Literature DB >> 31388643

Propensity-matched analysis of the influence of perioperative statin therapy on outcomes after liver resection.

B V M Dasari1, A Pathanki1, J Hodson2, K J Roberts1, R Marudanayagam1, D F Mirza1, J Isaac1, R P Sutcliffe1, P Muiesan1.   

Abstract

Background: Perioperative use of statins is reported to improve postoperative outcomes after cardiac and non-cardiovascular surgery. The aim of this study was to investigate the influence of statins on postoperative outcomes including complications of grade IIIa and above, posthepatectomy liver failure (PHLF), and 90-day mortality rates after liver resection.
Methods: Patients who underwent hepatectomy between 2013 and 2017 were reviewed to identify statin users and non-users (controls). Propensity matching was conducted for age, BMI, type of surgery and preoperative co-morbidities to compare subgroups. Univariable and multivariable analyses were performed for the following outcomes: 90-day mortality, significant postoperative complications and PHLF.
Results: Of 890 patients who had liver resection during the study period, 162 (18·2 per cent) were taking perioperative statins. Propensity analysis selected two matched groups, each comprising 154 patients. Overall, 81 patients (9·1 per cent) developed complications of grade IIIa or above, and the 90-day mortality rate was 3·4 per cent (30 patients), with no statistically significant difference when the groups were compared before and after matching. The rate of PHLF was significantly lower in patients on perioperative statins than in those not taking statins (10·5 versus 17·3 per cent respectively; P = 0·033); similar results were found after propensity matching (10·4 versus 20·8 per cent respectively; P = 0·026).
Conclusion: The rate of PHLF was significantly lower in patients taking perioperative statins, but there was no statistically significant difference in severe complications and mortality rates.

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Year:  2019        PMID: 31388643      PMCID: PMC6677106          DOI: 10.1002/bjs5.50155

Source DB:  PubMed          Journal:  BJS Open        ISSN: 2474-9842


Introduction

Postoperative outcomes following liver resection have improved significantly over the past decade, with postoperative mortality rates falling from 20 to 1–5 per cent1. Better outcomes resulted from improved perioperative management and anaesthetic techniques, dedicated high‐volume centres and enhanced recovery programmes2, 3. In addition, prehabilitation programmes were reported to improve cardiopulmonary performance and quality of life4, and preoperative dietary therapy was recognized to reduce postoperative hospital stay5. The use of statins across the perioperative period was reported6, 7, 8 to benefit patients undergoing various types of surgery. In a meta‐analysis of more than 30 000 patients undergoing cardiac surgery, statin therapy reduced the absolute and odds risks for all‐cause mortality6. In non‐cardiac vascular surgery, statin use was also associated with increased patency and overall survival7. In a retrospective study of colorectal surgery, patients on statins had a significant reduction in postoperative sepsis and anastomotic leak after elective rectal resections8. The use of statins in low doses improved liver regeneration and angiogenesis after partial hepatectomy in animal models9. A previous report10 documented that statins were associated with significantly increased recurrence‐free survival in patients undergoing curative resection for hepatocellular carcinoma not due to chronic viral hepatitis. In a small cohort of patients with non‐alcoholic steatohepatitis treated with rosuvastatin and lifestyle changes, steatohepatitis was shown to have improved on histological examination of liver biopsies after 12 months11. The aim of the present study was to evaluate postoperative outcomes, including posthepatectomy liver failure (PHLF), in a cohort of patients who underwent liver resection, comparing statin users and controls.

Methods

A retrospective analysis was performed using the departmental electronic database. All patients who had liver resection between January 2013 and January 2017 at the Department of Hepatobiliary and Pancreatic Surgery, Queen Elizabeth Hospital, Birmingham, a tertiary referral centre, were included. Patients under the age of 18 years and those who had multivisceral resection were excluded. All patients had clinical history and physical examination recorded before surgery by a surgeon and an anaesthetist, and radiological findings were reviewed at a multidisciplinary team meeting. Parenchymal transection was performed with low central venous pressure (5 mmHg) and reverse Trendelenburg position. Intermittent inflow vascular control was obtained based on the extent of resection and surgeon preference. Abdominal drains were used after most resections, but were removed according to an enhanced recovery protocol (in use in the department since 2014)12. Anatomical remnant liver volumes were measured selectively in patients requiring extended hepatectomy. Energy devices (Cavitron Ultrasonic Aspirator® (CUSA) dissection device, Integra Life Sciences, Plainsboro, New Jersey, USA; and various types of ultrasonic shears) were used according to the surgeon's preference. The extent of resection was categorized as: minor (fewer than 3 segments), major (Brisbane classification13 – right or left hepatectomy) or extra‐major (extended resections, right or left hepatectomy with additional non‐anatomical resections in patients with bilobar disease, or hepatectomy with vascular reconstruction). According to department's protocol, all patients who received chemotherapy before liver surgery have an interval of 6–8 weeks between the completion of chemotherapy and liver resection. Preoperative variables analysed included patient demographics, diagnoses, co‐morbid medical conditions and preoperative laboratory values. Co‐morbidities recorded included hypertension (HTN), ischaemic heart disease (IHD), diabetes mellitus (DM), respiratory co‐morbidity, chronic kidney disease (CKD), stroke and deep vein thrombosis (DVT). Patients' medication history was reviewed to identify those who were taking statins. These data were verified using electronic medical records, to check whether patients continued these medications after surgery.

Outcomes measured

The primary outcome was 90‐day mortality. Secondary outcomes were the development of PHLF (as defined by the International Study Group of Liver Surgery14) and complications of grade IIIa or above according to the Clavien–Dindo15 classification.

Statistical analysis

Comparisons were made between patients who were taking statins and those who were not (control group). The distributions of continuous variables were tested for normality by examining the mean and standard error of skewness and the Shapiro–Wilk test. Normally distributed continuous variables were reported as mean(s.d.) values and compared between groups using independent‐samples t tests. Other continuous variables were reported as the median (i.q.r.) values, and compared with the Mann–Whitney U test. Fisher's exact test was used for categorical variables. Multivariable binary logistic regression analyses were performed to identify independent preoperative predictors of the outcomes, after accounting for potentially confounding factors. Before the analysis, continuous variables were assessed with Hosmer–Lemeshow tests to ensure a good model fit. When a poor fit was detected, the factors were divided into categories or log2‐transformed, as applicable, to improve the model fit. Factors were then entered into the model, with a backwards‐stepwise approach used for outcomes that occurred infrequently, to minimize the potential for overfitting. Propensity matching was performed to negate the impact of confounding factors on comparisons between statin and control groups. The propensity score was produced from a binary logistic regression model, including patient age, BMI, type of surgery and preoperative co‐morbidities including DM, DVT, HTN, IHD, CKD, respiratory co‐morbidity and stroke as co‐variables. Cases (statins) and controls (no statins) were then matched in a 1 : 1 ratio, without replacement, using a caliper of 5 per cent. Outcome rates were then compared between the propensity‐matched groups using McNemar tests. In addition, a multivariable analysis of the propensity‐matched cohort was produced, using binary logistic regression models with a backwards‐stepwise approach, to account for any residual demographic differences between the matched groups. P < 0·050 was considered statistically significant. All analyses were performed using IBM SPSS® version 22 (IBM, Armonk, New York, USA). Patients with missing data were included where possible, being excluded only from any analyses that considered those factors with missing data.

Results

Table 1 shows the clinical and surgical features of the 890 patients included. The most common indication for liver surgery was a diagnosis of colorectal liver metastasis (530 patients, 59·6 per cent). Other indications for resection were primary liver malignancy (134 patients, 15·1 per cent), other malignant liver tumours (117, 13·1 per cent) and benign pathology (85, 9·6 per cent).
Table 1

Comparison of preoperative variables by statin use before and after propensity matching

Total cohortPropensity‐matched cohort
Statin use P Statin use P
No (n = 728)Yes (n = 162)No (n = 154)Yes (n = 154)
Age (years)* 64·0 (54·0–72·1)70·1 (62·4–74·9)< 0·001§ 67·0 (60·3–74·1)70·4 (62·2–74·9)0·012§
Sex ratio (M : F)408 : 32099 : 630·25571 : 8361 : 930·300
BMI (kg/m2)*, 27·7 (24·5–31·6)28·6 (25·6–32·1) 0·043§ 28·6 (24·6–32·6)28·5 (25·6–32·0)0·917§
Type of surgery 0·0190·321
Minor380 (79·8)96 (20·2)81 (47·4)90 (52·6)
Major163 (79·9)41 (20·1)40 (49)41 (51)
Extra‐major181 (88·3)24 (11·7)33 (59)23 (41)
Diabetes mellitus< 0·0010·422
Yes64 (60·4)42 (39·6)121 (51·5)114 (48·5)
No664 (84·7)120 (15·3)33 (45)40 (55)
DVT0·3350·623
Yes26 (90)3 (10)153 (50·3)151 (49·7)
No702 (81·5)159 (18·5)1 (25)3 (75)
Hypertension< 0·0010·905
Yes140 (70·4)59 (29·6)101 (50·5)99 (49·5)
No588 (85·1)103 (14·9)53 (49·1)55 (50·9)
IHD< 0·0011·000
Yes47 (65)25 (35)133 (50·0)133 (50·0)
No681 (83·3)137 (16·7)21 (50)21 (50)
CKD0·4011·000
Yes7 (70)3 (30)150 (49·8)151 (50·2)
No721 (81·9)159 (18·1)4 (57)3 (43)
Stroke0·0020·750
Yes11 (52)10 (48)150 (50·3)148 (49·7)
No717 (82·5)152 (17·5)4 (40)6 (60)
Respiratory co‐morbidity0·3891·000
Yes76 (85)13 (15)143 (50·2)142 (49·8)
No652 (81·4)149 (18·6)11 (48)12 (52)

Values in parentheses are percentages unless indicated otherwise;

values are median (i.q.r.)

For the total cohort, data for BMI were available for only 863 patients, and for type of surgery only 885. DVT, deep vein thrombosis; IHD, ischaemic heart disease; CKD, chronic kidney disease.

Fisher's exact test, except

Mann–Whitney U test.

Comparison of preoperative variables by statin use before and after propensity matching Values in parentheses are percentages unless indicated otherwise; values are median (i.q.r.) For the total cohort, data for BMI were available for only 863 patients, and for type of surgery only 885. DVT, deep vein thrombosis; IHD, ischaemic heart disease; CKD, chronic kidney disease. Fisher's exact test, except Mann–Whitney U test. Some 162 patients (18·2 per cent) were taking statins before surgery, and all continued the treatment throughout the perioperative period. These patients were significantly older (median 70·1 years versus 64·0 years for those not taking statins; P < 0·001) and had a higher BMI (28·6 versus 27·7 kg/m2 respectively; P = 0·043) (Table 1). In addition, patients taking statins had significantly higher rates of DM, HTN, IHD and stroke than those not on statins in the perioperative period, and underwent fewer extra‐major liver resections. Propensity matching identified matches for 154 statin users, giving a cohort of 308 for analysis.

Ninety‐day mortality

The overall 90‐day mortality rate was 3·4 per cent (30 patients). Statin use was not found to be significantly associated with 90‐day mortality in univariable analysis (P = 0·473), and was not selected for inclusion in the multivariable model, which identified only DM as a significant independent risk factor for 90‐day mortality (odds ratio (OR) 5·00, 95 per cent c.i. 2·23 to 11·10; P < 0·001) (Table S1, supporting information). After propensity matching, the difference in 90‐day mortality rates between the statin and control cohorts remained non‐significant, both in univariable analysis (3·9 versus 8·4 per cent respectively; P = 0·118) (Table 2) and after adjustment for confounders in multivariable analysis (OR 0·37, 0·13 to 1·08; P = 0·068) (Table 3).
Table 2

Postoperative outcomes by statin use

StatinControlOdds ratio* P
90‐day mortality
Whole cohort6 of 162 (3·7)24 of 728 (3·3)1·13 (0·45, 2·81)0·473
Propensity‐matched6 of 154 (3·9)13 of 154 (8·4)0·44 (0·16, 1·19)0·118
PHLF
Whole cohort17 of 162 (10·5)126 of 728 (17·3)0·56 (0·33, 0·96)0·033
Propensity‐matched16 of 154 (10·4)32 of 154 (20·8)0·44 (0·23, 0·85)0·026
Clavien–Dindo grade ≥ IIIa
Whole cohort14 of 162 (8·6)67 of 728 (9·2)0·93 (0·51, 1·71)1·000
Propensity‐matched12 of 154 (7·8)19 of 154 (12·3)0·60 (0·28, 1·28)0·230

Values in parentheses are percentages unless indicated otherwise;

odds ratio for the statin relative to control with 95 per cent confidence intervals in parentheses. PHLF, posthepatectomy liver failure.

Fisher's exact test;

McNemar's test.

Table 3

Multivariable analysis of outcomes in the matched cohort of 308 patients

90‐day mortalityPHLFClavien–Dindo grade ≥ IIIa
Odds ratio P Odds ratio P Odds ratio P
Statin use0·37 (0·13, 1·08)0·0680·44 (0·21, 0·89)  0·0230·52 (0·24, 1·14)0·100
Age at surgery (per year)n.s.n.s.1·04 (1·00, 1·08)0·082
BMI (per kg/m2)n.s.0·92 (0·85, 0·99)  0·020n.s.
Sexn.s.n.s.n.s.
Diabetes mellitus5·95 (1·99, 17·79)0·001n.s.n.s.
DVT14·41 (1·05, 198·42)0·046n.s.10·03 (1·36, 77·82)0·024
Hypertension0·32 (0·10, 1·06)0·062n.s.n.s.
IHDn.s.n.s.n.s.
CKDn.s.19·85 (2·43, 162·29)  0·005n.s.
Stroken.s.n.s.n.s.
Respiratory co‐morbidityn.s.n.s.n.s.
Extent of surgery0·098< 0·001
Minor1·00 (reference)n.s.
Major3·53 (1·10, 11·33)0·03419·34 (6·90, 54·23)< 0·001n.s.
Extra‐major2·53 (0·68, 9·36)0·16511·58 (3·89, 34·46)< 0·001n.s.

Values in parentheses are 95 per cent confidence intervals. PHLF, posthepatectomy liver failure; n.s., not selected for inclusion in the final model by the stepwise procedure; DVT, deep vein thrombosis; IHD, ischaemic heart disease; CKD, chronic kidney disease.

Postoperative outcomes by statin use Values in parentheses are percentages unless indicated otherwise; odds ratio for the statin relative to control with 95 per cent confidence intervals in parentheses. PHLF, posthepatectomy liver failure. Fisher's exact test; McNemar's test. Multivariable analysis of outcomes in the matched cohort of 308 patients Values in parentheses are 95 per cent confidence intervals. PHLF, posthepatectomy liver failure; n.s., not selected for inclusion in the final model by the stepwise procedure; DVT, deep vein thrombosis; IHD, ischaemic heart disease; CKD, chronic kidney disease.

Posthepatectomy liver failure

A total of 143 patients (16·1 per cent) developed PHLF. In univariable analysis, a prevalence of male sex (P = 0·034) and major/extra‐major hepatectomy (P < 0·001) was noted among patients with PHLF, whereas the rate of PHLF was lower in those using statins versus controls (10·5 versus 17·3 per cent; P = 0·033) (Table  2). After accounting for the effects of confounding factors on multivariable analysis, statin use was found to be a significant independent predictor of reduced PHLF (OR 0·54, 95 per cent c.i. 0·30 to 1·00; P = 0·049) (Table  S2, supporting information). This remained significant after propensity matching (Table  2), with an OR of 0·44 (0·21 to 0·89; P = 0·023) in multivariable analysis (Table 3).

Postoperative complications

A total of 223 patients (25·1 per cent) experienced complications (excluding PHLF); 81 (9·1 per cent) reported complications of grade IIIa or above. Statin use was not significantly associated with the rate of complications of grade IIIa or above in either the unmatched or the propensity‐matched cohort (Tables  2, 3, 4; Table  S3, supporting information). The median hospital stay was 6 (i.q.r. 5–9) days, and did not differ significantly between the statin and control group (P = 0·231).
Table 4

Associations between complications, patient outcomes and statin use in the unmatched cohort

Type of complication n 90‐day mortalityPHLFStatin use
n P * n P * n P *
PHLF< 0·0010·033
Yes14313 (9·1)17 (11·9)
No74717 (2·3)145 (19·4)
Wound0·6690·1560·562
Yes472 (4)11 (23)10 (21)
No84328 (3·3)132 (15·7)152 (18·0)
Respiratory0·0200·1220·140
Yes867 (8)19 (22)21 (24)
No80423 (2·9)124 (15·4)141 (17·5)
Cardiac0·0030·0010·843
Yes456 (13)16 (36)7 (16)
No84524 (2·8)127 (15·0)155 (18·3)
Renal< 0·0010·0010·138
Yes127 (58)7 (58)0 (0)
No87823 (2·6)136 (15·5)162 (18·5)
Bleeding0·4051·0000·495
Yes151 (7)2 (13)4 (27)
No87529 (3·3)141 (16·1)158 (18·1)
Intra‐abdominal collection0·060< 0·0010·695
Yes454 (9)17 (38)9 (20)
No84526 (3·1)126 (14·9)153 (18·1)
Bile leak0·6410·0030·834
Yes402 (5)14 (35)8 (20)
No85028 (3·3)129 (15·2)154 (18·1)

Values in parentheses are percentages. PHLF, posthepatectomy liver failure.

Fisher's exact test.

Associations between complications, patient outcomes and statin use in the unmatched cohort Values in parentheses are percentages. PHLF, posthepatectomy liver failure. Fisher's exact test.

Discussion

It has previously been reported16 that, by inhibiting the action of 5‐hydroxy‐3‐methylglutaryl‐coenzyme A (HMG‐CoA) reductase, statins cause an increase in the expression of low‐density lipoprotein receptors, which leads to their antilipid activity. The primary effect of HMG‐CoA reductase inhibition is a decrease in mevalonate levels16. Mevalonate is an important precursor to several intracellular isoprenoids, and can affect the production of many intracellular signalling proteins16. Statins are also known to reduce margination and chemotaxis by exerting an inhibitory effect on intracellular adhesion molecules17, and to improve microcirculation by preventing the production of microthrombi, increasing the production of thromboxane A218. They also cause an improvement in endothelial function by increasing endothelial nitric oxide synthase gene‐mediated nitric oxide synthesis. In the present study, patients taking statins had a higher prevalence of co‐morbidities such as DM, HTN, IHD and previous stroke. Preoperative factors such as DM, cardiac co‐morbidity and CKD are reported19, 20, 21 to have a negative influence on the overall outcomes after liver resection. A meta‐analysis19 documented that DM was associated with a significantly higher risk of overall complications, postoperative infections and liver failure. Previous studies20, 21 have documented that the presence of cardiac co‐morbidities led to a higher risk of 30‐day mortality also in non‐cardiac and major liver surgery. In the present analysis, similar effects were reported with diabetes, IHD and CKD, which all had a negative impact on 90‐day mortality (Table S1, supporting information). PHLF is a serious complication following liver resection. It has a multifactorial aetiology, and the extent of liver resection and volumes of future liver remnant are significant prognostic factors22, 23, 24, 25. Even if the regenerative capacity of the liver could permit the surgical removal of large or multiple liver tumours with curative intent, when the liver remnant is too small the altered blood‐to‐liver volume ratio results in increased portal venous pressure and sinusoidal endothelial injury26. The overall incidence of PHLF in the present series was 16·1 per cent across all three International Study Group of Liver Surgery grades of PHLF. This is consistent with findings in recent publications27, 28, 29, 30, 31, where rates of up to 32 per cent have been reported, depending on the definition of PHLF used. However, several factors were associated with PHLF, such as obesity, DM, malnutrition, hyperbilirubinaemia24, age, chronic renal insufficiency, cirrhosis and chemotherapy32, 33, 34, 35. Models of rats treated with low‐dose statins have demonstrated increased mitochondrial enzyme activity, improved angiogenesis and regeneration of liver9. The use of statins has also proven beneficial in patients with NASH, which is also an independent factor influencing morbidity after liver resection36. A previous report37 on this topic concluded that the use of statins was independently and negatively associated with both NASH and significant fibrosis on histological examination. In the present study, statins were associated with reduced PHLF, with an OR of 0·56 (95 per cent c.i. 0·33 to 0·96) in the unmatched cohort, and after propensity matching with a risk reduction from 20·8 to 10·4 per cent and an OR of 0·44 (0·23 to 0·85). Limitations of this study include the retrospective design and lack of data on the type, dose and duration of consumption of statins before liver surgery. Thus it was not possible to assess whether this affected the magnitude of the observed effect, or to identify the optimal treatment regimen. A prospective RCT designed to test this effect, based on the present findings, would require a total sample size of 420 patients (210 per arm) to achieve 80 per cent power.

Disclosure

The authors declare no conflict of interest. Table S1. Associations between preoperative variables and 90 day‐mortality Table S2. Associations between preoperative variables and posthepatectomy liver failure Table S3. Associations between preoperative variables and significant complications (Clavien–Dindo grade IIIa or above) Click here for additional data file.
  36 in total

Review 1.  Non-lipid-related effects of statins.

Authors:  S Bellosta; N Ferri; F Bernini; R Paoletti; A Corsini
Journal:  Ann Med       Date:  2000-04       Impact factor: 4.709

2.  Effects of different doses of statins on liver regeneration through angiogenesis and possible relation between these effects and acute phase responses.

Authors:  T Colakoglu; T Z Nursal; A Ezer; F Kayaselcuk; A Parlakgumus; S Belli; H Karakayali; M Haberal
Journal:  Transplant Proc       Date:  2010-11       Impact factor: 1.066

3.  High volume and outcome after liver resection: surgeon or center?

Authors:  Robert W Eppsteiner; Nicholas G Csikesz; Jessica P Simons; Jennifer F Tseng; Shimul A Shah
Journal:  J Gastrointest Surg       Date:  2008-08-13       Impact factor: 3.452

4.  Statin medications are associated with decreased risk of sepsis and anastomotic leaks after rectal resections.

Authors:  David Disbrow; Corie L Seelbach; Jeremy Albright; Jane Ferraro; Juan Wu; Jon M Hain; Beth-Ann Shanker; Robert K Cleary
Journal:  Am J Surg       Date:  2018-01-31       Impact factor: 2.565

5.  Randomized clinical trial of prehabilitation before planned liver resection.

Authors:  D F J Dunne; S Jack; R P Jones; L Jones; D T Lythgoe; H Z Malik; G J Poston; D H Palmer; S W Fenwick
Journal:  Br J Surg       Date:  2016-02-11       Impact factor: 6.939

6.  Association of Perioperative Statin Use With Mortality and Morbidity After Major Noncardiac Surgery.

Authors:  Martin J London; Gregory G Schwartz; Kwan Hur; William G Henderson
Journal:  JAMA Intern Med       Date:  2017-02-01       Impact factor: 21.873

7.  Liver failure following partial hepatectomy.

Authors:  Thomas S Helling
Journal:  HPB (Oxford)       Date:  2006       Impact factor: 3.647

Review 8.  Impact of preoperative statin therapy on adverse postoperative outcomes in patients undergoing cardiac surgery: a meta-analysis of over 30,000 patients.

Authors:  Oliver J Liakopoulos; Yeong-Hoon Choi; Peter L Haldenwang; Justus Strauch; Thorsten Wittwer; Hilmar Dörge; Christof Stamm; Gernot Wassmer; Thorsten Wahlers
Journal:  Eur Heart J       Date:  2008-05-27       Impact factor: 29.983

9.  Analysis of the risk factors for early death due to disease recurrence or progression within 1 year after hepatectomy in patients with hepatocellular carcinoma.

Authors:  Toshiya Kamiyama; Kazuaki Nakanishi; Hideki Yokoo; Hirofumi Kamachi; Munenori Tahara; Tatsuhiko Kakisaka; Yosuke Tsuruga; Satoru Todo; Akinobu Taketomi
Journal:  World J Surg Oncol       Date:  2012-06-14       Impact factor: 2.754

10.  Clinical outcomes of patients with and without diabetes mellitus after hepatectomy: A systematic review and meta-analysis.

Authors:  Qingshan Li; Yue Wang; Tao Ma; Yi Lv; Rongqian Wu
Journal:  PLoS One       Date:  2017-02-09       Impact factor: 3.240

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