Literature DB >> 28977869

Prognostic value of the c-reactive protein/prognostic nutritional index ratio after hip fracture surgery in the elderly population.

Hanru Ren1, Lianghao Wu1, Wankun Hu1, Xiuzhang Ye1, Baoqing Yu1.   

Abstract

BACKGROUND: More and more older patients receive the surgery after hip fracture. However, the mortality rate is high. Prognostic nutritional index (PNI) is associated with prognosis in hip fracture patients. In the current study, we proposed a novel prognostic score, named c-reactive protein/PNI ratio (CRP/PNI ratio), for predicting the prognosis for geriatric orthopedic population.
METHODS: This is a prospective study. Eighty cases of hip fracture surgery in the elderly population were studied to reveal the relationship between the CRP/PNI ratio and the clinicopathological characteristics of the elderly patients. Clinical data included age, sex, weight, length of stay, duration of surgery, comorbidity, and biological data were collected. The primary endpoint was the 1-year mortality rate.
RESULTS: Cox regression and log-rank tests were used to evaluate the correlation of CRP/PNI to the one-year mortality. The one-year mortality rate was low in the patients with a low CRP/PNI ratio (P < 0.001). Univariate and multivariate survival analyses proved that CRP/PNI was an important factor to predict the one-year mortality rate of the geriatric hip fracture surgery patients.
CONCLUSION: Low CRP/PNI ratio was significantly associated with low one-year mortality rate in older patients after hip fracture surgery.

Entities:  

Keywords:  C-reactive protein/prognostic nutritional index; elderly population; hip fracture; mortality

Year:  2017        PMID: 28977869      PMCID: PMC5617429          DOI: 10.18632/oncotarget.18135

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Hip fracture is a fracture of the upper part of the femur, and has high incidence in the elderly [1]. Hip fractures in aged people leads to high mortality, high risk of postoperative complication, and impaired quality of life [2-5]. The mortality is increased from 8.4% to 36% in the first postoperative year [6]. The risk factors for mortality following hip fracture surgery was demonstrated in some studies [7], we hope to reveal the clinically relevant biomarkers to evaluate prognosis and complication events. It has been reported that serum albumin level and lymphocyte count served as an independent prognostic factor in hip fracture patients [8]. The prognostic nutritional index (PNI) is calculated by the serum albumin concentration and the peripheral blood lymphocyte count [9]. Albumin is an indicator of nutritional status which is correlated with post-operative complications [10]. The PNI can be used to assess the immunological and nutritional status of surgery patients [11], and estimated according to the following formula: 10 × serum albumin (g/dL) + 0.05 total lymphocyte count (/mm3) [12]. C-reactive protein (CRP) is an inflammatory marker which is closely related to the infections and outcomes in orthopaedics [13]. And PNI is associated with cancer mortality and has a prognostic value [14]. The correlation of CRP/PNI ratio and mortality after hip fracture surgery, especially in elderly population remains unknown. This study is aim to evaluate the predictive value of CRP/PNI ratio in elderly patients after orthopedic surgery, and compare it with clinical variables.

RESULTS

We estimated the CRP/PNI ratio in 80 patients, 35 (43.75%) of whom were men and 45 (56.25%) were women. The results are presented in Figure 1 and summarized in Table 1; the mean CRP and PNI were 11.3 ± 9.6 mg/L and 41.3 ± 11.0, respectively. An inverse correlation was found between CRP and PNI with a correlation coefficient of -0.761 which was shown in Figure 1 (P =0.016). The relationships between the CRP/PNI ratio and clinical characteristics were shown in Table 1. Based on the receiver operating characteristics (ROC) analyses, the best cut-off value of CRP/PNI ratio was 0.10. Then, patients were divided into two groups: patients with CRP/PNI ratio ≤0.10 and patients with CRP/PNI ratio >0.10. There were 42 (52.5%) patients with CRP/PNI ratio ≤0.10 and 38 (47.5%) patients with CRP/PNI ratio >0.10. CRP/PNI ratio is correlated significantly with CRP (P <0.001), leukocytosis (P =0.003), lymphocyte counts (P <0.001), hypoalbuminemia (P =0.001), PNI (P <0.001) and survival (P <0.001), but no relationships were found between CRP/PNI ratio and other factors such as comorbidity, platelet count and anemia.
Figure 1

Pearson correlation

A signifcant negative correlation between CRP and PNI (r=-0.761, P =0.016). CRP: C-reactive protein; PNI: prognostic nutritional index.

Table 1

The CRP/PNI ratio and clinicopathological parameters

Case(n)CRP/PNI ratiop Value
≤ 0.10> 0.10
Age (years)86±585±787±30.192
Men3518170.301
Weight (kg)62 (49–78)61 (45–74)63 (55–78)0.762
Length of stay (day)7 (5–14)6 (5–10)9 (6–14)0.162
Duration of surgery (min)140 (111–170)140 (111–170)140 (111–170)0.912
Comorbidity
 Diabetes mellitus3417170.684
 Cardiovascular disease2413110.726
 Hypertension6332310.710
 Renal disefficiency211290.691
CRP, mg/L
 <10433940.000*
 ≥1036234
Platelet count,/mm3
 <2144318250.067
 ≥214372413
Leukocytosis
 Yes269170.033*
 No543321
Anemia
 Yes4225170.262
 No381721
Lymphocyte counts,/mm3
 <16734331120.000*
 ≥1673371126
Hypoalbuminemia
 Yes282620.001*
 No521636
PNI
 <44391380.000*
 ≥4441410
Survival status
 Dead413380.000*
 Alive39390

CRP: C-reactive protein; PNI: prognostic nutritional index; * P<0.05 is considered significant.

Pearson correlation

A signifcant negative correlation between CRP and PNI (r=-0.761, P =0.016). CRP: C-reactive protein; PNI: prognostic nutritional index. CRP: C-reactive protein; PNI: prognostic nutritional index; * P<0.05 is considered significant. Concerning survival, only 3 of 42 (7.1 %) patients in the CRP/PNI ratio ≤0.10 group died versus 38 of 38 (100.0 %) in the CRP/PNI ratio >0.10 group (Table 2). The survival was significantly influenced by only CRP (P <0.001), lymphocyte counts (P =0.013), hypoalbuminemia (P =0.002), PNI (P <0.001) and CRP/PNI ratio (P <0.001), while all variables were compared separately to survival status (Table 2). In univariate analysis, the Kaplan–Meier survival curves showed to no significant relationship between platelet count, leukocytosis, anemia and survival. The Kaplan–Meier survival curves of low CRP/PNI ratio versus high CRP/PNI ratio showed a highly significant separation (P <0.001, Figure 2C). Furthermore, patients with high CRP (P <0.001, Figure 2A) or low PNI (P <0.001, Figure 2B) were also related to the poor 1-year survival, respectively. When a multivariate Cox proportional hazard model was constructed (including age, duration of surgery, weight, length of stay, sex, CRP, PNI, platelet count, leukocytosis, anemia, lymphocyte counts, hypoalbuminemia and CRP/PNI ratio), the CRP/PNI ratio was the strongest independent predictor of survival (Table 3).
Table 2

Survival status and clinicopathological parameters in 80 specimens

Case(n)Survival statusp Value
Dead=41Alive=39
Age (years)86±587±585±40.059
Men3519160.142
Weight (kg)62 (49–78)60 (49–72)63 (50–78)0.699
Length of stay (day)7 (5–14)8 (6–14)7 (5–12)0.734
Duration of surgery (min)140 (111–177)146 (112–177)139 (111–168)0.209
Comorbidity
 Diabetes mellitus3420140.550
 Cardiovascular disease2413110.673
 Hypertension6333300.897
 Renal disefficiency2111100.803
CRP, mg/L
 <10437360.000*
 ≥1036342
Platelet count,/mm3
 <2144326170.116
 ≥214371522
Leukocytosis
 Yes261790.098
 No542430
Anemia
 Yes4218240.125
 No382315
Lymphocyte counts,/mm3
 <16734313300.013*
 ≥167337289
Hypoalbuminemia
 Yes282620.002*
 No521537
PNI
 <44393900.000*
 ≥4442230
CRP/PNI
 ≤ 0.10423390.000*
 > 0.1038380

CRP: C-reactive protein; PNI: prognostic nutritional index; * P<0.05 is considered significant.

Figure 2

Kaplan-Meier survival curves stratifed by CPR, PNI and CRP/PNI ratio

(A and B) Patients with elevated CRP (P <0.001) or decreased PNI (P <0.001) were associated with decreased 1-year survival, respectively. (C) Patients with CRP/PNI ratio ≤0.10 had a better 1-year survival than patients with CRP/PNI ratio >0.10 (P <0.001). CRP: C-reactive protein; PNI: prognostic nutritional index.

Table 3

Contribution of various potential prognostic factors to survival by Cox regression analysis in 80 specimens

Hazard ratio95 % CIP
Age(years)1.50.775∼2.4300.158
Duration of surgery (min)0.70.341∼3.7760.342
Weight (kg)1.80.656∼3.1670.782
Length of stay (day)0.20.096∼2.0340.053
Sex1.90.127∼3.9070.102
CRP, mg/L3.31.337∼8.7370.054
PNI0.20.028∼0.6500.067
Platelet count,/mm32.00.672∼6.1010.210
Leukocytosis0.90.313∼2.8600.922
Anemia1. 30.432∼3.8110.653
Lymphocyte counts,/mm32.11.093∼6.1070.059
Hypoalbuminemia1.40.897∼3.3570.072
CRP/PNI8.11.806∼36.2160.006*

CRP: C-reactive protein; PNI: prognostic nutritional index; CI: confidence interval; statistical analyses were performed by the log-rank test; * P<0.05 is considered significant.

CRP: C-reactive protein; PNI: prognostic nutritional index; * P<0.05 is considered significant.

Kaplan-Meier survival curves stratifed by CPR, PNI and CRP/PNI ratio

(A and B) Patients with elevated CRP (P <0.001) or decreased PNI (P <0.001) were associated with decreased 1-year survival, respectively. (C) Patients with CRP/PNI ratio ≤0.10 had a better 1-year survival than patients with CRP/PNI ratio >0.10 (P <0.001). CRP: C-reactive protein; PNI: prognostic nutritional index. CRP: C-reactive protein; PNI: prognostic nutritional index; CI: confidence interval; statistical analyses were performed by the log-rank test; * P<0.05 is considered significant. The areas under the curve (AUC) was 0.998 for CRP/PNI ratio (95% CI: 0.000-1.000, P <0.001), 0.928 (95% CI: 0.861-0.990, P <0.001) for CRP and 0.953 (95% CI: 0.002-0.996, P <0.001) for PNI. Our results indicated that the CRP/PNI ratio was superior to the CRP or PNI (Figure 3) for the older patients after hip fracture surgery.
Figure 3

Comparison of the AUC for ROC curves

The AUC of the CRP/PNI ratio was higher than other CRP or PNI, indicating that the CRP/PNI ratio was superior to the CRP or PNI for prognosis. CRP: C-reactive protein; PNI: prognostic nutritional index; AUC: area under curve; ROC: receiver operating characteristics.

Comparison of the AUC for ROC curves

The AUC of the CRP/PNI ratio was higher than other CRP or PNI, indicating that the CRP/PNI ratio was superior to the CRP or PNI for prognosis. CRP: C-reactive protein; PNI: prognostic nutritional index; AUC: area under curve; ROC: receiver operating characteristics.

DISCUSSION

Because of the poor prognosis of acute surgery in elderly patients, biomarkers in clinical management of these patients are important. In our study, CRP/PNI ratio was used as an independent prognostic factor for elderly patients after orthopedic surgery. And this is the first study which examined the prognostic value of CRP/PNI ratio for elderly patients after orthopedic surgery. Infection or traumas has a strong relationship with inflammation. Previous data have shown that CRP is a sensitive and non-specific inflammatory marker of human infection or traumas [15]. CRP is proved to be very useful in diagnosis and functioned as a monitor of infections in orthopaedics [13]. A retrospective analysis conducted by Kim et al. [15] revealed that preoperative CRP was an independent risk factor for 1-year mortality after hip fracture surgery in the elderly. In our current research, these patients with low CRP levels (≤10.0 mg/L) had better survival than those with CRP >10.0 mg/L (83.7% vs. 5.6%, P <0.001). Regrettably, in the multivariate analyses, there was no evidence to prove that CRP was an independent prognostic factor (P =0.054). The PNI was designed to assess the immunologic and nutritional aspects of surgical patients [16], and calculated by the serum albumin concentration and the lymphocyte count in the peripheral blood [17]. Hypoalbuminemia served as a potential preoperative predictor of outcomes [18]. Lu et al. showed that a lower serum albumin level and total lymphocyte count were important risk factors to predict the one-year mortality of elderly patients with fracture [19]. However, few studies focused on PNI in elderly patients after hip fracture surgery. In our data, PNI was not an independent prognostic factor (P =0.067). As CRP and PNI are affected by various conditions, the CRP/PNI ratio could therefore reduce the potential bias. The prognostic value of CRP/PNI ratio is better than CRP or PNI in elderly patients after hip fracture surgery. In this study, the CRP/PNI ratio has been investigated to assess the outcomes of the elderly patients after hip fracture surgery. Patients with low CRP/PNI ratio had a longer median survival time than those with high CRP/PNI ratio (88.6% vs. 0%, P <0.001). CRP/PNI ratio has been demonstrated as an important predictive factor of 1-year survival by multivariate analyses (P=0.006). The CRP/PNI ratio had not been investigated before in hip fracture surgery patients before, especially in elderly patients. This is the first time to elucidate that CRP/PNI ratio is a predictor of hip fracture surgery in elderly patients. In our Cox regression model, multivariate analyses revealed that the CRP/PNI ratio was an independent prognostic factor. Our data showed that the AUC was higher in CRP/PNI ratio than CRP (0.928) or PNI (0.963) by ROC analyses. High levels of CRP/PNI ratio could help us to avoid adverse consequences. Patients will benefit from the CRP/PNI ratio, especially in the elderly patients. Nevertheless, several limitations should be paid attention in this study. Firstly, this study is a retrospective and single-institution study. Secondly, the number of patients was not adequate (n =80). Thence, larger prospective studies need to be carried out to confirm these preliminary results. In summary, current data indicate that CRP/PNI ratio is correlated with 1-year survival in elderly patients after hip fracture surgery. Based on these results, we believe that CRP/PNI ratio is a novel and useful predictive factor in elderly patients after hip fracture surgery.

MATERIALS AND METHODS

Patients

The data of 80 elderly patients after hip fracture surgery in Shanghai Pudong Hospital between 2015 and 2016 were collected in our study. The 70 years of age or older patients were included, and the patients were excluded if CRP, platelet count, leukocyte count, lymphocyte counts, hemoglobin and albumin measurements were lacking. Ethical approval was obtained for the study protocols and informed consents were obtained from each patient.

Data collection

We collected clinical data including age, sex, weight, length of stay, duration of surgery, comorbidity, biological data and survival time. The patients had been tested for serum CRP, platelet count, leukocyte count, lymphocyte counts, hemoglobin and albumin before surgery. At the same time, we carefully reviewed the associated comorbidities of these patients. The biological data were measured by automatic laser nephelometry (BN 100 analyzer, Germany). The normal values of CRP, platelet count, leukocyte count, lymphocyte counts, hemoglobin and albumin were 0–10 mg/L, 125–350 ×109/L, 3.5–9.5×109/L, 1.1–3.2 ×109/L, 110–175 ×109/L, 35–50 g/L, respectively.

Follow-up and endpoint

The mean follow-up period for these patients was 8.7 months (range: 3–12 months). All patients were followed up by phone monthly. The endpoint was mortality within one year.

Statistical analysis

All statistical analyses were used the SPSS version 22.0 statistical software. The association between CRP and PNI were studied using the Spearman rank correlation test Survival analysis. For analysis of survival data, Kaplan-Meier curves were constructed, and the log-rank test was used for analysis. Univariate and multivariate analyses were performed using Cox’s proportional hazards model. Differenceswere considered statistically significant when P value was less than 0.05.
  19 in total

Review 1.  Medical care of elderly patients with hip fractures.

Authors:  J M Huddleston; K J Whitford
Journal:  Mayo Clin Proc       Date:  2001-03       Impact factor: 7.616

Review 2.  C-Reactive Protein in Orthopaedic Surgery.

Authors:  M Neumaier; K F Braun; G Sandmann; S Siebenlist
Journal:  Acta Chir Orthop Traumatol Cech       Date:  2015       Impact factor: 0.531

3.  Excess mortality after hip fracture in elderly persons from Europe and the USA: the CHANCES project.

Authors:  M Katsoulis; V Benetou; T Karapetyan; D Feskanich; F Grodstein; U Pettersson-Kymmer; S Eriksson; T Wilsgaard; L Jørgensen; L A Ahmed; B Schöttker; H Brenner; A Bellavia; A Wolk; R Kubinova; B Stegeman; M Bobak; P Boffetta; A Trichopoulou
Journal:  J Intern Med       Date:  2017-01-17       Impact factor: 8.989

4.  Prognostic nutritional index in gastrointestinal surgery.

Authors:  G P Buzby; J L Mullen; D C Matthews; C L Hobbs; E F Rosato
Journal:  Am J Surg       Date:  1980-01       Impact factor: 2.565

5.  Prognostic nutritional index: a tool to predict the biological aggressiveness of gastric carcinoma.

Authors:  Tadahiro Nozoe; Mizuki Ninomiya; Takashi Maeda; Akito Matsukuma; Hideaki Nakashima; Takahiro Ezaki
Journal:  Surg Today       Date:  2010-04-28       Impact factor: 2.549

6.  Assessment of malnutrition in hip fracture patients: effects on surgical delay, hospital stay and mortality.

Authors:  Panagiotis D Symeonidis; David Clark
Journal:  Acta Orthop Belg       Date:  2006-08       Impact factor: 0.500

Review 7.  Excess mortality following hip fracture: a systematic epidemiological review.

Authors:  B Abrahamsen; T van Staa; R Ariely; M Olson; C Cooper
Journal:  Osteoporos Int       Date:  2009-05-07       Impact factor: 4.507

8.  C-reactive protein is an independent predictor for 1-year mortality in elderly patients undergoing hip fracture surgery: A retrospective analysis.

Authors:  Byung-Gun Kim; Young-Kyun Lee; Hee-Pyoung Park; Hye-Min Sohn; Ah-Young Oh; Young-Tae Jeon; Kyung-Hoi Koo
Journal:  Medicine (Baltimore)       Date:  2016-10       Impact factor: 1.889

9.  Preoperative prognostic nutritional index predicts postoperative surgical site infections in gastrointestinal fistula patients undergoing bowel resections.

Authors:  Qiongyuan Hu; Gefei Wang; Jianan Ren; Huajian Ren; Guanwei Li; Xiuwen Wu; Guosheng Gu; Ranran Li; Kun Guo; Youming Deng; Yuan Li; Zhiwu Hong; Lei Wu; Jieshou Li
Journal:  Medicine (Baltimore)       Date:  2016-07       Impact factor: 1.889

10.  Loss of health related quality of life following low-trauma fractures in the elderly.

Authors:  Jean-Eric Tarride; Natasha Burke; William D Leslie; Suzanne N Morin; Jonathan D Adachi; Alexandra Papaioannou; Louis Bessette; Jacques P Brown; Louisa Pericleous; Sergei Muratov; Robert B Hopkins
Journal:  BMC Geriatr       Date:  2016-04-19       Impact factor: 3.921

View more
  5 in total

1.  The Association of On-Admission Blood Hemoglobin, C-Reactive Protein, and Serum Creatinine With 2-Year Mortality of Patients With Femoral Neck Fractures.

Authors:  Arkan Sayed-Noor; Bariq Al-Amiry; Alan Alwan; Björn Knutsson; Björn Barenius
Journal:  Geriatr Orthop Surg Rehabil       Date:  2021-08-18

2.  Preoperative malnutrition as an independent risk factor for the postoperative mortality in elderly Chinese individuals undergoing hip surgery: a single-center observational study.

Authors:  Long Feng; Wenji Chen; Ping Ping; Tao Ma; Yang Li; Longhe Xu; Zeguo Feng; Yali Zhao; Shihui Fu
Journal:  Ther Adv Chronic Dis       Date:  2022-06-27       Impact factor: 4.970

3.  Systemic immune-inflammation index independently predicts poor survival of older adults with hip fracture: a prospective cohort study.

Authors:  Zhi-Cong Wang; Wei Jiang; Xi Chen; Ling Yang; Hong Wang; Yue-Hong Liu
Journal:  BMC Geriatr       Date:  2021-03-04       Impact factor: 3.921

4.  The need for nutritional assessment and interventions based on the prognostic nutritional index for patients with femoral fractures: a retrospective study.

Authors:  Miao He; Qinghong Fan; Yuhang Zhu; Dexing Liu; Xingxing Liu; Shan Xu; Jiachen Peng; Zhaoqiong Zhu
Journal:  Perioper Med (Lond)       Date:  2021-12-20

5.  High platelet-to-lymphocyte ratio predicts poor survival of elderly patients with hip fracture.

Authors:  Zhicong Wang; Hong Wang; Ling Yang; Wei Jiang; Xi Chen; Yuehong Liu
Journal:  Int Orthop       Date:  2020-09-28       Impact factor: 3.075

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.