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- Time of Day and its Association with Risk of Death and Chance of Discharge in Critically Ill Patients: a Retrospective StudyPublication . Zajic, P; Bauer, P; Rhodes, A; Moreno, R; Fellinger, T; Metnitz, B; Posch, M; Metnitz, POutcomes following admission to intensive care units (ICU) may vary with time and day. This study investigated associations between time of day and risk of ICU mortality and chance of ICU discharge in acute ICU admissions. Adult patients (age ≥ 18 years) who were admitted to ICUs participating in the Austrian intensive care database due to medical or surgical urgencies and emergencies between January 2012 and December 2016 were included in this retrospective study. Readmissions were excluded. Statistical analysis was conducted using the Fine-and-Gray proportional subdistribution hazards model concerning ICU mortality and ICU discharge within 30 days adjusted for SAPS 3 score. 110,628 admissions were analysed. ICU admission during late night and early morning was associated with increased hazards for ICU mortality; HR: 1.17; 95% CI: 1.08-1.28 for 00:00-03:59, HR: 1.16; 95% CI: 1.05-1.29 for 04:00-07:59. Risk of death in the ICU decreased over the day; lowest HR: 0.475, 95% CI: 0.432-0.522 for 00:00-03:59. Hazards for discharge from the ICU dropped sharply after 16:00; lowest HR: 0.024; 95% CI: 0.019-0.029 for 00:00-03:59. We conclude that there are "time effects" in ICUs. These findings may spark further quality improvement efforts.
- Why the Sequential Organ Failure Assessment Score Needs Updating?Publication . Moreno, R; Singer, M; Rhodes, A
- Pancreatic Stone Protein As a Biomarker of SepsisPublication . Lopes, D; Chumbinho, B; Bandovas, JP; Faria, P; Espírito Santo, C; Ferreira, B; Val-Flores, L; Pereira, R; Germano, N; Bento, L
- Abdominal Perfusion Pressure in Critically Ill Cirrhotic Patients: a Prospective Observational StudyPublication . Antunes Pereira, R; Esteves, A; Sousa Cardoso, F; Perdigoto, R; Marcelino, P; Saliba, FIn critical patients, abdominal perfusion pressure (APP) has been shown to correlate with outcome. However, data from cirrhotic patients is scarce. We aimed to characterize APP in critically ill cirrhotic patients, analyze the prevalence and risk factors of abdominal hypoperfusion (AhP) and outcomes. A prospective cohort study in a general ICU specialized in liver disease at a tertiary hospital center recruited consecutive cirrhotic patients between October 2016 and December 2021. The study included 101 patients, with a mean age of 57.2 (± 10.4) years and a female gender proportion of 23.5%. The most frequent etiology of cirrhosis was alcohol (51.0%), and the precipitant event was infection (37.3%). ACLF grade (1-3) distribution was 8.9%, 26.7% and 52.5%, respectively. A total of 1274 measurements presented a mean APP of 63 (± 15) mmHg. Baseline AhP prevalence was 47%, independently associated with paracentesis (aOR 4.81, CI 95% 1.46-15.8, p = 0.01) and ACLF grade (aOR 2.41, CI 95% 1.20-4.85, p = 0.01). Similarly, AhP during the first week (64%) had baseline ACLF grade (aOR 2.09, CI 95% 1.29-3.39, p = 0.003) as a risk factor. Independent risk factors for 28-day mortality were bilirubin (aOR 1.10, CI 95% 1.04-1.16, p < 0.001) and SAPS II score (aOR 1.07, CI 95% 1.03-1.11, p = 0.001). There was a high prevalence of AhP in critical cirrhotic patients. Abdominal hypoperfusion was independently associated with higher ACLF grade and baseline paracentesis. Risk factors for 28-day mortality included clinical severity and total bilirubin. The prevention and treatment of AhP in the high-risk cirrhotic patient is prudential.
- Prognosticating the Outcome of Intensive Care in Older Patients - a Narrative ReviewPublication . Beil, M; Moreno, R; Fronczek, J; Kogan, Y; Moreno, R; Flaatten, H; Guidet, B; de Lange, D; Leaver, S; Nachshon, A; van Heerden, P; Joskowicz, L; Sviri, S; Jung, C; Szczeklik, WPrognosis determines major decisions regarding treatment for critically ill patients. Statistical models have been developed to predict the probability of survival and other outcomes of intensive care. Although they were trained on the characteristics of large patient cohorts, they often do not represent very old patients (age ≥ 80 years) appropriately. Moreover, the heterogeneity within this particular group impairs the utility of statistical predictions for informing decision-making in very old individuals. In addition to these methodological problems, the diversity of cultural attitudes, available resources as well as variations of legal and professional norms limit the generalisability of prediction models, especially in patients with complex multi-morbidity and pre-existing functional impairments. Thus, current approaches to prognosticating outcomes in very old patients are imperfect and can generate substantial uncertainty about optimal trajectories of critical care in the individual. This article presents the state of the art and new approaches to predicting outcomes of intensive care for these patients. Special emphasis has been given to the integration of predictions into the decision-making for individual patients. This requires quantification of prognostic uncertainty and a careful alignment of decisions with the preferences of patients, who might prioritise functional outcomes over survival. Since the performance of outcome predictions for the individual patient may improve over time, time-limited trials in intensive care may be an appropriate way to increase the confidence in decisions about life-sustaining treatment.
- The Contribution of Frailty, Cognition, Activity of Daily Life and Comorbidities on Outcome in Acutely Admitted Patients Over 80 Years in European ICUs: the VIP2 StudyPublication . Guidet, B; de Lange, D; Boumendil, A; Leaver, S; Watson, X; Boulanger, C; Szczeklik, W; Artigas, A; Morandi, A; Andersen, F; Zafeiridis, T; Jung, C; Moreno, R; Walther, S; Oeyen, S; Schefold, J; Cecconi, M; Marsh, B; Joannidis, M; Nalapko, Y; Elhadi, M; Fjølner, J; Flaatten, HPurpose: Premorbid conditions affect prognosis of acutely-ill aged patients. Several lines of evidence suggest geriatric syndromes need to be assessed but little is known on their relative effect on the 30-day survival after ICU admission. The primary aim of this study was to describe the prevalence of frailty, cognition decline and activity of daily life in addition to the presence of comorbidity and polypharmacy and to assess their influence on 30-day survival. Methods: Prospective cohort study with 242 ICUs from 22 countries. Patients 80 years or above acutely admitted over a six months period to an ICU between May 2018 and May 2019 were included. In addition to common patients' characteristics and disease severity, we collected information on specific geriatric syndromes as potential predictive factors for 30-day survival, frailty (Clinical Frailty scale) with a CFS > 4 defining frail patients, cognitive impairment (informant questionnaire on cognitive decline in the elderly (IQCODE) with IQCODE ≥ 3.5 defining cognitive decline, and disability (measured the activity of daily life with the Katz index) with ADL ≤ 4 defining disability. A Principal Component Analysis to identify co-linearity between geriatric syndromes was performed and from this a multivariable model was built with all geriatric information or only one: CFS, IQCODE or ADL. Akaike's information criterion across imputations was used to evaluate the goodness of fit of our models. Results: We included 3920 patients with a median age of 84 years (IQR: 81-87), 53.3% males). 80% received at least one organ support. The median ICU length of stay was 3.88 days (IQR: 1.83-8). The ICU and 30-day survival were 72.5% and 61.2% respectively. The geriatric conditions were median (IQR): CFS: 4 (3-6); IQCODE: 3.19 (3-3.69); ADL: 6 (4-6); Comorbidity and Polypharmacy score (CPS): 10 (7-14). CFS, ADL and IQCODE were closely correlated. The multivariable analysis identified predictors of 1-month mortality (HR; 95% CI): Age (per 1 year increase): 1.02 (1.-1.03, p = 0.01), ICU admission diagnosis, sequential organ failure assessment score (SOFA) (per point): 1.15 (1.14-1.17, p < 0.0001) and CFS (per point): 1.1 (1.05-1.15, p < 0.001). CFS remained an independent factor after inclusion of life-sustaining treatment limitation in the model. Conclusion: We confirm that frailty assessment using the CFS is able to predict short-term mortality in elderly patients admitted to ICU. Other geriatric syndromes do not add improvement to the prediction model. Since CFS is easy to measure, it should be routinely collected for all elderly ICU patients in particular in connection to advance care plans, and should be used in decision making.
- Transcutaneous Electrical Diaphragmatic Stimulation Reduces the Duration of Invasive Mechanical Ventilation in Patients with Cervical Spinal Cord Injury: Retrospective Case SeriesPublication . Duarte, G; Bethiol, A; Ratti, L; Franco, G; Moreno, R; Tonella, R; Falcão, ALStudy design: Retrospective case series. Objectives: To compare individuals with cervical spinal cord injury (SCI) submitted to transcutaneous electrical diaphragmatic stimulation (TEDS) or a standard weaning protocol (SWP) according to the following variables: invasive mechanical ventilation (IMV) time, ventilator weaning time, intensive care unit (ICU) length of stay, and overall hospital length of stay. Settings: Tertiary university hospital. Clinical Hospital of Campinas State University-UNICAMP-Campinas (SP), Brazil. Methods: Retrospective case study investigating ICU patients submitted to tracheostomy due to cervical SCI at a tertiary university hospital (Clinical Hospital of Campinas State University, Brazil). Data were extracted from medical records of patients seen between January 2007 and December 2016. According to medical records, four patients were submitted to TEDS and six to a SWP. Provision of training to patients in the TEDS group was based on consensus medical decision, preference of the physical therapy team and availability of electrostimulation equipment in the ICU. Results: Total IMV time in the TEDS and the SWP group was 33 ± 15 and 60 ± 22 days, respectively. Length of stay in ICU in the TEDS and the SWP group was 31 ± 18 and 63 ± 45 days, respectively. Conclusion: TEDS appears to influence the duration of IMV as well as the length of stay in ICU. This physiotherapeutic intervention may be a potentially promising tool for treatment of patients with SCI. However, randomized clinical trials are warranted to support this assumption.
- Kawasaki-Like Syndrome as an Emerging Complication of SARS-CoV-2 Infection in Young AdultsPublication . Germano, N; Pelicano Paulos, J; Botelho Cardoso, F; Ferreira, AT; Burgi Vieira, CBackground: Kawasaki-like syndrome occurring in children during the COVID-19 pandemic has been labelled multisystem inflammatory syndrome in children (MIS-C) by the CDC and paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 infection (PIMS-TS) by the ECDC. Case report: We report the case of an 18-year-old male patient presenting with a 72-hour history of abdominal pain, fever, erythematous skin rash, vomiting and diarrhoea. Examination showed he also had shock and he was first thought to have oedematous cholecystitis. SARS-CoV-2 infection was also diagnosed. He was admitted to the ICU, and echocardiography showed cardiac dysfunction, with a low ejection fraction and low cardiac index. High-sensitivity troponin serum levels were elevated. The patient received inotropic and vasopressor support. As he fulfilled several criteria for MIS-C/PIMS-TS, he was administered acetylsalicylic acid, corticosteroids and immunoglobulin, with a good clinical response. Conclusion: This case emphasizes how this severe presentation of COVID-19 can easily be misdiagnosed if the clinician is less aware of this syndrome in younger patients. Learning points: SARS-CoV-2 infection is a diagnostic challenge in some patients with atypical clinical presentations, who may have MIS-C/PIMS-TS.Physicians should be aware of this condition when evaluating teenagers and young adults with COVID-19.
- Sex-Specific Outcome Disparities in Very Old Patients Admitted to Intensive Care Medicine: a Propensity Matched AnalysisPublication . Wernly, B; Romano Bruno, R; Kelm, M; Boumendil, A; Morandi, A; Andersen, F; Artigas, A; Finazzi, S; Cecconi, M; Christensen, S; Faraldi, L; Lichtenauer, M; Muessig, J; Marsh, B; Moreno, R; Oeyen, S; Öhman, C; Bollen Pinto, B; Soliman, I; Szczeklik, W; Niederseer, D; Valentin, A; Watson, X; Leaver, S; Boulanger, C; Walther, S; Schefold, J; Joannidis, M; Nalapko, Y; Elhadi, M; Fjølner, J; Zafeiridis, T; De Lange, D; Guidet, B; Flaatten, H; Jung, CFemale and male very elderly intensive patients (VIPs) might differ in characteristics and outcomes. We aimed to compare female versus male VIPs in a large, multinational collective of VIPs with regards to outcome and predictors of mortality. In total, 7555 patients were included in this analysis, 3973 (53%) male and 3582 (47%) female patients. The primary endpoint was 30-day-mortality. Baseline characteristics, data on management and geriatric scores including frailty assessed by Clinical Frailty Scale (CFS) were documented. Two propensity scores (for being male) were obtained for consecutive matching, score 1 for baseline characteristics and score 2 for baseline characteristics and ICU management. Male VIPs were younger (83 ± 5 vs. 84 ± 5; p < 0.001), less often frail (CFS > 4; 38% versus 49%; p < 0.001) but evidenced higher SOFA (7 ± 6 versus 6 ± 6 points; p < 0.001) scores. After propensity score matching, no differences in baseline characteristics could be observed. In the paired analysis, the mortality in male VIPs was higher (mean difference 3.34% 95%CI 0.92-5.76%; p = 0.007) compared to females. In both multivariable logistic regression models correcting for propensity score 1 (aOR 1.15 95%CI 1.03-1.27; p = 0.007) and propensity score 2 (aOR 1.15 95%CI 1.04-1.27; p = 0.007) male sex was independently associated with higher odds for 30-day-mortality. Of note, male gender was not associated with ICU mortality (OR 1.08 95%CI 0.98-1.19; p = 0.14). Outcomes of elderly intensive care patients evidenced independent sex differences. Male sex was associated with adverse 30-day-mortality but not ICU-mortality. Further research to identify potential sex-specific risk factors after ICU discharge is warranted.Trial registration: NCT03134807 and NCT03370692; Registered on May 1, 2017 https://clinicaltrials.gov/ct2/show/NCT03370692 .
- Time of Admission to Intensive Care Unit, Strained Capacity, and Mortality: a Retrospective Cohort StudyPublication . Sousa Cardoso, F; Germano, N; Bento, L; Fortuna, PPurpose: We sought to study the association between afterhours ICU admission and ICU mortality considering measures of strained ICU capacity. Materials and methods: Retrospective analysis of 4141 admissions to 2 ICUs in Lisbon, Portugal (06/2016-06/2018). Primary exposure was ICU admission on 20:00 h-07:59 h. Primary outcome was ICU mortality. Measures of strained ICU capacity were: bed occupancy rate ≥ 90% and cluster of ICU admissions 2 h before or following index admission. Results: There were 1581 (38.2%) afterhours ICU admissions. Median APACHE II score (19 vs. 20) was similar between patients admitted afterhours and others (P = .27). Patients admitted afterhours had higher crude ICU mortality (15.4% vs. 21.9%; P < .001), but similar adjusted ICU mortality (aOR [95%CI] = 1.15 [0.97-1.38]; P = .12). While bed occupancy rate ≥ 90% was more frequent in patients admitted afterhours (23.1% vs. 29.1%) or deceased in ICU (23.6% vs. 33.7%), cluster of ICU admissions was more frequent in patients admitted during daytime hours (75.2% vs. 58.9%) or that survived the ICU stay (70.1% vs. 63.9%; P ≤ .001 for all). These measures of strained ICU capacity were not associated with adjusted ICU mortality (P ≥ .10 for both). Conclusions: Afterhours ICU admission and measures of strained ICU capacity were associated with crude but not adjusted ICU mortality.