Literature DB >> 32245389

Serum albumin level predicts survival after surgical treatment of metastatic femur fractures: a retrospective study.

David Shaoen Sim1,2, Suraya Zainul-Abidin3, Eileen Yilin Sim3, Chu Sheng Seng3, Shern-En Evan Tan3, Mann Hong Tan3, Tet Sen Howe3, Joyce Suang Bee Koh3.   

Abstract

BACKGROUND: Surgical treatment for metastatic pathological femur fractures is associated with high mortality. Correct estimation of prognosis helps in determining the palliative value of surgical treatment and informs surgical decision. This study evaluates the risk factors for mortality in these patients who were surgically treated.
METHODS: This is a retrospective study of 112 patients with surgical treatment of metastatic pathological femur fractures. Risk factors evaluated included age, ASA status, Charlson comorbidity index, preoperative serum albumin and haemoglobin, primary tumour site, presence of visceral metastases, presence of spinal metastases, time from diagnosis of cancer to occurrence of pathological fracture, type of surgical procedure performed, lesion and whether treatment was received for an actual or impending fracture. A Cox regression model was used to determine if these factors were independent significant factors for survival.
RESULTS: Mortality at 2 years after surgical treatment of metastatic femoral fractures was 86%. Cox regression analysis of risk factors revealed that preoperative serum albumin and type primary tumour were independent risk factors for mortality. Presence of visceral metastases was strongly correlated to serum albumin levels.
CONCLUSION: Preoperative serum albumin level and primary tumour site are independent risk factors of survival in patients treated for pathological femur fractures. Serum albumin level may be used as a prognostic tool to guide treatment in this cohort of patients with high mortality rates.

Entities:  

Keywords:  Albumin; Metastatic femur fracture; Risk factor; Survival

Mesh:

Substances:

Year:  2020        PMID: 32245389      PMCID: PMC7118955          DOI: 10.1186/s13018-020-01632-7

Source DB:  PubMed          Journal:  J Orthop Surg Res        ISSN: 1749-799X            Impact factor:   2.359


Background

Longer survival times of cancer patients increase the risk of cancer-related complications such as pathological fractures of the appendicular skeleton including the femur. Primaries from paired structures such as the breast, prostate, lungs, thyroid and kidneys are known to metastasise to bone commonly, with the femur being the most likely long bone to be affected by bony metastasis (44%) [1]. Patients with metastatic pathological femur fractures are associated with higher mortality rates of 60–83% at 1-year and 70–94% at 2 years after surgical treatment [2-9] compared with the 1-year mortality rate of about 12 to 37% for traumatic hip fractures [10]. Nevertheless, surgical intervention may be necessary to restore function and provide pain relief. Many of these patients are at the terminal stage of the disease and any treatment would be at best palliative. Orthopaedic surgeons are faced with a difficult choice regarding the palliative value of surgical intervention for pathological femoral fractures. These patients are often medically compromised and have uncertain prognosis. There is also a lack of evidence-based data to guide treatment strategy and results are uncertain [11]. Nevertheless, life expectancy is one of the most important factors amongst orthopaedic surgeons when deciding whether to operate on patients with femoral metastases and what method of surgical intervention to utilise if the decision to operate is made [11]. Goal of palliative treatment is to maximise patients’ welfare and quality of life in their remaining days and accurate assessment of their survival is needed to prevent unnecessary invasive procedures which may not be beneficial to patients [12]. Some risk factors for mortality have been identified including site of primary tumour [2-8] and preoperative functional status [2, 6–8] in the literature. However, there is no strong consensus on the other risk factors for survival in patients with metastatic pathological femur fractures. Many studies have tried to predict survival and identify risk factors in patients with skeletal metastases including upper and lower limb metastases [2, 4, 6–8], but few look at femoral fractures in isolation [5, 9]. Other studies only limited their scope to a particular type of surgery i.e. arthroplasty [4, 7] or intramedullary nail [9]. Estimation of survival by physicians is frequently inaccurate and prognostic tools have been shown to lead to more accurate estimation. This would help aid decision-making by surgeons and patients especially for patients with mid-term estimations [12]. The most recent and comprehensive are the updated models of Katagiri et al. [13] and model by Forsberg et al. [3] However, only the model by Forsberg et al. has been validated in several small external cohorts and a recent survey shows that utilisation of these models could be improved [12]. Nevertheless, this study hopes to contribute to this body of literature by studying trends and risk factors for survival in our relatively large patient cohort in our institution who has received surgical treatment for metastatic pathological fractures, and by doing so better inform surgical decision-making.

Methods

This is a retrospective study of prospectively collected data in our hospital surgical registry. Patients who sustained and were surgically treated for metastatic pathological femur fractures between 2007 and 2014 were identified. Only patients with histological proof of metastases as well as available mortality data at 2 years were subsequently included. Patients with primary bone tumours and patients with known cancer with negative histology for malignancy were excluded from this study. Decision to operate on these patients was made by a multidisciplinary team comprising oncologists, orthopaedic surgeons and musculoskeletal radiologists. Patientsmortality data and clinical information were then retrieved from electronic patient records. Factors evaluated included age of surgery, American Society of Anaesthesiologists Physical Status score (ASA), Charlson comorbidity index score (CCI), laboratory data including preoperative serum albumin and haemoglobin values, site of primary tumour, presence of visceral or spinal metastases, time from diagnosis of cancer to occurrence of metastatic pathological fracture, type of surgical procedure performed, site of fracture and whether treatment was received for an actual or impending fracture. Age, time of cancer diagnosis to treatment of pathological fracture and laboratory data such as serum albumin and serum haemoglobin based on routine preoperative assessment for surgery were treated as continuous variables. ASA scores were divided into two groups: ASA 1 and 2 and ASA 3 and 4. For CCI, as all patients had malignancy, weights were not assigned to the cancer diagnosis, and the scores were also divided into two groups (CCI of 0 and CCI ≥ 1). Oncologic diagnosis was divided into five groups—the top 4 primary cancers in our population (lung, breast, prostate and renal) and other sites. Presence of visceral metastases (lung, liver, adrenals and kidney and other organs) and spinal metastases were confirmed by computed tomography scan of the thorax, abdomen and pelvis or by nuclear bone scan imaging. All scans were reviewed by a consultant radiologist and the consultant orthopaedic surgeon. The type (actual or impending) and location of fracture (divided into neck of femur, intertrochanteric/subtrochanteric and shaft/distal femur) was confirmed by plain radiograph. Surgeries performed included joint replacement with bipolar hemiarthroplasty and fixation with intramedullary nail or plate and screws.

Statistical analysis

Univariate analysis logistic regression using Cox proportional-hazards model was performed on the above variables to determine if they were risk factors for mortality after treatment for pathological femur fractures. Statistical significance was defined as a P value of ≤ 0.05. The various variables that were found to be significant factors after univariate analysis (P < 0.05) for survival were entered into a Cox regression model with a backward stepwise approach. Remaining variables were considered to be significant risk factors if their odds ratio was significant at P < 0.05 after multiple regression analysis. All statistical analyses were performed using SPSS, version 21 (SPSS Inc., Chicago, IL).

Results

One hundred fourteen patients who underwent treatment for metastatic pathological fractures in our institution were identified and only 112 of these patients had available 2-year follow-up with 117 femurs operated on. Two patients were excluded as their mortality data were unavailable. The patient demographics for this study are presented in Table 1.
Table 1

Patient demographics

DescriptionDetails
No. of patients (male:female)112 (45:67)
No. of femurs117 (5 bilateral cases)
Age of surgery65.5 (54.3–71.8)
ASA status (1 and 2:3 and 4)51:61
CCI (0:≥ 1)71:41
Albumin32 (28–36)
Haemoglobin (Hb)11.5 (10.2–12.9)
Site of primary tumourBreast33(30%)
Prostate10(9%)
Lung29(26%)
Renal10(9%)
Others30(27%)
Presence of visceral metastases (yes:no)65:47
Presence of spinal metastases (yes:no)82:30
Time of diagnosis of cancer to incidence of pathological fracture (months)14 (2–48)
Pathology (Actual fracture:impending fracture)61:51
Site of fracture/lesionNeck of femur37
Intertrochanteric20
Subtrochanteric27
Shaft/distal femur33
Type of surgical procedureBipolar hemiarthroplasty27
Intramedullary nail79
Plate and screws11

Median values and interquartile ranges reported for age, albumin, haemoglobin and time of diagnosis of cancer to incidence of pathological fracture

Patient demographics Median values and interquartile ranges reported for age, albumin, haemoglobin and time of diagnosis of cancer to incidence of pathological fracture Median survival for the whole study was 185 days (range 5–> 730 days, the lower and upper quartiles are 60 and 554 days respectively), while Kaplan-Meier mortality estimates were 50%, 67% and 86% at 6 months, 1 year and 2 years respectively.

Univariate analysis of risk factors

Univariate analysis identified serum albumin, serum haemoglobin, site of primary tumour, presence of visceral metastases and time from diagnosis of cancer to incidence of pathological fracture as risk factors for survival after treatment (Table 2).
Table 2

Univariate analysis of risk factors of survival using Cox regression

VariableHazard ratio95% CIP valueReference/remarks
Age of surgery1.0080.992–1.0240.333For every year increase in age
ASA status (2:3)1.5061.004–2.2570.480ASA 3 against ASA 2
CCI (0:≥1)1.2410.822–1.8730.305No comorbidities against CCI ≥ 1
Albumin1.1001.062–1.139< 0.001For every 1 g/L decrease
Haemoglobin (Hb)1.1591.028–1.3070.016For every 1 g/dL decrease
Site of primary tumourLung as reference
Breast0.3940.223–0.6970.001
Prostate0.4260.192–0.9450.036
Renal0.7580.356–1.6150.473
Others1.1280.667–1.9070.653
Presence of visceral metastases (yes:no)1.6751.110–2.5350.014Visceral metastasis present against absent
Presence of spinal metastases (yes:no)1.0710.678–1.6890.769Spinal metastasis present against absent
Time from diagnosis of cancer to incidence of pathological fracture0.9950.992–0.9990.016For every month between diagnosis of cancer to fracture
Pathology (actual fracture:impending fracture)1.1850.791–1.7740.411Treatment of actual fracture against treatment of impending fracture
Site of fracture/lesionShaft/distal femur as reference
Neck of femur0.7220.427–1.2210.224
Intertrochanteric/subtrochanteric0.8330.511–1.3600.4655 bilateral cases excluded
Type of surgical procedure (bipolar hemiarthroplasty:intramedullary nail)0.8540.521–1.4010.533

Bipolar against nail

15 cases excluded (10 plate and screws and 5 bilateral)

Univariate analysis of risk factors of survival using Cox regression Bipolar against nail 15 cases excluded (10 plate and screws and 5 bilateral) Age, gender, ASA, CCI, serum haemoglobin levels, presence of spinal metastases, whether the fracture was actual or impending, site of fracture/lesion and type of surgical procedure performed were not significant risk factors for survival.

Multivariate analysis of risk factors

However, Cox regression analysis of risk factors revealed that preoperative serum albumin (hazard ratio for every 1 g/L decrease in albumin = 1.096, 95% CI [1.0.58–1.137], P < 0.001) and site of primary tumour (hazard ratio of breast cancer over lung cancer = 0.468, 95% CI [0.264–0.829], P < 0.009) were independent risk factors for survival (Table 3). Figure 1 shows the Kaplan-Meier survival estimate of our study group stratified according to the degree of hypoalbuminemia, while Fig. 2 shows the Kaplan-Meier survival estimate according to the primary cancer site. One-year survival for patients with albumin > 35, 28–35 and < 28 as stratified using Child-Pugh score for liver cirrhosis were 63%, 27% and 8% respectively (Fig. 1). One-year survival for patients with breast, prostate, renal, lung and all other patients were 52%, 60%, 20%, 21%, 20% respectively (Fig. 2).
Table 3

Cox regression of multiple risk factors for mortality after treatment for pathological hip fractures

VariableHazard ratio95% CIP valueReference
Serum albumin1.0961.058–1.137< 0.001For every 1 g/L decrease
Primary cancerLung cancer
 Breast0.4680.264–0.8290.009
 Prostate0.5400.242–1.2070.133
 Renal0.7700.361–1.6410.499
 Others1.3890.841–2.3680.228
Fig. 1

Kaplan-Meier survival estimate according to the degree of hypoalbuminemia

Fig. 2

Kaplan-Meier survival estimate according to the primary cancer site

Cox regression of multiple risk factors for mortality after treatment for pathological hip fractures Kaplan-Meier survival estimate according to the degree of hypoalbuminemia Kaplan-Meier survival estimate according to the primary cancer site

Other findings

Out of all the risk factors in our study, only the presence of visceral metastases strongly correlates with albumin (P = 0.009) (Table 4).
Table 4

Comparison of albumin levels in patients with and without visceral metastases

Presence of visceral metastasesNumberMean albumin (g/L)Mean difference95% CIP value
NO4733.51 ± 4.522.76 ± 1.030.71–4.800.009
YES6530.75 ± 6.42
Comparison of albumin levels in patients with and without visceral metastases

Discussion

Mortality rates in this study group are consistent with literature. We report a 30-day mortality of 13.4% which is similar to that previously reported (2.6 to 12%) [14-16]. One-year and 2-year mortality in our patients were 67% and 85.7% respectively, compared to previously reported mortality rates of 60–83% at 1 year and 70–94% at 2 years [2-9]. Regarding short-term outcomes, poor ASA and functional status have been previously found to be significant risk factors for 30-day mortality [15]. Previous studies observed that patients who were underweight [14], had rapid-growth tumours, visceral metastases, internal fixation or no postoperative chemotherapy [15] have higher mortality at 30 days but results were not statistically significant. On the other hand, age, gender, blood loss, blood transfusion, duration of surgery, primary cancer type, major bony resection and CCI were not found to be related to survival [14-16]. Many studies had also investigated risk factors for longer-term survival. However, Sorenson et al. found that predictors of survival were inconsistent amongst previous studies and cited that the reason might be because these studies on patients undergoing surgical treatment for metastatic lesions exhibit a great extent of heterogeneity [7]. Furthermore, different primary cancers contribute unequally to the various study groups and other studies include metastatic lesions at other sites including shoulder and the spine with differing proportions. The common risk factor of survival across all studies is the site of the primary cancer leading to the pathological fracture. The link between primary site of cancer and long-term survival in patients with pathological femur fracture has been well-established [2-8]. Multivariate analysis of the risk factors for survival in this study demonstrates that patients with breast cancer have significantly better prognosis than patients with lung cancer. Other factors previously studied and found to be significant in at least one study include preoperative serum haemoglobin, presence of visceral metastases, presence of spinal metastases, presence of brain metastases, number of bony metastases, whether the fracture was an actual or impending fracture, duration from time of cancer diagnosis to incidence of pathological fracture, type of procedure performed, functional status, presence of adjuvant therapy and ASA status [2-8]. In this study, risk factors that were significant in univariate analysis but ultimately not found to be independent risk factors after multivariate analysis include serum haemoglobin, presence of visceral metastases and time from diagnosis of cancer to incidence of pathological fracture as risk factors for survival after treatment. Apart from site of primary cancer, serum albumin is the other independent risk factor for mortality in this study. Serum albumin is a readily available parameter to evaluate patient’s nutritional status [17] and provides useful prognostic significance in cancer survival [18] and traumatic hip fractures [19-21]. Preoperative serum albumin may be an indicator of patient’s ability to withstand surgical impact and early rehabilitation. It has also been shown to be useful for reducing complications in orthopaedic patients by allowing us to screen and treat those at risk [17]. Advantages of using serum albumin as a prognostic tool include the fact that it is a simple, inexpensive, and reproducible laboratory marker. Normal albumin levels have been found to correlate with higher survival in metastatic lesions at other body sites, such as the pelvis [22]. Few studies however have studied the role of albumin as a prognostic factor in pathological femoral fractures. Nathan et al. looked into the effect of albumin on survival after treatment of pathological femur fractures and found albumin significant only in univariate analysis and not after multivariate regression [2]. Katagiri et al. noted that even though laboratory data including albumin are known to be prognostic factors for some malignancies, they have not been sufficiently investigated as prognostic factors in the past [13]. Katagiri et al. demonstrated that laboratory data can be a significant prognostic factor and included albumin in their prediction model—patients with albumin < 37 g/L had poorer prognosis in their model [13]. This prognostic model was based largely on non-surgically treated patients and may not be applicable to potential surgical candidates [23]. Patients who present with an actual fracture or impending fracture requiring surgery are at a later stage of their malignancy and this may explain why the average serum albumin level in our study group with only surgical-treated patients is 32 g/L. Cox regression analysis in our study demonstrates worse prognosis for every 1 g/L decrease in albumin. This suggests that prognostic models may benefit from looking at the adverse effect that even lower levels of serum albumin have on prognosis; however, further studies are needed to fully validate this. Serum albumin may be a useful prognostic factor for survival and commonly utilised as an indicator for malnutrition. Nevertheless, there is limited evidence that nutritional supplementation may improve prognosis in patients with low serum albumin levels. Gupta et al. suggested that since low levels of serum albumin are linked with poorer outcome in cancer patients, serum albumin can perhaps be utilised as an independent indicator of the need for nutrition intervention [18]. Nevertheless, the study noted the absence of clinical trials demonstrating that raising albumin levels, by means of intravenous infusion or hyperalimentation, decreases the excess risk of mortality in cancer patients, and by extension, patients with metastatic femoral fractures. A Cochrane review also found minimal evidence to suggest that nutritional supplementation can reduce mortality in patients with hip fractures [24]. This study found a significant correlation between albumin and presence of visceral metastases. This finding needs to be validated by further studies. If so, serum albumin may be interpreted as an indicator of general physiological well-being, and its potential for optimization be limited by the presence of visceral metastasis. This study shows that there could be a role for albumin in prognostication of survival in patients with metastatic femur fractures. There may be value in measuring serum albumin routinely on admission to aid decision-making with regard to surgical treatment. Prudence is imperative before commencing surgical treatment on patients who have hypoalbuminaemia or are extremely cachectic and malnourished as they may not benefit from palliative surgery. Further research is required to determine if clinical scoring of prognosis to guide treatment in patients with metastatic pathological femur fractures will improve outcomes.

Limitations

This was a single-centre retrospective study using prospectively collected data with all the limitations inherent to such design. This study did not include patients who were treated non-surgically as records were only obtained from our hospital surgical registry. This study was unable to capture date on patient who underwent adjuvant treatment modalities including chemotherapy, hormonal therapy and radiotherapy, which may affect their survival. Data on the peri-operative functional outcomes which had been previously found to be significant risk factors for survival was not included in this study [2, 6, 7].

Strengths

This study represents a more homogenous cohort of pathological femur fractures compared to previous studies.

Conclusion

Preoperative serum albumin level and primary tumour site are independent prognostic factors of survival in patients treated for pathological femur fractures. Patients with breast cancer have a better prognosis compared to lung cancer patients. However, studies with higher number of patients are required to verify the prognostic role of albumin. Surgical treatment of metastatic femoral fractures in patients with hypoalbuminaemia should proceed with caution. Peri-op nutritional assessment and survival prognostication are pertinent for this subset of patients to guide treatment and affect clinical outcomes. Further clinical trials will be needed to ascertain if nutritional supplementation may be of benefit to patients with low albumin.
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