One-year outcomes in COVID-19 and non-COVID-19 intensive care unit survivors.

PURPOSE: To determine differences in one-year multi-domain health outcomes in COVID-19 and non-COVID-19 intensive care unit (ICU) survivors. MATERIALS AND METHODS: Adult ICU survivors treated for COVID-19 were compared to a control group consisting of survivors admitted for respiratory distress due to other causes, i.e. non-COVID-19 ARDS or pneumonia. Occurrence of physical (frailty, fatigue, physical symptoms), mental (anxiety, depression, post-traumatic stress) and cognitive symptoms, and quality of life (QoL) scores were measured, using validated questionnaires, before and one year after ICU treatment. RESULTS: In total, 506 COVID-19 survivors could be compared to 228 non-COVID-19 survivors. At one-year follow-up, COVID-19 ICU survivors had less physical (76.2% vs. 86.9%, p = 0.001) and mental symptoms (32.0% vs. 47.1%, p < 0.001) than the control group. Cognitive symptoms were comparable (22.5% vs. 17.2%, p = 0.12). However, compared to pre-ICU health symptoms and scores, COVID-19 survivors experienced an increase in symptom occurrence rates in all domains and a decrease in QoL, whereas the control group only experienced an increase in mental and cognitive symptoms, with a similar QoL at one-year follow-up. CONCLUSIONS: COVID-19 ICU survivors experience equal or less health problems but a greater decline in QoL one year after ICU admission compared to non-COVID-19 ARDS or pneumonia survivors.

Mental well-being of intensive care unit nurses after the second surge of the COVID-19 pandemic: A cross-sectional and longitudinal study.

OBJECTIVES: To determine the impact of the second surge of the COVID-19 pandemic (October 2020 to June 2021) on mental well-being of intensive care unit nurses and factors associated with mental health outcomes. METHODS: An online survey was available for Dutch intensive care unit nurses in October 2021, measuring mental health symptoms; anxiety, depression (Hospital Anxiety and Depression Scale), and post-traumatic stress disorder (Impact of Event Scale-6). Additionally, work-related fatigue was measured using the Need For Recovery-11 questionnaire. Previous data from the first surge (March until June 2020) were used to study mental well-being longitudinally in a subgroup of intensive care unit nurses. Logistic regression analyses were performed to determine factors associated with mental health symptoms. RESULTS: In total, 589 nurses (mean age 44.8 [SD, 11.9], 430 [73.8 %] females) participated, of whom 164 also completed the questionnaire in 2020. After the second surge, 225/589 (38.2 %) nurses experienced one or more mental health symptoms and 294/589 (49.9 %) experienced work-related fatigue. Compared to the first measurement, the occurrence of mental health symptoms remained high (55/164 [33.5 %] vs 63/164 [38.4 %], p = 0.36) and work-related fatigue was significantly higher (66/164 [40.2 %] vs 83/164 [50.6 %], p = 0.02). Granted holidays as requested (aOR, 0.54; 95 % CI, 0.37-0.79), being more confident about the future (aOR, 0.59; 95 % CI, 0.37-0.93) and a better perceived work-life balance (aOR, 0.42; 95 % CI, 0.27-0.65) were significantly associated with less symptoms. CONCLUSION: The second surge of the COVID-19 pandemic further drained the mental reserves of intensive care unit nurses, resulting in more work-related fatigue.

Mature neutrophils and a NF-κB-to-IFN transition determine the unifying disease recovery dynamics in COVID-19.

Disease recovery dynamics are often difficult to assess, as patients display heterogeneous recovery courses. To model recovery dynamics, exemplified by severe COVID-19, we apply a computational scheme on longitudinally sampled blood transcriptomes, generating recovery states, which we then link to cellular and molecular mechanisms, presenting a framework for studying the kinetics of recovery compared with non-recovery over time and long-term effects of the disease. Specifically, a decrease in mature neutrophils is the strongest cellular effect during recovery, with direct implications on disease outcome. Furthermore, we present strong indications for global regulatory changes in gene programs, decoupled from cell compositional changes, including an early rise in T cell activation and differentiation, resulting in immune rebalancing between interferon and NF-κB activity and restoration of cell homeostasis. Overall, we present a clinically relevant computational framework for modeling disease recovery, paving the way for future studies of the recovery dynamics in other diseases and tissues.

Mental health symptoms in family members of COVID-19 ICU survivors 3 and 12 months after ICU admission: a multicentre prospective cohort study.

PURPOSE: Long-term mental outcomes in family members of coronavirus disease 2019 (COVID-19) intensive care unit (ICU) survivors are unknown. Therefore, we assessed the prevalence of mental health symptoms, including associated risk factors, and quality of life (QoL) in family members of COVID-19 ICU survivors 3 and 12 months post-ICU. METHODS: A prospective multicentre cohort study in ICUs of ten Dutch hospitals, including adult family members of COVID-19 ICU survivors admitted between March 1, and July 1, 2020. Symptom prevalence rates of anxiety, depression (Hospital Anxiety and Depression Scale) and Post-Traumatic Stress Disorder (Impact of Event Scale-6), and QoL (Short Form-12) before ICU admission (baseline), and after 3 and 12 months were measured. Additionally, associations between family and patient characteristics and mental health symptoms were calculated. RESULTS: A total of 166 out of 197 (84.3%) included family members completed the 12-month follow-up of whom 46.1% and 38.3% had mental health symptoms 3 and 12 months post-ICU, respectively; both higher compared to baseline (22.4%) (p < 0.001). The mental component summary score of the SF-12 was lower at 12-month follow-up compared with baseline [mean difference mental component score: - 5.5 (95% confidence interval (CI) - 7.4 to - 3.6)]. Furthermore, 27.9% experienced work-related problems. Symptoms of anxiety (odds ratio (OR) 9.23; 95% CI 2.296-37.24; p = 0.002) and depression (OR 5.96; 95% CI 1.29-27.42; p = 0.02) prior to ICU admission were identified as risk factors for mental health symptoms after 12 months. CONCLUSION: A considerable proportion of family members of COVID-19 survivors reported mental health symptoms 3 and 12 months after ICU admission, disrupting QoL and creating work-related problems.

Clinical Outcomes Among Patients With 1-Year Survival Following Intensive Care Unit Treatment for COVID-19.

IMPORTANCE: One-year outcomes in patients who have had COVID-19 and who received treatment in the intensive care unit (ICU) are unknown. OBJECTIVE: To assess the occurrence of physical, mental, and cognitive symptoms among patients with COVID-19 at 1 year after ICU treatment. DESIGN, SETTING, AND PARTICIPANTS: An exploratory prospective multicenter cohort study conducted in ICUs of 11 Dutch hospitals. Patients (N = 452) with COVID-19, aged 16 years and older, and alive after hospital discharge following admission to 1 of the 11 ICUs during the first COVID-19 surge (March 1, 2020, until July 1, 2020) were eligible for inclusion. Patients were followed up for 1 year, and the date of final follow-up was June 16, 2021. EXPOSURES: Patients with COVID-19 who received ICU treatment and survived 1 year after ICU admission. MAIN OUTCOMES AND MEASURES: The main outcomes were self-reported occurrence of physical symptoms (frailty [Clinical Frailty Scale score ≥5], fatigue [Checklist Individual Strength-fatigue subscale score ≥27], physical problems), mental symptoms (anxiety [Hospital Anxiety and Depression {HADS} subscale score ≥8], depression [HADS subscale score ≥8], posttraumatic stress disorder [mean Impact of Event Scale score ≥1.75]), and cognitive symptoms (Cognitive Failure Questionnaire-14 score ≥43) 1 year after ICU treatment and measured with validated questionnaires. RESULTS: Of the 452 eligible patients, 301 (66.8%) patients could be included, and 246 (81.5%) patients (mean [SD] age, 61.2 [9.3] years; 176 men [71.5%]; median ICU stay, 18 days [IQR, 11 to 32]) completed the 1-year follow-up questionnaires. At 1 year after ICU treatment for COVID-19, physical symptoms were reported by 182 of 245 patients (74.3% [95% CI, 68.3% to 79.6%]), mental symptoms were reported by 64 of 244 patients (26.2% [95% CI, 20.8% to 32.2%]), and cognitive symptoms were reported by 39 of 241 patients (16.2% [95% CI, 11.8% to 21.5%]). The most frequently reported new physical problems were weakened condition (95/244 patients [38.9%]), joint stiffness (64/243 patients [26.3%]) joint pain (62/243 patients [25.5%]), muscle weakness (60/242 patients [24.8%]) and myalgia (52/244 patients [21.3%]). CONCLUSIONS AND RELEVANCE: In this exploratory study of patients in 11 Dutch hospitals who survived 1 year following ICU treatment for COVID-19, physical, mental, or cognitive symptoms were frequently reported.

The impact of the first COVID-19 surge on the mental well-being of ICU nurses: A nationwide survey study.

OBJECTIVES: To determine the impact of the first COVID-19 surge (March through June 2020) on mental well-being and associated risk factors among intensive care unit nurses. RESEARCH METHODOLOGY: In September 2020, a nationwide cross-sectional survey study among Dutch intensive care nurses was carried out to measure prevalence rates of symptoms of anxiety, depression, posttraumatic stress disorder, and need for recovery (NFR), objectified by the HADS-A, HADS-D, IES-6 and NFR questionnaires, respectively. Associated risk factors were determined using multivariate logistic regression analyses. RESULTS: Symptoms of anxiety, depression, and post traumatic stress disorder were reported by 27.0%, 18.6% and 22.2% of the 726 respondents, respectively. The NFR was positive, meaning not being recovered from work, in 41.7%. Working in an academic hospital, being afraid of infecting relatives and experiencing insufficient numbers of colleagues were associated with more mental symptoms, while having been on holiday was associated with reduced depression symptoms and need for recovery. CONCLUSION: The first COVID-19 surge had a high impact on the mental well-being of intensive care nurses, increasing the risk for drop out and jeopardising the continuity of care. Effort should be made to optimize working conditions and decrease workload to guarantee care in the next months of the COVID-19 pandemic.

5-Year prognostic value of the right ventricular strain-area loop in patients with pulmonary hypertension.

AIMS: Patients with pre-capillary pulmonary hypertension (PH) show poor survival, often related to right ventricular (RV) dysfunction. In this study, we assessed the 5-year prognostic value of a novel echocardiographic measure that examines RV function through the temporal relation between RV strain (ϵ) and area (i.e. RV ϵ-area loop) for all-cause mortality in PH patients. METHODS AND RESULTS: Echocardiographic assessments were performed in 143 PH patients (confirmed by right heart catheterization). Transthoracic echocardiography was utilized to assess RV ϵ-area loop. Using receiver operating characteristic curve-derived cut-off values, we stratified patients in low- vs. high-risk groups for all-cause mortality. Kaplan-Meier survival curves and uni-/multivariable cox-regression models were used to assess RV ϵ-area loop's prognostic value (independent of established predictors: age, sex, N-terminal pro B-type natriuretic peptide, 6-min walking distance). During follow-up 45 (31%) patients died, who demonstrated lower systolic slope, peak ϵ, and late diastolic slope (all P < 0.05) at baseline. Univariate cox-regression analyses identified early systolic slope, systolic slope, peak ϵ, early diastolic uncoupling, and early/late diastolic slope to predict all-cause mortality (all P < 0.05), whilst peak ϵ possessed independent prognostic value (P < 0.05). High RV loop-score (i.e. based on number of abnormal characteristics) showed poorer survival compared to low RV loop-score (Kaplan-Meier: P < 0.01). RV loop-score improved risk stratification in high-risk patients when added to established predictors. CONCLUSION: Our data demonstrate the potential for RV ϵ-area loops to independently predict all-cause mortality in patients with pre-capillary PH. The non-invasive nature and simplicity of measuring the RV ϵ-area loop, support the potential clinical relevance of (repeated) echocardiography assessment of PH patients.

Association between delirium prediction scores and days spent with delirium.

PURPOSE: To determine the correlation and discriminative value of the E-PRE-DELIRIC and PRE-DELIRIC scores with delirium exposure to evaluate the prognostic value of both models. METHODS: A secondary analysis of a randomized clinical trial enrolling 1506 delirium-free, critically ill adults with an anticipated ICU stay of ≥2 days. Days spent with delirium (≥1 positive CAM-ICU) or coma (≥1 RASS ≤-4) in the 28-days after ICU admission were calculated. Patients were categorized into four groups: no delirium, short-exposure (1 delirium day), moderate-exposure (2-5 delirium days), and long- exposure (≥6 delirium days) to determine the correlation and discriminative value of the E-PRE-DELIRIC and the PRE-DELIRIC with days spent with delirium. RESULTS: The correlation between the overall E-PRE-DELIRIC and PRE-DELIRIC scores and days spent with delirium were: R = 0.08 (P = .005) and R = 0.26 (P < .001), respectively. The correlation between both prediction scores and days spent with coma or delirium were R = 0.21 (P < .0001) and R = 0.46 (P < .0001), respectively. The highest Area Under the Receiver Operating Characteristic for both E-PRE-DELIRIC [0.57 (95% CI:0.51-0.62)] and PRE-DELIRIC [0.58 (95% CI:0.53-0.62)] was found in the long delirium exposure group. CONCLUSION: The E-PRE-DELIRIC and PRE-DELIRIC model each poorly correlate and discriminate with days spent with delirium in the 28 days after ICU admission.