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Deng X. Risk factors of delirium after gastrointestinal surgery: A meta-analysis. J Clin Nurs 2024; 33:4155. [PMID: 38622916 DOI: 10.1111/jocn.17171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 04/07/2024] [Indexed: 04/17/2024]
Affiliation(s)
- Xuan Deng
- Colorectal and Anal Surgery, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China
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Katayama ES, Stecko H, Woldesenbet S, Khalil M, Munir MM, Endo Y, Tsilimigras D, Pawlik TM. The Role of Delirium on Short- and Long-Term Postoperative Outcomes Following Major Gastrointestinal Surgery for Cancer. Ann Surg Oncol 2024; 31:5232-5239. [PMID: 38683304 DOI: 10.1245/s10434-024-15358-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/09/2024] [Indexed: 05/01/2024]
Abstract
INTRODUCTION The growing burden of an aging population has raised concerns about demands on healthcare systems and resources, particularly in the context of surgical and cancer care. Delirium can affect treatment outcomes and patient recovery. We sought to determine the prevalence of postoperative delirium among patients undergoing digestive tract surgery for malignant indications and to analyze the role of delirium on surgical outcomes. METHODS Medicare claims data were queried to identify patients diagnosed with esophageal, gastric, hepatobiliary, pancreatic, and colorectal cancers between 2018 and 2021. Postoperative delirium, occurring within 30 days of operation, was identified via International Classification of Diseases, 10th edition codes. Clinical outcomes of interested included "ideal" textbook outcome (TO), characterized as the absence of complications, an extended hospital stay, readmission within 90 days, or mortality within 90 days. Discharge disposition, intensive care unit (ICU) utilization, and expenditures also were examined. RESULTS Among 115,654 cancer patients (esophageal: n = 1854, 1.6%; gastric: n = 4690, 4.1%; hepatobiliary: n = 6873, 5.9%; pancreatic: n = 8912, 7.7%; colorectal: n = 93,325, 90.7%), 2831 (2.4%) were diagnosed with delirium within 30 days after surgery. On multivariable analysis, patients with delirium were less likely to achieve TO (OR 0.27 [95% CI 0.25-0.30]). In particular, patients who experienced delirium had higher odds of complications (OR 3.00 [2.76-3.25]), prolonged length of stay (OR 3.46 [3.18-3.76]), 90-day readmission (OR 1.96 [1.81-2.12]), and 90-day mortality (OR 2.78 [2.51-3.08]). Furthermore, patients with delirium had higher ICU utilization (OR 2.85 [2.62-3.11]). Upon discharge, patients with delirium had a decreased likelihood of being sent home (OR 0.40 [0.36-0.46]) and instead were more likely to be transferred to a skilled nursing facility (OR 2.17 [1.94-2.44]). Due to increased utilization of hospital resources, patients with delirium incurred in-hospital expenditures that were 55.4% higher (no delirium: $16,284 vs. delirium: $28,742) and 90-day expenditures that were 100.7% higher (no delirium: $2564 vs. delirium: $8226) (both p < 0.001). Notably, 3-year postoperative survival was adversely affected by delirium (no delirium: 55.5% vs. delirium: 37.3%), even after adjusting risk for confounding factors (HR 1.79 [1.70-1.90]; p < 0.001). CONCLUSIONS Postoperative delirium occurred in one in 50 patients undergoing surgical resection of a digestive tract cancer. Delirium was linked to a reduced likelihood of achieving an optimal postoperative outcome, increased ICU utilization, higher expenditures, and a worse long-term prognosis. Initiatives to prevent delirium are vital to improve postoperative outcomes among cancer surgery patients.
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Affiliation(s)
- Erryk S Katayama
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Hunter Stecko
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Selamawit Woldesenbet
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Mujtaba Khalil
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Muhammad Musaab Munir
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Yutaka Endo
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Diamantis Tsilimigras
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
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Dong B, Yu D, Zhang H, Li P, Li Y, Li C, Li J. Association between preoperative sarcopenia and postoperative delirium in older patients undergoing gastrointestinal cancer surgery. Front Aging Neurosci 2024; 16:1416569. [PMID: 39144259 PMCID: PMC11322050 DOI: 10.3389/fnagi.2024.1416569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 07/19/2024] [Indexed: 08/16/2024] Open
Abstract
Background Postoperative delirium (POD) is a usual neurological complication, often leading to poor prognoses. Early identification of high-risk patients is crucial for preventing POD. Sarcopenia is an age-related geriatric syndrome characterized by the loss of skeletal muscle mass and function, and previous studies indicated that preoperative low muscle mass might be a predictor for POD. However, the association between preoperative sarcopenia and POD remains to be fully elucidated. This study was to explore the correlation between preoperative sarcopenia and POD following gastrointestinal cancer surgery in older patients. Methods Older patients (≥60 years) undergoing gastrointestinal cancer surgery were enrolled. Sarcopenia was defined based on the Special Interest Group on sarcopenia of the International Society of Physical and Rehabilitation Medicine (ISarcoPRM), which combined the loss of muscle mass (evaluated by ultrasound) and function (assessed by chair stand test and handgrip strength) before surgery. POD assessment was performed using the Confusion Assessment Method (CAM) or CAM for the intensive care unit (CAM-ICU) during the first 7 days after surgery or before discharge. Multivariate logistic regression analysis examined the correlation between preoperative sarcopenia and POD. Moreover, the receiver operator characteristic (ROC) curve was applied to analyze the predictive effect of the preoperative sarcopenia in POD. Results One hundred and thirty patients were finally included, of which 43 patients presented with sarcopenia before surgery. Twenty-four patients ultimately developed POD, and the incidence was 18.5%. The results of the multivariate analyses demonstrated that preoperative sarcopenia was still independently associated with POD after adjusting for age ≥70 years, preoperative Mini-Mental State Examination score, and intraoperative blood transfusion. The area under the ROC curve of preoperative sarcopenia in predicting POD was 0.680 (95% confidence interval 0.557-0.804). Conclusion Preoperative sarcopenia defined by ISarcoPRM criteria was independently associated with POD in geriatric patients after gastrointestinal cancer surgery.
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Affiliation(s)
- Bo Dong
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, Hebei, China
- Graduate Faculty, Hebei North University, Zhangjiakou, China
| | - Dongdong Yu
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Huanhuan Zhang
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Pan Li
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Yi Li
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Chong Li
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Jianli Li
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, Hebei, China
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Tan S, Pan S, Wei L, Chen W, Pan B, Kong G, Chen J, Xie Y. Association of peripheral B cells and delirium: combined single-cell sequencing and Mendelian randomization analysis. Front Neurol 2024; 15:1343726. [PMID: 38379709 PMCID: PMC10876872 DOI: 10.3389/fneur.2024.1343726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 01/23/2024] [Indexed: 02/22/2024] Open
Abstract
Background Delirium seriously affects the prognosis of patients and greatly reduces the ability to work and live. Peripheral inflammatory events may contribute to the development of delirium, the mechanism of which is still unclear. There is a lack of effective diagnostic and treatments for delirium in clinical practice. The study aims to investigate alterations in peripheral immune cell subsets under inflammatory stress and to explore causal associations with delirium. Methods Single-cell transcriptional sequencing data of human peripheral blood mononuclear cells (PBMC) before and after lipopolysaccharide (LPS) intervention were processed by the Seurat package in R software. PBMC subsets and cellular markers were defined after downscaling and clustering by the Harmony algorithm to identify characteristic subsets in the context of inflammatory stress. Subsequently, a two-sample Mendelian randomization (MR) study was used to explore the causal associations of these inflammation-related PBMC subsets and their molecular phenotypes with delirium. Based on publicly available genetic data, the study incorporated 70 PBMC-associated immune traits, including 8 types of circulating immune cells, 33 B cell subsets and molecular phenotypes, 13 T cell subsets, and 16 B cell-associated cytokines. The results were also validated for robustness, heterogeneity, and horizontal pleiotropy. Results Under LPS-induced inflammatory stress, B cells, T cells, monocytes, and dendritic cells in human PBMC showed significant activation and quantitative changes. Of these, only lymphocyte and B cell counts were causally associated with delirium risk. This risk link is also seen in the TNF pathway. Further studies of B cells and their subsets revealed that this association may be related to unswitched memory B cells and CD27 expressed on memory B cells. Annotation of the screened SNPs revealed significant polymorphisms in CD27 and CD40 annotated by rs25680 and rs9883798, respectively. The functions of the key annotated genes may be related to the regulation of immune responses, cell differentiation, proliferation, and intercellular interactions. Conclusion The present study revealed the potential possibility that B cell, memory B cell subset, and TNF-related molecules may be involved in the development of delirium due to peripheral inflammation, which can provide clues for further investigation of delirium prevention and treatment strategies.
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Affiliation(s)
- Siyou Tan
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Sining Pan
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Lai Wei
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Wenyan Chen
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Bingbing Pan
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Gaoyin Kong
- Department of Anesthesiology, Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Jing Chen
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yubo Xie
- Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Guo Y, Lin J, Wu T, Zhou T, Mu Y. Risk factors for delirium among hospitalized adults with COVID-19: A systematic review and meta-analysis of cohort studies. Int J Nurs Stud 2023; 148:104602. [PMID: 37801933 DOI: 10.1016/j.ijnurstu.2023.104602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 07/13/2023] [Accepted: 08/28/2023] [Indexed: 10/08/2023]
Abstract
OBJECTIVES This study aims to systematically assess the risk factors, the overall strength of association, and evidence quality related to delirium among adults hospitalized with COVID-19. METHODS A comprehensive search was conducted in thirteen databases from inception to February 10, 2023. The included databases were thoroughly searched, including PubMed, Web of Science, Proquest, Ovid MEDLINE, CINAHL, Scopus, the Cochrane Library, FMRS, Wanfang Database, Chinese Biomedical Database (CBM), China Knowledge Resource Integrated Database (CNKI), Weipu Database (VIP), and Embase. The search was limited to articles published in English and Chinese. The selected studies were screened, data were extracted, and the quality was evaluated using the Newcastle-Ottawa Scale. Meta-analysis was performed using RevMan 5.4 software. The certainty of the evidence was assessed using the GRADE criteria. RESULTS A total of 22 cohort studies with a sample size of 11,957 individuals were included in the analysis. Among these studies, 20 were of high quality, while the remaining 2 were of moderate quality. The risk factors that showed the strongest association with delirium were prior cognitive impairment (including dementia), mechanical ventilation, and ICU admission. Age, frailty (Clinical Frailty Scale score > 5), antipsychotic use, benzodiazepine use, neutrophil-to-lymphocyte ratio, and vasopressor use were identified as moderate risk factors for delirium. According to the GRADE evaluation, ICU admission, benzodiazepine use, neutrophil-to-lymphocyte ratio, and vasopressor use had a high-quality body of evidence, while antipsychotic usage had an intermediate-quality body of evidence. All other risk factors had a low-quality body of evidence. CONCLUSIONS This systematic review and meta-analysis identified several medium- to high-intensity risk factors for delirium in hospitalized adults with COVID-19. ICU admission, benzodiazepine usage, neutrophil-to-lymphocyte ratio, antipsychotic use, and vasopressor use were associated with delirium and were supported by medium- to high-quality evidence. These findings provide healthcare professionals with an evidence-based basis for managing and treating delirium in hospitalized adults with COVID-19.
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Affiliation(s)
- Yating Guo
- College of Nursing, Fujian University of Traditional Chinese Medicine, Fujian, China.
| | - Jiamin Lin
- College of Nursing, Fujian University of Traditional Chinese Medicine, Fujian, China.
| | | | - Tingting Zhou
- School of Nursing, Fudan University, Shanghai, China.
| | - Yan Mu
- Fujian Provincial Hospital, Teaching Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.
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He J, Duan R, Qiu P, Zhang H, Zhang M, Liu M, Wu X, Li J. The risk factors of postoperative cognitive dysfunction in patients undergoing carotid endarterectomy: an updated meta-analysis. J Cardiothorac Surg 2023; 18:309. [PMID: 37946270 PMCID: PMC10636909 DOI: 10.1186/s13019-023-02428-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVE The purpose of the current meta-analysis was to determine the incidence and risk factors to provide a scientific basis for prevention and treatment of postoperative cognitive dysfunction (POCD) after carotid endarterectomy (CEA). METHODS Relevant articles published before October 2022 were searched from Pubmed/MEDLINE, Cochrane and Embase databases. The outcomes were the incidence and risk factors for POCD. A random-effects model was applied to estimate the overall odds ratios (ORs) and mean differences (MDs) for all risk factors through STATA 14.0 and RevMan 5.4. The quality of eligible studies was evaluated by Newcastle-Ottawa Scale (NOS) as previously described. RESULTS A total of 22 articles involving 3459 CEA patients were finally identified. The weighted mean incidence of POCD was 19% (95% confidence intervals (95% CI) 0.16-0.24, P < 0.001). Of the 16 identified risk factors, hyperperfusion (OR: 0.54, 95% CI 0.41-0.71) and degree of internal carotid artery (ICA) stenosis (OR: 5.06, 95% CI 0.86-9.27) were the potential risk factors of POCD, whereas patients taking statins preoperative had a lower risk of POCD (OR: 0.54, 95% CI 0.41-0.71). Subgroup analysis revealed that the risk of POCD at 1 month after CEA was higher in patients with diabetes (OR: 1.70, 95% CI 1.07-2.71). CONCLUSION The risk factors of POCD were hyperperfusion and degree of ICA stenosis, while diabetes could significantly increase the incidence of POCD at 1 month after surgery. Additionally, preoperative statin use could be a protective factor for POCD following CEA.
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Affiliation(s)
- Jinhua He
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, China
| | - Ran Duan
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, China
| | - Peng Qiu
- Clinical Laboratory, Hebei General Hospital, Shijiazhuang, 050051, China
| | - Huanhuan Zhang
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, China
| | - Meng Zhang
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, China
| | - Meinv Liu
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, China
| | - Xiaoqian Wu
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, China
| | - Jianli Li
- Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, China.
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