Reply to: "Focus on the decisions to forego life-sustaining therapies during ICU stay of patients with cirrhosis and COVID-19: A case control study from the prospective COVID-ICU database".
Reply to: "Focus on the decisions to forego life-sustaining therapies during ICU stay of patients with cirrhosis and COVID-19: A case control study from the prospective COVID-ICU database".
Project description:BackgroundThe magnitude and implication of variation in end-of-life decision-making among ICUs in the United States is unknown.MethodsWe reviewed data on decisions to forgo life-sustaining therapy (DFLSTs) in 269,002 patients admitted to 153 ICUs in the United States between 2001 and 2009. We used fixed-effects logistic regression to create a multivariable model for DFLST and then calculated adjusted rates of DFLST for each ICU.ResultsPatient factors associated with increased odds of DFLST included advanced age, female sex, white race, and poor baseline functional status (all P < .001). However, associations with several of these factors varied among ICUs (eg, black race had an OR for DFLST from 0.18 to 2.55 across ICUs). The ICU staffing model was also found to be associated with DFLST, with an open ICU staffing model associated with an increased odds of a DFLST (OR = 1.19). The predicted probability of DFLST varied approximately sixfold among ICUs after adjustment for the fixed patient and ICU effects and was directly correlated with the standardized mortality ratios of ICUs (r = 0.53, 0.41-0.68).ConclusionAlthough patient factors explain much of the variability in DFLST practices, significant effects of ICU culture and practice influence end-of-life decision-making. The observation that an ICU's risk-adjusted propensity to withdraw life support is directly associated with its standardized mortality ratio suggests problems with using the latter as a quality measure.
Project description:BackgroundLimitations of life-sustaining therapies (LST) practices are frequent and vary among intensive care units (ICUs). However, scarce data were available during the COVID-19 pandemic when ICUs were under intense pressure. We aimed to investigate the prevalence, cumulative incidence, timing, modalities, and factors associated with LST decisions in critically ill COVID-19 patients.MethodsWe did an ancillary analysis of the European multicentre COVID-ICU study, which collected data from 163 ICUs in France, Belgium and Switzerland. ICU load, a parameter reflecting stress on ICU capacities, was calculated at the patient level using daily ICU bed occupancy data from official country epidemiological reports. Mixed effects logistic regression was used to assess the association of variables with LST limitation decisions.ResultsAmong 4671 severe COVID-19 patients admitted from February 25 to May 4, 2020, the prevalence of in-ICU LST limitations was 14.5%, with a nearly six-fold variability between centres. Overall 28-day cumulative incidence of LST limitations was 12.4%, which occurred at a median of 8 days (3-21). Median ICU load at the patient level was 126%. Age, clinical frailty scale score, and respiratory severity were associated with LST limitations, while ICU load was not. In-ICU death occurred in 74% and 95% of patients, respectively, after LST withholding and withdrawal, while median survival time was 3 days (1-11) after LST limitations.ConclusionsIn this study, LST limitations frequently preceded death, with a major impact on time of death. In contrast to ICU load, older age, frailty, and the severity of respiratory failure during the first 24 h were the main factors associated with decisions of LST limitations.
Project description:ObjectivesTo assess the opinion of intensive care unit (ICU) personnel and the impact of their personality and religious beliefs on decisions to forego life-sustaining treatments (DFLSTs).SettingCross-sectional, observational, national study in 18 multidisciplinary Greek ICUs, with >6 beds, between June and December 2015.Participants149 doctors and 320 nurses who voluntarily and anonymously answered the End-of-Life (EoL) attitudes, Personality (EPQ) and Religion (SpREUK) questionnaires. Multivariate analysis was used to detect the impact of personality and religious beliefs on the DFLSTs.ResultsThe participation rate was 65.7%. Significant differences in DFLSTs between doctors and nurses were identified. 71.4% of doctors and 59.8% of nurses stated that the family was not properly informed about DFLST and the main reason was the family's inability to understand medical details. 51% of doctors expressed fear of litigation and 47% of them declared that this concern influenced the information given to family and nursing staff. 7.5% of the nurses considered DFLSTs dangerous, criminal or illegal. Multivariate logistic regression identified that to be a nurse and to have a high neuroticism score were independent predictors for preferring the term 'passive euthanasia' over 'futile care' (OR 4.41, 95% CI 2.21 to 8.82, p<0.001, and OR 1.59, 95% CI 1.03 to 2.72, p<0.05, respectively). Furthermore, to be a nurse and to have a high-trust religious profile were related to unwillingness to withdraw mechanical ventilation. Fear of litigation and non-disclosure of the information to the family in case of DFLST were associated with a psychoticism personality trait (OR 2.45, 95% CI 1.25 to 4.80, p<0.05).ConclusionWe demonstrate that fear of litigation is a major barrier to properly informing a patient's relatives and nursing staff. Furthermore, aspects of personality and religious beliefs influence the attitudes of ICU personnel when making decisions to forego life-sustaining treatments.
Project description:BackgroundLimiting life-sustaining treatment (LST) in the intensive care unit (ICU) by withholding or withdrawing interventional therapies is considered appropriate if there is no expectation of beneficial outcome. Prognostication for very old patients is challenging due to the substantial biological and functional heterogeneity in that group. We have previously identified seven phenotypes in that cohort with distinct patterns of acute and geriatric characteristics. This study investigates the relationship between these phenotypes and decisions to limit LST in the ICU.MethodsThis study is a post hoc analysis of the prospective observational VIP2 study in patients aged 80 years or older admitted to ICUs in 22 countries. The VIP2 study documented demographic, acute and geriatric characteristics as well as organ support and decisions to limit LST in the ICU. Phenotypes were identified by clustering analysis of admission characteristics. Patients who were assigned to one of seven phenotypes (n = 1268) were analysed with regard to limitations of LST.ResultsThe incidence of decisions to withhold or withdraw LST was 26.5% and 8.1%, respectively. The two phenotypes describing patients with prominent geriatric features and a phenotype representing the oldest old patients with low severity of the critical condition had the largest odds for withholding decisions. The discriminatory performance of logistic regression models in predicting limitations of LST after admission to the ICU was the best after combining phenotype, ventilatory support and country as independent variables.ConclusionsClinical phenotypes on ICU admission predict limitations of LST in the context of cultural norms (country). These findings can guide further research into biases and preferences involved in the decision-making about LST. Trial registration Clinical Trials NCT03370692 registered on 12 December 2017.
Project description:IntroductionLength of Stay (LoS) in Intensive Care Units (ICUs) is an important measure for planning beds capacity during the Covid-19 pandemic. However, as the pandemic progresses and we learn more about the disease, treatment and subsequent LoS in ICU may change.ObjectivesTo investigate the LoS in ICUs in England associated with Covid-19, correcting for censoring, and to evaluate the effect of known predictors of Covid-19 outcomes on ICU LoS.Data sourcesWe used retrospective data on Covid-19 patients, admitted to ICU between 6 March and 24 May, from the "Covid-19 Hospitalisation in England Surveillance System" (CHESS) database, collected daily from England's National Health Service, and collated by Public Health England.MethodsWe used Accelerated Failure Time survival models with Weibull and log-normal distributional assumptions to investigate the effect of predictors, which are known to be associated with poor Covid-19 outcomes, on the LoS in ICU.ResultsPatients admitted before 25 March had significantly longer LoS in ICU (mean = 18.4 days, median = 12), controlling for age, sex, whether the patient received Extracorporeal Membrane Oxygenation, and a co-morbid risk factors score, compared with the period after 7 April (mean = 15.4, median = 10). The periods of admission reflected the changes in the ICU admission policy in England. Patients aged 50-65 had the longest LoS, while higher co-morbid risk factors score led to shorter LoS. Sex and ethnicity were not associated with ICU LoS.ConclusionsThe skew of the predicted LoS suggests that a mean LoS, as compared with median, might be better suited as a measure used to assess and plan ICU beds capacity. This is important for the ongoing second and any future waves of Covid-19 cases and potential pressure on the ICU resources. Also, changes in the ICU admission policy are likely to be confounded with improvements in clinical knowledge of Covid-19.
Project description:BackgroundThe onset and characteristics of chronic pain following an intensive care unit (ICU) stay for COVID-19 have never been thoroughly investigated.Study designA multicenter cohort study was conducted to describe chronic pain, according to ICD-11, among COVID-19 survivors. The chronic pain was assessed during face-to-face consultations with a pain specialist.ResultsAmong 204 COVID-19 ICU survivors, 143 patients with mean age of 60 ± 14 years were included nine months after discharge from the ICU. More than half (54%) of patients experienced new-onset chronic pain. In total, 102 different forms of pain were reported in these patients. Secondary pain was the most frequent type, comprising musculoskeletal (40%), post-traumatic (34%), neuropathic (25%), and visceral (13%). Primary chronic pain was rare (7%). The three most common sites of pain were the shoulders, chest, and head. Pain was moderate to severe in 75% of cases, and higher intensity was associated with a greater impact on daily life. Anxiety, depression, post-traumatic stress, perceived stress, and debilitating pain were frequently associated. Intubation was more frequent in patients with chronic pain. Specialized pain centre follow-up was required for 21% of the survivors, which represented 40% of the patients who developed new-onset chronic pain.ConclusionNew-onset chronic pain is common after an ICU stay for COVID-19 and may manifest in various forms. Secondary pain caused by ICU management is the most frequent. Patients should undergo screening after ICU discharge to facilitate prompt, thorough, and personalized pain management.Clinical trial registrationNCT04940208.
Project description:ObjectiveThe study aimed to compare patients with HELLP syndrome who require intensive care and who do not require intensive care and evaluate the factors affecting the length of stay in the intensive care unit.MethodsPatients were divided into two groups as follows: requiring intensive care (group 1) and not requiring intensive care (group 2). The data of both groups were compared in terms of demographic characteristics, transfusion amounts, length of stay in the intensive care unit, maternal complications, and mortality.Results14032 births in a tertiary center between 2011 and 2018 were evaluated in this study. During the study period, 342 patients were diagnosed with HELLP, and 32 (9.4%) of these were followed up in the intensive care unit. The length of stay in the intensive care unit was determined as 8.1 (7.2) days on average. Fresh frozen plasma, erythrocyte suspension, apheresis, and random thrombocyte transfusion were observed to be significantly more in group 1 patients. In the regression analysis, the most effective factor was found to be erythrocyte suspension and the length of stay in the intensive care unit was significantly longer in patients who had erythrocyte suspension transfusion. The receiver operating characteristic curve showed that the area under the curve value for erythrocyte transfusion was 70.6%. When the cutoff value of erythrocyte suspension was 450 (95% CI: 365-681) ml, the sensitivity was 43.8% and the specificity was 91.6%.ConclusionWe think that physicians should be careful that maternal morbidity and mortality may increase as the need for erythrocyte suspension transfusion increases in patients with HELLP syndrome. Minimum transfusion to hemodynamically stable patients can be more suitable in terms of morbidity and mortality in managing patients with HELLP syndrome requiring erythrocyte suspension transfusion. Precautions and measures should be taken in this regard.
Project description:ObjectivesPatients discharged from the intensive care unit (ICU) often experience physical complaints and poor nutritional intake, which negatively affect their nutritional status (NS). The aim of this study was to describe the NS of patients with COVID-19 1-y post-ICU stay.MethodsThis was an observational study of adult patients with COVID-19 1-y post-ICU stay. NS assessment (nutrient balance, body composition, and physical status) was performed. We examined nutritional intake and nutrition-related complaints. Nutritional requirements were determined with indirect calorimetry and body composition with bioelectrical impedance. Fat-free mass index (FFMI) and fat mass index (FMI) were calculated. Physical status was determined using handgrip strength, the 6-min walk test, and the 1-min sit-to-stand test. Descriptive statistics and paired sample t tests were used for analysis.ResultsWe included 48 patients (73% men; median age 60 y [IQR 52;65]). Median weight loss during the ICU stay was 13%. One-y post-ICU stay, 12% of weight was regained. Median body mass index was 26 kg/m2 and 23% of the patients were obese (body mass index >30 kg/m2 and high FMI). Of the patients, 50% had high FMI and 19% had low FFMI. Median reported nutritional intake was 90% of measured resting energy expenditure. Nutrition-related complaints were seen in 16%. Percentages of normal values reached in physical tests were 92% of handgrip strength, 95% of 6-min walking distance, and 79% of 1-min sit-to-stand test.ConclusionsDespite almost fully regained weight and good physical recovery in adult patients 1-y post-ICU stay, NS remained impaired because of elevated FMI, even though reported nutritional intake was below the estimated requirements.