Can nutritional and inflammatory indices predict 90-day mortality in fragility hip fracture patients?

Association of preoperative blood biomarkers with postoperative major adverse cardiac events and mortality in major orthopaedic surgery: a systematic review and meta-analysis

OBJECTIVE

The association between preoperative blood biomarkers and major adverse cardiac events (MACEs) as well as mortality after major orthopaedic surgery remains unclear. This study aimed to assess the association between preoperative blood biomarkers and postoperative MACEs as well as all-cause mortality in patients undergoing major orthopaedic surgery.

DESIGN

A systematic review and meta-analysis.

DATA SOURCES

PubMed, EMBASE, the Cochrane Controlled Trials Register and Cochrane Database of Systematic Reviews from inception to 20 October 2024 were searched.

ELIGIBILITY CRITERIA

Observational or experimental studies reporting the correlation between preoperative blood biomarkers and postoperative MACEs-categorised as short-term (within 3 months) or long-term (beyond 3 months)-and all-cause mortality in patients undergoing major orthopaedic surgery.

DATA EXTRACTION AND SYNTHESIS

Data from studies reporting OR or HR and its 95% CI were pooled for analysis using random-effects model.

RESULTS

21 preoperative blood-based biomarkers from 80 studies with 226 468 patients were analysed. Elevated preoperative cardiac biomarkers were correlated with a heightened risk of MACEs within 3 months (natriuretic peptide: OR 3.37, 95% CI 2.07 to 5.47, I2=87.9%; cardiac troponin: OR 4.89, 95% CI 1.52 to 15.75, I2=69.5%) with significant heterogeneity. Only natriuretic peptide was associated with a high-risk long-term MACEs (>3 months) (OR 3.52, 95% CI 1.73 to 7.17, I2=86.2%). In contrast, cardiac biomarkers were not identified as having prognostic value for all-cause mortality in this patient cohort. Additionally, an increased risk of all-cause mortality was associated with preoperative abnormal levels of albumin (OR 1.15, 95% CI 1.06 to 1.24, I2=84.8%), creatinine (OR 1.54, 95% CI 1.12 to 1.95, I2=0), 25(OH)D (OR 1.58, 95% CI 1.01 to 2.14, I2=0) and glomerular filtration rate (GFR) (OR 1.12, 95% CI 1.06 to 1.17, I2=0), rather than cardiac biomarkers.

CONCLUSIONS

The study proposed that cardiac biomarkers assessed before surgery could offer prognostic insight into short-term MACEs, while preoperative abnormal levels of albumin, creatinine, 25 (OH)D and GFR might be prognostic valuable for all-cause mortality following major orthopaedic surgery.

PROSPERO REGISTRATION NUMBER

CRD42022352091.

Systemic immune-inflammation index and 2-year all-cause mortality in elderly patients with hip fracture

PURPOSE

To assess the association between systemic immune-inflammation index (SII) and 2-year all-cause mortality in elderly patients with hip fractures.

METHODS

We performed a cohort study of hip fracture patients aged 65 years or older who received hip fracture surgery at a tertiary hospital from January 2005 to March 2022. The SII was calculated as: SII = (neutrophil count * platelet count) / lymphocyte count, based on the latest blood test before discharge. Patients were categorized into 3 groups according to SII tertiles: low SII group (≤770.92 × 109/L), medium SII group (770.92 × 109/L -1293.03 × 109/L), and high SII group (>1293.03 × 109/L). The primary outcome was 2-year all-cause mortality. We evaluated the association between SII and 2-year all-cause mortality using the multivariate Cox regression model.

RESULTS

Among 2766 patients, 296 patients died during the 2-year follow-up period. The incidence of 2-year all-cause mortality per 1000 persons was 90.0 (95 % CI: 73.2-110.2) in the low SII group, 86.8 (95 % CI: 70.3-106.7) in the medium SII group, and 144.3 (95 % CI: 123.1-168.5) in the high SII group. Compared with patients in the low SII group, the hazard ratio for 2-year all-cause mortality was 0.97 (95 % CI: 0.69-1.37) in the medium SII group and 1.47 (95 % CI: 1.07-2.01) in the high SII group (P for trend, 0.010).

CONCLUSION

SII is significantly associated with 2-year all-cause mortality in elderly patients with hip fracture. SII may be used to identify patients at high risk of mortality after hip fracture surgery.

Association between inflammation-related indicators and vertebral fracture in older adults in the United States: A cross-sectional study based on National Health and Nutrition Examination Survey 2013-2014

OBJECTIVE

This study was to examine the association between inflammation-related indexes SII (systemic immune-inflammation index), NLR (neutrophil-to-lymphocyte ratio), PPN (product of platelet count and neutrophil count), and PLR (platelet-to-lymphocyte ratio), and the occurrence of vertebral fractures in older Americans.

METHODS

Patients ⩾60 years of age from the 2013-2014 NHANES database were selected for this study. Restricted cubic spline models and weighted logistic regression models were used to assess the association between inflammation-related indexes and the occurrence of vertebral fractures in older Americans. The predictive value of the inflammation-related indexes on the occurrence of vertebral fractures was assessed using receiver operating characteristic curves (ROC). To examine the robustness of the main findings, a sensitivity analysis was conducted.

RESULTS

A total of 1281 patients were included in the analysis, of whole 120 suffered vertebral fractures. Fully adjusted logistic regression showed a significant linear relationship between NLR and the occurrence of vertebral fracture in older Americans (p < .05), but no relationship was found between SII, PLR, and the occurrence of vertebral fracture in older Americans. Meanwhile, NLR was slightly better than other indicators in predicting vertebral fracture.

CONCLUSIONS

This study found that NLR, as a novel inflammatory marker, can predict the risk of vertebral fracture in older Americans, which is of clinical significance for the prevention and treatment of vertebral fracture in older adults.

Prediction of Osteoporotic Hip Fracture Outcome: Comparative Accuracy of 27 Immune-Inflammatory-Metabolic Markers and Related Conceptual Issues

Objectives: This study, based on the concept of immuno-inflammatory-metabolic (IIM) dysregulation, investigated and compared the prognostic impact of 27 indices at admission for prediction of postoperative myocardial injury (PMI) and/or hospital death in hip fracture (HF) patients. Methods: In consecutive HF patient (n = 1273, mean age 82.9 ± 8.7 years, 73.5% females) demographics, medical history, laboratory parameters, and outcomes were recorded prospectively. Multiple logistic regression and receiver-operating characteristic analyses (the area under the curve, AUC) were used to establish the predictive role for each biomarker. Results: Among 27 IIM biomarkers, 10 indices were significantly associated with development of PMI and 16 were indicative of a fatal outcome; in the subset of patients aged >80 years with ischaemic heart disease (IHD, the highest risk group: 90.2% of all deaths), the corresponding figures were 26 and 20. In the latter group, the five strongest preoperative predictors for PMI were anaemia (AUC 0.7879), monocyte/eosinophil ratio > 13.0 (AUC 0.7814), neutrophil/lymphocyte ratio > 7.5 (AUC 0.7784), eosinophil count < 1.1 × 109/L (AUC 0.7780), and neutrophil/albumin × 10 > 2.4 (AUC 0.7732); additionally, sensitivity was 83.1-75.4% and specificity was 82.1-75.0%. The highest predictors of in-hospital death were platelet/lymphocyte ratio > 280.0 (AUC 0.8390), lymphocyte/monocyte ratio < 1.1 (AUC 0.8375), albumin < 33 g/L (AUC 0.7889), red cell distribution width > 14.5% (AUC 0.7739), and anaemia (AUC 0.7604), sensitivity 88.2% and above, and specificity 85.1-79.3%. Internal validation confirmed the predictive value of the models. Conclusions: Comparison of 27 IIM indices in HF patients identified several simple, widely available, and inexpensive parameters highly predictive for PMI and/or in-hospital death. The applicability of IIM biomarkers to diagnose and predict risks for chronic diseases, including OP/OF, in the preclinical stages is discussed.

Predictors of in-hospital mortality in older patients undergoing distal femur fracture surgery: A case-control study

INTRODUCTION

Geriatric fractures including distal femur and hip fractures are associated with high mortality rates. Currently, prognostic factors for in-hospital postoperative mortality are not identified. We aimed to evaluate overall in-hospital mortality and related potential risk factors in elderly patients who underwent distal femur fracture surgery.

MATERIALS AND METHODS

A retrospective cohort study of patients older than 60 years, who underwent distal femur fracture surgery between January 01, 2003, and December 31, 2021, was conducted. A case-control study was conducted to compare two age-matched groups of elderly patients of equivalent ages at a 1:4 ratio. The in-hospital mortality rate was calculated and potential confounders were compared between groups.

RESULTS

A total of 170 patients were enrolled; five died during hospital stay after undergoing surgery, yielding a 2.94% in-hospital mortality rate. Twenty patients who did not die were included in the control group. Patients' demographics were similar. The case-control comparison showed that the time from injury to surgery, preoperative hemoglobin level, estimated glomerular filtration rate (eGFR), and white blood cell count were significant factors correlated with in-hospital mortality.

DISCUSSION

The overall in-hospital mortality rate was 2.94%. Significant risk factors for in-hospital mortality included a longer time from injury to surgery, lower preoperative hemoglobin level and eGFR, and higher preoperative white blood cell count. In conclusion, preoperative comprehensive geriatric assessment, including cognitive, nutritional, and frailty status, should also be considered in the elderly fracture care model.