To compare the prognostic accuracy of Sequential Organ Failure Assessment (SOFA) and quick SOFA (qSOFA) with systemic inflammatory response syndrome (SIRS) criteria in critically ill cancer patients ...with suspected infection.
Data for 450 cancer patients admitted to an intensive care unit (ICU) in 2014 with a suspected infection were retrospectively analyzed. Sensitivity, specificity, and area under the receiver operating curve (AUC) values for SOFA, qSOFA, and SIRS criteria for ICU and hospital mortalities were calculated. Mortalities according to Sepsis-2 stratification (e.g., sepsis, severe sepsis, and septic shock) and Sepsis-3 stratification (e.g., infection, sepsis, and septic shock) were also compared.
SOFA outperformed SIRS in predicting mortalities for ICU (AUC, 0.76; 95% confidence interval (CI) 95%, 0.71–0.81) vs. (AUC, 0.62; 95% CI, 0.56–0.67), p < .01 and hospital (AUC, 0.69; 95% CI, 0.65–0.74) vs. (AUC, 0.58; 95% CI, 0.52–0.63), p < .01) patients. Similarly, qSOFA outperformed SIRS for both settings (AUC, 0.71; 95% CI, 0.65–0.76, p = .02) vs. (AUC, 0.69; 95% CI, 0.64–0.74; p < .01), respectively.
SOFA and qSOFA were more sensitive and accurate than SIRS in predicting ICU and hospital mortality for critically ill cancer patients with suspected infection.
ABSTRACT BACKGROUND: Hematopoietic stem cell transplantation (HSCT) recipients requiring intensive care unit (ICU) admission early after transplantation have a poor prognosis. However, many studies ...have only focused on allogeneic HSCT recipients. OBJECTIVES: To describe the characteristics of HSCT recipients admitted to the ICU shortly after transplantation and assess differences in 1-year mortality between autologous and allogeneic HSCT recipients. DESIGN AND SETTING: A single-center retrospective cohort study in a cancer center in Brazil. METHODS: We included all consecutive patients who underwent HSCT less than a year before ICU admission between 2009 and 2018. We collected clinical and demographic data and assessed the 1-year mortality of all patients. The effect of allogeneic HSCT compared with autologous HSCT on 1-year mortality risk was evaluated in an unadjusted model and an adjusted Cox proportional hazard model for age and Sequential Organ Failure Assessment (SOFA) at admission. RESULTS: Of the 942 patients who underwent HSCT during the study period, 83 (8.8%) were included in the study (autologous HSCT = 57 68.7%, allogeneic HSCT = 26 31.3%). At 1 year after ICU admission, 21 (36.8%) and 18 (69.2%) patients who underwent autologous and allogeneic HSCT, respectively, had died. Allogeneic HSCT was associated with increased 1-year mortality (unadjusted hazard ratio, HR = 2.79 confidence interval, CI, 95%, 1.48–5.26; adjusted HR = 2.62 CI 95%, 1.29–5.31). CONCLUSION: Allogeneic HSCT recipients admitted to the ICU had higher short- and long-term mortality rates than autologous HSCT recipients, even after adjusting for age and severity at ICU admission.
Background: Pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension (PH) are characterized hemodynamically by pre-capillary PH. Acute worsening of systemic congestion and/or ...reduced right ventricular flow output in patients with pre-capillary PH characterizes an episode of acute decompensated PH. Acute kidney injury (AKI) is a common complication in this population and those patients frequently use renal replacement therapy (RRT). Predictors and timing for RRT in acute decompensated PH are unknown and mortality of patients who require this therapy is high. We hypothesize that AKI and hypervolemia are associated with use of RRT during episodes of acute decompensated PH in patients with pre-capillary PH requiring intensive care unit (ICU) admission.Aim: Explore variables associated with RRT use, develop a decision tree model to predict use of RRT in acute decompensated PH and analyze ICU, in-hospital and 90-days mortality in this population.Materials and methods: Multicenter retrospective cohort study including patients with pulmonary arterial hypertension and chronic thromboembolic PH with unplanned admission in the ICU for acute decompensated PH. Acute decompensated PH was defined by acute right ventricular failure leading to low cardiac output and elevated right ventricle filling pressures. We employed two multivariable logistic regression models using directed acyclic graphs to identify confounders. Unadjusted and adjusted odds ratios and 95% confidence intervals were used to measure the association between variables and RRT use.Results: Some 73 patients were included, 16.4% (n=12) of patients required RRT during ICU stay. In the univariate analysis, right atrial pressure (RAP) on last right heart catheterization, and creatinine upon ICU admission were associated with use of RRT and were included in the multivariable model and in the decision tree model. The decision tree model based on RAP and creatinine showed sensitivity of 58.3% and specificity of 100% with area under the receiver operating characteristic curve of 0.81 for predicting RRT use in the ICU. In-hospital mortality and 90-days mortality of patients who used RRT were higher than in patients that did not use RRT (75.0% vs. 34.4%, p < 0.01 and 83.3% vs. 42.6%, p = 0.01, respectively).Conclusion: The decision tree model based on creatinine upon admission and RAP, which is a surrogate of hypervolemia, can identify patients at risk for RRT. Increased ICU, in-hospital, and 90-days mortality were observed in patients with acute decompensated PH who used RRT in the ICU.
To evaluate the accuracy of prediction of intensive care unit length of stay made by physicians at patient admission.
Prospective cohort study.
Three medical-surgical intensive care units in an ...oncology hospital.
All patients admitted between January and December 2014.
None.
Intensive care unit (ICU) length of stay was estimated by the physicians responsible for patient admission and categorized as <48 h, 2-5 days or more than 5 days. Agreement between predicted and actual intensive care unit length of stay was calculated.
A total of 2955 patients were admitted during the study period. Physicians accurately predicted ICU length of stay in 1557 (52.7%) admissions. ICU length of stay was underestimated in 864 (29.2%) and overestimated in 534 (18.1%) cases. Agreement between predicted and actual intensive care unit length of stay was poor (Kappa = 0.22) and not associated with physician characteristics. Predictions of an intensive care unit length of stay of >5 days were significantly less accurate than those of <48 h and of 2-5 days (31.1, 59.8 and 53.1%, respectively, P < 0.001).
The intensive care unit length of stay prediction in these oncological intensive care units is inaccurate and, ideally, should not be made at admission.
To assess whether delirium during ICU stay is associated with subsequent change in treatment of cancer after discharge.
Retrospective cohort study.
A 50-bed ICU in a dedicated cancer center.
Patients ...greater than or equal to 18 years old with a previous proposal of cancer treatment (chemotherapy, target therapy, hormone therapy, immunotherapy, radiotherapy, oncologic surgery, and bone marrow transplantation).
None.
We considered delirium present if Confusion Assessment Method for the ICU was positive. We assessed the association between delirium and modification of the treatment after discharge. We also performed a mediation analysis to assess both the direct and indirect (i.e., mediated by the development of functional dependence after discharge) of delirium on modification of cancer treatment and whether the modification of cancer treatment was associated with mortality at 1 year. We included 1,134 patients, of whom, 189 (16.7%) had delirium. Delirium was associated with the change in cancer treatment (adjusted odds ratio OR, 3.80; 95% CI, 2.72-5.35). The association between delirium in ICU and change of treatment was both direct and mediated by the development of functional dependence after discharge. The proportion of the total effect of delirium on change of treatment mediated by the development of functional dependence after discharge was 33.0% (95% CI, 21.7-46.0%). Change in treatment was associated with increased mortality at 1 year (adjusted OR, 2.68; 95% CI, 2.01-3.60).
Patients who had delirium during ICU stay had a higher rate of modification of cancer treatment after discharge. The effect of delirium on change in cancer treatment was only partially mediated by the development of functional dependence after discharge. Change in cancer treatment was associated with increased 1-year mortality.
IMPORTANCE AND OBJECTIVES: To compare the 18-month survival between patients with newly diagnosed cancer discharged home after early unplanned ICU admission and those without early unplanned ICU ...admission; we also evaluated the frequency and risk factors for early unplanned ICU admission. DESIGN: Observational study with prospectively collected data from September 2019 to June 2021 and 18 months follow-up. SETTING: Single dedicated cancer center in São Paulo, Brazil. PARTICIPANTS: We screened consecutive adults with suspected cancer and included those with histologically proven cancer from among 20 highly prevalent cancers. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The exposure was early unplanned ICU admission, defined as admission for medical reasons or urgent surgery during the first 6 months after cancer diagnosis. The main outcome was 18-month survival after cancer diagnosis, and the main analysis was Cox’s proportional hazards model adjusted for confounders and immortal time bias. Propensity score matching was used in the sensitivity analysis. We screened 4738 consecutive adults with suspected cancer and included 3348 patients. Three hundred twelve (9.3%) had early unplanned ICU admission, which was associated with decreased 18-month survival both in the unadjusted (hazard ratio, 4.03; 95% CI, 2.89–5.62) and adjusted (hazard ratio, 1.84; 95% CI, 1.29–2.64) models. The sensitivity analysis confirmed the results because the groups were balanced after matching, and the 18-month survival of patients with early ICU admission was lower compared with patients without early ICU admission (87.0% vs. 93.9%; p = 0.01 log-rank test). Risk factors for early unplanned ICU admission were advanced age, comorbidities, worse performance status, socioeconomic deprivation, metastatic tumors, and hematologic malignancies. CONCLUSIONS: Patients with newly diagnosed cancer discharged home after early unplanned ICU admission have decreased 18-month survival compared with patients without early unplanned ICU admission.
PDF
