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Shiraishi R, Shiraishi N, Fujimoto Y, Ogawa T. Malnutrition suppresses improvements in depression symptoms in older adult patients with stroke undergoing convalescent rehabilitation. Clin Nutr ESPEN 2024; 63:508-514. [PMID: 39053700 DOI: 10.1016/j.clnesp.2024.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 06/22/2024] [Accepted: 07/04/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND & AIMS Depression symptoms are both prevalent and associated with poor prognosis in patients with convalescent stroke. Therefore, the improvement of depression symptoms is important for patients with convalescent stroke. This study aimed to examine whether malnutrition diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria and its components are associated with improvements in depression symptoms in patients with stroke undergoing rehabilitation. METHODS This was a retrospective cohort study of older adult patients with convalescent stroke. Inclusion criteria comprised patients aged ≥65 years experiencing their first occurrence of stroke and admitted for rehabilitation therapy. Patients were classified into either the malnutrition or normal nutrition groups based on the diagnosis of malnutrition using the GLIM criteria. The Geriatric Depression Screening Scale (GDS)-15 was used to evaluate depression symptoms. The primary outcome of the study was the change in depression symptoms, indicating a change in GDS score from admission to discharge. The association between malnutrition diagnosed using the GLIM criteria and change in depression symptoms was assessed using multiple regression analysis. Additionally, associations with the constructs of the GLIM criteria were investigated. RESULTS The malnutrition group comprised 64 (45%) patients, with a mean age of 78.2 years; 77 (54%) and 66 (46%) were males and females, respectively. Multiple regression analysis showed that malnutrition, diagnosed using the GLIM criteria (β: -0.306, p < 0.001), was independently associated with changes in depression symptoms. Moreover, the GLIM criterion component of reduced muscle mass (β: -0.235, p < 0.001) demonstrated a negative association with a change in depression symptoms. CONCLUSION Malnutrition and reduced muscle mass, diagnosed using the GLIM criteria in patients with stroke undergoing convalescent rehabilitation, were found to suppress the improvement of depression symptoms.
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Affiliation(s)
- Ryo Shiraishi
- Clinical Education and Research Center, Chuzan Hospital, 6-2-1 Matsumoto, Okinawa City, Okinawa 904-2151, Japan; Department of Clinical Research and Quality Management, Graduate School of Medicine, University of the Ryukyus, Nishihara-cho, Okinawa 903-0215, Japan; Department of Rehabilitation Medicine, Aichi Medical University, Nagakute City, Aichi 480-1103, Japan.
| | - Nami Shiraishi
- Clinical Education and Research Center, Chuzan Hospital, 6-2-1 Matsumoto, Okinawa City, Okinawa 904-2151, Japan.
| | - Yuta Fujimoto
- Clinical Education and Research Center, Chuzan Hospital, 6-2-1 Matsumoto, Okinawa City, Okinawa 904-2151, Japan.
| | - Takahiro Ogawa
- Clinical Education and Research Center, Chuzan Hospital, 6-2-1 Matsumoto, Okinawa City, Okinawa 904-2151, Japan; Department of Rehabilitation Medicine, Aichi Medical University, Nagakute City, Aichi 480-1103, Japan.
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Wang R, Liang Y, Jiang J. Association between the geriatric nutritional risk index and clinical outcomes among peritoneal dialysis patients: A meta-analysis. Medicine (Baltimore) 2024; 103:e38048. [PMID: 38701289 PMCID: PMC11062730 DOI: 10.1097/md.0000000000038048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 04/05/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND To identify the relationship between the geriatric nutritional risk index (GNRI) and clinical outcomes in patients receiving peritoneal dialysis (PD). METHODS The PubMed, EBASE, Web of Science and CNKI databases were searched for available studies up to December 25, 2023. The primary outcome was all-cause mortality, and the secondary outcomes included the incidence of PD dropout, major adverse cardiac and cerebrovascular events (MACCEs), technique failure and peritonitis. Hazard ratios (HRs) and 95% confidence intervals (CIs) were combined to evaluate the predictive value of the GNRI for the occurrence of the above endpoints. RESULTS Ten cohort studies with 3897 patients were included. The pooled results demonstrated that a lower GNRI was significantly associated with a greater incidence of all-cause mortality (HR = 0.71, 95% CI: 0.55-0.91; P = .007). In addition, a decreased GNRI predicted the occurrence of dropout from PD (HR = 0.971, 95% CI: 0.945-0.998, P = .034) and MACCE (HR = 0.95, 95% CI: 0.92-0.98, P = .001). However, no significant associations of the GNRI with technique failure (P = .167) or peritonitis (P = .96) were observed. CONCLUSION A low GNRI is significantly associated with poor clinical outcomes and might serve as a novel and valuable prognostic indicator among PD patients.
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Affiliation(s)
- Renjie Wang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Yuxiang Liang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Jiaojiao Jiang
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
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Chen Q, Zhu C, Ai Y, Wang J, Ding H, Luo D, Li Z, Song Y, Feng G, Liu L. Preoperative geriatric nutritional risk index is useful factor for predicting postoperative delirium among elderly patients with degenerative lumbar diseases. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2024; 33:1055-1060. [PMID: 38341814 DOI: 10.1007/s00586-024-08142-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/08/2024] [Accepted: 01/13/2024] [Indexed: 02/13/2024]
Abstract
PURPOSE It is the first study to evaluate the predictive value of the geriatric nutritional risk index (GNRI) on postoperative delirium (POD) after transforaminal lumber interbody fusion (TLIF) in elderly patients with degenerative lumbar diseases. METHODS A retrospective study was conducted to assess the outcomes of TLIF surgery in elderly patients with lumbar degenerative disease between the years 2016 and 2022. Delirium was diagnosed by reviewing postoperative medical records during hospitalization, utilizing the Confusion Assessment Method. The geriatric nutritional risk index was calculated using the baseline serum albumin level and body weight. Multivariate logistic regression analysis was employed to identify the association between preoperative GNRI and postoperative delirium (POD). Additionally, a receiver operating characteristic curve was utilized to determine the optimal GNRI cutoff for predicting POD. RESULTS POD was observed in 50 of the 324 patients. The GNRI was visibly reduced in the delirium group. The mean GNRI was 93.0 ± 9.1 in non-delirium group and 101.2 ± 8.2 in delirium group. On multivariate logistic regression, Risk of POD increases significantly with low GNRI and was an independent factor in predicting POD following TLIF (OR 0.714; 95% CI 0.540-0.944; p = 0.018). On receiver operating characteristic curve, the area under curve (AUC) for GNRI was 0.738 (95% CI 0.660-0.817). The cutoff value for GNRI according to the Youden index was 96.370 (sensitivity: 66.0%, specificity: 70.4%). CONCLUSION Our study indicated that lower GNRI correlated significantly with POD after TLIF. Performing GNRI evaluation prior to TLIF may be an effective approach of predicting the risk for POD among elderly patients with degenerative lumbar diseases.
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Affiliation(s)
- Qian Chen
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Department of Orthopaedics and Laboratory of Biological Tissue Engineering and Digital Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Ce Zhu
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Youwei Ai
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Juehan Wang
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Hong Ding
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Dun Luo
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Zheng Li
- Department of Neurosurgery, Hokkaido University, Sapporo, Japan
| | - Yueming Song
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ganjun Feng
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Limin Liu
- Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
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Wei F, Cheng H, He R, Yang X, Hu Z, Lyu J, Wang Y. Geriatric nutritional risk index independently predicts delirium in older patients in intensive care units: A multicenter cohort study. Arch Gerontol Geriatr 2024; 118:105288. [PMID: 38056103 DOI: 10.1016/j.archger.2023.105288] [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: 10/16/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Malnutrition is associated with clinical outcomes in several diseases. However, the role of malnutrition in the risk of delirium in elderly patients in intensive care units (ICU) remains unclear. This study aimed to elucidate the association between the Geriatric Nutritional Risk Index (GNRI) and the risk of delirium in elderly patients in the ICU. METHODS Elderly patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD) were included in this study, totaling 11,310 and 5,627, respectively. All subjects were stratified according to their GNRI score: those with no nutritional risk (GNRI > 98), mild nutritional risk (92 ≤ GNRI ≤ 98), moderate nutritional risk (82 ≤ GNRI ≤ 92), and severe nutritional risk (GNRI < 82). The primary outcome was delirium. RESULTS The GNRI in MIMIC-IV and eICU-CRD were 93.82 (84.88, 101.26) and 83.39 (75.95, 89.35), respectively. Compared to the cohort without nutritional risk, there was an increased risk of delirium in patients with mild nutritional risk (OR: 1.39, 95 % CI: 1.23-1.58), moderate nutritional risk (OR: 1.72, 95 % CI: 1.52-1.95), and severe nutritional risk (OR: 2.07, 95 % CI: 1.79-2.39). Inclusion of the GNRI score in the multivariate models improved the prediction of delirium. Similar results were found in the eICU-CRD database. CONCLUSIONS Nutritional assessment using the GNRI may be an independent predictor of the development of delirium in elderly patients in the ICU. The addition of the GNRI score to the delirium prediction model improves its predictive accuracy.
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Affiliation(s)
- Fangxin Wei
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Hongtao Cheng
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Ruiyao He
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Xin Yang
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Ziqi Hu
- School of Nursing, Jinan University, Guangzhou, Guangdong, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China; Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China.
| | - Yu Wang
- The Community Service Center of Jinan University, The First Affiliated Hospital of Jinan University, Guangzhou, China.
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Maruyama M, Kagaya Y, Kajiwara S, Oikawa T, Horikawa M, Fujimoto M, Sasaki M. The Validity of Quadriceps Muscle Thickness as a Nutritional Risk Indicator in Patients with Stroke. Nutrients 2024; 16:540. [PMID: 38398864 PMCID: PMC10891856 DOI: 10.3390/nu16040540] [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: 12/18/2023] [Revised: 02/08/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
This study aimed to investigate whether quadriceps muscle thickness (QMT) is useful for nutritional assessment in patients with stroke. This was a retrospective cohort study. Nutritional risk was assessed using the Geriatric Nutritional Risk Index (GNRI), with GNRI < 92 indicating a risk of malnutrition and GNRI ≥ 92 indicating normal conditions. Muscle mass was assessed using QMT and calf circumference (CC). The outcome was Functional Independence Measure (FIM) effectiveness. The cutoff values of QMT and CC for discriminating between high and low GNRI were determined using the receiver operating characteristic curve. The accuracy of the nutritional risk discrimination model was evaluated using the Matthews correlation coefficient (MCC). Multiple regression analysis was performed to assess the relationship between nutritional risk, as defined by QMT and CC, and FIM effectiveness. A total of 113 patients were included in the analysis. The cutoff values of QMT and CC for determining nutritional risk were 49.630 mm and 32.0 cm for men (MCC: 0.576; 0.553) and 41.185 mm and 31.0 cm for women (MCC: 0.611; 0.530). Multiple regression analysis showed that only nutritional risk defined by QMT was associated with FIM effectiveness. These findings indicate that QMT is valid for assessing nutritional risk in patients with stroke.
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Affiliation(s)
- Motoki Maruyama
- Department of Rehabilitation, Akita Cerebrospinal and Cardiovascular Center, 6-10 Senshu-Kubota-Machi, Akita 010-0874, Japan
- Department of Physical Therapy, Akita University Graduate School of Health Science, 1-1-1 Hondo, Akita 010-8543, Japan
- Department of Rehabilitation Medicine, Akita Cerebrospinal and Cardiovascular Center, 6-10 Senshu-Kubota-Machi, Akita 010-0874, Japan
| | - Yuki Kagaya
- Department of Rehabilitation, Akita Cerebrospinal and Cardiovascular Center, 6-10 Senshu-Kubota-Machi, Akita 010-0874, Japan
| | - Sota Kajiwara
- Department of Rehabilitation, Akita Cerebrospinal and Cardiovascular Center, 6-10 Senshu-Kubota-Machi, Akita 010-0874, Japan
| | - Takuto Oikawa
- Department of Rehabilitation, Akita Cerebrospinal and Cardiovascular Center, 6-10 Senshu-Kubota-Machi, Akita 010-0874, Japan
- Department of Physical Therapy, Akita University Graduate School of Health Science, 1-1-1 Hondo, Akita 010-8543, Japan
| | - Manabu Horikawa
- Department of Rehabilitation, Akita Cerebrospinal and Cardiovascular Center, 6-10 Senshu-Kubota-Machi, Akita 010-0874, Japan
| | - Mika Fujimoto
- Department of Nutrition, Akita Cerebrospinal and Cardiovascular Center, 6-10 Senshu-Kubota-Machi, Akita 010-0874, Japan;
| | - Masahiro Sasaki
- Department of Rehabilitation Medicine, Akita Cerebrospinal and Cardiovascular Center, 6-10 Senshu-Kubota-Machi, Akita 010-0874, Japan
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Sun R, Zhou Z, Li X, Xu Q, Zhou B, Yu H, Zhang W, Sun Q, Zhang X, Luo X, Li S, Luo A. Prognostic significance of preoperative nutritional status for postoperative acute kidney injury in older patients undergoing major abdominal surgery: a retrospective cohort study. Int J Surg 2024; 110:873-883. [PMID: 37921644 PMCID: PMC10871641 DOI: 10.1097/js9.0000000000000861] [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: 07/04/2023] [Accepted: 10/22/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND The association between malnutrition and postoperative acute kidney injury (AKI) has not been well studied. In this study, the authors examined the association between preoperative nutritional status and postoperative AKI in older patients who underwent major abdominal surgery, as well as the predictive value of malnutrition for AKI. MATERIALS AND METHODS The authors retrospectively included patients aged 65 or older who underwent major elective abdominal surgery. The nutritional status of the patient was evaluated using three objective nutritional indices, such as the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT). AKI was determined using the KDIGO criteria. The authors performed logistic regression analysis to investigate the association between preoperative nutritional status and postoperative AKI, as well as the predictive value of nutritional scores for postoperative AKI. RESULTS A total of 2775 patients were included in the study, of which 707 (25.5%), 291 (10.5%), and 517 (18.6%) had moderate to severe malnutrition according to GNRI, PNI, and CONUT calculations. After surgery, 144 (5.2%) patients developed AKI, 86.1% at stage 1, 11.1% at stage 2, and 2.8% at stage 3 as determined by KDIGO criteria. After adjustment for traditional risk factors, worse nutritional scores were associated with a higher AKI risk. In addition to traditional risk factors, these nutritional indices improved the predictive ability of AKI prediction models, as demonstrated by significant improvements in integrated discrimination and net reclassification. CONCLUSIONS Poor preoperative nutritional status, as assessed by GNRI, PNI, and CONUT scores, was associated with an increased risk of postoperative AKI. Incorporating these scores into AKI prediction models improved their performance. These findings emphasize the need for screening surgical patients for malnutrition risk. Further research is needed to determine whether preoperative malnutrition assessment and intervention can reduce postoperative AKI incidence.
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Affiliation(s)
- Rao Sun
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Zhiqiang Zhou
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Xinhua Li
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Qiaoqiao Xu
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Biyun Zhou
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Honghui Yu
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Wanjun Zhang
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Qi Sun
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Xiang Zhang
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Xiaoxiao Luo
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Shiyong Li
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
| | - Ailin Luo
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital
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Cong WJ, Liu ZP, Liang YX, Ye SL, Cai ZM, Chen HM, Liao CW, Lin QL, Feng RQ, Zhou XD, Wu YZ, Sun LQ, Huang XR, Zhang MM, Huang GQ, Zhu BL. Predictive Value of Nutritional Risk for All-Cause Death and Functional Outcomes in Chinese Elderly Patients with Acute Stroke: A 3-Year Follow-Up Study. Clin Interv Aging 2024; 19:109-118. [PMID: 38250175 PMCID: PMC10800106 DOI: 10.2147/cia.s447038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
Purpose To explore the predictive value of nutritional risk for all-cause death and functional outcomes among elderly acute stroke patients. Patients and Methods A total of 479 elderly acute stroke patients were enrolled in this study. The nutritional risk of patients was screened by the GNRI and NRS-2002. The primary outcome was all-cause death, and the secondary outcome was poor prognosis defined as a modified Rankin Scale (mRS) score ≥3. Results Based on the NRS-2002, patients with nutritional risk had a higher risk of all-cause death at 3 months (adjusted OR: 3.642, 95% CI 1.046~12.689) and at 3 years (adjusted OR: 2.266, 95% CI 1.259~4.076) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.748, 95% CI 1.518~4.972. Based on the GNRI, compared to those without nutritional risk, patients with mild malnutrition also had a higher risk of all-cause death at 3 months (adjusted OR: 7.186, 95% CI 1.550~33.315) and at 3 years (adjusted OR: 2.255, 95% CI 1.211~4.199) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 1.947, 95% CI 1.030~3.680), so patients with moderate and severe malnutrition had a higher risk of all-cause death at 3 months (adjusted OR: 6.535, 95% CI 1.380~30.945) and at 3 years (adjusted OR: 2.498, 95% CI 1.301~4.799) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.213, 95% CI 1.144~4.279). Conclusion Nutritional risk increases the risk of poor short-term and long-term outcomes in elderly patients with acute stroke. For elderly stroke patients, we should pay attention to early nutritional risk screening, and effective intervention should be provided to improve the prognosis of such patients.
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Affiliation(s)
- Wen-Jie Cong
- Department of Acupuncture and Physiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Zhi-Peng Liu
- The First Clinical School, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Yi-Xin Liang
- The First Clinical School, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Sheng-Lie Ye
- The First Clinical School, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Zhong-Ming Cai
- The First Clinical School, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Hao-Man Chen
- The First Clinical School, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Cheng-Wei Liao
- The First Clinical School, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Qun-Li Lin
- Department of Neurology, Yongjia People's Hospital, Wenzhou, Zhejiang, People's Republic of China
| | - Ren-Qian Feng
- The First Clinical School, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Xu-Dong Zhou
- Department of Neurology, Pingyang People's Hospital, Wenzhou, Zhejiang, People's Republic of China
| | - Yan-Zhi Wu
- The First Clinical School, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Le-Qiu Sun
- Department of Neurology, Affiliated Yueqing Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Xue-Rong Huang
- Department of Neurology, Ruian People's Hospital, Wenzhou, Zhejiang, People's Republic of China
| | - Man-Man Zhang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang People's Republic of China
| | - Gui-Qian Huang
- School of Mental Health, Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Bei-Lei Zhu
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University Wenzhou Zhejiang People's Republic of China
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Tsalamandris G, Hadjivassiliou M, Zis P. The Role of Nutrition in Neurological Disorders. Nutrients 2023; 15:4713. [PMID: 38004108 PMCID: PMC10674646 DOI: 10.3390/nu15224713] [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: 10/24/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023] Open
Abstract
The interplay between nutrition and neurology has gained increasing recognition and various studies have emerged showing malnutrition and nutritional imbalances as a cause and result of certain neurological pathologies [...].
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Affiliation(s)
| | - Marios Hadjivassiliou
- Academic Department of Neurosciences, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK;
| | - Panagiotis Zis
- Medical School, University of Cyprus, Nicosia 2029, Cyprus;
- Medical School, University of Sheffield, Sheffield S10 2RX, UK
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The Assessment of the Risk of Malnutrition (Undernutrition) in Stroke Patients. Nutrients 2023; 15:nu15030683. [PMID: 36771390 PMCID: PMC9921740 DOI: 10.3390/nu15030683] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/25/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
Malnutrition is common in stroke patients, as it is associated with neurological and cognitive impairment as well as clinical outcomes. Nutritional screening is a process with which to categorize the risk of malnutrition (i.e., nutritional risk) based on validated tools/procedures, which need to be rapid, simple, cost-effective, and reliable in the clinical setting. This review focuses on the tools/procedures used in stroke patients to assess nutritional risk, with a particular focus on their relationships with patients' clinical characteristics and outcomes. Different screening tools/procedures have been used in stroke patients, which have shown varying prevalence in terms of nutritional risk (higher in rehabilitation units) and significant relationships with clinical outcomes in the short- and long term, such as infection, disability, and mortality. Indeed, there have been few attempts to compare the usefulness and reliability of the different tools/procedures. More evidence is needed to identify appropriate approaches to assessing nutritional risk among stroke patients in the acute and sub-acute phase of disease or during rehabilitation; to evaluate the impact of nutritional treatment on the risk of malnutrition during hospital stay or rehabilitation unit; and to include nutritional screening in well-defined nutritional care protocols.
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Peng JC, Zhu YW, Xing SP, Li W, Gao Y, Gong WW. Association of geriatric nutritional risk index with all-cause hospital mortality among elderly patients in intensive care unit. Front Nutr 2023; 10:1117054. [PMID: 37032766 PMCID: PMC10076778 DOI: 10.3389/fnut.2023.1117054] [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: 12/06/2022] [Accepted: 03/10/2023] [Indexed: 04/11/2023] Open
Abstract
Background Malnutrition is associated with poor outcomes for geriatric patients in intensive care unit (ICU). It is important to identify patients at risk of malnutrition and provide individual nutrition support. The assessment of malnutrition risk is not easy for these patients due to their cognitive impairment. Geriatric nutrition risk index (GNRI) is a simple and objective scoring tool to evaluate the risk of malnutrition in elderly patients. In this study, we aimed to see whether GNRI score was appropriate to predict clinical outcomes among geriatric patients in the setting of ICU. Materials and methods Elderly patients with age ≥ 65 years were extracted from Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Categories based on GNRI were classified as major risk (GNRI <82), moderate risk (GNRI 82 to <92), low risk (GNRI 92 to ≤98), and no risk (GNRI >98). The primary outcome was all-cause hospital mortality. Multivariable Cox proportional hazards regression models and restricted cubic spline were used to investigate associations of GNRI with hospital mortality, respectively. A two-piecewise linear regression model was applied to examine the inflection point of GNRI on hospital mortality. To reduce selection bias, propensity score matching (PSM) was used in a 1:1 ratio. Results A total of 3,696 geriatric patients were finally included with median age 75 (69, 81) years. The prevalence of major risk was 28.6%. In the fully adjusted model, GNRI categories featured a negative trend with hospital mortality (p for trend = 0.037). Restricted cubic spline analysis demonstrated an L-shaped relationship between GNRI and hospital mortality before and after matching. The inflection point was 78.7. At the left side of inflection point, GNRI levels were significantly negatively associated with hospital mortality (HR = 0.96, 95% CI: 0.94-0.98; p < 0.001) and featured no significant relations at the right side. Multiple linear regression also showed that GNRI was negatively associated with length of stay in hospital. Conclusion The major risk of malnutrition defined by GNRI was able to predict poor prognosis for geriatric patients admitted to ICU.
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Affiliation(s)
- Jiang-Chen Peng
- Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yi-Wei Zhu
- Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shun-Peng Xing
- Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Li
- Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuan Gao
- Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wen-Wen Gong
- Department of Critical Care, Shanghai Baoshan Luodian Hospital, Shanghai, China
- *Correspondence: Wen-Wen Gong,
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