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Feng L, Liu Y, Li P, Wan H, Deng X, Wang T, Fu H, Duan X. Association between cerebrovascular disease and perioperative neurocognitive disorders: a retrospective cohort study. Int J Surg 2024; 110:353-360. [PMID: 37916928 PMCID: PMC10793752 DOI: 10.1097/js9.0000000000000842] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 09/28/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND Previous studies have shown that patients with cerebrovascular disease (CVD) have a significantly increased risk of cognitive decline or dementia; however, the association between preoperative CVD and perioperative neurocognitive disorders (PNDs) remains unclear. This study aimed to explore the correlation between preoperative CVD and PNDs, as well as combine logistic regression and receiver operating characteristic (ROC) curves to construct a clinical prediction PND model. MATERIALS AND METHODS This retrospective cohort study evaluated 13 899 surgical patients of a large-scale comprehensive hospital between January 2021 and January 2022 to explore the association between preoperative CVD and PNDs, with follow-up to monitor postoperative survival until 28 February 2023, unless the patient died. The study participants comprised all inpatients from the Bone and Joint Surgery, Spine Surgery, Urology, Hepatobiliary Surgery, Gastrointestinal Surgery, and Thoracic Surgery departments. Patients were classified into two groups: the CVD group with a confirmed diagnosis and the noncerebrovascular disease group. The incidence of PNDs was measured, and potential associations between patient demographic information, preoperative comorbidities, and CVD, as well as the correlation between preoperative CVD and PNDs, were investigated by multivariate logistic regression analysis. Next, the authors constructed a clinical prediction PND model by drawing the ROC curve. The postoperative survival of all patients was tracked, and a survival curve was constructed and incorporated into the Cox proportional hazard regression model to analyze the relationship between preoperative CVD and the overall postoperative survival rate. RESULTS Of the included 13 899 patients, propensity score matching yielded 1006 patient pairs. Multivariate logistic regression analysis revealed that CVD was an independent risk factor for PNDs [odds ratio: 10.193; 95% CI: 7.454-13.938; P <0.001]. Subsequently, the authors developed a clinical prediction model for PNDs by multivariate logistic regression analysis. The area under the ROC curve was 0.798 (95% CI: 0.765-0.830). The survival of 11 702 patients was followed up. Multivariate Cox hazard ratio regression analysis revealed that CVD affected the overall postoperative survival rate (hazard ratio, 1.398; 95% CI: 1.112-1.758; P <0.001). CONCLUSION CVD was an independent risk factor for PNDs and affected the overall postoperative survival rate of surgical patients with preoperative CVD.
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Affiliation(s)
- Lan Feng
- Department of Anesthesiology
- Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Southwest Medical University, Luzhou, Sichuan Province
- Department of Anesthesiology, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, People’s Republic of China
| | - Yuanhui Liu
- Department of Anesthesiology
- Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Southwest Medical University, Luzhou, Sichuan Province
| | - PengFei Li
- Department of Anesthesiology
- Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Southwest Medical University, Luzhou, Sichuan Province
| | - Hengjun Wan
- Department of Anesthesiology
- Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Southwest Medical University, Luzhou, Sichuan Province
| | - Xiren Deng
- Department of Anesthesiology
- Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Southwest Medical University, Luzhou, Sichuan Province
| | - Tingting Wang
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University
| | - Hong Fu
- Department of Anesthesiology, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, People’s Republic of China
| | - Xiaoxia Duan
- Department of Anesthesiology
- Anesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Southwest Medical University, Luzhou, Sichuan Province
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Feinkohl I, Janke J, Slooter AJC, Winterer G, Spies C, Pischon T. Metabolic syndrome and the risk of postoperative delirium and postoperative cognitive dysfunction: a multi-centre cohort study. Br J Anaesth 2023:S0007-0912(23)00206-4. [PMID: 37344340 DOI: 10.1016/j.bja.2023.04.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 04/21/2023] [Accepted: 04/22/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND Metabolic syndrome and its components are risk factors for cognitive impairment, but their contribution to perioperative neurocognitive disorders is unknown. We examined their associations with the risk of postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) in older patients. METHODS In 765 male and female participants aged ≥65 years, we measured preoperative metabolic parameters and screened for POD for 7 days or until discharge. POCD was defined through comparison of cognitive change on six neuropsychological tests with non-surgical controls. Multiple logistic regression analyses examined the association of metabolic parameters with risk of POD and POCD with adjustment for age, sex, and surgery type. RESULTS A total of 149 patients (19.5% of 765) developed POD and 53 (10.1% of 520 attendees) had POCD at 3 months. Patients with metabolic syndrome were at 1.85-fold higher risk of POD (95% confidence interval [CI] 1.26-2.70). Each 1 mmol L-1 higher high-density lipoprotein cholesterol (HDL-C) was associated with a 0.47-fold lower POD risk (95% CI 0.30-0.74). Each 1 kg m-2 higher body mass index (BMI) was associated with a 1.09-fold higher POCD risk (95% CI 1.02- 1.16). CONCLUSIONS Older surgical patients with metabolic syndrome were at increased risk of POD. Only reduced HDL-C was significantly associated with POD. For POCD, a higher preoperative BMI was identified as a risk factor. These findings add to mounting evidence of a distinct epidemiology of POD and POCD. Screening programmes taking advantage of HDL-C and BMI measurements and of metabolic interventions in reducing perioperative neurocognitive disorders should be evaluated. CLINICAL TRIAL REGISTRATION NCT02265263.
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Affiliation(s)
- Insa Feinkohl
- Witten/Herdecke University, Medical Biometry and Epidemiology Group, Witten, Germany; Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany.
| | - Jürgen Janke
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany; Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
| | - Arjen J C Slooter
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Psychiatry and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| | - Georg Winterer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Claudia Spies
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Tobias Pischon
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany; Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Core Facility Biobank, Berlin, Germany
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Peri-Operative Risk Factors Associated with Post-Operative Cognitive Dysfunction (POCD): An Umbrella Review of Meta-Analyses of Observational Studies. J Clin Med 2023; 12:jcm12041610. [PMID: 36836145 PMCID: PMC9965885 DOI: 10.3390/jcm12041610] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/12/2023] [Accepted: 02/14/2023] [Indexed: 02/19/2023] Open
Abstract
This umbrella review aimed to systematically identify the peri-operative risk factors associated with post-operative cognitive dysfunction (POCD) using meta-analyses of observational studies. To date, no review has synthesised nor assessed the strength of the available evidence examining risk factors for POCD. Database searches from journal inception to December 2022 consisted of systematic reviews with meta-analyses that included observational studies examining pre-, intra- and post-operative risk factors for POCD. A total of 330 papers were initially screened. Eleven meta-analyses were included in this umbrella review, which consisted of 73 risk factors in a total population of 67,622 participants. Most pertained to pre-operative risk factors (74%) that were predominantly examined using prospective designs and in cardiac-related surgeries (71%). Overall, 31 of the 73 factors (42%) were associated with a higher risk of POCD. However, there was no convincing (class I) or highly suggestive (class II) evidence for associations between risk factors and POCD, and suggestive evidence (class III) was limited to two risk factors (pre-operative age and pre-operative diabetes). Given that the overall strength of the evidence is limited, further large-scale studies that examine risk factors across various surgery types are recommended.
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Liu T, Chen X, Wei Z, Han X, Liu Y, Ma Z, Xia T, Gu X. PPARα agonist fenofibrate prevents postoperative cognitive dysfunction by enhancing fatty acid oxidation in mice. Transl Neurosci 2023; 14:20220317. [PMID: 38023298 PMCID: PMC10656729 DOI: 10.1515/tnsci-2022-0317] [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: 07/14/2023] [Revised: 09/08/2023] [Accepted: 09/19/2023] [Indexed: 12/01/2023] Open
Abstract
Background Due to high rates of incidence and disability, postoperative cognitive dysfunction (POCD) currently receives a lot of clinical attention. Disturbance of fatty acid oxidation is a potential pathophysiological manifestation underlying POCD. Peroxisome proliferator-activated receptor α (PPARα) is a significant transcription factor of fatty acid oxidation that facilitates the transfer of fatty acids into the mitochondria for oxidation. The potential role of PPARα intervention in POCD warrants consideration. Objective The present study is aimed to investigate whether PPARα agonist fenofibrate (FF) could protect long-term isoflurane anesthesia-induced POCD model and to explore the potential underlying function of fatty acid oxidation in the process. Methods We established the POCD model via 6 h long-term isoflurane anesthesia in vivo with C57BL/6J mice and in vitro with N2a cells. Cells and mice were pretreated with PPARα agonist FF before anesthesia, after which fatty acid oxidation and cognitive function were assessed. The level of fatty acid oxidation-related proteins was determined using western blotting. The contextual fear conditioning test was utilized to evaluate mice's learning and memory. Results Our results showed that 6 h long-term isoflurane anesthesia induced contextual memory damage in mice, accompanied by decreases of fatty acid oxidation-related proteins (peroxisome proliferator-activated receptor γ coactivator 1α, carnitine palmitoyltransferase 1A, and PPARα) both in the hippocampus of POCD mice and in N2a cells. In the N2a cell model, pretreatment of PPARα agonist FF led to the upregulation of fatty acid oxidation-related proteins. In vivo results showed that preconditioned FF reached similar effects. More crucially, FF has been shown to reduce cognitive damage in mice after long-term isoflurane anesthesia. Additionally, our data showed that after blocking fatty acid oxidation by Etomoxir, FF failed to protect cognitive function from long-term isoflurane anesthesia. Conclusions Pretreatment of PPARα agonist FF can protect against long-term isoflurane anesthesia-induced POCD by enhancing fatty acid oxidation.
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Affiliation(s)
- Tiantian Liu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing210008, China
- Medical School, Nanjing University, Nanjing210093, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Xinlu Chen
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing210008, China
- Medical School, Nanjing University, Nanjing210093, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Ziqi Wei
- Medical School, Nanjing University, Nanjing210093, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Xue Han
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing210008, China
- Medical School, Nanjing University, Nanjing210093, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Yujia Liu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing210008, China
- Medical School, Nanjing University, Nanjing210093, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Zhengliang Ma
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing210008, China
| | - Tianjiao Xia
- Medical School, Nanjing University, Nanjing210093, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Xiaoping Gu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing210008, China
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Xia T, Yang C, Wang X, Bai L, Ma J, Zhao M, Hua W, Wang H. Heterogeneous nuclear ribonucleoprotein A2/B1 as a novel biomarker in elderly patients for the prediction of postoperative neurocognitive dysfunction: A prospective nested case-control study. Front Aging Neurosci 2022; 14:1034041. [PMID: 36337695 PMCID: PMC9634074 DOI: 10.3389/fnagi.2022.1034041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/03/2022] [Indexed: 11/13/2022] Open
Abstract
Background and objective Postoperative neurocognitive dysfunction (PND) occurs in up to 54% of older patients, giving rise to the heavy psychological and economic burdens to patients and society. To date, the development of PND biomarkers remains a challenge. Heterogeneous nuclear ribonucleoprotein A2/B1 (hnRNPA2/B1) is an RNA-binding protein whose prion-like structure is prone to mutation and hence leads to neurodegenerative diseases, but its expression changes in PND remains unclear. Here, we detect the preoperative hnRNPA2/B1 level in patients with PND, and to explore its value in the prediction and diagnosis of PND. Methods The study included 161 elderly patients undergoing lumbar decompression and fusion in Nankai University Affinity the Third Central Hospital from September 2021 to July 2022. Neuropsychological and psychometric evaluations were performed before surgery, 1 week and 3 months after surgery to diagnose the occurrence of PND, then the peripheral blood was collected from patients before induction of anesthesia. The concentration in plasma of hnRNPA2/B1 and amyloid-β 42 were determined by enzyme-linked immunosorbent assay. The median fluorescence intensity and mRNA levels of hnRNPA2/B1 in peripheral blood mononuclear cells was detected by indirect intracellular staining flow cytometry and quantitative real-time PCR, respectively. Results The preoperative hnRNPA2/B1 level in patients with PND was higher both in short-time and long-time follow-up. We found significantly higher concentrations of hnRNPA2/B1 in PND at 7 days after surgery (median, 72.26 pg/mL vs. 54.95 pg/mL, p = 0.022) compared with patients without PND, and so as 3 months after surgery (median, 102.93 pg/mL vs. 56.38 pg/mL, p = 0.012). The area under the curve (AUC) was predicted to be 0.686 at 7 days after surgery and 0.735 at 3 months. In addition, when combining several clinical information, the diagnostic efficiency of hnRNPA2/B1 for PND could further increase (AUC, 0.707 at 7 days, 0.808 at 3 months). Conclusion Based on the findings reported here, hnRNPA2/B1 may serve as a new and powerful predictive biomarker to identify elderly patients with PND.
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Affiliation(s)
- Tong Xia
- Department of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
| | - Chenyi Yang
- Department of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Anesthesiology, Nankai University Affinity the Third Central Hospital, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Xinyi Wang
- Department of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Anesthesiology, Nankai University Affinity the Third Central Hospital, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Lili Bai
- Department of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
| | - Ji Ma
- Department of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Anesthesiology, Nankai University Affinity the Third Central Hospital, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Mingshu Zhao
- Department of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Anesthesiology, Nankai University Affinity the Third Central Hospital, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Wei Hua
- Department of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Anesthesiology, Nankai University Affinity the Third Central Hospital, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
| | - Haiyun Wang
- Department of Anesthesiology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Anesthesiology, Nankai University Affinity the Third Central Hospital, Tianjin, China
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China
- Artificial Cell Engineering Technology Research Center, Tianjin, China
- Tianjin Institute of Hepatobiliary Disease, Tianjin, China
- *Correspondence: Haiyun Wang,
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Kohler J, Borchers F, Endres M, Weiss B, Spies C, Emmrich JV. Cognitive Deficits Following Intensive Care. DEUTSCHES ARZTEBLATT INTERNATIONAL 2020; 116:627-634. [PMID: 31617485 DOI: 10.3238/arztebl.2019.0627] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 02/06/2019] [Accepted: 07/16/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Illnesses that necessitate intensive care can impair cognitive function severely over the long term, leaving patients less able to cope with the demands of everyday living and markedly lowering their quality of life. There has not yet been any comprehensive study of the cognitive sequelae of critical illness among non- surgical patients treated in intensive care. The purpose of this review is to present the available study findings on cognitive deficits in such patients, with particular at- tention to prevalence, types of deficit, clinical course, risk factors, prevention, and treatment. METHODS This review is based on pertinent publications retrieved by a selective search in MEDLINE. RESULTS The literature search yielded 3360 hits, among which there were 14 studies that met our inclusion criteria. 17-78% of patients had cognitive deficits after dis- charge from the intensive care unit; most had never had a cognitive deficit before. Cognitive impairment often persisted for up to several years after discharge (0.5 to 9 years) and tended to improve over time. The only definite risk factor is delirium. CONCLUSION Cognitive dysfunction is a common sequela of the treatment of non-surgical patients in intensive care units. It is a serious problem for the affected persons and an increasingly important socio-economic problem as well. The effective management of delirium is very important. General conclusions are hard to draw from the available data because of heterogeneous study designs, varying methods of measurement, and differences among patient cohorts. Further studies are needed so that study designs and clinical testing procedures can be standard- ized and effective measures for prevention and treatment can be identified.
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Affiliation(s)
- Joel Kohler
- Department of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin; Department of Anesthesiology and Operative Intensive Care Medicine at Campus Benjamin Franklin Charité-Universitätsmedizin Berlin
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Sturm H, Wildermuth R, Stolz R, Bertram L, Eschweiler GW, Thomas C, Rapp M, Joos S. Diverging Awareness of Postoperative Delirium and Cognitive Dysfunction in German Health Care Providers. Clin Interv Aging 2019; 14:2125-2135. [PMID: 31849456 PMCID: PMC6910093 DOI: 10.2147/cia.s230800] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 11/05/2019] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Postoperative cognitive dysfunction (POCD) appears in up to 30% of patients suffering from postoperative delirium (POD). Both are associated with higher mortality and postoperative complications, prolonged hospital stays, and increased costs. Multi-modal models with pre-admission risk reduction counselling, perioperative monitoring, and training of multidisciplinary patient care providers have been shown to decrease the prevalence of both. The aim of our study is to understand how far those measures are known and implemented in routine care and to detect potential gaps in the current practice regarding risk communication and information flow between involved caregivers for patients at risk for POD/POCD. PATIENTS AND METHODS As part of a multicenter study, seven semi-structured focus group (FG) discussions with nurses and physicians from tertiary care hospitals (surgery, anesthesiology, and orthopedics, n=31) and general practitioners (GPs) in private practice (n=7) were performed. Transcribed discussions were analyzed using qualitative content analysis. RESULTS POD is present above all in the daily work of nurses, whereas physicians do not perceive it as a relevant problem. Physicians report that no regular risk assessment or risk communication was performed prior to elective surgery. Information about POD often gets lost during hand-offs and is not regularly reported in discharge letters. Thus, persisting cognitive dysfunction is often missed. The importance of standardized documentation and continuous education concerning risks, screening, and treatment was emphasized. The often-suggested pre-OP medication adjustment was seen as less important; in contrast, avoiding withdrawal was regarded as far more important. CONCLUSION Altogether, it seems that standards and available best practice concepts are rarely implemented. In contrast to physicians, nurses are highly aware of delirium and ask for standardized procedures and more responsibility. Therefore, raising awareness regarding risks, screening tools, and effective preventive measures for POD/POCD seems an urgent goal. Nurses should have a central role in coordination and care of POD to prevent the risk for POCD.
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Affiliation(s)
- H Sturm
- Institute for General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany
| | - R Wildermuth
- Institute for General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany
| | - R Stolz
- Institute for General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany
| | - L Bertram
- Institute for General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany
| | - GW Eschweiler
- Geriatric Center, University Hospital Tübingen, Tübingen72076, Germany
| | - C Thomas
- Department of Old Age Psychiatry and Psychotherapy, Klinikum Stuttgart, Stuttgart, Germany
| | - M Rapp
- Department of Social and Preventive Medicine, University of Potsdam, Potsdam, Germany
| | - S Joos
- Institute for General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany
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He X, Long G, Quan C, Zhang B, Chen J, Ouyang W. Insulin Resistance Predicts Postoperative Cognitive Dysfunction in Elderly Gastrointestinal Patients. Front Aging Neurosci 2019; 11:197. [PMID: 31440156 PMCID: PMC6694405 DOI: 10.3389/fnagi.2019.00197] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 07/15/2019] [Indexed: 01/01/2023] Open
Abstract
Background Members of the aging population who undergo surgery are at risk of postoperative cognitive dysfunction (POCD). Exploring an effective and reliable early predictor of POCD is essential to the identification of high-risk patients and to making prospective decisions. The purpose of this study was to examine whether preoperative insulin resistance is an independent predictor of POCD. Methods A total of 124 patients aged 60 years and older and who were scheduled for gastrointestinal surgery were enrolled in a prospective observational clinical study. All participants completed a battery of neuropsychological tests before surgery and 7 days later. POCD was defined as a decline of at least 1.5 SD on two or more of neuropsychological tests. Plasma concentration of the tumor necrosis factor α (TNF-α), C-reactive protein (CRP), and S-100β protein were measured. The status of insulin resistance was assessed by Homeostasis Model Assessment–Insulin Resistance (HOMA-IR). The relationship between HOMA-IR and POCD was assessed by Multivariable logistic regression models and the receiver operating characteristic (ROC) curve. Results Fifty one patients (41.1%) were diagnosed with POCD at 7 days after surgery. Preoperative HOMA-IR values of the POCD group were significantly higher than the non-POCD group. Furthermore, CRP and TNF-α levels of the POCD group were significantly higher at each postoperative time point (P < 0.05). The preoperative HOMA-IR value was an independent predictor of POCD (adjusted OR 1.88, 95% CI, 1.18–2.99) even after adjust for confounding variables, and when dichotomized, individuals above the HOMA-IR threshold (HOMA-IR > 2.6) had a three-times higher risk of POCD (OR 3.26; 95% CI, 1.07–9.91) compared to individuals below the threshold. The areas under the ROC curve of HOMA-IR was 0.804 (95% CI, 0.725–0.883; P < 0.001). The optimal cut-off value was found to be 0.583, with a sensitivity of 84.3% and specificity of 74%. The HOMA-IR value was positively associated with the TNF-α concentration at baseline (R2 = 0.43, P < 0.01) and 1 day after surgery (R2 = 0.3861, P < 0.01). Conclusion Preoperative insulin resistance is an effective predictor for the occurrence of POCD. Targeted prevention and treatment strategies of insulin resistance may be effective interventions of patients at risk for POCD.
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Affiliation(s)
- Xi He
- Department of Anesthesia, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Ge Long
- Department of Anesthesia, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Chengxuan Quan
- Department of Anesthesia, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Bin Zhang
- Department of Anesthesia, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Jia Chen
- Department of Anesthesia, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Wen Ouyang
- Department of Anesthesia, The Third Xiangya Hospital of Central South University, Changsha, China
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Abstract
PURPOSE OF REVIEW This article reviews the recent clinical evidence published between January 2017 and June 2018 - related to perioperative cognitive evaluation. Namely, new insights into risk factors, prevention, diagnosis and diagnostic tools and treatment. RECENT FINDINGS Several risk factors (preoperative, intraoperative and postoperative) have been found to be associated with the development of postoperative delirium (POD) and/or postoperative cognitive dysfunction (POCD). Short-term and long-term postoperative consequences can be reduced by targeting risk factors, introducing preventive strategies and including frequent cognitive monitoring. Administration of medications such as ketamine, opioids and benzodiazepines are associated with increased cognitive dysfunction. Prevention of POD/POCD starts with creating an environment, which promotes return to preoperative baseline functioning. This includes frequent monitoring of cognitive status, access to rehabilitation and psychological and social supports, and avoiding polypharmacy. In addition, patients should have early access to their sensory aids and maintain normal circadian rhythm. Treatment of POD/POCD has pharmacological and nonpharmacological approaches. SUMMARY Clinical evidence on POD/POCD is continuously evolving, which is essential in guiding clinical management to provide the highest quality of clinical care.
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Lachmann G, Feinkohl I, Borchers F, Ottens TH, Nathoe HM, Sauer AM, Dieleman JM, Radtke FM, van Dijk D, Spies C, Pischon T. Diabetes, but Not Hypertension and Obesity, Is Associated with Postoperative Cognitive Dysfunction. Dement Geriatr Cogn Disord 2019; 46:193-206. [PMID: 30326480 DOI: 10.1159/000492962] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 08/16/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Older people undergoing surgery are at risk of developing postoperative cognitive dysfunction (POCD), but little is known of risk factors predisposing patients to POCD. Our objective was to estimate the risk of POCD associated with exposure to preoperative diabetes, hypertension, and obesity. METHODS Original data from 3 randomised controlled trials (OCTOPUS, DECS, SuDoCo) were obtained for secondary analysis on diabetes, hypertension, baseline blood pressure, obesity (BMI ≥30 kg/m2), and BMI as risk factors for POCD in multiple logistic regression models. Risk estimates were pooled across the 3 studies. RESULTS Analyses totalled 1,034 patients. POCD occurred in 5.2% of patients in DECS, in 9.4% in SuDoCo, and in 32.1% of patients in OCTOPUS. After adjustment for age, sex, surgery type, randomisation, obesity, and hypertension, diabetes was associated with a 1.84-fold increased risk of POCD (OR 1.84; 95% CI 1.14, 2.97; p = 0.01). Obesity, BMI, hypertension, and baseline blood pressure were each not associated with POCD in fully adjusted models (all p > 0.05). CONCLUSION Diabetes, but not obesity or hypertension, is associated with increased POCD risk. Consideration of diabetes status may be helpful for risk assessment of surgical patients.
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Affiliation(s)
- Gunnar Lachmann
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
| | - Insa Feinkohl
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany,
| | - Friedrich Borchers
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Thomas H Ottens
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Hendrik M Nathoe
- Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Anne-Mette Sauer
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jan M Dieleman
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Finn M Radtke
- Anaestesiafdelingen, Næstved Sygehus, Næstved, Denmark
| | - Diederik van Dijk
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Claudia Spies
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Charité - Universitätsmedizin Berlin, Berlin, Germany.,MDC/BIH Biobank, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), and Berlin Institute of Health (BIH), Berlin, Germany
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