Project description:Background/objectivesDepression screening and treatment for older adults are recommended in Age-Friendly Health Systems. Few studies have evaluated the association between depressive symptoms and postoperative functioning. We aimed to determine the association between varying levels of depressive symptoms in the preoperative setting with postoperative functional recovery.DesignProspective cohort study.SettingTwo academic hospitals in Boston, Massachusetts.ParticipantsSurgical patients aged 70 and older (N = 560).MeasurementsParticipants were assessed preoperatively and 1 year postoperatively. Preoperative evaluation included the 15-item short-form Geriatric Depression Scale (GDS). Results were categorized as low (GDS = 0-1), moderate (2-5), or high (6-15) symptom burden. Primary outcome was 1-year instrumental activities of daily living functional decline. Secondary outcomes included hospital stay longer than 5 days, discharge to post-acute care (PAC) facility, and readmission within 30 days.ResultsMean participant age was 76.6 ± 5 years, 58% were women, 81% underwent an orthopedic operation, 13% gastrointestinal, 6% vascular; 13% had functional decline at 1 year after their operation (by symptom burden: low = 5.5%; moderate = 14.8%, and high = 38.6%). After adjusting for age, sex, and comorbidity, those with moderate or high depressive symptoms demonstrated greater odds of functional decline at 1 year compared with those with a low symptom burden (moderate: adjusted odds ratio [AOR] = 2.7; 95% confidence interval [CI] = 1.3-5.3; high: AOR = 9.3; 95% CI = 4.2-20.6), discharge to PAC facility (moderate: AOR = 1.7; 95%CI = 1.2-2.6; high: AOR = 2.7; 95% CI = 1.4-5.1) but demonstrated no significant association with 30-day readmission or hospital length of stay longer than 5 days.ConclusionGreater burden of preoperative depressive symptoms is associated with increased likelihood of functional decline at 1 year after surgery and of discharge to PAC facility. Preoperative assessment of the burden of depressive symptoms in older adults undergoing elective surgery may be helpful in identifying patients at high risk of poor outcomes.
Project description:ObjectiveTo determine which findings on routine clinical EEGs correlate with delirium severity across various presentations and to determine whether EEG findings independently predict important clinical outcomes.MethodsWe prospectively studied a cohort of nonintubated inpatients undergoing EEG for evaluation of altered mental status. Patients were assessed for delirium within 1 hour of EEG with the 3-Minute Diagnostic Interview for Confusion Assessment Method (3D-CAM) and 3D-CAM severity score. EEGs were interpreted clinically by neurophysiologists, and reports were reviewed to identify features such as theta or delta slowing and triphasic waves. Generalized linear models were used to quantify associations among EEG findings, delirium, and clinical outcomes, including length of stay, Glasgow Outcome Scale scores, and mortality.ResultsWe evaluated 200 patients (median age 60 years, IQR 48.5-72 years); 121 (60.5%) met delirium criteria. The EEG finding most strongly associated with delirium presence was a composite of generalized theta or delta slowing (odds ratio 10.3, 95% confidence interval 5.3-20.1). The prevalence of slowing correlated not only with overall delirium severity (R 2 = 0.907) but also with the severity of each feature assessed by CAM-based delirium algorithms. Slowing was common in delirium even with normal arousal. EEG slowing was associated with longer hospitalizations, worse functional outcomes, and increased mortality, even after adjustment for delirium presence or severity.ConclusionsGeneralized slowing on routine clinical EEG strongly correlates with delirium and may be a valuable biomarker for delirium severity. In addition, generalized EEG slowing should trigger elevated concern for the prognosis of patients with altered mental status.
Project description:Understanding the plasma proteome dynamics in sepsis patients is crucial for improving prognostic and therapeutic strategies, as sepsis remains a leading cause of mortality in intensive care units. In this study, 363 patients with newly diagnosed sepsis were enrolled and plasma was collected on the first and fourth day after diagnosis. Proteome analysis was performed using liquid chromatography–tandem mass spectrometry. The plasma proteome was analyzed via classical statistical analysis and machine learning to identify associations with 30-day survival. Out of 363 sepsis patients, 224 survived and 139 did not survive the 30-day period. Significant differences in the abundance of 87 proteins on day 1 and 95 proteins on day 4 were found between survivors and non-survivors. Additionally, between days 1 and 4, 63 proteins were differentially regulated between both groups. We found that protein regulations within the first days of sepsis were generally associated with a worse outcome. Statistical analysis revealed the underlying proteins to be foremost related to blood coagulation, immune response and complement activation. Complementarily, the machine learning classifier achieved an area under the receiver operating characteristic curve of 0.75 for predicting 30-day survival. The feature importance analysis highlighted additional proteins and substantiated the findings of univariate statistics. This study describes the temporal alterations of the plasma proteome and the underlying protein networks that are associated with survival. These findings enhance the understanding of sepsis pathophysiology and the identified proteins might serve as starting points for further investigations and guide the development of targeted therapeutic strategies.
Project description:ObjectiveTo assess if ongoing delirium research activity within an acute admissions unit impacts on prevalent delirium recognition.DesignProspective cohort study.SettingSingle-site tertiary university teaching hospital.Participants125 patients with delirium, as diagnosed by an expert using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition reference criteria, were recruited to a prospective cohort study investigating use of informant tools to detect unrecognised dementia. This study evaluated recognition of delirium and documentation of delirium by medical staff.InterventionsThe main study followed an observational design; the intervention discussed was the implementation of this study itself.Primary and secondary outcome measuresThe primary outcome was recognition of delirium by the admitting medical team prior to study diagnosis. Secondary outcomes included recording of or description of delirium in discharge summaries, and factors which may be associated with unrecognised delirium.ResultsDelirium recognition improved between the first half (48%) and second half (71%) of recruitment (p=0.01). There was no difference in recording of delirium or description of delirium in the text of discharge summaries.ConclusionDelirium research activity can improve recognition of delirium. This has the potential to improve patient outcomes.
Project description:To describe functional recovery after elective surgery and to determine whether improvements differ among individuals who develop delirium.No large studies of older adults have investigated whether delirium influences the trajectory of functional recovery after elective surgery. The prospective observational study assessed this association among 566 individuals aged 70 years and older.Patients undergoing major elective surgery were assessed daily while in hospital for presence and severity of delirium using the Confusion Assessment Method, and their functional recovery was followed for 18 months thereafter. The Activities of Daily Living and Instrumental Activities of Daily Living Scales and the Physical Component Summary of the Short Form-12 were obtained before surgery and at 1, 2, 6, 12, and 18 months. A composite index (standard deviation 10, minimally clinically significant difference 2) derived from these scales was then analyzed using mixed-effects regression.Mean age was 77 years; 58% of participants were women and 24% developed postoperative delirium. Participants with delirium demonstrated lesser functional recovery than their counterparts without delirium; at 1 month, the covariate-adjusted mean difference on the physical function composite was -1.5 (95% confidence interval -3.3, -0.2). From 2 to 18 months, the corresponding difference was -1.8 (95% confidence interval -3.2, -0.3), an effect comparable with the minimally clinically significant difference.Delirium was associated with persistent and clinically meaningful impairment of functional recovery, to 18 months. Use of multifactorial preventive interventions for patients at high risk for delirium and tailored transitional care planning may help to maximize the functional benefits of elective surgery.
Project description:OBJECTIVES:Catatonia, a condition characterized by motor, behavioral, and emotional changes, can occur during critical illness and appear as clinically similar to delirium, yet its management differs from delirium. Traditional criteria for medical catatonia preclude its diagnosis in delirium. Our objective in this investigation was to understand the overlap and relationship between delirium and catatonia in ICU patients and determine diagnostic thresholds for catatonia. DESIGN:Convenience cohort, nested within two ongoing randomized trials. SETTING:Single academic medical center in Nashville, TN. PATIENTS:We enrolled 136 critically ill patients on mechanical ventilation and/or vasopressors, randomized to two usual care sedation regimens. MEASUREMENTS AND MAIN RESULTS:Patients were assessed for delirium and catatonia by independent and masked personnel using Confusion Assessment Method for the ICU and the Bush Francis Catatonia Rating Scale mapped to Diagnostic Statistical Manual 5 criterion A for catatonia. Of 136 patients, 58 patients (43%) had only delirium, four (3%) had only catatonia, 42 (31%) had both, and 32 (24%) had neither. In a logistic regression model, more catatonia signs were associated with greater odds of having delirium. For example, patient assessments with greater than or equal to three Diagnostic Statistical Manual 5 symptoms (75th percentile) had, on average, 27.8 times the odds (interquartile range, 12.7-60.6) of having delirium compared with patient assessments with zero Diagnostic Statistical Manual 5 criteria (25th percentile) present (p < 0.001). A cut-off of greater than or equal to 4 Bush Francis Catatonia Screening Instrument items was both sensitive (91%; 95% CI, 82.9-95.3) and specific (91%; 95% CI, 87.6-92.9) for Diagnostic Statistical Manual 5 catatonia. CONCLUSIONS:Given that about one in three patients had both catatonia and delirium, these data prompt reconsideration of Diagnostic Statistical Manual 5 criteria for "Catatonic Disorder Due to Another Medical Condition" that preclude diagnosing catatonia in the presence of delirium.
Project description:AimTo describe the incidence, time in days and risk factors for postoperative delirium in elderly patients.DesignProspective cohort study.MethodsPatients over 65 years were daily screened with the 4A's Test and the Delirium Observation Screening Scale for postoperative delirium. A psychiatrist assessed according to the DSM-V. We performed descriptive and logistic regression analyses.ResultsFrom 202 patients, 7.5% (N = 15) had a diagnosed postoperative delirium, whereby 73.3% (N = 11) developed the delirium during the first 48 hr after surgery. The median duration was 1 day. Patients over 80 years suffering from heart failure with surgical drains, bladder catheter, central venous catheter had higher odds for developing a postoperative delirium. The incidence of postoperative delirium in our sample was lower compared with other surgical and ortho-geriatric populations. Despite age, several modifiable postoperative factors were associated with the occurrence of postoperative delirium.
Project description:BackgroundRecent trials are conflicting as to whether titration of anaesthetic dose using electroencephalography monitoring reduces postoperative delirium. Titration to anaesthetic dose itself might yield clearer conclusions. We analysed our observational cohort to clarify both dose ranges for trials of anaesthetic dose and biological plausibility of anaesthetic dose influencing delirium.MethodsWe analysed the use of sevoflurane in an ongoing prospective cohort of non-intracranial surgery. Of 167 participants, 118 received sevoflurane and were aged >65 yr. We tested associations between age-adjusted median sevoflurane (AMS) minimum alveolar concentration fraction or area under the sevoflurane time×dose curve (AUC-S) and delirium severity (Delirium Rating Scale-98). Delirium incidence was measured with 3-minute Diagnostic Confusion Assessment Method (3D-CAM) or CAM-ICU. Associations with previously identified delirium biomarkers (interleukin-8, neurofilament light, total tau, or S100B) were tested.ResultsDelirium severity did not correlate with AMS (Spearman's ρ=-0.014, P=0.89) or AUC-S (ρ=0.093, P=0.35), nor did delirium incidence (AMS Wilcoxon P=0.86, AUC-S P=0.78). Further sensitivity analyses including propofol dose also demonstrated no relationship. Linear regression confirmed no association for AMS in unadjusted (log (IRR)=-0.06 P=0.645) or adjusted models (log (IRR)=-0.0454, P=0.735). No association was observed for AUC-S in unadjusted (log (IRR)=0.00, P=0.054) or adjusted models (log (IRR)=0.00, P=0.832). No association of anaesthetic dose with delirium biomarkers was identified (P>0.05).ConclusionSevoflurane dose was not associated with delirium severity or incidence. Other biological mechanisms of delirium, such as inflammation and neuronal injury, appear more plausible than dose of sevoflurane.Clinical trial registrationNCT03124303, NCT01980511.
Project description:Background and Purpose: Carotid plaque hemorrhage (IPH) is a critical plaque vulnerable feature. We aim to elucidate the association between symptomatic extracranial carotid atherosclerotic IPH and poor 3-month functional outcome after acute ischemic stroke by high-resolution vessel wall MRI (HRVMRI). Methods: We prospectively studied consecutive patients with a recent stroke or transient ischemic attack (TIA) of carotid atherosclerotic origin. All patients underwent a High-Resolution (HR) VWMRI scan of ipsilateral extracranial carotid within 1 week after admission. The patients recruited were interviewed by telephone after 3 months after stroke onset. The primary outcome was a 3-month functional prognosis of stroke, expressed as a modified Rankin Scale (mRS) score. A poor prognosis was defined as a 3-month modified Rankin Scale (mRS) score ≥ of 3. Univariate analysis was used to analyze the correlation between risk factors and IPH. The relation between IPH and 3-month functional outcome was analyzed by Logistic regression analysis. Results: A total of 156 patients (mean age, 61.18 ± 10.12 years; 108 males) were included in the final analysis. There were significant differences in the age, gender, smoking history, national institutes of health stroke scale (NIHSS) on admission, and diastolic blood pressure (DBP) on admission between the IPH group and the non-IPH group (all p < 0.05). During the follow-up, 32 patients (20.5%) had a poor functional outcome. According to the prognosis analysis of poor functional recovery, there was a significant difference between the two groups [36.7 vs. 16.7%; unadjusted odds ratio (OR), 2.32, 95% confidence interval (CI), 1.12-4.81, p = 0.024). Even after adjusting for confounding factors [such as age, gender, smoking history, National Institutes of Health Stroke Scale (NIHSS) on admission, DBP on admission, stenosis rate of carotid artery (CA), calcification, loose matrix, lipo-rich necrotic core (LRNC), and statins accepted at 3 months], IPH was still a strong predictor of poor 3-month outcome, and the adjusted OR was 3.66 (95% CI 1.68-7.94, p = 0.001). Conclusions: Extracranial carotid IPH is significantly associated with poor 3-month outcome after acute ischemic stroke and can predict the poor 3-month functional prognosis.
Project description:BackgroundDelirium is a neurocognitive disorder characterized by an abrupt decline in attention, awareness, and cognition after surgical/illness-induced stressors on the brain. There is now an increasing focus on how cardiovascular health interacts with neurocognitive disorders given their overlapping risk factors and links to subsequent dementia and mortality. One common indicator for cardiovascular health is the heart rate response/recovery (HRR) to exercise, but how this relates to future delirium is unknown.MethodsElectrocardiogram data were examined in 38,740 middle- to older-aged UK Biobank participants (mean age = 58.1 years, range: 40-72 years; 47.3% males) who completed a standardized submaximal exercise stress test (15-s baseline, 6-min exercise, and 1-min recovery) and required hospitalization during follow-up. An HRR index was derived as the product of the heart rate (HR) responses during exercise (peak/resting HRs) and recovery (peak/recovery HRs) and categorized into low/average/high groups as the bottom quartile/middle 2 quartiles/top quartile, respectively. Associations between 3 HRR groups and new-onset delirium were investigated using Cox proportional hazards models and a 2-year landmark analysis to minimize reverse causation. Sociodemographic factors, lifestyle factors/physical activity, cardiovascular risk, comorbidities, cognition, and maximal workload achieved were included as covariates.ResultsDuring a median follow-up period of 11 years, 348 participants (9/1000) newly developed delirium. Compared with the high HRR group (16/1000), the risk for delirium was almost doubled in those with low HRR (hazard ratio = 1.90, 95% confidence interval (95%CI): 1.30-2.79, p = 0.001) and average HRR (hazard ratio = 1.54, 95%CI: 1.07-2.22, p = 0.020)). Low HRR was equivalent to being 6 years older, a current smoker, or ≥3 additional cardiovascular disease risks. Results were robust in sensitivity analysis, but the risk appeared larger in those with better cognition and when only postoperative delirium was considered (n = 147; hazard ratio = 2.66, 95%CI: 1.46-4.85, p = 0.001).ConclusionHRR during submaximal exercise is associated with future risk for delirium. Given that HRR is potentially modifiable, it may prove useful for neurological risk stratification alongside traditional cardiovascular risk factors.