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Abstract

Study Design:

Retrospective cross-sectional study.

Objectives:

To determine if pre-operative albumin and CRP can predict post-operative infections after lumbar surgery.

Methods:

Patients who underwent an anterior lumbar interbody fusion (ALIF), posterior lumbar interbody fusion (PLIF), or lumbar discectomy were identified using a patient record database (PearlDiver) and were included in this retrospective study. Patients were stratified by Charlson Comorbidity Index (CCI) scores and pre-operative albumin and CRP status. Post-operative complications included deep infections and urinary tract infections within 3 months of the surgery and revisions within 1 year of the surgery.

Results:

74,280 patients were included in this study. 21,903 had pre-operative albumin or CRP lab values. 7,191 (33%), 12,183 (56%), and 2,529 (12%) patients underwent an ALIF, PLIF, and a lumbar discectomy, respectively. 16,191 did not have any complication (74%). The most common complication was UTI (16%). Among all patients, hypoalbuminemia was a significant risk factor for deep infection and UTI after ALIF, deep infection, UTI, and surgical revision after PLIF, and deep infection after lumbar discectomy. Elevated CRP was a significant risk factor for deep infection after ALIF, UTI after PLIF, and deep infection after lumbar discectomy in patients with a CCI ≤ 3.

Conclusions:

Pre-operative hypoalbuminemia and elevated CRP were significant risk factors for deep infection, UTI, and/or revision, after ALIF, PLIT, and/or lumbar discectomy. Future studies with a larger population of patients with low albumin and high CRP values are needed to further elaborate on the current findings.

Keywords

albumin CRP lumbar surgery complications

Introduction

The World Health Organization (WHO) has estimated that 4-33% of the world’s population suffers from low-back pain, the most prevalent musculoskeletal condition.¹ The total cost of low-back pain in the United States has been estimated to cost over 100 billion dollars per year with less than 5% of patients accounting for 75% of the total costs.² Additionally, a recent study states that the prevalence of elective lumbar fusion surgery increased from 60.4 per 100,000 US adults to 79.8 per 100,000 US adults between 2004 and 2015.³

Compared to conservative management, instrumentation surgery of the lumbar spine is associated with complication rates as high as 19%.⁴ Common post-operative complications of lumbar surgery include pseudarthrosis, hardware failures, radiculopathies, wound infections, and urinary tract infections.^4,5 Pre-operative risk factors include obesity, smoking history, diabetes mellitus, chronic obstructive pulmonary disease, osteoporosis, and malnutrition among others.^5-7

A widely used marker to assess malnutrition is albumin, which is also a well-studied marker of inflammation and chronic disease.^8-10 Previous studies have looked at preoperative values of hypoalbuminemia as markers for postoperative complications in lumbar spine procedures. In elderly Medicare patients receiving posterior lumbar interbody fusion (PLIF), poor nutritional status, as measured by albumin, within 3 months prior to surgery had more major medical complications within 90 days, a higher 1-year mortality rate, and increased infection and wound dehiscence.¹¹ Another study found that pre-operative hypoalbuminemia was significantly associated with an increased risk of operative mortality, any complication, sepsis, and prolonged length of stay among other complications after surgical decompression of spinal metastases.¹² In a study on adult lumbar deformity surgeries using the National Surgical Quality Improvement Program (NSQIP) database, hypoalbuminemia showed to be a risk factor for mortality, increased length of stay, any complications, and 30-day mortality.¹³ On the other hand, a single institution study demonstrated that a low preoperative albumin level may be a risk factor for surgical site infections (SSI) in spine surgeries overall, but it was not seen to be statistically significant.¹⁴ Additionally, a retrospective analysis of patients undergoing PLIF in the NSQIP database did not find low serum albumin to be a significant predictor of postoperative complications.¹⁵ However, another NSQIP database study showed a 4.8% incidence of hypoalbuminemia, which was also predictive of wound dehiscence and SSI.¹⁶ The relationship between hypoalbuminemia and poor outcomes is not fully understood. It is postulated to be related to low nutrition, decrease in vital functions, hyperinflammation.¹⁷ It may also be due to the hypermetabolic state associated with spinal cord injuries, which may be intensified after surgery.¹⁸

Another promising preoperative marker is C-reactive protein (CRP), a recognized marker of inflammation.¹⁹ Elevated postoperative CRP has been extensively studied as a predictive marker for infections and complications,^19-22 but the utility of preoperative CRP has not yet been fully explored in spine surgeries. Larger differences between preoperative and postoperative CRP was associated with a higher risk of postoperative complications in lumbar fusion procedures in a single center study.²³ A single center study that included all types of spinal surgery found that preoperative CRP was not shown to be predictive of postoperative SSI.¹⁵

Many of the existing studies investigating the relationship between pre-operative serum albumin or CRP levels and post-operative infections are single institution studies or do not analyze pre-operative serum albumin or CRP as risk factors after specific spine surgeries. Additionally, one challenge large retrospective database studies face is the ability to control for patient co-morbidities, as stratifying patients by their individual medical conditions would significantly reduce the sample size. One comprehensive and reliable metric to control for this is the Charlson Comorbidity Index (CCI) score, a cumulative score predicting 10-year survival factoring in patient age and history of various cardiac, pulmonary, and other comorbidities that is frequently used to stratify patient’s risk pre-operatively.²⁴ Therefore, this large, retrospective database study aimed to determine if albumin and CRP can be predictors of post-operative infections and revisions after anterior lumbar interbody fusion (ALIF), posterior lumbar interbody fusion (PLIF), or lumbar discectomy in a patient population stratified by CCI score.

Methods

In this retrospective database study, we hypothesized that patients with low pre-operative albumin or elevated pre-operative CRP would have increased post-operative complication rates including deep infection and UTI within 3 months of surgery and surgical revision within 1 year of surgery. Data was extracted using the Humana Insurance database within PearlDiver, which is a large database consisting of over 25 million Health Information Portability and Affordability Act compliant patient records spanning across private and public health insurance policies. All patients undergoing an ALIF, PLIF, or lumbar discectomy with pre-operative labs between January 1, 2007 and March 31, 2016 were selected for the study (Table 1). In accordance to CCI score classification with CCI scores of 1-2 being mild, 3-4 being moderate, and ≥ 5 being severe, patients were stratified into one group consisting of patients with a CCI ≤ 3 and the other with a CCI > 3.²⁵ Based on their pre-operative lab values, patients were further stratified into either a normal albumin (3.5-5.4 g/dL), low albumin (<3.5 g/dL), normal CRP (<1.0 mg/dL), or high CRP (≥ 1.0 mg/dL) group (Figure 1). In order to maintain patient anonymity, all groups returned by PearlDiver that had 11 or fewer patients did not report the specific number of patients.

Table 1.

CPT Codes Used.

Procedure	Anterior Lumbar Interbody Fusion	CPT-22 552, CPT-22 554, CPT-22 585
	Posterior Lumbar Interbody Fusion	CPT-22 612, CPT-22 630, CPT-22 633
	Lumbar Discectomy	CPT-22 533, CPT-22 558, CPT-22 586, CPT-22 857, CPT-22 224
Lab values	Albumin	LAB-54 347-0, LAB-10 385-3, LAB-1756-6, LAB-1751-7, LAB- 62-1, LAB-35 706-1, LAB-43 712-9
	CRP	LAB-11 039-5, LAB-14 634-0, LAB-1988-5, LAB-30 522-7, LAB-35 648-5, LAB-48 421-2, LAB-71 426-1, LAB-76 485-2, LAB-76 486-0
Complications	Deep infection	ICD-9-D-99 859, ICD-9-D-99 669, ICD-10-D-T8141XA, ICD-10-D-T8450XA, ICD-10-D-T8142XA, ICD-10-D-T8143XA, ICD-10-D-T8579XA, ICD-10-D-T8460XA, ICD-10-D-T8463XA, ICD-10-D-T847A
	UTI	ICD-9-D-5990, ICD-9-D-0980, ICD-9-D-1 00, ICD-9-D-V1302, ICD-9-D-99 664, ICD-9-D-1122, ICD-9-D-59 010, ICD-9-D-59 011, ICD-9-D-5902, ICD-9-D-59 080, ICD-9-D-59 081, ICD-9-D-5909, ICD-9-D-5950, ICD-9-D-5953, ICD-9-D-5954, ICD-9-D-59 589, ICD-9-D-5959, ICD-9-D-5970, ICD-9-D-59 780, ICD-10-D-N390, ICD-10-D-A5400, ICD-10-D-A5900, ICD-10-D-Z87440, ICD-10-D-T835113A, ICD-10-D-T8351XA, ICD-10-D-B3749, ICD-10-D-N10, ICD-10-D-N151, ICD-10-D-N12, ICD-10-D-N16, ICD-10-D-N159, ICD-10-D-N3000, ICD-10-D-N3001, ICD-10-D-N3030, ICD-10-D-N3031, ICD-10-D-N3080, ICD-10-D-N3081, ICD-10-D-N3090, ICD-10-D-3091, ICD-10-D-N340, ICD-10-D-N341, ICD-10-D-N342
	Revision	CPT-22 552, CPT-22 554, CPT-22 585, CPT-22 830, CPT-22 855, ICD-9-P-8130, ICD-9-P-8134:8139, ICD-10-P-0SW004Z, ICD-10-P-0SW008Z, ICD-10-P-0SW00AZ, ICD-10-P-0SW034Z, ICD-10-P-0SW03AZ, ICD-10-P-0SW038Z
Exclusion criteria	Fractures and neoplasm	ICD-9-D-85, ICD-9-D-2132, ICD-9-D-2380, ICD-9-D-2392, ICD-10-D-C7951, ICD-10-D-C7952, ICD-10-D-D480, ICD-10-D-D492, ICD-10-D-D166, ICD-9-D-80 500: ICD-9-D-80 509, ICD-9-D-80 510: ICD-9-D-80 518, ICD-9-D-80 600: ICD-9-D-80 609, ICD-9-D-80 610: ICD-9-D-80 619, ICD-10-D-S12000A: ICD-10-D-S12691A, ICD-10-D-S12000B: ICD-10-D-S12691B, ICD-10-D-S129XXAICD-10-D-S12000A: ICD-10-D-S12691A, ICD-10-D-S12000B: ICD-10-D-S12691B, ICD-10-D-S1 XXA

Figure 1.

Flow diagram of study design.

Complication rates for deep infection and urinary tract infection (UTI) within 3 months of surgery and surgical revisions within 1 year of surgery were measured for each group (Table 1). All odds ratios were calculated using the R statistical program through PearlDiver. Chi-square analysis was used to identify the significance of complication rates. 95% confidence intervals (CI) were calculated for all risk ratios by using an alpha level of P ≤ 0.05.

Results

A total of 74,280 patients were included in this study, of which, 21,903 (30%) had either pre-operative albumin or CRP measured within 3 months of surgery. 7,191 (33%), 12,183 (56%) and 2,529 (12%) patients had undergone an ALIF, PLIF, and lumbar discectomy, respectively. Furthermore, 3% (n = 746) of all patients with pre-operative albumin measured had low albumin and 5% (n = 1062) of all patients with pre-operative CRP had elevated CRP levels. 56% (n = 15,343) of all patients who underwent surgery had a CCI ≤ 3 and 74% (n = 16,191) of all patients did not have a complication (Tables 2 and 3). Patients with a CCI ≤ 3 were significantly less likely to have any post-operative complication compared to patients with a CCI > 3 (23.1% vs. 33.0%, respectively; P < 0.001).

Table 2.

Demographic Data for Patients With Pre-Operative Albumin.

Category		CCI ≤ 3						CCI > 3
Category		Normal albumin (number/%)			Low albumin (number/%)			Normal albumin (number/%)			Low albumin (number/%)
Sex	Male	5666 (41%)			134 (35%)			2635 (47%)			166 (45%)
Sex	Female	8149 (59%)			246 (65%)			3033 (53%)			200 (55%)
Procedure	ALIF	4646 (34%)			96 (25%)			1831 (32%)			110 (31%)
Procedure	PLIF	7589 (55%)			236 (62%)			3223 (57%)			209 (57%)
	Discectomy	1578 (11%)			48 (13%)			614 (11%)			47 (12%)
		Normal albumin (number / %)			Low albumin (number / %)			Normal albumin (number / %)			Low albumin (number / %)
		ALIF	PLIF	Discectomy	ALIF	PLIF	Discectomy	ALIF	PLIF	Discectomy	ALIF	PLIF	Discectomy
Age	20-24	< 11	< 11	< 11	0	0	0	0	0	0	0	0	0
	25-29	15 (0.3%)	25 (0.3%)	< 11	0	< 11	0	< 11	< 11	< 11	0	0	0
	30-34	43 (0.9%)	53 (0.7%)	25 (2%)	< 11	0	0	< 11	< 11	0	0	0	0
	35-39	111 (2%)	113 (2%)	47 (3%)	0	< 11	0	< 11	< 11	< 11	< 11	< 11	0
	40-44	266 (6%)	192 (3%)	59 (4%)	0	< 11	0	19 (1%)	27 (0.8%)	< 11	< 11	0	0
	45-49	477 (10%)	370 (5%)	128 (8%)	< 11	< 11	< 11	66 (4%)	48 (2%)	17 (3%)	< 11	0	< 11
	50-54	637 (14%)	613 (8%)	171 (11%)	< 11	16 (7%)	< 11	136 (7%)	115 (4%)	38 (6%)	< 11	< 11	< 11
	55-59	699 (15%)	824 (11%)	228 (14%)	14 (15%)	26 (11%)	< 11	195 (11%)	216 (7%)	45 (7%)	13 (12%)	16 (8%)	< 11
	60-64	689 (15%)	1038 (14%)	222 (14%)	19 (20%)	26 (11%)	< 11	254 (14%)	404 (13%)	107 (17%)	15 (14%)	23 (11%)	< 11
	65-69	865 (19%)	1830 (24%)	318 (20%)	19 (20%)	55 (23%)	< 11	393 (22%)	693 (22%)	118 (19%)	20 (18%)	39 (19%)	< 11
	70-74	587 (13%)	1523 (20%)	245 (16%)	11 (12%)	52 (22%)	< 11	400 (22%)	831 (26%)	135 (22%)	18 (16%)	48 (23%)	< 11
	75-79	252 (5%)	827 (11%)	106 (7%)	12 (13%)	34 (14%)	< 11	251 (14%)	571 (18%)	93 (15%)	23 (21%)	46 (22%)	< 11
	80-84	74 (2%)	319 (4%)	37 (2%)	< 11	16 (7%)	< 11	111 (6%)	281 (9%)	47 (8%)	11 (10%)	18 (9%)	< 11
	85-89	< 11	60 (0.8%)	< 11	< 11	< 11	< 11	27 (2%)	77 (2%)	14 (2%)	< 11	< 11	0
	≥ 90	< 11	35 (0.5%)	< 11	< 11	0	0	< 11	35 (1%)	< 11	0	< 11	< 11

< 11: 10 or fewer patients populated tdis bucket.

Table 3.

Demographic Data for Patients With Pre-Operative CRP.

Category		CCI ≤ 3						CCI > 3
Category		Normal CRP (number/%)			Low CRP (number/%)			Normal CRP (number/%)			Low CRP (number/%)
Sex	Male	163 (36%)			260 (38%)			65 (38%)			163 (42%)
Sex	Female	290 (64%)			417 (62%)			96 (62%)			222 (58%)
Procedure	ALIF	145 (32%)			209 (31%)			46 (29%)			108 (28%)
Procedure	PLIF	247 (55%)			366 (54%)			95 (59%)			218 (57%)
	Discectomy	61 (13%)			102 (15%)			20 (12%)			59 (15%)
		Normal CRP (number / %)			High CRP (number / %)			Normal CRP (number / %)			High CRP (number / %)
		ALIF	PLIF	Discectomy	ALIF	PLIF	Discectomy	ALIF	PLIF	Discectomy	ALIF	PLIF	Discectomy
Age	20-24	0	0	0	0	< 11	0	0	0	0	0	0	0
	25-29	0	< 11	0	0	0	0	0	0	0	0	0	0
	30-34	< 11	< 11	< 11	< 11	< 11	< 11	0	0	0	0	0	0
	35-39	< 11	< 11	< 11	< 11	< 11	< 11	0	0	0	0	< 11	0
	40-44	< 11	11 (5%)	< 11	< 11	< 11	< 11	0	< 11	0	< 11	< 11	< 11
	45-49	14 (10%)	15 (6%)	< 11	26 (12%)	20 (6%)	< 11	< 11	< 11	0	< 11	< 11	< 11
	50-54	17 (12%)	27 (11%)	< 11	18 (9%)	35 (10%)	17 (17%)	< 11	< 11	< 11	11 (10%)	12 (6%)	< 11
	55-59	22 (15%)	38 (15%)	12 (20%)	30 (14%)	40 (11%)	14 (14%)	< 11	< 11	0	15 (14%)	21 (10%)	< 11
	60-64	21 (15%)	28 (11%)	11 (18%)	43 (21%)	54 (15%)	18 (18%)	< 11	18 (19%)	< 11	16 (15%)	32 (15%)	12 (20%)
	65-69	28 (19%)	47 (19%)	13 (21%)	36 (17%)	77 (21%)	11 (11%)	< 11	23 (24%)	< 11	20 (19%)	43 (20%)	11 (19%)
	70-74	20 (14%)	40 (16%)	< 11	27 (13%)	82 (22%)	19 (19%)	15 (33%)	22 (23%)	< 11	24 (22%)	55 (25%)	< 11
	75-79	< 11	27 (11%)	< 11	20 (10%)	32 (9%)	< 11	< 11	11 (12%)	< 11	14 (13%)	32 (15%)	< 11
	80-84	< 11	< 11	< 11	< 11	14 (4%)	< 11	< 11	< 11	< 11	< 11	16 (7%)	< 11
	85-89	0	< 11	< 11	0	0	0	0	< 11	0	< 11	< 11	< 11
	≥ 90	0	0	0	0	0	0	0	0	< 11	0	< 11	< 11

< 11: 10 or fewer patients populated tdis bucket.

Hypoalbuminemic patients had a UTI complication rate as high as 40% and a deep infection rate as high as 17% in patients with a CCI > 3 who underwent lumbar discectomy and PLIF, respectively (Table 4). In patients with a CCI ≤ 3, hypoalbuminemic patients were at significant risk of having a UTI (OR 3.03, CI 1.39-6.37, P < 0.005) after ALIF and deep surgical site infection (OR 3.85, CI 2.63-5.56, P < 0.0001), UTI (OR 2.38, CI 1.82-3.13, P < 0.0001), and surgical revision (OR 2.44, CI 1.61-3.57, P < 0.0001) after PLIF (Table 5). Similarly, in patients with a CCI > 3, hypoalbuminemia was significant risk factor for UTI (OR 1.92, CI 0.93-3.85, P < 0.05) after ALIF, deep infection (OR 2.94, CI 1.96-4.35, P < 0.0001) and UTI (OR 1.52, CI 1.14-2.04, P < 0.005) after PLIF, and deep infection (OR 3.57, CI 1.25-10.00, P < 0.05) and UTI (OR 1.72, CI 0.89-3.33, P < 0.05) after lumbar discectomy (Table 6).

Table 4.

Complication Rates.

		CCI ≤ 3				CCI > 3
Procedure	Complication	Normal albumin (number/%)	Low albumin (number/%)	Normal CRP (number/%)	High CRP (number/%)	Normal albumin (number/%)	Low albumin (number/%)	Normal CRP (number/%)	High CRP (number/%)
ALIF	No complications	3808 (82%)	65 (68%)	115 (79%)	154 (74%)	1334 (73%)	65 (59%)	32 (70%)	73 (68%)
	Deep Infection	92 (2%)	*	*	14 (7%)	36 (2%)	*	*	*
	UTI	549 (12%)	22 (23%)	20 (14%)	35 (17%)	406 (22%)	38 (35%)	*	5 (23%)
	Revision	277 (6%)	*	*	17 (8%)	99 (5%)	*	*	11 (10%)
PLIF	No complications	5784 (76%)	133 (56%)	187 (76%)	232 (63%)	2137 (66%)	109 (52%)	59 (62%)	120 (55%)
	Deep Infection	332 (4%)	33 (14%)	20 (8%)	40 (11%)	202 (6%)	35 (17%)	*	24 (11%)
	UTI	1374 (18%)	75 (32%)	36 (15%)	93 (25%)	890 (28%)	74 (35%)	29 (31%)	79 (36%)
	Revision	279 (4%)	21 (9%)	12 (5%)	17 (5%)	139 (4%)	*	*	*
Lumbar Discectomy	No complications	1173 (74%)	26 (54%)	42 (69%)	62 (61%)	409 (67%)	22 (47%)	13 (65%)	37 (63%)
	Deep Infection	74 (5%)	*	*	16 (16%)	27 (4%)	*	*	*
	UTI	271 (17%)	12 (25%)	14 (23%)	21 (21%)	164 (27%)	19 (40%)	*	15 (25%)
	Revision	114 (7%)	*	*	11 (11%)	48 (8%)	*	*	*

*: 10 or fewer patients populated this bucket.

Table 5.

Odds Ratios Comparing Hypoalbuminemic Patients to Normo-Albumin Patients With a CCI ≤ 3.

Procedure	Complication	Odds ratio	Confidence interval (95%)	P- value
ALIF	No Complication	0.41	0.27-0.63	< 0.0001
	Deep Infection	3.85	0.74-8.54	0.005
	UTI	2.35	1.46-3.79	0.001
	Revision	1.98	1.04-3.75	> 0.05
PLIF	No Complication	0.41	0.32-0.54	< 0.0001
	Deep Infection	3.78	2.60-5.51	< 0.0001
	UTI	2.36	1.79-3.10	< 0.0001
	Revision	2.49	1.66-3.71	< 0.0001
Lumbar Discectomy	No Complication	0.43	0.24-0.78	0.007
	Deep Infection	4.01	1.81-8.86	0.003
	UTI	1.61	0.83-3.13	0.17
	Revision	1.96	0.68-5.60	0.23

Table 6.

Odds Ratios Comparing Hypoalbuminemic Patients to Normo-Albumin Patients With a CCI > 3.

Procedure	Complication	Odds ratio	Confidence interval (95%)	P- value
ALIF	No Complication	0.53	0.36-0.79	0.002
	Deep Infection	2.88	1.19-6.98	0.04
	UTI	2.08	1.39-3.11	0.001
	Revision	0.83	0.33-2.09	0.74
PLIF	No Complication	0.56	0.43-0.74	< 0.0001
	Deep Infection	3.01	2.04-4.44	< 0.0001
	UTI	1.56	1.17-2.08	0.003
	Revision	1.00	0.50-1.99	0.97
Lumbar Discectomy	No Complication	0.44	0.24-0.80	0.007
	Deep Infection	3.80	1.56-9.27	0.009
	UTI	1.85	1.00-3.40	> 0.05
	Revision	1.12	0.39-3.26	0.79

Patients with elevated CRP had UTI complication rates as high as 36% in patients with a CCI > 3 after undergoing PLIF. Deep infection had the second highest complication rate at 11% among patients with an elevated pre-operative CRP after PLIF. The revision rate for patients with elevated pre-operative CRP and a CCI > 3 after ALIF was 10%, the highest of all patient populations. Elevated CRP was a significant risk factor of having deep infection (OR 3.40, CI 0.96-12.05, P < 0.05) after ALIF, UTI (OR 1.85, CI 1.23-2.78, P < 0.005) after PLIF, and deep infection (OR 3.60, CI 1.00-12.90, P < 0.05) after lumbar discectomy in patients with a CCI ≤ 3 (Table 7). Furthermore, patients with a CCI > 3 and elevated pre-operative CRP were less likely to have no post-operative complications after PLIF compared to patients with normal pre-operative CRP but this was not statistically significant likely due to insufficient sample size (Table 8).

Table 7.

Odds Ratios Comparing Patients With Elevated CRP to Patients With Normal CRP Levels in Patients With CCI ≤ 3.

Procedure	Complication	Odds ratio	Confidence interval (95%)	P- value
ALIF	No Complication	0.77	0.47-1.26	0.29
	Deep Infection	3.40	0.96-12.05	0.04
	UTI	1.26	0.69-2.28	0.46
	Revision	1.22	0.56-2.64	0.63
PLIF	No Complication	0.79	0.56-1.12	0.18
	Deep Infection	1.32	0.76-2.30	0.33
	UTI	1.87	1.23-2.85	0.003
	Revision	0.84	0.50-1.40	0.50
Lumbar Discectomy	No Complication	0.83	0.42-1.63	0.60
	Deep Infection	3.60	1.00-12.90	0.04
	UTI	0.87	0.40-1.87	0.72
	Revision	1.05	0.29-3.74	0.96

Table 8.

Odds Ratios Comparing Patients With Elevated CRP to Patients With Normal CRP Levels in Patients With CCI > 3.

Procedure	Complication	Odds ratio	Confidence interval (95%)	P- value
ALIF	No Complication	0.91	0.43-1.92	0.82
	Deep Infection	1.29	0.25-6.66	0.80
	UTI	1.24	0.53-2.91	0.64
	Revision	1.19	0.36-3.95	0.81
PLIF	No Complication	0.69	0.42-1.13	0.14
	Deep Infection	2.23	0.82-6.03	0.11
	UTI	1.32	0.79-2.21	0.30
	Revision	0.86	0.31-2.37	0.76
Lumbar Discectomy	No Complication	0.84	0.28-2.51	0.77
	Deep Infection	1.21	0.23-6.37	0.87
	UTI	1.02	0.32-3.29	0.99

Discussion

In the current study low pre-operative albumin and elevated pre-operative CRP were statistically significant risk factors for deep surgical site infection, UTI, and/or surgical revision depending on the type of surgery. Generally, hypoalbuminemic patients were approximately 2 to 4 times as likely to have a deep surgical site infection, 1 to 3 times as likely to have a UTI, and almost 3 times as likely to undergo a revision within 1 year of PLIF. Likewise, patients with elevated pre-operative CRP were at similar increased risks for deep surgical site infection and UTI.

Hypoalbuminemia, despite little conflicting evidence,²⁶ is a reliable marker for assessing patient malnutrition^8,9 as well as inflammation and chronic disease.¹⁰ As a result, previous studies have investigated the effects of pre-operative serum albumin levels on operative mortality and morbidity.²⁷ Specifically within orthopedics, low pre-operative serum albumin levels are associated with greater morbidity, mortality, and length of stay after hip fracture,²⁸ greater superficial site and deep infection risk after spine surgery^29,30 and total joint arthroplasty,^29-31 and spine surgery revision.³²

Pre-operative hypoalbuminemia was previously reported as an independent risk factor for post-operative complications including but not limited to UTI, pneumonia, deep and superficial surgical site infections, and sepsis after elective and non-elective anterior or posterior spinal fusion.³³ Lakomkin et al. found that abnormal pre-operative albumin had an odds ratio of 2.52 for major post-operative complications including deep wound infections, organ space infections, and sepsis, among other complications, after posterolateral lumbar fusion and an odds ratio of 2.26 for minor complications, including superficial wound infections, pneumonia, UTI, and wound dehiscence.¹⁵ Looking at surgical site infection specifically, Liu et al. showed that both pre-operative and post-operative hypoalbuminemia were associated with increased risk of infection after posterior lumbar spinal surgery.³⁴ For anterior lumbar interbody fusions, low albumin had an odds ratio of 5.93 and 5.35 for UTI and sepsis, respectively, in a previously published study.³⁵ Finally, Bohl et al. calculated an adjusted risk ratio of 2.3 and 2.5 for surgical site infection and UTI, respectively, after posterior lumbar spinal fusions in hypoalbuminemic vs. non-hypoalbuminemic patients.¹⁶ Of the existing literature, only one study did not find pre-operative albumin to be a risk factor for post-operative complications.³⁶ Additionally, our study reports a greater complication rate for deep infection after ALIF and PLIF compared to the existing literature.^37,38 Specifically, study by Mehren et al reported a deep infection rate after ALIF as low as 0.37% in a single center study.³⁹

Identifying hypoalbuminemic patients and delaying surgery whenever possible not only decreased morbidity and mortality rates on the patient but also leavens the financial burden of hospitalization and increased patient quality of care. One study from 2002 stated that the median total direct cost of hospitalizations per infected patient rose from $6,646 in an uninfected patient to $24,344 in a patient with a surgical site infection.⁴⁰ While another study states that the difference in daily total charges was not statistically significant, length of stay for patients who had a surgical site infection rose from 5.64 days to 10.56 days. Additionally, 30-day readmission rates increased from 8.19 to 51.84 readmissions per 100 procedures, resulting in a change in profit due to surgical site infection of $2,268,589.⁴¹

Compared to albumin, CRP was not as strong of a predictor for post-operative complications. While CRP is also an acute phase reactant and therefore a marker for acute and chronic inflammatory states,^42,43 CRP was a significant risk factor for only deep infection after anterior lumbar interbody fusion and UTI after posterior lumbar interbody fusion in patients with a CCI ≤ 3. We suspect that this is due to our low power returned for all patients with CRP measured pre-operatively. Previous studies have shown that elevated pre-operative CRP is a risk factor for increased length of stay after elective orthopedic surgery⁴⁴ and infection after total hip arthroplasty⁴⁵ but another study found that pre-operative CRP levels were not statistically significant risk factors in predicting post-operative complications after total knee arthroplasty.⁴⁶ Extensive research on CRP detecting post-operative infection after orthopedic surgery exists^19-22,47 but little literature exists investigating pre-operative CRP in lumbar spine surgeries.

Our results suggest that perhaps acute or chronic inflammatory states are not the driver of post-operative complications but malnutrition is instead, as both albumin and CRP are markers for inflammatory states but only albumin is used to measure malnutrition. However, regardless of the mechanism by which decreased albumin or elevated CRP confer increased risk for post-operative complications, the odds ratio of pre-operative hypoalbuminemia and elevated CRP is greater than previously documented risk factors. In a single center retrospective study, multivariate logistic regression analysis revealed operation time and American Society of Anesthesiologists (ASA) classification: 3 to be significant risk factors for surgical site infection while operation time, ASA classification: 3, and elevated post-operative CRP after 1 week to be significant risk factors for UTI.³⁷ However, with exception to ASA classification: 3 which had an odds ratio of 6.0176 and 3.7076 for surgical site infection and UTI, respectively, the odds ratio for operation time 1.0066 and 1.0577 for superficial site infection and UTI, respectively; the odds ratio for elevated CRP after 1 week of surgery was only 1.1336 for UTI.

In the United States, routine pre-operative laboratory is often performed before surgical procedures, as information gathered from such results helps stratify risk and determine intra-operative and post-operative management. Additionally, routine pre-operative laboratory work up has been demonstrated to be a significant cost saving measure in septoplasty, though no literature currently exists within the orthopedic spine surgery space.⁴⁸ However, one study by Rodriguez et al⁴⁹ have noted that routine pre-operative tests are redundant, as lab results of patients who were indicated to undergo pre-operative laboratory tests per guideline recommendations⁵⁰ did not yield unexpected results and consequently did not change anesthetic management. In another study by Onuoha et al,⁵¹ 70% of routine pre-operative metabolic panels, a commonly used blood test in the United States that measures serum electrolytes, kidney function, and glucose levels, were collected in patients who were sufficiently healthy according the American Society of Anesthesiology physical status. Nonetheless, while the appropriateness of pre-operative lab work is widely debated, malnutrition is a frequently missed and untreated diagnosis with as many as 2 of every 3 major surgery patients being malnourished.⁵² Therefore, orthopedic spine surgeons should consider the possibility of malnourishment in their patients and order appropriate testing to stratify patients’ risk.

While other studies have investigated pre-operative albumin and CRP as risk factors for post-operative complications, most studies are either single institutional studies or utilize the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Our study provides a unique perspective by being the only study investigating pre-operative albumin and CRP as risk factors for post-operative complications after ALIF, PLIF, and lumbar discectomy using the Pearl Diver database. Using this database provides advantages with the primary one being that Pearl Diver helped facilitate a highly powered study that served to mitigate confounding factors that would otherwise impact other smaller powered studies. Additionally, because Pearl Diver is a national database, we were also able to mitigate regional bias that would otherwise impact single-institutional studies.

Our study was not without limitations. One limitation of using PearlDiver to conduct a retrospective study such as this one is its dependence on ICD-9 and CPT codes, as the accuracy of collected patient information is subject to provider recording, thus serving as a potential source of error. Additionally, due to PearlDiver as well as this study being retrospective in nature, collected patient data is limited to certain demographics and additional information including but not limited to patient outcomes, characteristics, or hospital course could not be obtained; furthermore, controlling for pre-existing conditions is difficult, as doing so would significantly impact the power of our study and therefore impact the primary objective of our study. Information pertaining to intra-operative variables such as operation time, estimated blood loss, and blood transfusion was also absent from this study, which could have otherwise provided additional detail regarding the etiology of various post-operative complications such as infection or surgical revision. Another limitation to Pearl Diver is its inability to report the number of patients for groups in which there were 11 or fewer patients, limiting our ability to report post-operative complication rates or odds ratios. Given the study design and small populations our exclusion criteria did not exclude patients who had a front/back procedure. Power was also a limitation in this study, patients with abnormal CRP and in particular albumin values were low and might have had an impact on the comparison analysis. Lastly, our study did not compare the complication rates between patients who had pre-operative laboratory values compared to those who did not, serving as a potential source of selection bias.

Recent literature has come out investigating how a pre-operative CRP: albumin ratio affects morbidity and mortality. In the study done by Llop-Talaveron et al., a pre-operative CRP: albumin ratio was statistically significant for predicting infection, sepsis, and liver failure.⁵³ Furthermore, prealbumin has been cited as a serum biomarker of impaired perioperative nutritional status and a risk factor for surgical site infection, UTI, and longer surgery time after spine surgery.^15,53-57 In addition to investigating other serum markers for malnutrition, including platelets, INR, absolute lymphocyte count, and hematocrit, special attention should focus on the sensitivity and specificity of these markers in predicting intra-operative and/or post-operative complications including, but not limited to, operative time, bleeding, infection, revision of surgery, MI, DVT, PT, and length of hospitalization.

Conclusion

Using the Humana Insurance database through PearlDiver, we demonstrated that pre-operative hypoalbuminemia is a statistically significant risk factor for deep infection, UTI, and surgery revision while CRP showed a trend but was not a statistically significant risk factor for these complications. For some patient populations, low serum albumin greatly increases risk for post-operative complications, namely deep infections. Given these findings, serum albumin may be a useful test to add pre-operatively to improve patient safety and reduce adverse outcomes.

Footnotes

Declaration of Conflicting Interests

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Disclosures outside of submitted work: JCW- Royalties –Biomet, Seaspine, Amedica, Synthes; Investments/Options – Bone Biologics, Pearldiver, Electrocore, Surgitech; Board of Directors - AO Foundation, Society for Brain Mapping and Therapeutics, Fellowship Funding (paid to institution): AO Foundation ZB- consultancy: Cerapedics (past), The Scripps Research Institute, Xenco Medical (past), AO Spine (past); Research Support: SeaSpine (past, paid to the institution), Next Science (paid directly to institution), Motion Metrics (paid directly to institution); North American Spine Society: committee member; Lumbar Spine Society: Co-chair Research committee, AOSpine Knowledge Forum Degenerative: Associate member; AOSNA Research committee- committee member.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iDs

Blake Formanek

Zorica Buser, PhD

References

Woolf

Pfleger

. Burden of major musculoskeletal conditions. Bull World Health Organ. 2003;81(9):646–656.

Katz

. Lumbar disc disorders and low-back pain: socioeconomic factors and consequences. J Bone Joint Surg Am. 2006;88(Suppl 2):21–24. doi:10.2106/JBJS.E.01273

Martin

Mirza

Spina

Spiker

Lawrence

Brodke

. Trends in lumbar fusion procedure rates and associated hospital costs for degenerative spinal diseases in the United States, 2004 to 2015. Spine. 2019;44(5):369–376. doi:10.1097/BRS.0000000000002822

Nasser

Yadla

Maltenfort

, et al. Complications in spine surgery: a review. J Neurosurg Spine. 2010;13(2):144–157. doi:10.3171/2010.3.SPINE09369

Swinney

Veeravagu

Bhatti

Ratliff

Postoperative visual loss following lumbar spine surgery: a review of risk factors by diagnosis. World Neurosurg. 2015;84(6):2010–2021. doi:10.1016/j.wneu.2015.08.030

Lai

Song

Guo

, et al. Risk factors for acute surgical site infections after lumbar surgery: a retrospective study. J Orthop Surg. 2017;12(1):116. doi:10.1186/s13018-017-0612-1

Yao

Zhou

Choma

Kwon

Street

Surgical site infection in spine surgery: who is at risk?

Glob Spine J. 2018;8(4 Suppl):5S–30S. doi:10.1177/2192568218799056

Marcason

. Should albumin and prealbumin be used as indicators for malnutrition? J Acad Nutr Diet. 2017;117(7):1144. doi:10.1016/j.jand.2017.04.018

Cabrerizo

Cuadras

Gomez-Busto

Artaza-Artabe

Marín-Ciancas

Malafarina

Serum albumin and health in older people: review and meta analysis. Maturitas. 2015;81(1):17–27. doi:10.1016/j.maturitas.2015.02.009

10.

Don

Kaysen

. Serum albumin: relationship to inflammation and nutrition. Semin Dial. 2004;17(6):432–437. doi:10.1111/j.0894-0959.2004.17603.x

11.

Puvanesarajah

Jain

Kebaish

, et al. Poor nutrition status and lumbar spine fusion surgery in the elderly: readmissions, complications, and mortality. Spine. 2017;42(13):979–983. doi:10.1097/BRS.0000000000001969

12.

Hussain

Cheung

Vig

, et al. Hypoalbuminemia as an independent risk factor for perioperative complications following surgical decompression of spinal metastases. Glob Spine J. 2019;9(3):321–330. doi:10.1177/2192568218797095

13.

Phan

Kim

, et al. Nutritional insufficiency as a predictor for adverse outcomes in adult spinal deformity surgery. Glob Spine J. 2018;8(2):164–171. doi:10.1177/2192568217708777

14.

Kudo

Miyakoshi

Hongo

, et al. Relationship between preoperative serum rapid turnover proteins and early-stage surgical wound infection after spine surgery. Eur Spine J. 2017;26(12):3156–3161. doi:10.1007/s00586-016-4855-z

15.

Lakomkin

Goz

Cheng

Brodke

Spiker

. The utility of preoperative laboratories in predicting postoperative complications following posterolateral lumbar fusion. Spine J. 2018;18(6):993–997. doi:10.1016/j.spinee.2017.10.010

16.

Bohl

Shen

Mayo

, et al. Malnutrition predicts infectious and wound complications following posterior lumbar spinal fusion. Spine. 2016;41(21):1693–1699. doi:10.1097/BRS.0000000000001591

17.

Kim

McClave

Martindale

Miller

Hurt

. Hypoalbuminemia and clinical outcomes: what is the mechanism behind the relationship? Am Surg. 2017;83(11):1220–1227. doi:10.1177/000313481708301123

18.

Klein

Hey

, et al. Perioperative nutrition and postoperative complications in patients undergoing spinal surgery. Spine. 1996;21(22):2676–2682. doi:10.1097/00007632-199611150-00018

19.

Neumaier

Braun

Sandmann

Siebenlist

. C-reactive protein in orthopaedic surgery. Acta Chir Orthop Traumatol Cech. 2015;82(5):327–331.

20.

Neumaier

Scherer

. C-reactive protein levels for early detection of postoperative infection after fracture surgery in 787 patients. Acta Orthop. 2008;79(3):428–432. doi:10.1080/17453670710015355

21.

Gupta

Singh

Soni

. C-reactive protein (CRP) as an indicator of sepsis in orthopaedic trauma. Indian J Med Sci. 2002;56(10):501–507.

22.

Hegde

Meredith

Kepler

Huang

. Management of postoperative spinal infections. World J Orthop. 2012;3(11):182–189. doi:10.5312/wjo.v3.i11.182

23.

Leu

Kamenova

Mehrkens

Mariani

Schären

Soleman

. Preoperative and postoperative factors and laboratory values predicting outcome in patients undergoing lumbar fusion surgery. World Neurosurg. 2016;92:323–338. doi:10.1016/j.wneu.2016.05.011

24.

Charlson

Pompei

Ales

MacKenzie

. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–383. doi:10.1016/0021-9681(87)90171-8

25.

Charlson

Szatrowski

Peterson

Gold

. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47(11):1245–1251. doi:10.1016/0895-4356(94)90129-5

26.

Lee

Finucane

. Serum albumin and prealbumin in calorically restricted, nondiseased individuals: a systematic review. Am J Med. 2015;128(9):1023. e1-22. doi:10.1016/j.amjmed.2015.03.032

27.

Gibbs

Cull

Henderson

Daley

Hur

Khuri

. Preoperative serum albumin level as a predictor of operative mortality and morbidity: results from the National VA Surgical Risk Study. Arch Surg. 1999;134(1):36–42. doi:10.1001/archsurg.134.1.36

28.

Bohl

Shen

Hannon

Fillingham

Darrith

Della Valle

. Serum albumin predicts survival and postoperative course following surgery for geriatric hip fracture. J Bone Joint Surg Am. 2017;99(24):2110–2118. doi:10.2106/JBJS.16.01620

29.

Yuwen

Chen

, et al. Albumin and surgical site infection risk in orthopaedics: a meta-analysis. BMC Surg. 2017;17(1):7. doi:10.1186/s12893-016-0186-6

30.

Cross

Thomas

Garcia

Della Valle

. Evaluation of malnutrition in orthopaedic surgery. J Am Acad Orthop Surg. 2014;22(3):193–199. doi:10.5435/JAAOS-22-03-193

31.

Kamath

Nelson

Elkassabany

Guo

Liu

. Low albumin is a risk factor for complications after revision total knee arthroplasty. J Knee Surg. 2017;30(3):269–275. doi:10.1055/s-0036-1584575

32.

Khanna

Sing

Geiger

Metz

. Hypoalbuminemia is associated with septic revisions after primary surgery and postoperative infection after revision surgery. Spine. 2018;43(6):454–460. doi:10.1097/BRS.0000000000002436

33.

Adogwa

Martin

Huang

, et al. Preoperative serum albumin level as a predictor of postoperative complication after spine fusion. Spine. 2014;39(18):1513–1519. doi:10.1097/BRS.0000000000000450

34.

Liu

Deng

H-L

Chen

, et al. Risk factors for surgical site infection after posterior lumbar spinal surgery. Spine. 2018;43(10):732–737. doi:10.1097/BRS.0000000000002419

35.

Ukogu

Jacobs

Ranson

, et al. Preoperative nutritional status as a risk factor for major postoperative complications following anterior lumbar interbody fusion. Glob Spine J. 2018;8(7):662–667. doi:10.1177/2192568218760540

36.

Sang

Ren

Meng

Jiang

. Risk factors for surgical site infection following posterior lumbar intervertebral fusion [in Chinese]. Nan Fang Yi Ke Da Xue Xue Bao. 2018;38(8):969–974. doi:10.3969/j.issn.1673-4254.2018.08.11

37.

Dobran

Marini

Gladi

, et al. Deep spinal infection in instrumented spinal surgery: diagnostic factors and therapy. Il G Chir. 2017;38(3):124–129. doi:10.11138/gchir/2017.38.3.124

38.

Tominaga

Setoguchi

Ishidou

Nagano

Yamamoto

Komiya

. Risk factors for surgical site infection and urinary tract infection after spine surgery. Eur Spine J. 2016;25(12):3908–3915. doi:10.1007/s00586-016-4674-2

39.

Mehren

Mayer

Zandanell

Siepe

Korge

. The oblique anterolateral approach to the lumbar spine provides access to the lumbar spine with few early complications. Clin Orthop. 2016;474(9):2020–2027. doi:10.1007/s11999-016-4883-3

40.

Whitehouse

Friedman

Kirkland

Richardson

Sexton

. The impact of surgical-site infections following orthopedic surgery at a community hospital and a university hospital: adverse quality of life, excess length of stay, and extra cost. Infect Control Hosp Epidemiol. 2002;23(4):183–189. doi:10.1086/502033

41.

Shepard

Ward

Milstone

, et al. Financial impact of surgical site infections on hospitals: the hospital management perspective. JAMA Surg. 2013;148(10):907–914. doi:10.1001/jamasurg.2013.2246

42.

Ebersole

Machen

Steffen

Willmann

. Systemic acute-phase reactants, C-reactive protein and haptoglobin, in adult periodontitis. Clin Exp Immunol. 1997;107(2):347–352. doi:10.1111/j.1365-2249.1997.270-ce1162.x

43.

Steel

Whitehead

. The major acute phase reactants: C-reactive protein, serum amyloid P component and serum amyloid a protein. Immunol Today. 1994;15(2):81–88. doi:10.1016/0167-5699(94)90138-4

44.

Ackland

Scollay

Parks

de Beaux

Mythen

. Pre-operative high sensitivity C-reactive protein and postoperative outcome in patients undergoing elective orthopaedic surgery. Anaesthesia. 2007;62(9):888–894. doi:10.1111/j.1365-2044.2007.05176.x

45.

Falzarano

Piscopo

Grubor

, et al. Use of common inflammatory markers in the long-term screening of total hip arthroprosthesis infections: our experience. Adv Orthop. 2017;2017:9679470. doi:10.1155/2017/9679470

46.

Godoy

Sumarriva

Ochsner

, et al. Preoperative acute inflammatory markers as predictors for postoperative complications in primary total knee arthroplasty. Ochsner J. 2016;16(4):481–485.

47.

Puvanesarajah

VCC

EHLS

. Surgical site infection following spine surgery: diagnostic potential of CRP, ESR, and WBC in predicting infection. Emerg Med Open Access. 2015;05(05). doi:10.4172/2165-7548.1000277

48.

Yazıcı

Daşkaya

Doğan

Haberal

Çiftçi

. Patient specific or routine preoperative workup in septoplasty: which one is cost-effective? Eur Arch Otorhinolaryngol. 2014;271(2):305–309. doi:10.1007/s00405-013-2541-x

49.

Rodríguez-Borja

Corchon-Peyrallo

Aguilar-Aguilar

Carratala-Calvo

Utility of routine laboratory preoperative tests based on previous results: time to give up. Biochem Medica. 2017;27(3):590–593. doi:10.11613/BM.2017.030902

50.

Feely

Collins

Daniels

Kebede

Jatoi

Mauck

. Preoperative testing before noncardiac surgery: guidelines and recommendations. Am Fam Physician. 2013;87(6):414–418.

51.

Onuoha

Hatch

Miano

Fleisher

. The incidence of un-indicated preoperative testing in a tertiary academic ambulatory center: a retrospective cohort study. Perioper Med. 2015;4(1):1–8. doi:10.1186/s13741-015-0023-y

52.

Williams

DGA

Molinger

Wischmeyer

. The malnourished surgery patient: a silent epidemic in perioperative outcomes? Curr Opin Anaesthesiol. 2019;32(3):405–411. doi:10.1097/ACO.0000000000000722

53.

Llop-Talaveron

Badia-Tahull

Leiva-Badosa

. An inflammation-based prognostic score, the C-reactive protein/albumin ratio predicts the morbidity and mortality of patients on parenteral nutrition. Clin Nutr Edinb Scotl. 2018;37(5):1575–1583. doi:10.1016/j.clnu.2017.08.013

54.

Tempel

Grandhi

Maserati

, et al. Prealbumin as a serum biomarker of impaired perioperative nutritional status and risk for surgical site infection after spine surgery. J Neurol Surg Part Cent Eur Neurosurg. 2015;76(2):139–143. doi:10.1055/s-0034-1394188

55.

Salvetti

Tempel

Gandhoke

, et al. Preoperative prealbumin level as a risk factor for surgical site infection following elective spine surgery. Surg Neurol Int. 2015;6(Suppl 19): S500–S503. doi:10.4103/2152-7806.166893

56.

Salvetti

Tempel

Goldschmidt

, et al. Low preoperative serum prealbumin levels and the postoperative surgical site infection risk in elective spine surgery: a consecutive series. J Neurosurg Spine. 2018;29(5):549–552. doi:10.3171/2018.3.SPINE171183

57.

Guan

Holland

Schmidt

Dailey

Mahan

Bisson

. Association of low perioperative prealbumin level and surgical complications in long-segment spinal fusion patients: a retrospective cohort study. Int J Surg Lond Engl. 2017;39:135–140. doi:10.1016/j.ijsu.2017.01.082

Hypoalbuminemia and Elevated CRP are Risk Factors for Deep Infections and Urinary Tract Infections After Lumbar Spine Surgery in a Large Retrospective Patient Population

Abstract

Study Design:

Objectives:

Methods:

Results:

Conclusions:

Keywords

Introduction

Methods

Results

Discussion

Conclusion

Footnotes

Declaration of Conflicting Interests

Funding

ORCID iDs

References