Red Cell Distribution Width as an Independent Predictor of Long-Term Mortality in Hip Fracture Patients: A Prospective Cohort Study

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.

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.

A prediction model of elderly hip fracture mortality including preoperative red cell distribution width constructed based on the random survival forest (RSF) and Cox risk ratio regression

An independent correlation between pre-RDW and 1-year mortality after surgery in elderly hip fracture can be used to predict mortality in elderly hip fracture patients and has predictive significance in anemia patients. With further research, a treatment algorithm can be developed to potentially identify patients at high risk of preoperative mortality.

INTRODUCTION

Red blood cell distribution width (RDW) is an independent predictor of various disease states in elderly individuals, but its association with the prognosis of elderly hip fracture patients is controversial. This study aimed to evaluate the prognostic value of RDW in such patients, construct a prediction model containing RDW using random survival forest (RSF) and Cox regression analysis, and compare RDW in patients with and without anemia.

METHODS

We retrospectively analyzed the data of elderly patients who underwent hip fracture surgery, selected the best variables using RSF, stratified the independent variables by Cox regression analysis, constructed a 1-year mortality prediction model of elderly hip fracture with RDW, and conducted internal validation and external validation.

RESULTS

Two thousand one hundred six patients were included in this study. The RSF algorithm selects 12 important influencing factors, and Cox regression analysis showed that eight variables including preoperative RDW (pre-RDW) were independent risk factors for death within 1-year after hip fracture surgery in elderly patients. Stratified analysis showed that pre-RDW was still independently associated with 1-year mortality in the non-anemia group and not in the anemia group. The nomogram prediction model had high differentiation and fit, and the prediction model constructed by the total cohort of patients was also used for validation of patients in the anemia patients and obtained good clinical benefits.

CONCLUSION

An independent correlation between pre-RDW and 1-year mortality after surgery in elderly hip fracture can be used to predict mortality in elderly hip fracture patients and has predictive significance in anemia patients.

Machine learning-based mortality prediction in hip fracture patients using biomarkers

The purpose of this retrospective study was to assess whether mortality following a hip fracture can be predicted by a machine learning model trained on basic blood and lab test data as well as basic demographic data. Additionally, the purpose was to identify the key variables most associated with 1-, 5-, and 10-year mortality and investigate their clinical significance. Input data included 3751 hip fracture patient records sourced from the Medical Information Mart for Intensive Care IV database, which provided records from in-hospital database systems at the Beth Israel Deaconess Medical Center. The 1-year mortality rate for all patients studied was 21% and for those aged 80+ was 29%. We assessed 10 different machine learning classification models, finding LightGBM to have the strongest 1-year mortality prediction performance, with accuracy of 81%, AUC of 0.79, sensitivity of 0.34, and specificity of 0.98 on the test set. The strongest-weighted features of the 1-year model included age, glucose, red blood cell distribution width, mean corpuscular hemoglobin concentration, white blood cells, urea nitrogen, prothrombin time, platelet count, calcium levels, and partial thromboplastin time. Most of these were also in the top 10 features of the LightGBM 5- and 10-year prediction models trained. Testing for these high-ranking biomarkers in new hip fracture patients can aid clinicians in assessing the likelihood of poor outcomes for hip fracture patients, and additional research can use these biomarkers to develop a mortality risk score.

Deciphering Immune Landscape Remodeling Unravels the Underlying Mechanism for Synchronized Muscle and Bone Aging

Evidence from numerous studies has revealed the synchronous progression of aging in bone and muscle; however, little is known about the underlying mechanisms. To this end, human muscles and bones are harvested and the aging-associated transcriptional dynamics of two tissues in parallel using single-cell RNA sequencing are surveyed. A subset of lipid-associated macrophages (triggering receptor expressed on myeloid cells 2, TREM2+ Macs) is identified in both aged muscle and bone. Genes responsible for muscle dystrophy and bone loss, such as secreted phosphoprotein 1 (SPP1), are also highly expressed in TREM2+ Macs, suggesting its conserved role in aging-related features. A common transition toward pro-inflammatory phenotypes in aged CD4+ T cells across tissues is also observed, activated by the nuclear factor kappa B subunit 1 (NFKB1). CD4+ T cells in aged muscle experience Th1-like differentiation, whereas, in bone, a skewing toward Th17 cells is observed. Furthermore, these results highlight that degenerated myocytes produce BAG6-containing exosomes that can communicate with Th17 cells in the bone through its receptor natural cytotoxicity triggering receptor 3 (NCR3). This communication upregulates CD6 expression in Th17 cells, which then interact with TREM2+ Macs through CD6-ALCAM signaling, ultimately stimulating the transcription of SPP1 in TREM2+ Macs. The negative correlation between serum exosomal BCL2-associated athanogene 6 (BAG6) levels and bone mineral density further supports its role in mediating muscle and bone synchronization with aging.

Admission Inflammation Markers Influence Long-term Mortality in Elderly Patients Undergoing Hip Fracture Surgery: A Retrospective Cohort Study

OBJECTIVES

Hip fractures in elderly patients are associated with a high mortality rate. Most deaths associated with hip fracture result from complications after surgery. Recent studies suggest that some inflammation biomarkers may be useful to estimate excess mortality. This study aimed to investigate the prognostic value of admission inflammation biomarkers in elderly patients with hip fracture.

METHODS

We reports on a retrospective study of elderly hip fracture patients admitted to a hospital in China between January 2015 and December 2019. A total of 1085 patients were included in the study, and their demographic and pre-operative characteristics were analyzed. The inflammation biomarkers included monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), and C-reactive protein (CRP) to albumin ratio (CAR). The predictive performance of NLR, MLR and CAR was assessed by receiver operating characteristics (ROC) curve analysis and the association between admission inflammation markers and mortality was evaluated by Cox proportional regression.

RESULTS

The 30-day, 1-year, 2-year, and 4-year mortality were 1.6%, 11.5%, 21.4% and 48.9%, respectively. The optimal cut-off values of admission NLR, MLR and CAR for 1-year mortality were 7.28, 0.76, and 1.36. After adjusting the covariates, preoperative NLR ≥ 7.28 (HR = 1.419, 95% CI: 1.080-1.864, p = 0.012) were found to be only independent risk factors with 4-year all-cause mortality, the preoperative CAR ≥ 1.36 was independently associated with 1-year (HR = 1.700, 95% CI: 1.173-2.465, p = 0.005), 2 year (HR = 1.464, 95% CI: 1.107-1.936, p = 0.008), and 4-year (HR = 1.341, 95% CI: 1.057-1.700, p = 0.016) all-cause mortality, While age, CCI score, and low hemoglobin at admission were also risk factors for postoperative all-cause mortality.

CONCLUSION

Admission CAR and NLR may be useful indicators for predicting the long-term mortality of elderly patients undergoing hip fracture surgery, and that more research is needed to validate these findings.

Predictors of one-year mortality following hip fracture surgery in elderly

Background

Understanding mortality risk factors is critical to reducing mortality among elderly hip fracture patients. To investigate the effects of admission and post-operative levels of distribution width of red blood cells (RDW), albumin, and RDW/albumin (RA) ratio on predicting 1-year mortality following hip fracture surgery.

Methods

A retrospective study was conducted on 275 elderly patients who underwent hip fracture surgery in a tertiary hospital between January 2018 and January 2022. Deaths within one year of hip fracture were defined as the deceased group. The survivors were defined as those who survived for at least one year. The relationship between admission and post-operative levels of RDW, albumin, RA, and mortality within one year after hip surgery was assessed statistically, including binary logistic regression analysis. The study also assessed other factors related to mortality.

Results

One-year mortality was 34.7%. There was a 3.03-year (95% CI [1.32-4.75]) difference between the deceased (79.55 ± 8.36 years) and survivors (82.58 ± 7.41 years) (p < 0.001). In the deceased group, the mean hemoglobin (HGB) values at admission (p = 0.022) and post-operative (p = 0.04) were significantly lower. RDW values at admission (p = 0.001) and post-op (p = 0.001) were significantly lower in the survivor group. The mean albumin values at admission (p < 0.001) and post-operative (p < 0.001) in the survivor group were significantly higher than in the deceased group. A significant difference was found between the survivor group and the deceased group in terms of mean RA ratio at admission and post-operative (p < 0.001). Based on binary logistic regression analysis, presence of chronic obstructive pulmonary disease (COPD) (OR 3.73, 95% CI [1.8-7.76]), RDW (OR 1.78, 95% CI [1.48-2.14]), and albumin (OR 0.81, 95% CI [0.75-0.87]), values at admission were found to be independent predictors of 1-year mortality in elderly patients with hip fracture.

Conclusion

Based on this study, presence of COPD, higher RDW, and lower albumin levels at admission were independent predictors of 1-year mortality following hip fracture surgery in the elderly.

The Association Between Red Cell Distribution Width (RDW) and All-Cause Mortality in Elderly Patients with Hip Fractures: A Retrospective Cohort Study

Background

Red cell distribution width (RDW) may be related to the prognosis of hip fractures. The purpose of this study was to evaluate the association between (RDW) and all-cause mortality in elderly hip fractures.

Materials and Methods

Elderly patients aged ≥65 years who had a hip fracture were screened between January 1, 2015, and September 30, 2019. The age, gender of patients and other demographics, as well as history of allergy, injury mechanism, underlying illnesses at the time of admission, fracture classification, time from admission to operation, RDW, operation time, blood loss, infusion, transfusion, treatment strategy, and length in hospital stay and follow-up and other clinical characteristics were collected. Linear and nonlinear multivariate Cox regression models were used to identify the association between RDW and mortality in these patients. Analyses were performed using EmpowerStats and the R software.

Results

A total of 2587 patients were included in this retrospective cohort study. The mean follow-up period was 38.92 months. A total of 873 (33.75%) patients died due to all-cause mortality. The RDW was linearly associated with mortality in elderly patients with hip fractures. Linear multivariate Cox regression models showed that RDW was associated with mortality (hazard ratio [HR]=1.03, 95% confidence interval [CI]:1.02-1.05, P < 0.0001) after adjusting for confounding factors. The mortality risk increased by 3% when RDW increased by 1 fL.

Conclusion

RDW is associated with mortality in elderly patients with hip fractures, and RDW could be considered a predictor of mortality risk.

Registration

ChiCTR2200057323.

Association Between Red Blood Cell Indices and Preoperative Deep Vein Thrombosis in Patients Undergoing Total Joint Arthroplasty: A Retrospective Study

PURPOSE

To investigate the association of red blood cell (RBC), hemoglobin (Hb), red cell distribution width-coefficient of variation (RDW-CV), and red cell distribution width-standard deviation (RDW-SD) with preoperative deep vein thrombosis (DVT) in patients undergoing total joint arthroplasty (TJA).

METHODS

A total of 2059 TJA patients were enrolled. We used the ratios of RBC, Hb, RDW-CV, and RDW-SD to DVT before TJA to create the receiver operator characteristic (ROC) curve, thereby calculating the cut-off values and the area under the curve (AUC). The patients were categorized into groups based on cut-off value, and risk factors for DVT before TJA were subsequently analyzed. We included the variates that were statistically significant in the univariate analysis in the multivariate binary logistic regression analysis.

RESULTS

Preoperative DVT occurred in 107 cases (5.20%). Based on the ROC curve, we found that the AUC for RBC, Hb, RDW-CV, and RDW-SD were 0.658, 0.646, 0.568, and 0.586, respectively. Multivariate binary regression analysis revealed that the risk of preoperative DVT in TJA patients with RBC≤3.92*10⁹ /L, Hb≤118g/L, RDW-CV≥13.2%, and RDW-SD≥44.6fL increased 3.02 (P < 0.001, 95% confidence interval (CI) [2.0-4.54]), 2.15 (P < 0.001, 95% CI [1.42-3.24]), 1.54 (P = 0.038, 95% CI [1.03-2.3]), and 1.98 times (P = 0.001, 95% CI [1.32-2.98]), respectively. The risk of preoperative DVT in patients with corticosteroid use increased approximately 2.6 times (P = 0.002, 95% CI [1.22-5.81]).

CONCLUSION

We found that decreased RBC and Hb, increased RDW-CV and RDW-SD, and corticosteroid use were independent risk factors for preoperative DVT in patients undergoing TJA.

Elevated Red Blood Cell Distribution Width Is Associated with Poor Prognosis in Fractured Patients Admitted to Intensive Care Units

OBJECTIVES

Red blood cell distribution width (RDW) with prognosis in various infectious diseases. For fractured patients admitted to the intensive care units (ICU), an accurate and fast appraisal is essential. To investigate the association between RDW and prognosis in fractured patients admitted to the ICU utilizing the MIMIC-III database.

METHODS

A retrospective cohort from the MIMIC III database from 2001 and 2012 was constructed. RDW and other information were collected with in-hospital mortality as the primary outcome and 90-day mortality and hospital and intensive care unit (ICU) length of stay (LOS) as secondary outcomes. Univariate and multivariate logistic regression models with propensity score inverse probability of treatment weighting (IPTW) were used to investigate the prognostic value of RDW. A nomogram was built with significant prognostic factors to predict in-hospital mortality, and the performance of the nomogram was evaluated and compared with other severity assessment scores. Subgroup analysis was also conducted.

RESULTS

A total of 2721 fracture patients admitted to the ICU were identified. After IPTW, the group with higher RDW was significantly associated with elevated in-hospital mortality (odds ratio [OR]: 1.68, 95% confidence interval [CI]: 1.19-2.37), 90-day mortality (OR: 1.39, 95% CI: 1.04-1.86), prolonged hospital LOS (OR: 1.25, 95% CI: 1.03-1.50), and ICU LOS significantly (OR: 1.26, 95% CI: 1.05-1.53) in the multivariate logistics model. The nomogram showed optimal discriminative ability and predictive accuracy with an area under the receiver operating characteristic curve of 0.77.

CONCLUSION

RDW independently predicted in-hospital mortality, 90-day mortality, and hospital and ICU LOS in fractured patients admitted to ICU. The nomogram including RDW could also be a promising tool with potential clinical benefits.

Red cell distribution width, anemia, and lower-extremity physical function among rural-dwelling older adults

BACKGROUND

Elevated red cell distribution width (RDW) has been associated with degenerative conditions in aging.

AIMS

We aimed to evaluate the associations of RDW and anemia with lower-extremity physical function among rural-dwelling older adults.

METHODS

This population-based cross-sectional study included 5093 rural residents (age ≥ 60 years, 57.3% women) who participated in the MIND-China Study in Shandong. Data were collected via face-to-face interviews, clinical examinations, and laboratory tests. RDW was categorized according to quartiles and the lower-extremity physical function was assessed using the Short Physical Performance Battery (SPPB), RESULTS: Multiple linear regression analyses suggested that the fourth quartile of RDW (vs. first quartile) was associated with lower SPPB summary score (β-coefficient - 0.38; 95% CI - 0.58 to - 0.18) and lower scores in balance test (- 0.09; - 0.17 to - 0.01), chair stand test (- 0.17; - 0.27 to - 0.07), and walking speed test (- 0.12; - 0.19 to - 0.05). Anemia was associated with a multiple-adjusted β-coefficient of - 0.34 (- 0.52 to - 0.16) for SPPB summary score. Stratified analysis by anemia showed that there was a linear association between RDW and SPPB in individuals without anemia but a J-shaped association in individuals with anemia.

DISCUSSION

This large-scale population-based study revealed the associations of high RDW and anemia with poor lower-extremity physical function among rural-dwelling Chinese older adults. These findings suggest that an elevated RDW might be a biochemical marker for poor lower-extremity physical function among older adults.

CONCLUSIONS

Anemia and an elevated RDW are associated with poor performance in lower-extremity physical function among rural-dwelling Chinese older adults.

Succinate dehydrogenase inversely regulates red cell distribution width and healthy lifespan in chronically hypoxic mice

Increased red cell distribution width (RDW), which measures erythrocyte volume (MCV) variability (anisocytosis), has been linked to early mortality in many diseases and in older adults through unknown mechanisms. Hypoxic stress has been proposed as a potential mechanism. However, experimental models to investigate the link between increased RDW and reduced survival are lacking. Here, we show that lifelong hypobaric hypoxia (~10% O2) increases erythrocyte numbers, hemoglobin and RDW, while reducing longevity in male mice. Compound heterozygous knockout (chKO) mutations in succinate dehydrogenase (Sdh; mitochondrial complex II) genes Sdhb, Sdhc and Sdhd reduce Sdh subunit protein levels, RDW, and increase healthy lifespan compared to wild-type (WT) mice in chronic hypoxia. RDW-SD, a direct measure of MCV variability, and the standard deviation of MCV (1SD-RDW) show the most statistically significant reductions in Sdh hKO mice. Tissue metabolomic profiling of 147 common metabolites shows the largest increase in succinate with elevated succinate to fumarate and succinate to oxoglutarate (2-ketoglutarate) ratios in Sdh hKO mice. These results demonstrate that mitochondrial complex II level is an underlying determinant of both RDW and healthy lifespan in hypoxia, and suggest that therapeutic targeting of Sdh might reduce high RDW-associated clinical mortality in hypoxic diseases.

Higher red cell distribution width and poorer hospitalization-related outcomes in elderly patients

BACKGROUND

Red cell distribution width (RDW), an index for variation of red blood cell (RBC) size, has been proposed as a potential marker for poorer outcomes in several aging-related diseases and conditions. We tested whether greater variability of RBC size, presented as a higher RDW value, predicts poor prognoses among hospitalized patients over 60 years old.

METHODS

We retrospectively collected data from older hospitalized patients aged ≥60 years between January 2013 to December 2017 at Sutter Health, a large integrated health system in Northern California. The RDW was measured during hospital admission and categorized with 1% intervals (≤13.9, 14.0-14.9, 15.0-15.9, 16.0-16.9, 17.0-17.9 and ≥18.0%). The primary outcome was the rate of in-hospital mortality and secondary outcomes included 30-day re-admission rate and length of hospital stay (in days).

RESULTS

A total of 167,292 admissions from 94,617 patients were included. The overall in-hospital mortality rate was 6.3%. As the RDW value increased, the rate of in-hospital mortality gradually increased from 2.7% for the lowest RDW category to 12.2% in the highest category (p-trend <0.001). The overall 30-day re-admission rate after discharge was 12.5% and the rate of 30-day re-admission also increased with increasing RDW categories (7.4% in the lowest group vs. 15.8% in the highest group, p-trend <0.001). Patients with the highest RDW values at admission stayed 1.5-2.0 times longer in the hospital than patients with lower RDW values who were admitted for the same causes.

CONCLUSIONS

Greater variability of RBC size is significantly associated with worse prognosis in hospitalized elderly patients, indicating higher mortality, greater risk of early re-admission, and longer hospital stay days. Risk stratification strategies for hospitalized elderly should include RDW value.

Chronic kidney disease and risk of postoperative cardiovascular events in elderly patients receiving hip fracture surgery

INTRODUCTION

The long-term risk of cardiovascular events caused by chronic kidney disease (CKD) is well described in the general population. Less is known concerning the risk of postoperative cardiovascular events in geriatric hip fracture patients with CKD.

METHODS

This study involved patients at least 65 years of age who received surgery for acute hip fracture between January 2000 and April 2016. We identified CKD patients with a baseline diagnosis of CKD or an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m² at admission. Each CKD patient was matched, for age, gender, fracture type, and year of admission, with 4 control non-CKD patients. The primary endpoint was a compositepostoperative cardiovascular events, including pulmonary embolism, angina pectoris, myocardial infarction, heart failure, arrhythmia, stroke, and death. Conditional logistic regression was used to evaluate the association between CKD and the outcome after adjusting for potential confounders including age, gender, fracture type, body mass index, preexisting comorbidities, history of cardiovascular events, and the Charlson Comorbidity Index (CCI).

RESULTS

Three hundred and seventy-five CKD patients were matched with 1,438 non-CKD patients. The mean age of the CKD patients was 81.9 ± 7.0 (mean ± SD), 69.9% were females, and 59.2% had an intertrochanteric fracture. Compared to non-CKD patients, CKD patients had a higher proportion of preexisting comorbidities, including hypertension, coronary heart disease, heart failure, and type 2 diabetes (all p < 0.05). The risk of postoperative cardiovascular events was 125.3 per 1000 persons (95%CI, 91.8-158.8) in CKD patients and 64.7 per 1000 persons (95%CI, 52.0-77.4) in non-CKD patients. A 1.96-fold risk of cardiovascular events after hip fracture surgery was found in CKD patients than those without CKD (adjusted OR, 1.96; 95%CI, 1.23-3.12).

CONCLUSION

Patients with CKD were more likely to have cardiovascular events after hip fracture surgery than those without CKD. Appropriate preoperative cardiovascular risk assessment and corresponding preventive and therapeutic measures should be given to this vulnerable population to mitigate such complications.

Does Red Cell Distribution Width Predict Hip Fracture Mortality Among the Arab Population? A Single-Center Retrospective Cohort Study

BACKGROUND

Hip fractures impose significant morbidity and mortality. Red cell distribution width (RDW) appears to be an emerging tool in predicting mortality following hip fractures. Several factors can influence the RDW value including genetic factors and ethnicity. The purpose of the study was to assess the relation between RDW level at admission and hip fracture mortality within 6 months among Arab/Middle East populations.

METHODS

We conducted a single-center retrospective cohort study including 549 patients (274 female and 275 male) diagnosed with a hip fracture undergoing surgery from February 2016 to December 2019. All included patients shared the same country of origin which is Arab Middle East country. Statistical analysis, including binary regression, was performed to assess the relationship between RDW and mortality within 6 months of admission. Other predictors of mortality following hip fracture surgery were also assessed.

RESULTS

The mean age was 76.42 (±9.19) years. Seventy (12.8%) of participants died within 6 months. No statistically significant association (P=0.053) between RDW level at admission and mortality within 6 months of surgery was found. Binary regression demonstrated that the only independent predictors of mortality were age (P= 0.003, odds ratio 1.048 with 95% CI 1.016 to 1.080) and male gender (P= 0.021, odds ratio 1.872 with 95% CI 1.100 to 3.185).

CONCLUSION

Although the previous studies reported that RDW is one of the predictors of mortality in hip fracture patients, our study found no relation in the Arab population. This finding may confirm the influence of genetic factors and ethnicity on RDW value. We recommend further large-scale multicenter studies to solidly establish the relationship between RDW and hip fracture mortality among the Arab/Middle East population.

Pretreatment red blood cell distribution width as an efficient predictor of survival in older patients undergoing hip fracture surgery

PURPOSE

We aimed to determine whether pretreatment red blood cell distribution width (RDW) is an efficient predictor of 30-day mortality in older patients undergoing hip fracture surgery.

METHODS

In this prospective cohort study, 203 patients with hip fractures were eligible and followed up for at least 30 days. All the patients underwent medical examinations. RDW was measured using an automated hematology analyzer. To evaluate the prognostic significance of RDW, Cox proportional hazard model and Kaplan-Meier analyses were performed.

RESULTS

Of the 203 patients (114 men, 89 women), 28 (13.79%) died within 30 days. The mean RDW was significantly higher in the deceased group than in the survival group (14.54% ± 1.09% vs 13.26% ± 0.57%; P < .001). Multivariate Cox regression analysis showed that elevated RDW (hazard ratio = 2.73, 95% confidence interval = 2.06-3.62, P < .001) was the key predictor of 30-day mortality in older patients undergoing hip fracture surgery. Survival analysis showed that patients with a high RDW had a significantly higher 30-day mortality rate (log-rank test, P < .05). Similar results were observed in the male and female subgroups.

CONCLUSION

RDW might be an effective predictor of 30-day mortality in older patients undergoing hip fracture surgery.

Red Cell Distribution Width: Commonly Performed Test Predicts Mortality in Primary Total Joint Arthroplasty

INTRODUCTION

Mortality after total joint arthroplasty (TJA) has been thoroughly explored. Short and long-term mortality appear to be correlated with patient comorbidities. Red Cell Distribution Width (RDW) is a commonly performed test that reflects the variation in red blood cell size. This study investigated the utility of RDW, when combined with comorbidity indices, in predicting mortality after TJA.

METHODS

Using a single institutional database, 30,437 primary TJA were identified. Patient demographics (age, gender, body mass index (BMI), pre-operative hemoglobin, RDW, and Charlson Comorbidity Index(CCI)) were queried. The primary outcome was 1-year mortality after TJA. Anemia was defined as hemoglobin <12g/dL for women and <13 g/dL for men. The normal range for RDW is 11.5-14.5%. A preliminary analysis assessed the bivariate association between demographics, preoperative anemia, RDW, CCI, and all-cause mortality within 1-year after TJA. A multivariate regression model was conducted to determine independent predictors of 1-year mortality. Finally, ROC curves were used to compare AUC of RDW, CCI and the combination of both in predicting 1-year mortality.

RESULTS

The mean RDW was 13.6% ± 1.2. Eighteen percent of patients had pre-operative anemia. The mean CCI was 0.4 ± 0.9. RDW, anemia, CCI, and age were significantly associated with a higher incidence of 1-year mortality. RDW, CCI, age, and male sex were found to be independent risk factors for 1-year mortality. RDW (AUC = 0.68) was a better predictor of mortality compared to CCI (AUC = 0.66). The combination of RDW and CCI (AUC = 0.76) predicted 1-year mortality more accurately than CCI or RDW alone.

CONCLUSION

RDW appears to be a useful parameter that, when combined with CCI, can predict the risk for 1-year mortality after TJA.

Risk of post-operative cardiovascular event in elderly patients with pre-existing cardiovascular disease who are undergoing hip fracture surgery

PURPOSE

To evaluate the association between pre-existing cardiovascular disease (CVD) and the risk of developing post-operative cardiovascular event among elderly patients who underwent hip fracture surgery.

METHODS

We performed an observational study among patients with acute hip fracture aged at least 65 years and who received surgical intervention. Hip fracture patients with pre-existing CVD were matched for age, gender, fracture type, and year of admission with patients without pre-existing CVD. The primary endpoint was post-operative cardiovascular events, and patients were followed until discharge from hospital. Conditional logistic regression was used to determine the association between pre-existing CVD and post-operative cardiovascular event after adjusting for potential confounders including age, body mass index, time from fracture to surgery, pre-existing comorbidities, and the Charlson Comorbidity Index (CCI).

RESULTS

The study matched 858 pairs of patients with and without pre-existing CVD. Post-operative cardiovascular events developed in 40 and 14 patients with and without pre-existing CVD (44.6 versus 16.3 per 1000 persons), respectively. Compared to patients without pre-existing CVD, patients with any pre-existing CVD were more likely to develop post-operative cardiovascular events, with a crude odds ratio (OR) of 2.857 [95% confidence interval (CI), 1.554 to 5.251] and multivariable adjusted OR of 2.850 (95% CI, 1.318 to 7.139), respectively.

CONCLUSION

In elderly patients who received hip fracture surgery, patients with pre-existing CVD are at a higher risk of developing post-operative cardiovascular events. Appropriate screening for this vulnerable population is recommended to prevent the risk of post-operative complications.

Trends in Comorbidities and Postoperative Complications of Geriatric Hip Fracture Patients from 2000 to 2019: Results from a Hip Fracture Cohort in a Tertiary Hospital

Objective

To describe the secular trends in comorbidities and postoperative complications of geriatric hip fracture patients from the Chinese People's Liberation Army General Hospital Hip Fracture Cohort between 2000 and 2019.

Methods

We included 2,805 hip fracture patients aged 65 years or older and received surgical treatment from 25 January 2000 to 19 December 2019. Demographic characteristics, comorbidities, postoperative complications, length of hospital stay, and the time to surgery were extracted and examined in each 5‐year period based on the admission year, namely 2000–2004, 2005–2009, 2010–2014, and 2015–2019. Categorical data were analyzed by chi‐squared or Fisher's exact test, with ordinal data by row mean scores difference test and continuous data by one‐way analysis of variance. Trends in comorbidities and postoperative complications were examined by the Cochran–Armitage trend test.

Results

The average age of the included population was 79.1 ± 7.3 years (mean ± standard deviation), and 69.1% were female. From 2000 to 2019, the proportion of females increased from 59.8% to 73.0% (P for trend <0.05). Hypertension (51.8%), type 2 diabetes (23.6%), coronary heart disease (20.9%), stroke (18.7%), and arrhythmia (11.2%) were the most prevalent five comorbidities. The proportion of hypertension was 27.0%, 45.4%, 53.0%, and 57.2% in each 5‐year period with an increasing trend (P for trend <0.05). The proportion of type 2 diabetes was 9.8%, 22.8%, 23.5%, and 26.0% in each 5‐year period (P for trend <0.05). Similar increasing trends were found in myocardial infarction, arrhythmia, and tumor. On the contrary, the proportion of patients with major postoperative complications decreased from 2000 to 2019, with 23.0%, 14.6%, 6.5%, and 5.6% in each 5‐year period (P for trend <0.05). For each specific postoperative complication, i.e. pneumonia, cardiovascular event, respiratory failure, and in‐hospital death, similar decreasing trends were found (all P for trend <0.05).

Conclusion

This descriptive analysis sheds light on the fact that the health status of the hip fracture population tends to shift gradually. Improving concepts and practices of clinical interventions may help reduce postoperative complications, whereas challenges in the management of comorbidities increase.

A novel machine-learning algorithm for predicting mortality risk after hip fracture surgery

INTRODUCTION

Although several risk stratification models have been developed to predict hip fracture mortality, efforts are still being placed in this area. Our aim is to (1) construct a risk prediction model for long-term mortality after hip fracture utilizing the RSF method and (2) to evaluate the changing effects over time of individual pre- and post-treatment variables on predicting mortality.

METHODS

1330 hip fracture surgical patients were included. Forty-five admission and in-hospital variables were analyzed as potential predictors of all-cause mortality. A random survival forest (RSF) algorithm was applied in predictors identification. Cox regression models were then constructed. Sensitivity analyses and internal validation were performed to assess the performance of each model. C statistics were calculated and model calibrations were further assessed.

RESULTS

Our machine-learning RSF algorithm achieved a c statistic of 0.83 for 30-day prediction and 0.75 for 1-year mortality. Additionally, a COX model was also constructed by using the variables selected by RSF, c statistics were shown as 0.75 and 0.72 when applying in 2-year and 4-year mortality prediction. The presence of post-operative complications remained as the strongest risk factor for both short- and long-term mortality. Variables including fracture location, high serum creatinine, age, hypertension, anemia, ASA, hypoproteinemia, abnormal BUN, and RDW became more important as the length of follow-up increased.

CONCLUSION

The RSF machine-learning algorithm represents a novel approach to identify important risk factors and a risk stratification models for patients undergoing hip fracture surgery is built through this approach to identify those at high risk of long-term mortality.

Red Cell Distribution Width and Dementia Among Rural-Dwelling Older Adults: The MIND-China Study

BACKGROUND

Evidence has emerged that anemia is associated with dementia, but data on the relationships of red blood cell distribution width (RDW) with dementia and cognitive function in older adults are sparse.

OBJECTIVE

We sought to investigate the associations of RDW with dementia and global cognitive performance among rural-dwelling Chinese older adults and further to examine their associations by anemia status.

METHODS

This population-based cross-sectional study included 5,115 participants (age≥65 years, 57.0%women) in the baseline examination (March-September 2018) of the Multimodal Interventions to Delay Dementia and Disability in rural China (MIND-CHINA). We collected data through face-to-face interviews, clinical examinations, and laboratory tests. Global cognitive function was evaluated using the Mini-Mental State Examination (MMSE). We defined dementia, Alzheimer's disease (AD), and vascular dementia (VaD) following the respective international criteria. Data were analyzed using multinomial logistic and general linear regression models.

RESULTS

Of all participants, 300 were diagnosed with dementia, including 195 with AD and 95 VaD. The multiple-adjusted odds ratio of dementia associated with quartiles of RDW were 1.45 (95%CI: 0.87-2.44), 1.00 (reference), 1.77 (1.07-2.93), and 2.28 (1.40-3.72). Similar J-shaped patterns existed for the association of RDW with odds ratio of AD and VaD. Anemia was not significantly associated with dementia. The J-shaped associations of RDW with dementia and subtypes were statistically evident only among participants without anemia. There was an inverted J-shaped relationship between RDW quartiles and β-coefficients of MMSE score.

CONCLUSION

There is a J-shaped association between RDW level and likelihood of dementias among rural-dwelling Chinese older adults, especially among people without anemia.

Red Cell Distribution Width as a Novel Predictor of Mortality and Complications After Primary Shoulder Arthroplasty

INTRODUCTION

Variability in red blood cell volume can occur in disease states and is quantified using a simple equation, yielding the relative distribution of width (RDW). Recent literature has correlated RDW with outcomes in many cardiac disease states, hip fractures, and even revision hip arthroplasty. The association with outcomes in total shoulder arthroplasty (TSA) is yet to be delineated. The purpose of this study was to investigate the possible relationship between preoperative RDW levels and mortality and other adverse outcomes after primary TSA.

METHODS

Patients who underwent primary TSA and had RDW values on record were identified in a national database. Patients were then grouped by RDW, and the incidence of complications was calculated for each group, including mortality within 1 year, periprosthetic infection within 1 year, acute venous thromboembolism within 30 days, and readmission to a hospital within 30 days. A threshold value of RDW for increased complications was established using receiver operator characteristic (ROC) curves.

RESULTS

Five thousand two hundred forty-five patients who underwent TSA with a recorded RDW were included in the study. An RDW cutoff of 16% was found to be significantly associated with mortality at 1 year (P < 0.0001), readmission (P < 0.0001), and infection (P = 0.013) on ROC analysis. When controlling for demographic and comorbidity values, a high RDW was markedly associated with a higher mortality rate (odds ratio 2.0, 95% confidence interval 18 to 2.2) and readmission rate (odds ratio 1.5, 95% confidence interval 1.3 to 1.8). A high RDW was not markedly associated with increased infection or venous thromboembolism rate in the multivariate analysis.

DISCUSSION

Increasing preoperative RDW is associated with increasing complication rates after TSA. This value can be used as an indirect, real-time preoperative predictor of adverse outcomes and most importantly one-year mortality and hospital readmission.

LEVEL OF EVIDENCE

III retrospective cohort study.

Quantitative proteomics and reverse engineer analysis identified plasma exosome derived protein markers related to osteoporosis

Alongside an aging population, osteoporosis has become increasingly common, representing a major public health problem. Human blood provides the predominant matrix for pathological targets underlining disease mechanisms. In the present study, the protein profiles of blood plasma exosomes from patients with osteoporosis, osteopenia, and those with normal bone mass were compared. The aim of the study was to search for potential novel diagnostic/therapeutic targets for further investigation in osteoporosis. A total of 60 participants were included from the PLAGH Hip Fracture Database. Quantitative proteomics was carried out to profile the plasma exosome derived proteins from patients diagnosed with osteoporosis, osteopenia, and normal bone mass, respectively. A Parallel reaction monitoring (PRM) analysis was further carried out to validate the identified proteins. Bio-informatics analyses including GO annotation and reverse engineering of gene regulatory networks analysis were applied in annotating the biological relevance of the identified proteins. Forty-five differentially expressed proteins were identified in the discovery dataset and four of them, PSMB9, AARS, PCBP2, and VSIR were further verified in a validation set. Based on the results, an exosomal-proteins index was constructed to classify individuals with osteoporosis from those without, an AUC of 0.805 (95% CI 0.620-0.926, p < 0.001) was achieved in classification performance assessment. Additionally, a reverse engineer of the regulatory network analysis identified and predicted the proteins which may interact with the four target proteins identified, providing references for further investigations into the pathological mechanisms of osteoporosis.

Red Cell Distribution Width as a Predictor of Functional Outcome in Rehabilitation of Older Stroke Patients

BACKGROUND

Red cell distribution width (RDW) is a prognostic marker in vascular diseases. While increased RDW predicts mortality and outcomes after ischemic stroke, evidence regarding its prognostic significance in stroke rehabilitation is lacking. Thus, the present study investigated the relationship of RDW with stroke, orthopedic, and deconditioning rehabilitation outcomes.

METHODS

This prospective comparative study included three groups (stroke, orthopedic, and deconditioning) of older adult patients hospitalized for rehabilitation. The patients in each group were divided into two subgroups according to whether they had high (>14.5%) or normal (≤14.5%) RDW levels on admission. Functional outcome was assessed by total and motor FIM (Functional Independence Measure) score changes and efficiency at admission and on discharge.

RESULTS

Of the 234 eligible patients, 108 (46.2%) had high RDW. Of the 50 stroke rehabilitation patients, 13 (26%) had high RDW. FIM change and efficiency scores were significantly lower in patients with high RDW only in the stroke rehabilitation group. However, multiple linear regression analysis showed that high RDW was not independently associated with total and motor FIM gain or total and motor FIM efficiency.

CONCLUSION

High RDW levels on admission to rehabilitation were associated with poor rehabilitation outcome in stroke patients but were not an independent risk factor for rehabilitation outcomes.

Red Cell Distribution Width Is a Risk Factor for Hip Fracture in Elderly Men Without Anemia

Red cell distribution width (RDW), routinely assessed as a component of a complete blood count (CBC), quantifies the variation in the size of red blood cells. It increases with age, and increased RDW predicts many aging-related diseases and mortality. However, whether it also predicts hip fracture is unknown. We prospectively evaluated the association between RDW and hip fracture using data from the Osteoporotic Fracture in Men (MrOS) study. RDW was measured in 3635 men (aged 71 to 99 years) along with bone mineral density (BMD) in MrOS. RDW ranged from 11.3% to 32.9% (median 14.0%; interquartile range 13.5% to 14.8%) and was categorized into four groups (≤13.0%, 13.1% to 14.0%, 14.1% to 15.0%, ≥15.1%). Study participants with a hemoglobin level <13.0 g/dL were classified as having anemia. During an average 8.1 years, 164 men suffered hip fractures. The risks of hip fractures increased with increase of RDW category. Furthermore, there was a significant interaction between anemia and RDW: An association between RDW and hip fractures was only observed in participants without anemia. In those without anemia, the relative hazard of hip fractures increased with increases in RDW category: Men in the highest RDW category had a 2.8 times higher risk of hip fractures than men in the lowest group (95% confidence interval 1.1 to 7.1). The risks of all-clinical fractures were also increased along with higher RDW values. Additionally, RDW was significantly associated with the risk of having a fall but not with femoral neck or total hip BMD. In conclusion, RDW and anemia defined by hemoglobin are widely available routine laboratory measurements that together could indicate increased risk of hip fracture, reflecting the neuromuscular effects of aging rather than lower hip BMD. © 2020 American Society for Bone and Mineral Research.

Elevated Red Blood Cell Distribution Width Is Associated with Morphometric Vertebral Fracture in Community-Dwelling Older Adults, Independent of Anemia, Inflammation, and Nutritional Status: The Korean Urban Rural Elderly (KURE) Study

Elevated red blood cell distribution width (RDW), a simple measure of red blood cell size heterogeneity, has been associated with increased mortality and morbidity in the elderly population, which might reflect systemic inflammation and malnutrition. However, whether elevated RDW is associated with prevalent morphometric vertebral fracture (VF) in older adults has not been investigated. We examined 2127 individuals (mean age 71.7 years; women 66%) from a community-based cohort. VF was defined as ≥ 25% reduction in vertebral column height using the Genant semiquantitative method. Multiple VF was defined as the presence of VF at two or more sites. The prevalence of any VF and multiple VF was 14% and 4%, respectively, increasing from the lowest to the highest RDW tertiles (12-18% and 3-6%, p for trend < 0.05 for all). RDW was positively associated with age, body mass index (BMI), malnutrition, and high-sensitivity C-reactive protein (hsCRP), whereas it was negatively associated with albumin, hemoglobin, and ferritin levels. Elevated RDW was associated with any VF [adjusted odds ratio (aOR) 1.26; p = 0.008] and multiple VF (aOR 1.36; p = 0.010) after adjustment for covariates, including age, sex, BMI, hsCRP, malnutrition, self-reported previous fracture, falls, osteoporosis, and hemoglobin and ferritin levels. The association between elevated RDW and VF remained robust in subgroups with (aOR 1.39; p = 0.048) or without anemia (aOR 1.26; p = 0.030). Elevated RDW was associated with prevalent morphometric VF in community-dwelling elderly individuals, independent of anemia, inflammation, and nutritional status.

Red Cell Distribution Width: An Unacknowledged Predictor of Mortality and Adverse Outcomes Following Revision Arthroplasty

BACKGROUND

Revision total joint arthroplasties (TJAs) have been empirically associated with significant postoperative morbidity and mortality. Red blood cell distribution width (RDW), a frequently measured hematological parameter, has been shown to predict mortality in hip fracture patients. However, its utility in risk-stratifying patients before revision TJA remains unknown. The aim of this study was to investigate the possible relationship between preoperative RDW levels and outcome of revision arthroplasty in terms of mortality, adverse outcomes, and length of hospital stay.

METHODS

A single-institution retrospective study was conducted on 4633 patients who underwent revision TJA (3289 hips and 1344 knees) between 2000 and September 2016. Of those, 656 (14.1%) surgeries were performed due to periprosthetic joint infection, and 3977 (85.9%) were aseptic revisions. The association between preoperative RDW and various outcomes, including 1-year mortality, in-hospital medical complications, length of hospital stay, and 90-day all-cause readmission, was examined.

RESULTS

The average age of patients in the cohort was 65.4 ± 12.9 years. The average Charlson comorbidity index was 0.6 (standard deviation = 1.0), with 691 patients (14.9%) having 2 or more comorbidities. Mean preoperative RDW level was 14.4% (standard deviation = 1.8). After adjusting for covariates, higher RDW levels were statistically significantly associated with mortality (adjusted odds ratio [OR], 1.25; 95% confidence interval [CI], 1.13-1.39; P < .001), any in-hospital medical complications (adjusted OR, 1.12; 95% CI, 1.07-1.18; P < .001), and readmission (adjusted OR, 1.07; 95% CI, 1.02-1.13; P < .001).

CONCLUSION

Higher levels of preoperative RDW appeared to be associated with less optimal outcomes after revision TJA. Adult reconstruction orthopedic surgeons should be aware of this predictive factor and exercise caution with TJA revision patients with high values of preoperative RDW. RDW could be included in the routine perioperative workup and used to counsel patients on their postoperative risk.

Hip fracture patients who experience a greater fluctuation in RDW during hospital course are at heightened risk for all-cause mortality: a prospective study with 2-year follow-up

This study aims to detect whether there remains valuable prognostic information in fluctuation of red cell distribution width (RDW) in hip fracture patients. Results show that this readily available parameter may provide a more effective strategy for assessment of mortality risk, therefore providing a reference for clinical planning and decision-making.

INTRODUCTION

Prognostic values have been found in the fluctuation of some hematologic parameters. The red cell distribution width (RDW) routinely reported with all complete blood cell counts (CBC) has proven to be associated with poor outcomes in various diseases. However, whether the fluctuation in RDW is predictive of long-term mortality in hip fracture patients treated with surgery remains unknown.

METHODS

One thousand three hundred thirty hip fracture patients who underwent surgery from January 1, 2000 to November 18, 2012 were recruited in this prospective cohort study. Fluctuation in the RDW between admission and discharge was measured, and a Kaplan-Meier (KM) analysis and multivariable Cox regression model were applied to evaluate the relationship between this fluctuation and mortality. Risk factors for a larger fluctuation were detected by using Logistic regression analyses.

RESULTS

In addition to the admission RDW, a high RDW level at the time of discharge was also associated with an increased risk of death, while no significant difference was found in the postoperative RDW. Fluctuation in the RDW between admission and discharge was an independent risk predictor for 2-year mortality (HR 1.45 95%CI 1.06-2.00, p = 0.022). Factors affecting the change in the RDW between admission and discharge included both the demographic characteristics of the patients and clinical interventions.

CONCLUSION

Hip fracture patients who experience a greater fluctuation in RDW during the hospital course are at a heightened risk for 2-year all-cause mortality.

Combination of measures of handgrip strength and red cell distribution width can predict in-hospital complications better than the ASA grade after hip fracture surgery in the elderly

BACKGROUND

Early detection of a high-risk patient following hip fracture surgery is of paramount clinical importance. American Society of Anesthesiologists (ASA) grading is an easy and efficient index in predicting a worse outcome. The red cell distribution width (RDW) and handgrip strength, are gaining interest as a prediction tool as well. Accordingly, the objective of this study was to investigate the potential association between ASA, RDW and grip strength and detect the effects of combining RDW and grip strength for predicting early complication after hip fracture surgery in the elderly.

METHODS

Eighty-three consecutive patients operated with hip fracture surgeries were identified retrospectively. Age, gender, diagnosis, RDW, handgrip strength and ASA grade were recorded. Admission to the intensive care unit (ICU), length of ICU stay, transfer to other departments, in-hospital death, and readmission were investigated as early complications. Logistic regression analysis was applied to evaluate the estimates in predicting complications, and receiver operating characteristics curves were constructed to compare the estimates and decide which method is more accurate.

RESULTS

After the surgery, 52% of the patients were admitted to the ICU. From the analyses, RDW and grip strength had no significant relation with each other. However, the ICU stay was correlated with RDW and grip strength but not for the ASA grade. A higher ASA grade and grip strength could independently predict ICU admission. The combination of RDW with grip strength outweighed the ASA grade in predictive ability.

CONCLUSIONS

The current study indicated that combining RDW and grip strength measures can be efficient and clinically relevant in predicting early postoperative complications after fragility hip fracture in the elderly. Due to the objectivity and availability of those two approaches, patient care, and functional outcomes are expected to be improved by adopting these measures in the clinical setting.

Prevalence of preoperative anemia, abnormal mean corpuscular volume and red cell distribution width among surgical patients in Singapore, and their influence on one year mortality

Introduction

Preoperative anemia and high red cell distribution width (RDW) are associated with higher perioperative mortality. Conditions with high RDW levels can be categorized by mean corpuscular volume (MCV). The relationship between RDW, anemia and MCV may explain causality between high RDW levels and outcomes. We aim to establish the prevalence of preoperative anemia and distribution of RDW and MCV among pre-surgical patients in Singapore. In addition, we aim to investigate the association between preoperative anemia, RDW and MCV levels with one-year mortality after surgery.

Methods

Retrospective review of 97,443 patients aged > = 18 years who underwent cardiac and non-cardiac surgeries under anesthesia between January 2012 and October 2016. Patient demographics, comorbidities, priority of surgery, surgical risk classification, perioperative transfusion, preoperative hemoglobin, RDW, MCV were collected. WHO anemia classification was used. High RDW was defined as >15.7%. Multivariate regression analyses were done to identify independent risk factors for mild or moderate/severe anemia and high RDW (>15.7). Multivariate cox regression analysis was done to determine the effect of preoperative anemia, abnormal RDW and MCV values on 1-year mortality.

Results

Our cohort comprised of 94.7% non-cardiac and 5.3% cardiac surgeries. 88.7% of patients achieved 1 year follow-up. Anemia prevalence was 27.8%—mild anemia 15.3%, moderate anemia 12.0% and severe anemia 0.5%. One-year mortality was 3.5%. Anemia increased with age in males, while in females, anemia was more prevalent between 18–49 years and > = 70 years. Most anemics were normocytic. Normocytosis and macrocytosis increased with age, while microcytosis decreased with age. Older age, male gender, higher ASA-PS score, anemia (mild- aHR 1.98; moderate/severe aHR 2.86), macrocytosis (aHR 1.47), high RDW (aHR 2.34), moderate-high risk surgery and emergency surgery were associated with higher hazard ratios of one-year mortality.

Discussion

Preoperative anemia is common. Anemia, macrocytosis and high RDW increases one year mortality.

Prognostic Value of Red Blood Cell Distribution Width in Non-Cardiovascular Critically or Acutely Patients: A Systematic Review

BACKGROUND

RDW (red cell distribution width) has been reported to been associated with the prognosis of patients with cardiovascular diseases. However, RDW is often overlooked by clinicians in treating patients with non-cardiovascular diseases, especially in an emergency. The objective of this systematic review is to explore the prognostic value of RDW in non-cardiovascular emergencies.

METHODS

PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials were systematically searched from their inception to December 31, 2015. We included studies examining the relationship between RDW and mortality rate by adjusting important covariables in non-cardiovascular emergencies. All included studies were divided into three groups. Group A: general critically ill patients; Group B: patients with infectious disease; Group C: other conditions. We extracted each study' characteristics, outcomes, covariables, and other items independently.

RESULTS

A total of 32 studies were eligible for inclusion in our meta-analysis. Six studies belonged to Group A, 9 studies belonged to Group B and 17 studies belonged to Group C. Among these included studies, RDW was assessed as a continuous variable (per 1% increase) in 16 studies, as a binary variable in 8 studies, and as a categorical variable in 8 studies. In addition, AUCs (area under the receiver operating characteristic curve) of RDW for predicting mortality were reported in 25 studies. All studies were published between 2011-2015. The qualities of included 32 studies were moderate or high.

CONCLUSION

The present systematic review indicates that the increased RDW is significantly associated with a higher mortality rate in an non-cardiovascular emergency. The low cost and readily accessible of this laboratory variable may strengthen its usefulness in daily practice in the future.

Prognostic Value of Red Blood Cell Distribution Width in Non-Cardiovascular Critically or Acutely Patients: A Systematic Review

Background

RDW (red cell distribution width) has been reported to been associated with the prognosis of patients with cardiovascular diseases. However, RDW is often overlooked by clinicians in treating patients with non-cardiovascular diseases, especially in an emergency. The objective of this systematic review is to explore the prognostic value of RDW in non-cardiovascular emergencies.

Methods

PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials were systematically searched from their inception to December 31, 2015. We included studies examining the relationship between RDW and mortality rate by adjusting important covariables in non-cardiovascular emergencies. All included studies were divided into three groups. Group A: general critically ill patients; Group B: patients with infectious disease; Group C: other conditions. We extracted each study’ characteristics, outcomes, covariables, and other items independently.

Results

A total of 32 studies were eligible for inclusion in our meta-analysis. Six studies belonged to Group A, 9 studies belonged to Group B and 17 studies belonged to Group C. Among these included studies, RDW was assessed as a continuous variable (per 1% increase) in 16 studies, as a binary variable in 8 studies, and as a categorical variable in 8 studies. In addition, AUCs (area under the receiver operating characteristic curve) of RDW for predicting mortality were reported in 25 studies. All studies were published between 2011–2015. The qualities of included 32 studies were moderate or high.

Conclusion

The present systematic review indicates that the increased RDW is significantly associated with a higher mortality rate in an non-cardiovascular emergency. The low cost and readily accessible of this laboratory variable may strengthen its usefulness in daily practice in the future.

The Penrod score: a prognostic instrument to balance an increasing geriatric fracture caseload with diminishing health care resources?

INTRODUCTION

Geriatric hip fracture patients are a highly heterogeneous collective, what distinctly aggravates the best possible treatment. Consequently, it is becoming more important to identify selection criteria that can distinguish those patients who can benefit the most from treatment in a geriatric fracture center. In our pilot study, we assessed the 2007 published Penrod score for its utility as a useful selection tool by prospectively comparing our own patient's outcome with the Penrod study.

METHODS

77 patients treated for geriatric hip fracture were preoperatively classified according to the Penrod score. Patients were divided into three clusters by age (1: <75 years, 2: 75-84 years, 3: ≥85 years). Clusters 2 and 3 were then classified according to their ability to perform activities of daily living (ADL's) and cognitive status (presence or absence of dementia). In 51 out of these 77 patients, the ability to perform ADLs could be assessed 6 months postoperatively and was compared with the Penrod scores.

RESULTS

58 % of cluster 1 patients were able to perform 4 ADLs independently 6 months postoperatively (52.9 % Penrod study). In clusters 2A and 3A, 48 and 50 %, respectively, were able to perform 4 ADLs independently, compared with 40.6 and 31.5 % (Penrod collective). 22 % of our patients in 2B performed all ADLs independently (3.6 % Penrod) and 25 % in cluster 3B (9.4 % Penrod).

CONCLUSION

Our preliminary results support the prognostic value of the Penrod score in the treatment of geriatric hip fracture patients. With the help of the Penrod score, it may be possible to identify patients, who are expected to significantly profit from an intensified treatment in a geriatric fracture center (clusters 2B, 3A, and 3B). By utilizing this score, improved outcomes and simultaneously a more effective utilization of valuable health care resources could be achieved.