Utility of Plasma Myostatin as a Predictive Biomarker for Post Intensive Care Syndrome in Patients With Sepsis

Impact of COVID-19: urging a need for multi-domain assessment of COVID-19 inpatients

Psychosocial working conditions and cognitive and physical impairment in older age

Cognitive impairment is a common sequela following traumatic brain injury (TBI). This study aimed to identify risk factors for cognitive impairment after 3 and 12 months of TBI and to create nomograms to predict them. A total of 305 mild-to-moderate TBI patients admitted to the First Affiliated Hospital with Nanjing Medical University from January 2018 to January 2022 were retrospectively recruited. Risk factors for cognitive impairment after 3 and 12 months of TBI were identified by univariable and multivariable logistic regression analyses. Based on these factors, we created two nomograms to predict cognitive impairment after 3 and 12 months of TBI, the discrimination and calibration of which were validated by plotting the receiver operating characteristic (ROC) curve and calibration curve, respectively. Cognitive impairment was detected in 125/305 and 52/305 mild-to-moderate TBI patients after 3 and 12 months of injury, respectively. Age, the Glasgow Coma Scale (GCS) score, >12 years of education, hyperlipidemia, temporal lobe contusion, traumatic subarachnoid hemorrhage (tSAH), very early rehabilitation (VER), and intensive care unit (ICU) admission were independent risk factors for cognitive impairment after 3 months of mild-to-moderate TBI. Meanwhile, age, GCS score, diabetes mellitus, tSAH, and surgical treatment were independent risk factors for cognitive impairment after 12 months of mild-to-moderate TBI. Two nomograms were created based on the risk factors identified using logistic regression analyses. The areas under the curve (AUCs) of the two nomograms to predict cognitive impairment after 3 and 12 months of mild-to-moderate TBI were 0.852 (95% CI [0.810, 0.895]) and 0.817 (95% CI [0.762, 0.873]), respectively. Two nomograms are created to predict cognitive impairment after 3 and 12 months of TBI. Age, GCS score, >12 years of education, hyperlipidemia, temporal lobe contusion, tSAH, VER, and ICU admission are independent risk factors for cognitive impairment after 3 months of TBI; meanwhile, age, the GCS scores, diabetes mellitus, tSAH, and surgical treatment are independent risk factors of cognitive impairment after 12 months of TBI. Two nomograms, based on both groups of factors, respectively, show strong discriminative abilities.

Introduction: Advancements in critical care medicine have led to increase in Intensive Care Unit (ICU) survival. ICU survivors often experience cognitive, mental and physical impairments as part of a condition called Post- Intensive Care Syndrome (PICS). While there are several ICU follow-up programs, there is variability in their structure and approach. We describe the creation and implementation of a Post-ICU Recovery Clinic (PIRC). Methods: A retrospective observational study was conducted and included all patients seen in a PIRC of a quaternary health system from December 2019 to September 2020. PIRC visit variables included scores on several validated questionnaires screening for mental health and cognitive disorders, 6-minute walk test, pulmonary function test, change in occupational and driving status, and referrals made during PIRC visit. Statistics reported reflect exclusion of the missing data points. Results: The criteria utilized for patient selection was circulatory shock, acute respiratory distress syndrome (ARDS), mechanical ventilation >7 days, ICU admission >7 days, delirium, cardiac arrest and COVID-19 with ICU stay >2 days. A total of 63 patients were seen in PIRC, 41% of those were ARDS survivors. Given the COVID-19 pandemic, telemedicine was shortly implemented and 62% of the visits were virtual. Median age (IQR) was 59.1 (49.2-71.6), 59% were male, with near equal Caucasian and African American distribution. All patients who had an in-person visit were seen by a critical care physician and advance practice provider, pharmacist, psychiatrist and physical therapist during the visit. 36% screened positive for anxiety or depression as identified by the Patient Health Questionnaire-4 (PHQ- 4), and 11% screened positive for post-traumatic stress disorder (PTSD) identified by the Primary Care PTSD Screen for DSM-5 (PC-PTSD-5). Of the patients seen with in-person visit, 45% had either mild or moderate cognitive impairment identified by the Montreal Cognitive Assessment (MOCA). Median 6-minute walk distance was 66% predicted. Median FEV1, FVC, and DLCO was 86, 80, and 60% predicted respectively. From the 61% of patients who were working and 91% who were driving prior to hospitalization, only 22% and 65% had returned to those activities respectively. Thirty four (56%) patients had at least one referral made, with some patients receiving up to 6 referrals. Conclusion: A high prevalence of PICS and social impairments were identified in ICU survivors at a PIRC. Incorporating an inter-disciplinary team approach and standardized surveys were imperative to recognize these impairments in order to support return to the best state of recovery possible.

Many older adults become physically and cognitively impaired. However, it is unclear whether unimpaired older adults are more likely to become physically or cognitively impaired first and if this sequence impacts mortality risk. Data came from the Mexican Health and Aging Study. The sample included 1,283 participants aged ≥60 years who were physically and cognitively unimpaired in 2001. Multinomial logistic regression was used to estimate probabilities of being unimpaired, cognitively impaired only, physically impaired only, or cognitively-physically impaired in 2003. Proportional hazard models were used to estimate mortality risk through 2015 according to physical and cognitive status in 2003. The probabilities for being unimpaired, physically impaired only, cognitively impaired only, and cognitively-physically impaired in 2003 were 0.45, 0.22, 0.19, and 0.13, respectively. Older age, female sex, and arthritis were associated with significantly greater probability of becoming physically impaired only than cognitively impaired only in 2003. Cognitive impairment only (hazard ratio [HR] = 1.42, 95% confidence interval [CI] = 1.09-1.85) in 2003 but not physical impairment only (HR = 1.22, 95% CI = 0.94-1.58) was associated with greater mortality than being unimpaired in 2003. Cognitively-physically impaired participants had higher mortality risk than participants who were physically (HR = 1.58, 95% CI = 1.18-2.12) or cognitively (HR = 1.36, 95% CI = 1.01-1.84) impaired only. The likelihood of becoming only physically or cognitively impaired over 2 years varies by demographic and health characteristics. The mortality risk for unimpaired older adults who become cognitively impaired only is similar to those who become physically impaired only. Research should determine if the sequence of cognitive and physical impairments is associated with other outcomes.

BackgroundPsychosocial working conditions have been associated with cognitive and physical impairment among older adults. However, less is known on whether psychosocial working conditions are associated with a combination of cognitive and physical impairments. The aim of this study was to investigate the associations between midlife psychosocial working conditions and physical and cognitive impairment among older adults, and to assess whether there are sex differences in these associations.MethodsThe data were derived from two Swedish nationally representative surveys (n=839) with a follow-up time of 20-24 years. Multinomial and binary logistic regressions were used to assess the associations between work stressors according to the job demand-control model, and a combination of cognitive and physical impairment.ResultsLow control jobs were significantly associated with higher odds of both cognitive and physical impairment as well as a combination of cognitive and physical impairment. Passive jobs (low control, low demand) were associated with higher odds of cognitive impairment, and cognitive and physical impairment in combination. Active jobs (high control, high demand) were associated with lower odds of cognitive impairment. Sex-stratified analyses showed stronger associations among men than among women. Among men passive jobs were significantly associated with both cognitive and physical impairment. Low strain jobs were significantly associated with less physical impairment.ConclusionsThese results highlight the importance of midlife psychosocial working conditions for late-life physical and cognitive impairment, and especially among men. Jobs characterised by higher control, lower strain and active jobs may promote resilience and cognitive reserve among older populations.

Community-Based Rehabilitation and Patient-Centered Outcomes in Survivors of Critical COVID-19 Attending an Intensive Care Recovery Clinic

Long-term recovery of survivors of coronavirus disease (COVID-19) treated with extracorporeal membrane oxygenation: The next imperative

This study examined records of 2566 consecutive COVID-19 patients at five Massachusetts hospitals and sought to predict level-of-care requirements based on clinical and laboratory data. Several classification methods were applied and compared against standard pneumonia severity scores. The need for hospitalization, ICU care, and mechanical ventilation were predicted with a validation accuracy of 88%, 87%, and 86%, respectively. Pneumonia severity scores achieve respective accuracies of 73% and 74% for ICU care and ventilation. When predictions are limited to patients with more complex disease, the accuracy of the ICU and ventilation prediction models achieved accuracy of 83% and 82%, respectively. Vital signs, age, BMI, dyspnea, and comorbidities were the most important predictors of hospitalization. Opacities on chest imaging, age, admission vital signs and symptoms, male gender, admission laboratory results, and diabetes were the most important risk factors for ICU admission and mechanical ventilation. The factors identified collectively form a signature of the novel COVID-19 disease.

Decision letter: Early prediction of level-of-care requirements in patients with COVID-19

Although studies to date have broadly shown that cardiovascular disease (CVD) increases cognitive and physical impairment risk, there is still limited understanding of the magnitude of this risk among relevant CVD subtypes or age cohorts. We analyzed longitudinal data from 16 679 U.S. Health and Retirement Study participants who were aged ≥65 years at study entry. Primary endpoints were physical impairment (activities of daily living impairment) or cognitive impairment (Langa-Weir Classification of dementia). We compared these endpoints among participants who developed incident CVD versus those who were CVD free, both in the short term (<2-year postdiagnosis) and long term (>5 years), controlling for sociodemographic and health characteristics. We then analyzed the effects by CVD subtype (atrial fibrillation, congestive heart failure, ischemic heart disease, and stroke) and age-at-diagnosis (65-74, 75-84, and ≥85). Over a median follow-up of 10 years, 8 750 participants (52%) developed incident CVD. Incident CVD was associated with significantly higher adjusted odds (aOR) of short-term and long-term physical and cognitive impairment. The oldest (≥85) age-at-diagnosis subgroup had the highest risk of short-term physical (aOR 3.01, 95% confidence interval [CI]: 2.40-3.77) and cognitive impairment (aOR 1.96, 95% CI: 1.55-2.48), as well as long-term impairment. All CVD subtypes were associated with higher odds of physical and cognitive impairment, with the highest risk for patients with incident stroke. Incident CVD was associated with an increased risk of physical and cognitive impairment across CVD subtypes. Impairment risk after CVD was highest among the oldest patients (≥85 years) who should therefore remain a target for prevention efforts.

Background: Post-intensive care syndrome (PICS) refers to physical, cognitive and psychological symptoms that occur after a patient is discharged from the intensive care unit (ICU). Aims: The present study aimed to explore the prevalence of PICS among ICU survivors of a tertiary care setup in Eastern India. Methods: A single-centre prospective cohort study was conducted amongst patients admitted to the ICU. A predefined, structured interview in 1st month, 3rd month, 6th month after ICU admission was done. Baseline characteristics were noted. Physical and cognitive impairment, psychological distress and general health were assessed using the Barthel Index (BI), mini-mental state examination (MMSE) tool, Hospital Anxiety and Depression Scale (HADS) and EuroQoL Visual Analogue Scale. Results: Of the 150 patients included in the study, the mean Acute Physiology and Chronic Health Evaluation II score was 20.87. The leading cause of ICU admission was sepsis (40.7%), followed by acute exacerbation of chronic obstructive pulmonary disease and pneumonia (14%). The median stay in the ICU was 8 days. Mean BI significantly decreased from 79.20 at baseline to 60.17 and 64.33 in the 3rd and 6th months, respectively. The mean HADS-Depression score increased from 3.79 at baseline to 7.08 at 3rd and 5.92 at 6th month. Similarly, the mean HADS-Anxiety score increased from 4.37 at baseline to 7.44 at 3rd and 6.31 at 6th month. The mean MMSE score decreased from 24.61 at baseline to 22.26 at the 3rd and 6th months, respectively. Thus, PICS was recorded in 90% of cases in the 3rd month and 89.3% in the 6th month. Conclusion: The management of PICS involves a multidisciplinary approach, including physical rehabilitation, cognitive rehabilitation and psychological support.

Financial stress is an important source of chronic stress and has been associated with cognitive and physical impairments. This study investigates whether midlife financial stress is associated with the combination of cognitive and physical impairment, the role of potentially modifiable factors, and sex differences. Methods: The Cardiovascular Risk Factors, Aging, and Dementia population-based cohort study from Finland was used (n=1497) (baseline collected 1972-1987, mean age 50 years). There were two late-life re-examinations (mean total follow-up 25 years). Midlife financial stress was measured using two questions on financial situation. Cognitive impairment was based on six cognitive domains. Physical impairment was self-reported. Potential modifying factors investigated were smoking, alcohol, physical activity, cohabiting/not, non-manual work, and sleep disturbances. Sex differences were investigated. We used path analyses with full information maximum likelihood estimation. Results: Among women and men, midlife financial stress associated with cognitive impairment, physical impairment and their combination. Smoking and sleep disturbances mediated associations between financial stress, physical impairment, and combined impairments. Among men: manual/non-manual work mediated the association to cognitive impairments; cohabitation mediated to cognitive impairment; financial stress was associated with cognitive impairment only among smokers and stress had a stronger association to physical and combined impairments among non-drinkers. Among women, sleep seems to have role in the association between financial stress and cognitive impairment. Conclusions: Midlife financial stress associates with late-life impairments, and lifestyle/sociodemographic factors may modify these associations. Sex differences were observed. Interventions promoting healthier lifestyle and psychosocial factors may buffer against the deleterious role of financial stress.

The study aims to assess and compare the predicting ability of some scores and biomarkers in acute pancreatitis. We prospectively collected data from 269 patients diagnosed of acute pancreatitis, admitted to Virgen de las Nieves University Hospital between June 2010 and June 2012. Blood urea nitrogen (BUN), C-reactive protein, and creatinine were measured on admission and after 48h, lactate and bedside index for severity acute pancreatitis (BISAP) only on admission and RANSON within the first 48h. Definitions from 2012 Atlanta Classification were used. Area under the curve (AUC) was calculated for each scoring system for predicting severe acute pancreatitis (SAP), mortality, and intensive care unit (ICU) admission, obtaining optimal cut-off values from the receiver operating characteristic curves. Eight (3%) patients died, 17 (6.3%) were classified as SAP, and 10 (3.7%) were admitted in ICU. BISAP was the best predictor on admission for SAP, mortality, and ICU admission with an AUC of 0.9 (95% CI 0.83-0.97); 0.97 (95% CI 0.95-0.99); and 0.89 (95% CI 0.79-0.99), respectively. After 48h, BUN 48h was the best predictor of SAP (AUC=0.96 CI: 0.92-0.99); BUN 48h and BISAP were the best predictors for mortality (AUC=0.97 CI: 0.95-0.99) and creatinine 48h for ICU admission (AUC=0.96 CI: 0.92-0.99). Lactate showed an AUC of 0.79 (CI: 0.71-0.88), 0.87 (CI: 0.78-0.96), and 0.77 (CI: 0.67-0.87) for SAP, mortality, and ICU admission, respectively. All parameters were predictors for SAP, mortality, and ICU admission, but C-reactive protein on admission was only a significant predictor of SAP. Bedside index for severity acute pancreatitis is a good predictive system for SAP, mortality, and ICU admission, being useful for triaging patients for ICU management. Lactate could be useful for developing new scores.

IntroductionNovel biomarkers of acute kidney injury (AKI) are being developed and commercialized. However, none are universally available. The aim of this preliminary prospective observational study was to explore the effectiveness of intermittent urine oxygen tension (PuO2) monitoring without special equipment (using a blood gas analyzer) for predicting AKI after elective cardiovascular surgery requiring cardiopulmonary bypass (CPB).MethodsFifty patients who underwent elective cardiovascular surgery requiring CPB were enrolled in the study with written informed consent. Urine samples were intermittently collected from a urethral catheter at four points: T1, immediately after induction of general anesthesia in the operating room; T2, immediately after intensive care unit (ICU) admission; T3, six hours after ICU admission; and T4, 12 hours after ICU admission. PuO2 was measured with a blood gas analyzer. The Kidney Disease Improving Global Outcomes classification was used for the diagnosis of AKI, then patients were followed up until postoperative day 7. By generating the receiver operating characteristic curves, the cut-off value of PuO2 and area under the curve (AUC) for predicting the onset of AKI was calculated. The odds ratio (OR) and 95% confidence interval (CI) of each time point were calculated using logistic regression analysis or exact logistic regression method. P < 0.05 was considered significant.ResultsTwelve patients were diagnosed with AKI (24% morbidity). The cut-off values of PuO2 for predicting onset of AKI at the four time points were T1, PuO2 ≥ 132.4 mmHg (OR 3.1, 95% CI 0.78-12.0, p = 0.11, AUC 0.57); T2, PuO2 ≥ 153.3 mmHg (OR 5.8, 95% CI 1.08-31.4, p = 0.04, AUC 0.51); T3, PuO2 ≥ 130.1 mmHg (OR 0.19, 95% CI 0.05-0.75, p = 0.018, AUC 0.68); T4, PuO2 ≥ 88.6 mmHg (OR 0.07, 95% CI 0-0.486, p = 0.011, AUC 0.64).ConclusionIntermittent PuO2 values at six and 12 hours after ICU admission may be predictors of AKI, although the AUCs to predict AKI were low (0.68 and 0.64). AKI prediction by PuO2 was not possible immediately after induction of general anesthesia (not statistically significant) and immediately after ICU admission (AUC was very low). Further studies are required to confirm the validity of intermittent PuO2 monitoring.