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Hou TY, Lin YH, Liu YW, Liu YY, Li WF, Kuo MC, Huang SW, Yeh CH, Lin YC, Yin SM. The impact of preoperative nutritional status on postoperative outcomes: an insight from Geriatric Nutritional Risk Index in elderly pancreaticoduodenectomy patients. BMC Surg 2024; 24:100. [PMID: 38580988 PMCID: PMC10996270 DOI: 10.1186/s12893-024-02397-0] [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: 12/28/2023] [Accepted: 03/26/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Malnutrition is not uncommon among the elderly undergoing pancreatoduodenectomy (PD) and is related to increased complications. Previous studies have shown that the Geriatric Nutritional Risk Index (GNRI) predicts outcomes in various populations. Nevertheless, the research exploring the correlation between GNRI and postoperative outcomes in PD is scarce. This study aimed to investigate the preoperative malnutrition, as measured by GNRI, on outcomes in elderly patients undergoing PD. MATERIALS AND METHODS This retrospective analysis enrolled 144 elderly patients underwent PD for periampullary tumors from November 2016 to December 2021. Patients were stratified based on the GNRI value: high/moderate nutrition risk (GNRI ≤ 92, N = 54), low nutrition risk (92 < GNRI ≤ 98, N = 35), and no nutrition risk (GNRI > 98, N = 55). Perioperative outcomes and postoperative surgical complications were compared between these groups. Univariate and multivariate analyses were performed on major postoperative complications and prolonged postoperative length of stay (PLOS). RESULTS Patients in the high/moderate risk group were significantly older, with lower BMI (P = 0.012), higher mortality rate (11.1%, P = 0.024), longer PLOS (P < 0.001), and higher incidence of over grade IIIB complications (37.0%, P = 0.001), Univariate and multivariate analyses showed the high/moderate risk GNRI group (OR 3.61, P = 0.032), increased age (OR 1.11, P = 0.014) and operative time over 8 h (OR 3.04, P = 0.027) were significantly associated with increased major postoperative complications. The high/moderate risk GNRI group was also a significant predictor for prolonged PLOS (OR 3.91, P = 0.002). CONCLUSIONS Preoperative GNRI has the potential to be a predictive tool for identifying high-risk elderly patients and monitoring nutritional status preoperatively to improve postoperative surgical outcomes following PD.
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Affiliation(s)
- Teng-Yuan Hou
- Division of General Surgery, Department of Surgery, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, 123 Ta-Pei Road, Niao-Song, Kaohsiung, 833, Taiwan
| | - Yu-Hung Lin
- Division of General Surgery, Department of Surgery, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, 123 Ta-Pei Road, Niao-Song, Kaohsiung, 833, Taiwan
| | - Yueh-Wei Liu
- Division of General Surgery, Department of Surgery, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, 123 Ta-Pei Road, Niao-Song, Kaohsiung, 833, Taiwan
| | - Yu-Yin Liu
- Division of General Surgery, Department of Surgery, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, 123 Ta-Pei Road, Niao-Song, Kaohsiung, 833, Taiwan
| | - Wei-Feng Li
- Division of General Surgery, Department of Surgery, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, 123 Ta-Pei Road, Niao-Song, Kaohsiung, 833, Taiwan
| | - Ming-Chun Kuo
- Division of Hematology Oncology, Department of Internal Medicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, Kaohsiung, Taiwan
| | - Szu-Wei Huang
- Department of Obstetrics and Gynecology, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, Kaohsiung, Taiwan
| | - Cheng-Hsi Yeh
- Division of General Surgery, Department of Surgery, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, 123 Ta-Pei Road, Niao-Song, Kaohsiung, 833, Taiwan
| | - Yu-Cheng Lin
- Division of General Surgery, Department of Surgery, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, 123 Ta-Pei Road, Niao-Song, Kaohsiung, 833, Taiwan
| | - Shih-Min Yin
- Division of General Surgery, Department of Surgery, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, 123 Ta-Pei Road, Niao-Song, Kaohsiung, 833, Taiwan.
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Rau CS, Tsai CH, Chou SE, Su WT, Hsu SY, Hsieh CH. The Addition of the Geriatric Nutritional Risk Index to the Prognostic Scoring Systems Did Not Improve Mortality Prediction in Trauma Patients in the Intensive Care Unit. Emerg Med Int 2023; 2023:3768646. [PMID: 37293272 PMCID: PMC10247323 DOI: 10.1155/2023/3768646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/20/2023] [Accepted: 05/23/2023] [Indexed: 06/10/2023] Open
Abstract
Background Malnutrition is prevalent among critically ill patients and has been associated with a poor prognosis. This study sought to determine whether the addition of a nutritional indicator to the various variables of prognostic scoring models can improve the prediction of mortality among trauma patients in the intensive care unit (ICU). Methods This study's cohort included 1,126 trauma patients hospitalized in the ICU between January 1, 2018, and December 31, 2021. Two nutritional indicators, the prognostic nutrition index (PNI), a calculation based on the serum albumin concentration and peripheral blood lymphocyte count, and the geriatric nutritional risk index (GNRI), a calculation based on the serum albumin concentration and the ratio of current body weight to ideal body weight, were examined for their association with the mortality outcome. The significant nutritional indicator was served as an additional variable in prognostic scoring models of the Trauma and Injury Severity Score (TRISS), the Acute Physiology and Chronic Health Evaluation (APACHE II), and the mortality prediction models (MPM II) at admission, 24, 48, and 72 h in the mortality outcome prediction. The predictive performance was determined by the area under the receiver operating characteristic curve. Results Multivariate logistic regression revealed that GNRI (OR, 0.97; 95% CI, 0.96-0.99; p=0.007), but not PNI (OR, 0.99; 95% CI, 0.97-1.02; p=0.518), was independent risk factor for mortality. However, none of these predictive scoring models showed a significant improvement in prediction when the GNRI variable is incorporated. Conclusions The addition of GNRI as a variable to the prognostic scoring models did not significantly enhance the performance of the predictors.
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Affiliation(s)
- Cheng-Shyuan Rau
- Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Ching-Hua Tsai
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Sheng-En Chou
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Wei-Ti Su
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Shiun-Yuan Hsu
- Department of Trauma Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Ching-Hua Hsieh
- Department of Plastic Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
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Jang JH, Kim T, Yeo HJ, Cho WH, Min KH, Oh JY, Hong SB, Baek AR, Lee HK, Kim C, Chang Y, Park HK, Lee HB, Bae S, Moon JY, Yoo KH, Gil HI, Shin B, Jeon K, Cho WH, Min KH, Oh JY, Hong SB, Baek AR, Lee HK, Kim C, Chang Y, Park HK, Lee HB, Bae S, Moon JY, Yoo KH, Gil HI, Shin B, Jeon K. Impact of nutrition and physical activity on outcomes of hospital-acquired pneumonia. Sci Rep 2022; 12:15605. [PMID: 36114344 PMCID: PMC9481870 DOI: 10.1038/s41598-022-19793-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 09/05/2022] [Indexed: 11/09/2022] Open
Abstract
Frailty is an important risk factor for adverse health-related outcomes. It is classified into several phenotypes according to nutritional state and physical activity. In this context, we investigated whether frailty phenotypes were related to clinical outcome of hospital-acquired pneumonia (HAP). During the study period, a total of 526 patients were screened for HAP and 480 of whom were analyzed. The patients were divided into four groups according to physical inactivity and malnutrition: nutritional frailty (Geriatric Nutritional Risk Index [GNRI] < 82 and Clinical Frailty Scale [CFS] ≥ 4), malnutrition (GNRI < 82 and CFS < 4), physical frailty (GNRI ≥ 82 and CFS ≥ 4), and normal (GNRI ≥ 82 and CFS < 4). Among the phenotypes, physical frailty without malnutrition was the most common (39.4%), followed by nutritional frailty (30.2%), normal (20.6%), and malnutrition (9.8%). There was a significant difference in hospital survival and home discharge among the four phenotypes (p = 0.009), and the nutritional frailty group had the poorest in-hospital survival and home discharge (64.8% and 34.6%, respectively). In conclusion, there were differences in clinical outcomes according to the four phenotypes of HAP. Assessment of frailty phenotypes during hospitalization may improve outcomes through adequate nutrition and rehabilitation treatment of patients with HAP.
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Kregel HR, Murphy PB, Attia M, Meyer DE, Morris RS, Onyema EC, Adams SD, Wade CE, Harvin JA, Kao LS, Puzio TJ. The Geriatric Nutritional Risk Index as a predictor of complications in geriatric trauma patients. J Trauma Acute Care Surg 2022; 93:195-199. [PMID: 35293374 PMCID: PMC9329178 DOI: 10.1097/ta.0000000000003588] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Malnutrition is associated with increased morbidity and mortality after trauma. The Geriatric Nutritional Risk Index (GNRI) is a validated scoring system used to predict the risk of complications related to malnutrition in nontrauma patients. We hypothesized that GNRI is predictive of worse outcomes in geriatric trauma patients. METHODS This was a single-center retrospective study of trauma patients 65 years or older admitted in 2019. Geriatric Nutritional Risk Index was calculated based on admission albumin level and ratio of actual body weight to ideal body weight. Groups were defined as major risk (GNRI <82), moderate risk (GNRI 82-91), low risk (GNRI 92-98), and no risk (GNRI >98). The primary outcome was mortality. Secondary outcomes included ventilator days, intensive care unit length of stay (LOS), hospital LOS, discharge home, sepsis, pneumonia, and acute respiratory distress syndrome. Bivariate and multivariable logistic regression analyses were performed to determine the association between GNRI risk category and outcomes. RESULTS A total of 513 patients were identified for analysis. Median age was 78 years (71-86 years); 24 patients (4.7%) were identified as major risk, 66 (12.9%) as moderate risk, 72 (14%) as low risk, and 351 (68.4%) as no risk. Injury Severity Scores and Charlson Comorbidity Indexes were similar between all groups. Patients in the no risk group had decreased rates of death, and after adjusting for Injury Severity Score, age, and Charlson Comorbidity Index, the no risk group had decreased odds of death (odds ratio, 0.13; 95% confidence interval, 0.04-0.41) compared with the major risk group. The no risk group also had fewer infectious complications including sepsis and pneumonia, and shorter hospital LOS and were more likely to be discharged home. CONCLUSIONS Major GNRI risk is associated with increased mortality and infectious complications in geriatric trauma patients. Further studies should target interventional strategies for those at highest risk based on GNRI. LEVEL OF EVIDENCE Prognostic and Epidemiologic; Level III.
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Affiliation(s)
- Heather R. Kregel
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
- Center for Surgical Trials and Evidence-based Practice, McGovern Medical School at UTHealth, Houston, TX
- Center for Translational Injury Research, Houston, TX
| | | | - Mina Attia
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
- Center for Surgical Trials and Evidence-based Practice, McGovern Medical School at UTHealth, Houston, TX
| | - David E. Meyer
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
- Center for Surgical Trials and Evidence-based Practice, McGovern Medical School at UTHealth, Houston, TX
- Center for Translational Injury Research, Houston, TX
| | - Rachel S. Morris
- Department of Surgery, Medical College of Wisconsin, Milwaukee, WI
| | - Ezenwa C. Onyema
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
| | - Sasha D. Adams
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
- Center for Surgical Trials and Evidence-based Practice, McGovern Medical School at UTHealth, Houston, TX
- Center for Translational Injury Research, Houston, TX
| | - Charles E. Wade
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
- Center for Translational Injury Research, Houston, TX
| | - John A. Harvin
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
- Center for Surgical Trials and Evidence-based Practice, McGovern Medical School at UTHealth, Houston, TX
- Center for Translational Injury Research, Houston, TX
| | - Lillian S. Kao
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
- Center for Surgical Trials and Evidence-based Practice, McGovern Medical School at UTHealth, Houston, TX
- Center for Translational Injury Research, Houston, TX
| | - Thaddeus J. Puzio
- Division of Acute Care Surgery, Department of Surgery, McGovern Medical School at UTHealth, Houston, TX
- Center for Surgical Trials and Evidence-based Practice, McGovern Medical School at UTHealth, Houston, TX
- Center for Translational Injury Research, Houston, TX
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