and therapeutic interventions within the first 24 h in the ICU were recorded. The study endpoint was vital status 30 days after ICU admission. Stepwise logistic regression was used to identify independent prognostic factors.¶Results: The observed 30-day mortality rate was 58.7 % (n = 68), with most deaths (92 %) occurring in the ICU. Univariate predictors of 30-day mortality were either protective [prior surgery for the cancer (p = 0.01) and complete remission (p = 0.01)] or associated with higher mortality [Knaus scale C or D (p = 0.02), shock (p = 0.04), need for vasopressors (p = 0.0006) or for mechanical ventilation (p = 0.0001), SAPS II score greater than 36 (p = 0.0001), LOD score greater than 6 (p = 0.0001), and ODIN score > 2 (p = 0.0001)]. Three variables were independent predictors: previous surgery for the cancer (OR 0.20, 95 % CI 0.07–0.58), LOD score > 6 (OR 1.26, 95 % CI 1.09–1.44), and need for mechanical ventilation (OR 3.55, 95 % CI; 1.26–6.7). Variables previously thought to be indicative of a poor prognosis (i. e., advanced age, metastatic or progressive disease, neutropenia or bone marrow transplantation) were not predictive of outcome.¶Conclusion: When transfer to an ICU is considered an option by patients and physicians, 30-day mortality is better estimated by an evaluation of acute organ dysfunction than by the characteristics of the underlying malignancy.     

Intra-abdominal hypertension,fluid balance,and adverse outcomes after orthotopic liver transplantation

BackgroundIntra-abdominal hypertension (IAH) is frequently encountered in critically ill surgical patients. We aimed to evaluate the incidence of IAH after orthotopic liver transplant (OLT) and its impact on organ function, hospital length-of-stay (LOS), and death.MethodsThis prospective, observational, cohort study evaluated consecutive adult patients admitted in the ICU after undergoing OLT. Intra-abdominal pressure (IAP) was measured every 4–6 h for 3 days. Worsening IAP was defined as a gradual increase in IAP over a period of time. Daily fluid balance was the daily sum of all intakes minus the output.ResultsIAH was observed in 48% of the patients within the first 3 days after ICU admission, while ACS was diagnosed in 15%. Patients with IAH had a higher positive fluid balance at day 1 (1764 mL [812–2733 mL] vs. 1301 mL [241–1904 mL], p = 0.025). Worsening IAH was associated with fewer days free of organ dysfunction. IAH within 72 h after ICU admission was independently associated with a composite outcome of death or a longer ICU LOS (odds ratio 2.9; CI 95% 1.02–8.25, p = 0.043).ConclusionAfter OLT, nearly half of the patients presented IAH, that was associated with unfavorable outcomes.     

Heart rate before ICU discharge: a simple and readily available predictor of short- and long-term mortality from critical illness

Purpose

A heart rate >90 bpm serves as one of four characteristics defining the systemic inflammatory response syndrome and is used in scoring systems to predict in-hospital mortality of intensive care unit (ICU) patients. Despite its central role in critical illness, specific data regarding the relationship between heart rate and outcome are rare.

Methods

In this post hoc analysis of a prospectively collected database, we analyzed the value of heart rate averaged from four predefined time points during the last 24 h before ICU discharge as a predictor of post-ICU in-hospital and post-hospital mortality in medical ICU patients. Furthermore, the relationship between heart rate and inflammation, as well as the influence of rate control medications on the association between heart rate and outcome were identified.

Results

Among the 702 ICU patients discharged from the ICU, 7.1 % died before hospital discharge. At 4 years of follow-up, post-hospital mortality was 14.4 %. Multivariate Cox proportional hazards models revealed heart rate before ICU discharge (HR 5.95; 95 % CI 1.24–28.63; p = 0.03) as an independent predictor of post-ICU in-hospital mortality. Both heart rate (HR 2.56; 95 % CI, 1.05?6.34; p = 0.04) and the C-reactive protein serum concentration before ICU discharge (HR, 1.26; 95 % CI, 1.09–1.46; p = 0.002) were independently associated with post-hospital mortality. Heart rate control therapy reduced the risk of post-ICU in-hospital (HR 0.38; 95 % CI, 0.18–0.81; p = 0.01) and post-hospital (HR, 0.47; 95 % CI, 0.22–1.00; p = 0.05) mortality.

Conclusion

Heart rate evaluated 24 h before ICU discharge was independently associated with post-ICU in-hospital and post-hospital mortality. Pharmacological interventions to control heart rate may beneficially influence post-ICU mortality.     

The epidemiology of rapid response team activation amongst patients undergoing major gastrointestinal surgery

BackgroundClinical deterioration requiring rapid response team (RRT) review is associated with increased morbidity amongst hospitalised patients. The frequency of and association with RRT calls in patients undergoing major gastrointestinal surgery is unknown. Understanding the epidemiology of RRT calls might identify areas for quality improvement in this cohort.ObjectivesThe objective of this study is to identify perioperative risks and outcome associations with RRT review following major gastrointestinal surgery.MethodsWe conducted a retrospective cohort study using electronic databases at a large Australian university hospital. We included adult patients admitted for major gastrointestinal surgery between 1 January 2015 and 31 March 2018.ResultsOf 7158 patients, 514 (7.4%) required RRT activation postoperatively. After adjustment, variables associated with RRT activation included the following: hemiplegia/paraplegia (odds ratio [OR]: 8.0, 95% confidence interval [CI]: 2.3 to 27.8, p = 0.001), heart failure (OR: 6.9, 95% CI: 3.3 to 14.6, p < 0.001), peripheral vascular disease (OR: 5.3, 95% CI: 2.7 to 10.4, p < 0.001), peptic ulcer disease (OR: 4.2, 95% CI: 2.2 to 8.0, p < 0.001), chronic obstructive pulmonary disease (OR: 4.0, 95% CI: 2.2 to 7.2, p < 0.001), and emergency admission status (OR: 2.6, 95% CI: 2.1 to 3.3, p < 0.001). Following the index operation, 46% of first RRT activations occurred within 24 h of surgery and 61% had occurred within 48 h. The most common triggers for RRT activation were tachycardia, hypotension, and tachypnoea. Postoperative RRT activation was associated with in-hospital mortality (OR: 6.7, 95% CI: 3.8 to 11.8, p < 0.001), critical care admission (incidence rate ratio: 8.18, 95% CI: 5.23 to 12.77, p < 0.001), and longer median length of hospital stay (12 days vs. 2 days, p < 0.001) compared to no RRT activation.ConclusionAfter major gastrointestinal surgery, one in 14 patients had an RRT activation, almost half within 24 h of surgery. Such activation was independently associated with increased morbidity and mortality. Identified associations may guide more pre-emptive management for those at an increased risk of RRT activation.     

Critically Ill Health Care-Associated Urinary Tract Infection: Broad vs. Narrow Antibiotics in the Emergency Department Have Similar Outcomes

BackgroundUrinary tract infection (UTI) is the second most common infection requiring intensive care unit (ICU) admission in emergency department (ED) patients. Optimal empiric management for health care-associated (HCA) UTI is unclear, particularly in the critically ill.ObjectiveTo compare clinical failure of broad vs. narrow antibiotic selection in the ED for patients presenting with HCA UTI admitted to the ICU.MethodsObservational cohort of patients started on empiric antibiotic for UTI with at least one HCA risk factor (recurrent UTI, chronic urinary catheter or dialysis, urologic procedures, previous antibiotic exposure, hospitalization, or group facility residence). Broad antibiotics covered Pseudomonas spp. and extended-spectrum beta-lactamase. Clinical failure was a composite of multiorgan dysfunction (MODS) by day 2 and in-hospital mortality. Secondary outcomes were length of stay (LOS), readmission, recurrent infection, development of multidrug-resistant organisms, and Clostridium difficile infection. Associations were reported with odds ratios (OR) and 95% confidence intervals (CI).ResultsThere were 272 patients included; 196 (72.1%) received broad and 76 (27.9%) received narrow therapy. There was no association between antibiotic selection and clinical failure (OR 1.05, 95% CI 0.5–2.25, p = 0.89) or between antibiotic selection and number of HCA risk factors (OR 0.98, 95% CI 0.73–1.31, p = 0.87). There was an association between clinical failure and MODS on ICU admission (OR 9.14, 95% CI 4.70–17.78, p < 0.001). Hospital LOS and readmission did not differ between antibiotic groups.ConclusionInitial empiric broad or narrow antibiotic coverage in HCA UTI patients who presented to the ED and required ICU admission had similar clinical outcomes.     

A novel predictive tool for prognosis in elderly patients with urinary tract infection: Modified PRACTICE

PurposeWe evaluated whether combining the serum albumin level and the Prediction Rule for Admission policy in Complicated urinary Tract InfeCtion LEiden (PRACTICE) class could be a prognostic predictor in elderly patients with urinary tract infection (UTI).MethodsWe retrospectively included adult patients (age ≥ 65 years) with UTI who were hospitalized in the emergency department (ED) between January 1, 2014 and December 31, 2018. We graded the serum albumin level and classified the PRACTICE score; the modified PRACTICE was defined as the sum of the albumin level grade and the PRACTICE class. We comparatively assessed the predictive value for in-hospital mortality and admission to the intensive care unit (ICU) in survivor and non-survivor groups.ResultsIn total, the study analysis included 1159 patients, and in-hospital mortality was 3.4% (n = 39). The modified PRACTICE score (4.0 [1.4] vs 6.1 [1.2], p < 0.001) was significantly increased in the non-survivor group. The area under the curve value of factors associated with in-hospital mortality were the Modified Early Warning Score (MEWS) 0.57 (95% CI 0.54–0.60), albumin 0.83 (95% CI 0.81–0.85), PRACTICE 0.71 (95% CI 0.69–0.74), and the modified PRACTICE 0.86 (95% CI 0.84–0.88). Factors associated with ICU admission were MEWS 0.65 (95% CI 0.62–0.68), albumin 0.66 (95% CI 0.64–0.69), PRACTICE 0.66 (95% CI 0.63–0.68), and the modified PRACTICE 0.72 (95% CI 0.69–0.74).ConclusionThe modified PRACTICE score can be a useful prognostic predictor in elderly patients with UTI.     

Prognostic factors in critically ill cancer patients admitted to the intensive care unit

Objective

The objective of this study is to identify factors predicting intensive care unit (ICU) mortality in cancer patients admitted to a medical ICU.

Patients and methods

We conducted a retrospective study in 162 consecutive cancer patients admitted to the medical ICU of a 1000-bed university hospital between January 2009 and June 2012. Medical history, physical and laboratory findings on admission, and therapeutic interventions during ICU stay were recorded. The study end point was ICU mortality. Logistic regression analysis was performed to identify independent risk factors for ICU mortality.

Results

The study cohort consisted of 104 (64.2%) patients with solid tumors and 58 patients (35.8%) with hematological malignancies. The major causes of ICU admission were sepsis/septic shock (66.7%) and respiratory failure (63.6%), respectively. Overall ICU mortality rate was 55 % (n = 89). The ICU mortality rates were similar in patients with hematological malignancies and solid tumors (57% vs 53.8%; P = .744). Four variables were independent predictors for ICU mortality in cancer patients: the remission status of the underlying cancer on ICU admission (odds ratio [OR], 0.113; 95% confidence interval [CI], 0.027-0.48; P = .003), Acute Physiology and Chronic Health Evaluation II score (OR, 1.12; 95% CI, 1.032-1.215; P = .007), sepsis/septic shock during ICU stay (OR, 8.94; 95% CI, 2.28-35; P = .002), and vasopressor requirement (OR 16.84; 95% CI, 3.98-71.24; P = .0001). Although Acute Physiology and Chronic Health Evaluation II score (OR, 1.30; 95% CI, 1.054-1.61; P = .014), admission through emergency service (OR, 0.005; 95% CI, 0.00-0.69; P = .035), and vasopressor requirement during ICU stay (OR, 140.64; 95% CI, 3.59-5505.5; P = .008) were independent predictors for ICU mortality in patients with hematological malignancies, Sequential Organ Failure Assessment score (OR, 1.83; 95% CI, 1.29-2.6; P = .001), lactate dehydrogenase level on admission (OR, 1.002; 95% CI, 1-1.005; P = .028), sepsis/septic shock during ICU stay (OR, 138.4; 95% CI, 12.54-1528.4; P = .0001), and complete or partial remission of the underlying cancer (OR, 0.026; 95% CI, 0.002-0.3; P = .004) were the independent risk factors in patients with solid tumors.

Conclusion

Intensive care unit mortality rate was 55% in our cancer patients, which suggests that patients with cancer can benefit from ICU admission. We also found that ICU mortality rates of patients with hematological malignancies and solid tumors were similar.