Association between Geriatric Nutritional Risk Index and Mortality in Older Trauma Patients in the Intensive Care Unit

Identifying factors predicting outcomes after major trauma in older patients: Prognostic systematic review and meta-analysis

INTRODUCTION

Trauma is the most common cause of morbidity and mortality in older people, and it is important to determine the predictors of outcomes after major trauma in older people.

METHODS

MEDLINE, Embase, and Web of Science were searched, and manual search of relevant papers since 1987 to February 2023 was performed. Random-effects meta-analyses were performed. The primary outcome of interest was mortality, and secondary outcomes were medical complications, length of stay, discharge destination, readmission, and intensive care requirement.

RESULTS

Among 6,064 studies in the search strategy, 136 studies qualified the inclusion criteria. Forty-three factors, ranging from demographics to patient factors, admission measurements, and injury factors, were identified as potential predictors. Mortality was the commonest outcome investigated, and increasing age was associated with increased risk of in-hospital mortality (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.03-1.07) along with male sex (OR, 1.40; 95% CI, 1.24-1.59). Comorbidities of heart disease (OR, 2.59; 95% CI, 1.41-4.77), renal disease (OR, 2.52; 95% CI, 1.79-3.56), respiratory disease (OR, 1.40; 95% CI, 1.09-1.81), diabetes (OR, 1.35; 95% CI, 1.03-1.77), and neurological disease (OR, 1.42; 95% CI, 0.93-2.18) were also associated with increased in-hospital mortality risk. Each point increase in the Glasgow Coma Scale lowered the risk of in-hospital mortality (OR, 0.85; 95% CI, 0.76-0.95), while each point increase in Injury Severity Score increased the risk of in-hospital mortality (OR, 1.07; 95% CI, 1.04-1.09). There were limited studies and substantial variability in secondary outcome predictors; however, medical comorbidities, frailty, and premorbid living condition appeared predictive for those outcomes.

CONCLUSION

This review was able to identify potential predictors for older trauma patients. The identification of these factors allows for future development of risk stratification tools for clinicians.

LEVEL OF EVIDENCE

Systematic Review and Meta-Analysis; Level III.

Geriatric Nutritional Risk Index as a Possible Predictor of Decline in Kidney Function in Older People

BACKGROUND

The Geriatric Nutritional Risk Index (GNRI) is associated with morbidity and mortality in older individuals. Our study explored the relationship between GNRI, decline in kidney function, and all-cause mortality in older individuals.

METHODS

This retrospective cohort study analyzed data from participants aged ≥60 years who underwent a general health checkup between 2002 and 2018. The primary exposure was the GNRI, divided into quartiles. The primary and secondary outcomes were a decline in kidney function assessed using the 5-year estimated glomerular filtration rate (eGFR) and all-cause mortality, respectively.

RESULTS

The analysis included a total of 1,599 participants (median age, 63 years; interquartile range [IQR], 61-67; 54% males). The mean±standard deviation of GNRI was 114±7. Compared with the highest GNRI quartile, the lower GNRI quartiles were associated with steeper 5-year slopes in eGFR, with a fully adjusted beta coefficient and 95% confidence intervals (CIs) of -0.50 (-0.86, -0.14), -0.29 (-0.63, 0.05), and -0.19 (-0.53, 0.14) for the first, second, and third GNRI quartiles, respectively. The median follow-up duration was 7.4 years (IQR, 4.6-12.4). During this period, we identified 108 deaths (7.8 per 1,000 person-years). The first GNRI quartile was associated with all-cause mortality compared to the highest GNRI quartile (hazard ratio of 2.20; 95% CI 1.23, 3.95).

CONCLUSION

Nutritional status, as evaluated using the GNRI, was associated with 5-year changes in kidney function and all-cause mortality in older individuals.

Association between the serum zinc level and nutritional status represented by the geriatric nutritional Rrisk index

BACKGROUND

Although it is widely known that patients with chronic kidney disease (CKD) can develop zinc deficiency, in our previous analysis, the estimated glomerular filtration rate (eGFR) was not independently associated with the serum zinc level. Thus, a post hoc analysis was conducted to investigate the involvement of nutritional status.

METHODS

A total of 655 subjects not on dialysis (402 males; mean age, 57 ± 18 years) who underwent serum zinc level measurements at Jikei University Hospital between April 2018 and March 2019 were selected using the Standardized Structured Medical Information eXchange2 (SS-MIX2) system. In addition, anthropometric data and the Geriatric Nutritional Risk Index (GNRI) representing nutritional status were obtained, and the relationship between the serum zinc level and nutritional status was investigated by multiple regression analysis.

RESULTS

The serum albumin level and the GNRI were lower in the zinc-deficiency group, and both were positively associated with the serum zinc level (rho = 0.44, P < 0.01 and rho = 0.44, P < 0.01, respectively). On multiple regression analysis, the GNRI (t = 3.09, P < 0.01) and serum albumin level (t = 4.75, P < 0.01) were independently associated with the serum zinc level. Although a higher eGFR was associated with a higher serum zinc level, this association disappeared on multivariate analysis.

CONCLUSION

In this post hoc analysis, the GNRI, as well as the serum albumin level, were correlated with the serum zinc level, indicating that nutritional status is an important determinant of the zinc level. Further investigations are needed to clarify the effects of nutritional status and kidney function on zinc deficiency.

Prognostic significance of preoperative nutritional status for postoperative acute kidney injury in older patients undergoing major abdominal surgery: a retrospective cohort study

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.

Association between geriatric nutritional risk index and 28 days mortality in elderly patients with sepsis: a retrospective cohort study

Background

There is a significant controversy surrounding the impact of the geriatric nutritional risk index (GNRI) on mortality among elderly septic patients. This retrospective cohort study aimed to investigate the association between GNRI at admission and 28 days mortality in elderly septic patients.

Methods

We retrospectively analyzed data collected from the MIMIC IV database between 2009 and 2019, which included 2,834 septic patients aged 65 years and above. The exposure variable was the GNRI, determined according to albumin levels, height, and weight. The primary outcome was 28 days mortality. We employed multivariable Cox regression analyses and Kaplan-Meier survival curves to examine the association between GNRI and 28 days mortality. We used restricted cubic splines to determine if there was a non-linear relationship between 28 days mortality and GNRI in elderly patients with sepsis and to examine the presence of a threshold saturation effect. In addition, interaction tests were conducted to identify subgroups that exhibited significant differences.

Results

A total of 2,834 elderly patients with sepsis participated in the study. Following adjustment, multivariable Cox regression analyses demonstrated that the GNRI was related to 28 days mortality (HR = 0.97, p < 0.001, 95% CI: 0.97-0.98). An L-shaped connection between GNRI and 28 days mortality was discovered via restricted cubic spline analysis, with an inflection point of 98.1. On the left side of the inflection point, GNRI levels were significantly negatively linked with 28 days mortality (HR = 0.967, 95% CI: 0.959-0.974; p < 0.001), and on the right side, there was no significant correlation (HR = 1.043, 95% CI: 0.984-1.106; p = 0.1549).

Conclusion

In this analysis of data from a large cohort of elderly septic patients, GNRI scores on admission were correlated with a 28 days risk of death from sepsis in the elderly suggesting that GNRI scores could serve as a valuable indicator for evaluating mortality rates among elderly septic patients in the intensive care unit (ICU).

Geriatric Nutritional Risk Index and Risk of Mortality in Critically Ill Patients With Acute Kidney Injury: A Multicenter Cohort Study

OBJECTIVES

Malnutrition is associated with adverse outcomes in acute or chronic diseases. However, the prediction value of the Geriatric Nutritional Risk Index (GNRI) in critically ill patients with acute kidney injury (AKI) has not been well studied.

METHODS

Data was extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) and the electronic intensive care unit database. We used two nutritional indicators, the GNRI and the modified Nutrition Risk in Critically ill (NUTRIC) score, to evaluate the relationship between the nutritional status of patients with AKI and prognosis. The outcome is in-hospital mortality and 90-day mortality. The prediction accuracy of GNRI was compared with the NUTRIC score.

RESULTS

A total of 4,575 participants with AKI were enrolled in this study. The median age of 68 (interquartile range, 56-79) years, and 1,142 (25.0%) patients experienced in-hospital mortality, and 1,238 (27.1%) patients experienced 90-day mortality. Kaplan-Meier survival analysis indicated that lower GNRI levels and high NUTRIC score are associated with lower in-hospital and 90-day survival of patients with AKI (P < .001 by log-rank test). After multivariate adjustment, Cox regression analysis demonstrated a 2-fold increased risk of in-hospital (hazard ratio = 2.019, 95% confidence interval: 1.699-2.400, P < .001) and 90-day (hazard ratio = 2.023, 95% confidence interval: 1.715-2.387, P < .001) mortality in the low GNRI group. Moreover, the multivariate-adjusted Cox model containing GNRI had higher prediction accuracy for the prognosis of patients with AKI than that with NUTRIC score (AUCGNRI model vs. AUCNUTRIC model for in-hospital mortality = 0.738 vs. 0.726, AUCGNRI model vs. AUCNUTRIC model for 90-day mortality = 0.748 vs. 0.726). In addition, the prediction value of GNRI was validated by the electronic intensive care unit database (7,881 patients with AKI) with satisfying performance (AUCGNRI model = 0.680).

CONCLUSIONS

Our results demonstrated that GNRI is strongly associated with survival in patients in the intensive care unit coexisting with AKI, and the GNRI has a superior predictive value than the NUTRIC score.

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

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.

The relationship between the baseline geriatric nutritional risk index (GNRI) and neurological function at the convalescence stage in patients with stroke: a cross-sectional study

BACKGROUND

Malnutrition is a common complication after stroke and may worsen neurological outcomes for patients. There are still no uniform tools for screening nutritional status for the patients with stroke. We aimed to explore the relationship between the baseline geriatric nutritional risk index (GNRI) and neurological function at the convalescence stage for patients with stroke and assessed the predictive value of the GNRI for adverse neurological outcomes.

METHODS

A total of 311 patients with stroke were enrolled retrospectively. Basic information and laboratory results on admission since onset of stroke were collected. The GNRI on admission was calculated and neurological outcomes evaluated by the Barthel index at 1 month after the onset of stroke. Statistical analyses, including correlation coefficient tests, multivariate regression analyses, and receiver operating characteristic (ROC) analyses, were applied in this study.

RESULTS

Compared with the good outcome group, the poor outcome group showed a significantly lower GNRI on admission (P < 0.05). GNRI was associated with Barthel index (r = 0.702, P < 0.01). The GNRI was independently correlated with the Barthel index (Standardization β = 0.721, P < 0.01) and poor outcome 0.885 (95% CIs, 0.855-0.917, P < 0.01) after adjusting for covariates. Compared with no nutritional risk grades (Q4), the OR of GNRI to poor neurological outcome increased across increasing nutritional risk grades of GNRI (OR = 2.803, 95% CIs = 1.330-5.909 in Q3, 7.992, 95% CIs = 3.294-19.387 in Q2 and 14.011, 95% CIs = 3.972-49.426 in Q1, respectively, P for trend < 0.001). The area under ROC curves (AUC) of the GNRI was 0.804, which was larger than that of the NIHSS, BMI, or Albumin (P < 0.01), with an optimal cut-off value of 97.69, sensitivity of 69.51% and specificity of 77.27%. Combined GNRI with NIHSS gained the largest AUC among all the variables (all P < 0.05), with an AUC of 0.855, sensitivity of 84.75 and specificity of 72.73%.

CONCLUSIONS

For patients with stroke, higher nutritional risk grades at baseline indicated worse neurological function at the convalescence stage. Compared with NIHSS, BMI, and Albumin, GNRI was a competitive indicator for the risk of poor neurological outcome. The predictive property of GNRI for adverse neurological outcomes might be more powerful when combined with NIHSS.

Comparison of anemia, renal function, and nutritional status in older women with femoral neck fracture and older women with osteoarthritis of the hip joint

BACKGROUND

Several studies in older patients with femoral neck fracture found that preoperative anemia and malnutrition were associated with higher mortality and poorer physical function. Therefore, we compared nutritional status, Hb level, and renal function in women with femoral neck fracture and women of the same age with osteoarthritis of the hip joint.

METHODS

We enrolled 257 women aged 70 years and older who suffered femoral neck fracture (F group) or who were scheduled to undergo total hip arthroplasty for osteoarthritis of the hip joint (OA group). The F and OA groups were further divided into 2 groups on the basis of age, ie, 74 years old and younger (F70 and OA70) and 75 years old and older (F75 and OA75). To assess whether patients had undernutrition, mortality risk, anemia, and renal dysfunction, we assessed Geriatric Nutritional Risk Index (GNRI), Hb, and eGFR.

RESULTS

We found a significant difference in the mean Hb levels and GNRI scores between the F75 and OA75 and F70 and OA70. Moreover, we found a moderate correlation between Hb level and GNRI score in the F75 and OA75. With respect to the GNRI category, the percentage of patients at moderate or major risk was 42.1% in the F70 group and 57.6% in the F75 group but only 1.9% in the OA70 group and 4.3% in the OA75 group.

CONCLUSION

We found that women with femoral neck fracture had significantly lower Hb levels and lower GNRI scores than women with hip OA in the same age and that anemia and undernutrition were closely linked in women aged 75 and above. Moreover, we found that more than 40% of patients with a femoral neck fracture had a moderate to major risk on the basis of their GNRI scores.

Elderly Patients and Management in Intensive Care Units (ICU): Clinical Challenges

There is a growing population of older adults requiring admission to the intensive care unit (ICU). This population outpaces the ability of clinicians with geriatric training to assist in their management. Specific training and education for intensivists in the care of older patients is valuable to help understand and inform clinical care, as physiologic changes of aging affect each organ system. This review highlights some of these aging processes and discusses clinical implications in the vulnerable older population. Other considerations when caring for these older patients in the ICU include functional outcomes and morbidity, as opposed to merely a focus on mortality. An overall holistic approach incorporating physiology of aging, applying current evidence, and including the patient and their family in care should be used when caring for older adults in the ICU.

Association of geriatric nutritional risk index with all-cause hospital mortality among elderly patients in intensive care unit

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.

Thoracic sarcopenia predicts clinical outcomes in patients undergoing coronary artery bypass grafting: A 6-year cohort study

BACKGROUND

The relationship between thoracic sarcopenia and clinical outcomes in patients underwent coronary artery bypass grafting (CABG) is unclear. This study aims to evaluate whether thoracic sarcopenia has a satisfactory prognostic effect on adverse outcomes after CABG.

METHODS

From December 2015 to May 2021, 338 patients who underwent isolated CABG at our institution were recruited in this study. Skeletal muscle area at T12 level acquired by chest computed tomography (CT) was normalized to assess thoracic sarcopenia. Univariate and multivariate analyses were performed to evaluate the risk factors of postoperative complications and overall survival (OS).

RESULTS

The prevalence of thoracic sarcopenia in patients underwent CABG was 13.02%. The incidence of total major complication was significantly higher in thoracic sarcopenia group (81.8% vs 61.9%, p = 0.010). Thoracic sarcopenic patients also had longer postoperative hospital stays (p = 0.047), intensive care unit (ICU) stays (p = 0.001), higher costs (p = 0.001) and readmission rates within 30 days of discharge (18.2% vs 4.4%, p = 0.001). Patients without thoracic sarcopenia showed significantly higher OS at the 2-year follow-up period (93.9% vs 72.7%, p<0.001). Multivariate analyses demonstrated that thoracic sarcopenia was significantly and independently associated with postoperative complications and long-term OS after CABG.

CONCLUSION

Thoracic sarcopenia is an effective clinical predictor of adverse postoperative complications and long-term OS in patients underwent CABG. Thoracic sarcopenia based on chest CT should be included in preoperative risk assessment of CABG.

The association between parenteral nutrition and pancreatic injury in adult patients: a retrospective observational study

BACKGROUND AND OBJECTIVE

Patients on parenteral nutrition (PN) are at high risk of both liver and pancreatic injury. More efforts were focused on liver, however, limited data is available to evaluate the effects of PN on pancreas. Thus, we performed a retrospective observational study to evaluate the association between PN and pancreatic injury in Chinese adult patients.

METHODS

Adult patients (18-80 years), who received PN for a week or longer, and with repeated measurements of pancreatic enzymes, were included in the analysis. Pancreatic injury was confirmed by serum level of pancreatic amylase (P-AMYwas 53 U/L or higher) or lipase (LP was 63 U/L or higher), which were evaluated at baseline and following every week during PN duration. Age, sex, body weight, height, diagnosis of diseases, history of diseases, surgery, white blood cell, c-reactive protein, liver and renal function, fasting blood glucose, lipid profile, and daily energy supplied by PN and enteral nutrition were abstracted from medical records.

RESULTS

A total number of 190 adult patients (125 men, 65 women) were included in the study. The average age and BMI were 61.8 ± 13.0 years and 21.7±3.3 kg/m², while medium serum level of P-AMY and LP were 29.0 U/L (quartile range: 18.0, 47.0) and 33.0 U/L (quartile range: 19.0, 58.0), respectively at baseline. The median duration of PN was 15 days (quartile range: 11.0, 21.0). The prevalence of pancreatic injury was 42.1% (80/190) while it was 28.4% (54/190), 43.3% (77/178), 47.8% (44/92) after one-, two-, and three-week or longer PN adminstration. The proportion of daily energy supplement by PN (OR = 3.77, 95%CI: 1.87, 7.61) and history of infection were positively (OR = 3.00, 95%CI: 1.23, 7.36), while disease history for diabetes mellitus (OR = 0.38, 95%CI: 0.15, 0.98) and cancer (OR = 0.46, 95%CI: 0.23, 0.95), were negetively associated with pancreatic injury. Total bile acids were associated with the increment of P-AMY (beta = 0.98, 95%CI: 0.39, 1.56) and LP (beta = 2.55, 95%CI: 0.98, 4.12) by multi-variate linear regression.

CONCLUSION

PN was associated with pancreatic injury, as demonstrated by the increase of both serum P-AMY and LP.

Nutrition therapy in the older critically ill patients: A scoping review

Introduction: There is a lack of guidelines or formal systematic synthesis of evidence for nutrition therapy in older critically ill patients. This study is a scoping review to explore the state of evidence in this population. Method: MEDLINE and Embase were searched from inception until 9 February 2022 for studies that enrolled critically ill patients aged ≥60 years and investigated any area of nutrition therapy. No language or study design restrictions were applied. Results: Thirty-two studies (5 randomised controlled trials) with 6 topics were identified: (1) nutrition screening and assessments, (2) muscle mass assessment, (3) route or timing of nutrition therapy, (4) determination of energy and protein requirements, (5) energy and protein intake, and (6) pharmaconutrition. Topics (1), (3) and (6) had similar findings among general adult intensive care unit (ICU) patients. Skeletal muscle mass at ICU admission was significantly lower in older versus young patients. Among older ICU patients, low muscularity at ICU admission increased the risk of adverse outcomes. Predicted energy requirements using weight-based equations significantly deviated from indirect calorimetry measurements in older vs younger patients. Older ICU patients required higher protein intake (>1.5g/kg/day) than younger patients to achieve nitrogen balance. However, at similar protein intake, older patients had a higher risk of azotaemia. Conclusion: Based on limited evidence, assessment of muscle mass, indirect calorimetry and careful monitoring of urea level may be important to guide nutrition therapy in older ICU patients. Other nutrition recommendations for general ICU patients may be used for older patients with sound clinical discretion. Keywords: Critical care nutrition, geriatric patients, intensive care medicine, older adults, scoping review

The association between nutritional risk and contrast-induced acute kidney injury in patients undergoing coronary angiography: a cross-sectional study

Background

Nutritional risk is prevalent in various diseases, but its association with contrast-induced acute kidney injury (CI-AKI) remains unclear. This study aimed to explore this association in patients undergoing coronary angiography (CAG).

Methods

In this retrospective cross-sectional study, 4386 patients undergoing CAG were enrolled. Nutritional risks were estimated by nutritional risk screening 2002 (NRS-2002), controlling nutritional status (CONUT), prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI), respectively. CI-AKI was determined by the elevation of serum creatinine (Scr). Multivariable logistic regression analyses and receiver operator characteristic (ROC) analyses were conducted. Subgroup analyses were performed according to age (< 70/≥70 years), gender (male/female), percutaneous coronary intervention (with/without), and estimated glomerular filtration rate (< 60/≥60 ml/min/1.73m2).

Results

Overall, 787 (17.9%) patients were diagnosed with CI-AKI. The median score of NRS-2002, CONUT, PNI, and GNRI was 1.0, 3.0, 45.8, and 98.6, respectively. Nutritional risk was proven to be associated with CI-AKI when four different nutritional tools were employed, including NRS-2002 ([3–7 vs. 0]: odds ratio [95% confidence interval], OR [95%CI] = 4.026 [2.732 to 5.932], P < 0.001), CONUT ([6–12 vs. 0–1]: OR [95%CI] = 2.230 [1.586 to 3.136], P < 0.001), PNI ([< 38 vs. ≥52]: OR [95%CI] = 2.349 [1.529 to 3.610], P < 0.001), and GNRI ([< 90 vs. ≥104]: OR [95%CI] = 1.822 [1.229 to 2.702], P = 0.003). This is consistent when subgroup analyses were performed. Furthermore, nutritional scores were proved to be accurate in predicting CI-AKI (area under ROC curve: NRS-2002, 0.625; CONUT, 0.609; PNI, 0.629; and GNRI, 0.603).

Conclusions

Nutritional risks (high scores of NRS-2002 and CONUT; low scores of PNI and GNRI) were associated with CI-AKI in patients undergoing CAG.

Comparing Outcomes between Major Trauma Patients Transferred from a Different Hospital and Patients Transported Directly to Trauma Centers: A Retrospective Analysis with Propensity Score Matching Analysis

This study aimed to explore differences in outcomes between these major trauma patients who were transferred and those directly transported to trauma centers. The medical information and outcome of 5,341 major trauma patients with an injury severity score (ISS) ≥ 16 who were hospitalized for treatment between January 1, 2009, and December 31, 2019, were collected from the Trauma Registry System of the hospital. There were 2,386 patients who were transferred (transfer group) and 2,955 patients transported directly to trauma centers first (direct group). Regarding the outcomes, there was no significant difference in the mortality rate between patients in the transfer group and the direct group (11.1% vs. 10.5%, respectively, $p=0.527$ ). However, the patients in the transfer group had a longer hospital stay (16.8 days vs. 14.3 days, respectively, $p<0.001$ ) and higher incidence of intensive care unit (ICU) admission (74.9% vs. 70.5%, respectively, $p<0.001$ ) than those patients in the direct group. Similar results were observed in the selected 2,139 pairs of propensity score-matched patient populations, who did not present with significant differences in sex, age, comorbidities, trauma mechanisms, and ISS. This study revealed no significant difference in the mortality rate between the two groups of major trauma patients. However, the transferred patients had significantly longer hospital stays and higher rates of ICU admission than patients directly transported to trauma centers.

The Geriatric Nutritional Risk Index as a predictor of complications in geriatric trauma patients

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.

Trajectories of energy intake distribution and subsequent risk of hyperglycemia among Chinese adults: findings from the China Health and Nutrition Survey (1997-2018)

AIMS

Few studies have examined the secular trend of the energy intake distribution, and its effect on future risk of hyperglycemia. This study aims to describe trajectories of energy intake distribution over 12 years and relate them to subsequent risk of hyperglycemia over 9 years of follow-up.

METHODS

Our study used ten waves of data from the CHNS survey, a population-based longitudinal survey in China, ongoing since 1989. We examined a cohort of adult participants who were free from diabetes but had at least three waves of dietary data from 1997 to 2009. We assessed energy intake using three consecutive 24 h recalls. We used these data to identify trajectory groups of energy intake distribution by multi-trajectory model based on energy intake proportions of breakfast, lunch, and dinner. We followed up participants for hyperglycemia, diabetes, and impaired fasting glucose for 9 years from 2009 to 2018. Outcomes were ascertained with fasting glucose, serum HbA1c, and self-report of diabetes and/or glucose-lowering medication. We estimated relative risk (RR) for hyperglycemia, diabetes, and impaired fasting glucose by identified trajectory groups using multilevel mixed-effects modified Poisson regression with robust (sandwich) estimation of variance. Gender difference was additionally examined.

RESULTS

A total of 4417 participants were included. Four trajectory groups were identified, characterized and labeled by "Energy evenly distributed with steady trend group" (Group 1), "Dinner and lunch energy dominant with relatively steady trend group" (Group 2), "Dinner energy dominant with increasing trend and breakfast energy with declining trend group" (Group 3), and "breakfast and dinner energy dominant with increasing trend group" (Group 4). During 48,091 person-years, 1053 cases of incident hyperglycemia occurred, 537 cases of incident diabetes occurred, and 516 cases of impaired fasting glucose occurred. Compared with Group 1, Group 3 was associated with higher subsequent risk of incident hyperglycemia in 9 years of follow-up (RR = 1.28, 95% CI = 1.02, 1.61). No association was found for incident diabetes and impaired fasting glucose. Among males, Group 3 was associated with higher risk of incident hyperglycemia in 9 years of follow-up (RR = 1.44, 95% CI = 1.07, 1.94). No relationship was found in females.

CONCLUSIONS

Energy intake distribution characterized by over 40% of energy intake from dinner with a rising trend over years was associated with higher long-term risk of hyperglycemia in Chinese adults.