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Park DY, Jamil Y, Hu JR, Lowenstern A, Frampton J, Abdullah A, Damluji AA, Ahmad Y, Soufer R, Nanna MG. Delirium in older adults after percutaneous coronary intervention: Prevalence, risks, and clinical phenotypes. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2023; 57:60-67. [PMID: 37414611 PMCID: PMC10730763 DOI: 10.1016/j.carrev.2023.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/02/2023] [Accepted: 06/13/2023] [Indexed: 07/08/2023]
Abstract
INTRODUCTION In-hospital delirium is more common among older adults and is associated with increased mortality and adverse health-related outcomes. We aim to establish the contemporary prevalence of delirium among older adults undergoing percutaneous coronary intervention (PCI) and the impact of delirium on in-hospital complications. METHODS We identified older adults aged ≥75 years in the National Inpatient Sample who underwent inpatient PCI for any reason from 2016 to 2020 and stratified them into those with and without delirium. The primary outcome was in-hospital mortality, and secondary outcomes encompassed post-procedural complications. RESULTS Delirium occurred in 14,130 (2.6 %) hospitalizations in which PCI was performed. Patients who developed delirium were older and had more comorbidities. Patients with in-hospital delirium had higher odds of in-hospital mortality (adjusted odds ratio [aOR] 1.27, p = 0.002) and non-home discharge (aOR 3.17, p < 0.001). Delirium was also associated with higher odds of intracranial hemorrhage (aOR 2.49, p < 0.001), gastrointestinal hemorrhage (aOR 1.25, p = 0.030), need for blood transfusion (aOR 1.52, p < 0.001), acute kidney injury (aOR 1.62, p < 0.001), and fall in hospital (aOR 1.97, p < 0.001). CONCLUSION Delirium among older adults undergoing PCI is relatively common and associated with higher odds of in-hospital mortality and adverse events. This highlights the importance of vigilant delirium prevention and early recognition in the peri-procedural setting, especially for older adults.
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Affiliation(s)
- Dae Yong Park
- Department of Medicine, Cook County Health, Chicago, IL, USA
| | - Yasser Jamil
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Jiun-Ruey Hu
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Angela Lowenstern
- Section of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer Frampton
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Ahmed Abdullah
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Abdulla A Damluji
- Johns Hopkins University School of Medicine, Baltimore, MD, USA; Inova Center of Outcomes Research, Falls Church, VA, USA
| | - Yousif Ahmad
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Robert Soufer
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Michael G Nanna
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA.
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Mulkey M, Albanese T, Kim S, Huang H, Yang B. Delirium detection using GAMMA wave and machine learning: A pilot study. Res Nurs Health 2022; 45:652-663. [PMID: 36321335 PMCID: PMC9649882 DOI: 10.1002/nur.22268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 09/13/2022] [Accepted: 09/22/2022] [Indexed: 11/11/2022]
Abstract
Delirium occurs in as many as 80% of critically ill older adults and is associated with increased long-term cognitive impairment, institutionalization, and mortality. Less than half of delirium cases are identified using currently available subjective assessment tools. Electroencephalogram (EEG) has been identified as a reliable objective measure but has not been feasible. This study was a prospective pilot proof-of-concept study, to examine the use of machine learning methods evaluating the use of gamma band to predict delirium from EEG data derived from a limited lead rapid response handheld device. Data from 13 critically ill participants aged 50 or older requiring mechanical ventilation for more than 12 h were enrolled. Across the three models, accuracy of predicting delirium was 70 or greater. Stepwise discriminant analysis provided the best overall method. While additional research is needed to determine the best cut points and efficacy, use of a handheld limited lead rapid response EEG device capable of monitoring all five cerebral lobes of the brain for predicting delirium hold promise.
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Affiliation(s)
- Malissa Mulkey
- College of Nursing, University of South Carolina, Columbia, South Carolina, USA
| | - Thomas Albanese
- College of Engineering and Technology, East Carolina University, Greenville, North Carolina, USA
| | - Sunghan Kim
- College of Engineering and Technology, East Carolina University, Greenville, North Carolina, USA
| | - Huyanting Huang
- Department of Computer and Information Technology, Purdue University, West Lafayette, Indiana, USA
| | - Baijain Yang
- Department of Computer and Information Technology, Purdue University, West Lafayette, Indiana, USA
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Ritchie C, Walters RW, Ramaswamy S, Alla VM. Impact of delirium on mortality in patients hospitalized for heart failure. Int J Psychiatry Med 2022; 57:212-225. [PMID: 34176306 DOI: 10.1177/00912174211028019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Heart Failure (HF) is one of the leading causes of hospitalization in the United States accounting for ≈800,000 hospital discharges and $11 billion in annual costs. Delirium occurs in approximately 30% of elderly hospitalized patients and its incidence is significantly higher among those admitted to the critical care units. Despite this, there has been limited exploration of the clinical and economic impact of delirium in patients hospitalized with acute HF. We hypothesized that delirium in HF is associated with excess mortality and hospital costs. METHODS We queried the 2001-2014 Nationwide Inpatient Sample to identify hospitalizations that included a primary discharge diagnosis of HF (ICD-9-CM: 428.xx) and stratified them by presence or absence of delirium (ICD-9-CM: 239.0, 290.41, 293.0, 293.1, 348.31). Differences in in-hospital mortality, length of stay (LOS), and hospital costs were assessed using propensity-score matched cohorts. RESULTS Major predictors of delirium included advanced age, Caucasian race, underlying dementia or psychiatric diagnoses, higher Elixhauser Comorbidity Index, renal failure, cardiogenic shock, and coronary artery bypass surgery. In the propensity-score matched analysis of 76,411 hospitalization with delirium compared to 76,612 without delirium, in-hospital mortality (odds ratio: 1.67, 95% CI: 1.51-1.77), LOS (rate ratio [RR]: 1.47, 95% CI: 1.45-1.51), and hospital costs (RR: 1.44, 95% CI: 1.41-1.48) were all statistically higher in the presence of delirium (all p < 0.001). CONCLUSION In patients hospitalized with HF, delirium is an independent predictor of increased in-hospital mortality, longer LOS, and excess hospital costs despite adjustment for baseline characteristics.
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Affiliation(s)
| | - Ryan W Walters
- Division of Clinical Research and Evaluative Sciences, 12282Creighton University School of Medicine, Department of Medicine, Creighton University School of Medicine, Omaha, NE, USA
| | - Sriram Ramaswamy
- Department of Psychiatry, Creighton University School of Medicine, Creighton University School of Medicine, Omaha, NE, USA
| | - Venkata M Alla
- Division of Cardiology, Department of Medicine, Creighton University School of Medicine, Omaha, NE, USA
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Anzai T, Sato T, Fukumoto Y, Izumi C, Kizawa Y, Koga M, Nishimura K, Ohishi M, Sakashita A, Sakata Y, Shiga T, Takeishi Y, Yasuda S, Yamamoto K, Abe T, Akaho R, Hamatani Y, Hosoda H, Ishimori N, Kato M, Kinugasa Y, Kubozono T, Nagai T, Oishi S, Okada K, Shibata T, Suzuki A, Suzuki T, Takagi M, Takada Y, Tsuruga K, Yoshihisa A, Yumino D, Fukuda K, Kihara Y, Saito Y, Sawa Y, Tsutsui H, Kimura T. JCS/JHFS 2021 Statement on Palliative Care in Cardiovascular Diseases. Circ J 2021; 85:695-757. [PMID: 33775980 DOI: 10.1253/circj.cj-20-1127] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Toshihisa Anzai
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine
| | - Takuma Sato
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine
| | - Yoshihiro Fukumoto
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine
| | - Chisato Izumi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center
| | - Yoshiyuki Kizawa
- Department of Palliative Medicine, Kobe University Graduate School of Medicine
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center
| | | | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Akihiro Sakashita
- Department of Palliative Medicine, Kobe University Graduate School of Medicine
| | - Yasushi Sakata
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Tsuyoshi Shiga
- Department of Clinical Pharmacology and Therapeutics, The Jikei University School of Medicine
| | | | - Satoshi Yasuda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine
| | - Kazuhiro Yamamoto
- Department of Cardiovascular Medicine and Endocrinology and Metabolism, Tottori University Hospital
| | - Takahiro Abe
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine
| | - Rie Akaho
- Department of Psychiatry, Tokyo Women's Medical University
| | - Yasuhiro Hamatani
- Department of Cardiology, National Hospital Organization Kyoto Medical Center
| | - Hayato Hosoda
- Department of Cardiovascular Medicine, Chikamori Hospital
| | - Naoki Ishimori
- Department of Community Heart Failure Healthcare and Pharmacy, Hokkaido University Graduate School of Medicine
| | - Mika Kato
- Nursing Department, Hokkaido University Hospital
| | - Yoshiharu Kinugasa
- Department of Cardiovascular Medicine and Endocrinology and Metabolism, Tottori University Hospital
| | - Takuro Kubozono
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Toshiyuki Nagai
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine
| | - Shogo Oishi
- Department of Cardiovascular Medicine, Hyogo Brain and Heart Center
| | - Katsuki Okada
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Tatsuhiro Shibata
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine
| | - Atsushi Suzuki
- Department of Cardiology, Tokyo Women's Medical University
| | | | - Masahito Takagi
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center
| | - Yasuko Takada
- Nursing Department, National Cerebral and Cardiovascular Center
| | | | - Akiomi Yoshihisa
- Department of Cardiovascular Medicine, Fukushima Medical University
| | | | - Keiichi Fukuda
- Department of Cardiology, Keio University School of Medicine
| | | | - Yoshihiko Saito
- Department of Cardiovascular Medicine, Nara Medical University
| | - Yoshiki Sawa
- Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine
| | - Hiroyuki Tsutsui
- Department of Cardiovascular Medicine, Kyushu University Graduate School of Medical Sciences
| | - Takeshi Kimura
- Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine
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Diagnostic Agreement between Physicians and a Consultation-Liaison Psychiatry Team at a General Hospital: An Exploratory Study across 20 Years of Referrals. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18020749. [PMID: 33477280 PMCID: PMC7830763 DOI: 10.3390/ijerph18020749] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 01/09/2021] [Accepted: 01/15/2021] [Indexed: 11/16/2022]
Abstract
Consultation-liaison psychiatry (CLP) manages psychiatric care for patients admitted to a general hospital (GH) for somatic reasons. We evaluated patterns in psychiatric morbidity, reasons for referral and diagnostic concordance between referring doctors and CL psychiatrists. Referrals over the course of 20 years (2000-2019) made by the CLP Service at Modena GH (Italy) were retrospectively analyzed. Cohen's kappa statistics were used to estimate the agreement between the diagnoses made by CL psychiatrist and the diagnoses considered by the referring doctors. The analyses covered 18,888 referrals. The most common referral reason was suspicion of depression (n = 4937; 32.3%), followed by agitation (n = 1534; 10.0%). Psychiatric diagnoses were established for 13,883 (73.8%) referrals. Fair agreement was found for depressive disorders (kappa = 0.281) and for delirium (kappa = 0.342), which increased for anxiety comorbid depression (kappa = 0.305) and hyperkinetic delirium (kappa = 0.504). Moderate agreement was found for alcohol or substance abuse (kappa = 0.574). Referring doctors correctly recognized psychiatric conditions due to their exogenous etiology or clear clinical signs; in addition, the presence of positive symptoms (such as panic or agitation) increased diagnostic concordance. Close daily collaboration between CL psychiatrists and GH doctors lead to improvements in the ability to properly detect comorbid psychiatric conditions.
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