Browsing by Subject "Delirium"
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Item A randomized double-blind placebo-controlled trial of intravenous thiamine for prevention of delirium following allogeneic hematopoietic stem cell transplantation(Elsevier, 2021) Nakamura, Zev M.; Deal, Allison M.; Park, Eliza M.; Quillen, Laura J.; Chien, Stephanie A.; Stanton, Kate E.; McCabe, Sean D.; Heiling, Hillary M.; Wood, William A.; Shea, Thomas C.; Rosenstein, Donald L.; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public HealthObjective: To determine if high dose intravenous (IV) thiamine can prevent delirium during hospitalization following allogeneic HSCT. Secondarily, we evaluated the effects of high dose IV thiamine on thiamine levels and explored risk factors for delirium. Methods: Randomized, double-blind, placebo-controlled trial in patients undergoing allogeneic HSCT at a U.S. academic medical center between October 2017 and March 2020. 64 participants were randomized 1:1 to thiamine 200 mg IV three times daily for 7 days or placebo. We used the Delirium Rating Scale to assess for delirium. Delirium incidence was compared between groups using the chi-square test. Group differences in time to onset and duration of delirium were compared using the Kaplan-Meier method. Fisher's Exact and Wilcoxon Rank Sum tests were used to examine associations between pre-transplantation variables and delirium. Results: 61 participants were analyzed. Delirium incidence (25% vs. 21%, Chi-square (df = 1) = 0.12, p = 0.73), time to onset, duration, and severity were not different between study arms. Immediately following the intervention, thiamine levels were higher in the thiamine arm (275 vs. 73 nmol/L, t-test (df = 57) = 13.63, p < 0.0001), but not predictive of delirium. Variables associated with delirium in our sample included disease severity, corticosteroid exposure, infection, and pre-transplantation markers of nutrition. Conclusion: High dose IV thiamine did not prevent delirium in patients receiving allogeneic HSCT. Given the multiple contributors to delirium in this population, further research regarding the efficacy of multicomponent interventions may be needed.Item Aging and Post-Intensive Care Syndrome–Family (PICS-F): A Critical Need for Geriatric Psychiatry(Elsevier, 2019) Serrano, Patricia; Kheir, You Na P.; Wang, Sophia; Khan, Sikandar; Scheunemann, Leslie; Khan, Babar; Psychiatry, School of MedicinePost-intensive care syndrome–family (PICS-F) describes the psychological symptoms that affect the family members of patients hospitalized in the intensive care unit (ICU) or recently discharged from the ICU. Geriatric psychiatrists should be concerned about PICS-F for several reasons. First, ICU hospitalization in older adults is associated with higher rates of cognitive and physical impairment, compared to older adults hospitalized in non-ICU settings or dwelling in the community. This confers a special burden on the caregivers of these older ICU survivors compared to other geriatric populations. Second, as caregivers themselves age, caring for this unique burden can be more challenging compared to other geriatric populations. Third, evidence for models of care centered on patients with multimorbidity and their caregivers is limited. A deeper understanding of how to care for PICS and PICS-F may inform clinical practice for other geriatric populations with multimorbidity and their caregivers. Geriatric psychiatrists may play a key role in delivering coordinated care for PICS-F by facilitating timely diagnosis and interdisciplinary collaboration, advocating for the healthcare needs of family members suffering from PICS-F, and leading efforts within healthcare systems to increase awareness and treatment of PICS-F. This clinical review will appraise the current literature about the impact of critical illness on the family members of ICU survivors and identify crucial gaps in our knowledge about PICS-F among aging patients and caregivers.Item Association between Change in the peripheral biomarkers of inflammation, astrocyte activation, and neuroprotection at one week of critical illness and hospital mortality in patients with delirium: A prospective cohort study(Public Library of Science, 2023-09-01) Khan, Sikandar H.; Perkins, Anthony J.; Eltarras, Ahmed M.; Chi, Rosalyn; Athar, Ammar A.; Wang, Sophia; Campbell, Noll L.; Gao, Sujuan; Boustani, Malaz A.; Khan, Babar A.; Medicine, School of MedicineObjective: In critically ill adults with delirium, biomarkers of systemic inflammation, astrocyte activation, neuroprotection, and systemic inflammation measured at one week of critical illness may be associated with mortality. Design: Prospective observational study. Setting: Intensive care unit (ICU). Patients: 178 ICU patients with delirium, alive and remaining in ICU at one week. Interventions: None. Measurements and main results: Blood samples collected for a pair of previously published, negative, clinical trials were utilized. Samples were collected at study enrollment/ICU admission (Day 1 sample) and one week later (Day 8 sample), and analyzed for interleukins (IL)-6, 8, 10, Insulin-like Growth Factor (IGF), S100 Binding Protein (S100B), Tumor Necrosis Factor Alpha (TNF-A) and C-Reactive Protein (CRP). Delirium, delirium severity, and coma were assessed twice daily using Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), CAM-ICU-7, and Richmond Agitation-Sedation Scale (RASS), respectively. Mortality was assessed until discharge using the electronic medical record. Logistic regression models adjusting for age, sex, severity of illness, comorbidities, sepsis, and randomization status, were used to assess the relationship among biomarkers and mortality. Higher IL-10 quartiles at day 8 were associated with increased odds of hospital mortality (IL-10: OR 2.00 95%CI: 1.1-3.65, p = 0.023). There was a significant interaction between day 1 and day 8 biomarker quartiles only for IL-6. Patients with IL-6 values in the first three quartiles on admission to the ICU that transitioned to higher IL-6 quartiles at day 8 had increased probability of hospital mortality. Conclusion: In this hypothesis-generating study, higher IL-6 and IL-10 quartiles at one week, and increase in IL-6 from day 1 to day 8 were associated with increased hospital mortality. Studies with larger sample sizes are needed to confirm the mechanisms for these observations.Item Association between plasma tau and postoperative delirium incidence and severity: a prospective observational study(Elsevier, 2021) Ballweg, Tyler; White, Marissa; Parker, Margaret; Casey, Cameron; Bo, Amber; Farahbakhsh, Zahra; Kayser, Austin; Blair, Alexander; Lindroth, Heidi; Pearce, Robert A.; Blennow, Kaj; Zetterberg, Henrik; Lennertz, Richard; Sanders, Robert D.; Medicine, School of MedicineBackground: Postoperative delirium is associated with increases in the neuronal injury biomarker, neurofilament light (NfL). Here we tested whether two other biomarkers, glial fibrillary acidic protein (GFAP) and tau, are associated with postoperative delirium. Methods: A total of 114 surgical patients were recruited into two prospective biomarker cohort studies with assessment of delirium severity and incidence. Plasma samples were sent for biomarker analysis including tau, NfL, and GFAP, and a panel of 10 cytokines. We determined a priori to adjust for interleukin-8 (IL-8), a marker of inflammation, when assessing associations between biomarkers and delirium incidence and severity. Results: GFAP concentrations showed no relationship to delirium. The change in tau from preoperative concentrations to postoperative Day 1 was greater in patients with postoperative delirium (P<0.001) and correlated with delirium severity (ρ=0.39, P<0.001). The change in tau correlated with increases in IL-8 (P<0.001) and IL-10 (P=0.0029). Linear regression showed that the relevant clinical predictors of tau changes were age (P=0.037), prior stroke/transient ischaemic attack (P=0.001), and surgical blood loss (P<0.001). After adjusting for age, sex, preoperative cognition, and change in IL-8, tau remained significantly associated with delirium severity (P=0.026). Using linear mixed effect models, only tau (not NfL or IL-8) predicted recovery from delirium (P<0.001). Conclusions: The change in plasma tau was associated with delirium incidence and severity, and resolved over time in parallel with delirium features. The impact of this putative perioperative neuronal injury biomarker on long-term cognition merits further investigation.Item Biomarkers of Delirium Duration and Delirium Severity in the ICU(Wolters Kluwer, 2020-03) Khan, Babar A.; Perkins, Anthony J.; Prasad, Nagendra K.; Shekhar, Anantha; Campbell, Noll L.; Gao, Sujuan; Wang, Sophia; Khan, Sikandar H.; Marcantonio, Edward R.; Twigg, Homer L., III.; Boustani, Malaz A.; Medicine, School of MedicineObjectives: Both delirium duration and delirium severity are associated with adverse patient outcomes. Serum biomarkers associated with delirium duration and delirium severity in ICU patients have not been reliably identified. We conducted our study to identify peripheral biomarkers representing systemic inflammation, impaired neuroprotection, and astrocyte activation associated with delirium duration, delirium severity, and in-hospital mortality. Design: Observational study. Setting: Three Indianapolis hospitals. Patients: Three-hundred twenty-one critically ill delirious patients. Interventions: None. Measurements and main results: We analyzed the associations between biomarkers collected at delirium onset and delirium-/coma-free days assessed through Richmond Agitation-Sedation Scale/Confusion Assessment Method for the ICU, delirium severity assessed through Confusion Assessment Method for the ICU-7, and in-hospital mortality. After adjusting for age, gender, Acute Physiology and Chronic Health Evaluation II score, Charlson comorbidity score, sepsis diagnosis and study intervention group, interleukin-6, -8, and -10, tumor necrosis factor-α, C-reactive protein, and S-100β levels in quartile 4 were negatively associated with delirium-/coma-free days by 1 week and 30 days post enrollment. Insulin-like growth factor-1 levels in quartile 4 were not associated with delirium-/coma-free days at both time points. Interleukin-6, -8, and -10, tumor necrosis factor-α, C-reactive protein, and S-100β levels in quartile 4 were also associated with delirium severity by 1 week. At hospital discharge, interleukin-6, -8, and -10 retained the association but tumor necrosis factor-α, C-reactive protein, and S-100β lost their associations with delirium severity. Insulin-like growth factor-1 levels in quartile 4 were not associated with delirium severity at both time points. Interleukin-8 and S-100β levels in quartile 4 were also associated with higher in-hospital mortality. Interleukin-6 and -10, tumor necrosis factor-α, and insulin-like growth factor-1 were not found to be associated with in-hospital mortality. Conclusions: Biomarkers of systemic inflammation and those for astrocyte and glial activation were associated with longer delirium duration, higher delirium severity, and in-hospital mortality. Utility of these biomarkers early in delirium onset to identify patients at a higher risk of severe and prolonged delirium, and delirium related complications during hospitalization needs to be explored in future studies.Item Biomarkers of Delirium Duration and Delirium Severity: A Reply(Wolters Kluwer, 2021) Khan, Sikandar H.; Perkins, Anthony J.; Gao, Sujuan; Khan, Babar A.; Medicine, School of MedicineItem The CAM-ICU-7 Delirium Severity Scale: A Novel Delirium Severity Instrument for Use in the Intensive Care Unit(Wolters Kluwer, 2017-05) Khan, Babar A.; Perkins, Anthony J.; Gao, Sujuan; Hui, Siu L.; Campbell, Noll L.; Farber, Mark O.; Chlan, Linda L.; Boustani, Malaz A.; Medicine, School of MedicineOBJECTIVES: Delirium severity is independently associated with longer hospital stays, nursing home placement, and death in patients outside the ICU. Delirium severity in the ICU is not routinely measured because the available instruments are difficult to complete in critically ill patients. We designed our study to assess the reliability and validity of a new ICU delirium severity tool, the Confusion Assessment Method for the ICU-7 delirium severity scale. DESIGN: Observational cohort study. SETTING: Medical, surgical, and progressive ICUs of three academic hospitals. PATIENTS: Five hundred eighteen adult (≥ 18 yr) patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients received the Confusion Assessment Method for the ICU, Richmond Agitation-Sedation Scale, and Delirium Rating Scale-Revised-98 assessments. A 7-point scale (0-7) was derived from responses to the Confusion Assessment Method for the ICU and Richmond Agitation-Sedation Scale items. Confusion Assessment Method for the ICU-7 showed high internal consistency (Cronbach's α = 0.85) and good correlation with Delirium Rating Scale-Revised-98 scores (correlation coefficient = 0.64). Known-groups validity was supported by the separation of mechanically ventilated and nonventilated assessments. Median Confusion Assessment Method for the ICU-7 scores demonstrated good predictive validity with higher odds (odds ratio = 1.47; 95% CI = 1.30-1.66) of in-hospital mortality and lower odds (odds ratio = 0.8; 95% CI = 0.72-0.9) of being discharged home after adjusting for age, race, gender, severity of illness, and chronic comorbidities. Higher Confusion Assessment Method for the ICU-7 scores were also associated with increased length of ICU stay (p = 0.001). CONCLUSIONS: Our results suggest that Confusion Assessment Method for the ICU-7 is a valid and reliable delirium severity measure among ICU patients. Further research comparing it to other delirium severity measures, its use in delirium efficacy trials, and real-life implementation is needed to determine its role in research and clinical practice.Item Clinical Decision Support System and Incidence of Delirium in Cognitively Impaired Older Adults Transferred to Intensive Care(American Association of Critical-Care Nurses, 2013) Khan, Babar A.; Calvo-Ayala, Enrique; Campbell, Noll; Perkins, Anthony; Ionescu, Ruxandra; Tricker, Jason; Campbell, Tiffany; Zawahiri, Mohammed; Buckley, John D.; Farber, Mark O.; Boustani, Malaz A.; Medicine, School of MedicineBackground: Elderly patients with cognitive impairment are at increased risk of developing delirium, especially in the intensive care unit. Objective: To evaluate the efficacy of a computer-based clinical decision support system that recommends consulting a geriatrician and discontinuing use of urinary catheters, physical restraints, and unnecessary anticholinergic drugs in reducing the incidence of delirium. Methods: Data for a subgroup of patients enrolled in a large clinical trial who were transferred to the intensive care units of a tertiary-care, urban public hospital in Indianapolis were analyzed. Data were collected on frequency of orders for consultation with a geriatrician; discontinuation of urinary catheterization, physical restraints, or anticholinergic drugs; and the incidence of delirium. Results: The sample consisted of 60 adults with cognitive impairment. Mean age was 74.6 years; 45% were African American, and 52% were women. No differences were detected between the intervention and the control groups in orders for consultation with a geriatrician (33% vs 40%; P = .79) or for discontinuation of urinary catheters (72% vs 76%; P = .99), physical restraints (12% vs 0%; P=.47), or anticholinergic drugs (67% vs 36%; P=.37). The 2 groups did not differ in the incidence of delirium (27% vs 29%; P = .85). Conclusion: Use of a computer-based clinical decision support system may not be effective in changing prescribing patterns or in decreasing the incidence of delirium.Item Clinician and Visitor Activity Patterns in an Intensive Care Unit Room: A Study to Examine How Ambient Monitoring Can Inform the Measurement of Delirium Severity and Escalation of Care(MDPI, 2024-10-14) Nalaie, Keivan; Herasevich, Vitaly; Heier, Laura M.; Pickering, Brian W.; Diedrich, Daniel; Lindroth, Heidi; School of NursingThe early detection of the acute deterioration of escalating illness severity is crucial for effective patient management and can significantly impact patient outcomes. Ambient sensing technology, such as computer vision, may provide real-time information that could impact early recognition and response. This study aimed to develop a computer vision model to quantify the number and type (clinician vs. visitor) of people in an intensive care unit (ICU) room, study the trajectory of their movement, and preliminarily explore its relationship with delirium as a marker of illness severity. To quantify the number of people present, we implemented a counting-by-detection supervised strategy using images from ICU rooms. This was accomplished through developing three methods: single-frame, multi-frame, and tracking-to-count. We then explored how the type of person and distribution in the room corresponded to the presence of delirium. Our designed pipeline was tested with a different set of detection models. We report model performance statistics and preliminary insights into the relationship between the number and type of persons in the ICU room and delirium. We evaluated our method and compared it with other approaches, including density estimation, counting by detection, regression methods, and their adaptability to ICU environments.Item Cohort study into the neural correlates of postoperative delirium: the role of connectivity and slow-wave activity(Elsevier, 2020-07) Tanabe, Sean; Mohanty, Rosaleena; Lindroth, Heidi; Casey, Cameron; Ballweg, Tyler; Farahbakhsh, Zahra; Krause, Bryan; Prabhakaran, Vivek; Banks, Matthew I.; Sanders, Robert D.; Medicine, School of MedicineBackground: Delirium frequently affects older patients, increasing morbidity and mortality; however, the pathogenesis is poorly understood. Herein, we tested the cognitive disintegration model, which proposes that a breakdown in frontoparietal connectivity, provoked by increased slow-wave activity (SWA), causes delirium. Methods: We recruited 70 surgical patients to have preoperative and postoperative cognitive testing, EEG, blood biomarkers, and preoperative MRI. To provide evidence for causality, any putative mechanism had to differentiate on the diagnosis of delirium; change proportionally to delirium severity; and correlate with a known precipitant for delirium, inflammation. Analyses were adjusted for multiple corrections (MCs) where appropriate. Results: In the preoperative period, subjects who subsequently incurred postoperative delirium had higher alpha power, increased alpha band connectivity (MC P<0.05), but impaired structural connectivity (increased radial diffusivity; MC P<0.05) on diffusion tensor imaging. These connectivity effects were correlated (r2=0.491; P=0.0012). Postoperatively, local SWA over frontal cortex was insufficient to cause delirium. Rather, delirium was associated with increased SWA involving occipitoparietal and frontal cortex, with an accompanying breakdown in functional connectivity. Changes in connectivity correlated with SWA (r2=0.257; P<0.0001), delirium severity rating (r2=0.195; P<0.001), interleukin 10 (r2=0.152; P=0.008), and monocyte chemoattractant protein 1 (r2=0.253; P<0.001). Conclusions: Whilst frontal SWA occurs in all postoperative patients, delirium results when SWA progresses to involve posterior brain regions, with an associated reduction in connectivity in most subjects. Modifying SWA and connectivity may offer a novel therapeutic approach for delirium.