Abstract
Background
The influence of alcoholic liver disease (ALD) on the postoperative outcomes is not completely understood. Our purpose is to evaluate the complications and mortality after nonhepatic surgeries in patients with ALD.
Methods
We conducted a retrospective cohort study included adults aged 20 years and older who underwent nonhepatic elective surgeries using data of Taiwan’s National Health Insurance, 2008–2013. Using a propensity-score matching procedure, we selected surgical patients with ALD (n = 26,802); or surgical patients without ALD (n = 26,802) for comparison. Logistic regression was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) of postoperative complications and in-hospital mortality associated with ALD.
Results
Patients with ALD had higher risks of acute renal failure (OR 2.74, 95% CI 2.28–3.28), postoperative bleeding (OR 1.64, 95% CI 1.34–2.01), stroke (OR 1.51, 95% CI 1.34–1.70) septicemia (OR 1.47, 95% CI 1.36–1.58), pneumonia (OR 1.43, 95% CI 1.29–1.58), and in-hospital mortality (OR 2.64, 95% CI 2.24–3.11) than non-ALD patients. Patients with ALD also had longer hospital stays and higher medical expenditures after nonhepatic surgical procedures than the non-ALD patients. Compared with patients without ALD, patients with ALD who had jaundice (OR 4.82, 95% CI 3.68–6.32), ascites (OR 4.57, 95% CI 3.64–5.74), hepatic coma (OR 4.41, 95% CI 3.44–5.67), gastrointestinal hemorrhage (OR 3.84, 95% CI 3.09–4.79), and alcohol dependence syndrome (OR 3.07, 95% CI 2.39–3.94) were more likely to have increased postoperative mortality.
Conclusion
Surgical patients with ALD had more adverse events and a risk of in-hospital mortality after nonhepatic surgeries that was approximately 2.6-fold higher than that for non-ALD patients. These findings suggest the urgent need to revise the protocols for peri-operative care for this population.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12876-022-02558-6.
Keywords: Alcoholic liver diseases, Non-hepatic surgeries, Adverse outcomes
Introduction
Alcohol is commonly consumed in surgical patients during the perioperative period [1, 2]. The prevalence of alcohol consumption during the year before surgery is approximately 5–16%, with the level of alcohol consumption recognized as severe misuse in 2–4% of these patients [1], even though there are many unrecorded users [2]. Previous studies suggested that alcohol consumption during the perioperative period may increase complications and medical expenditures after surgery [3, 4].
Previous reports indicated that acute alcohol use was more harmful than chronic alcohol misuse among patients who underwent surgery [5]. In contrast, reducing the consumption of alcohol during the perioperative period improves postoperative outcomes [6]. A systematic review and meta-analysis including 55 studies suggested that preoperative alcohol consumption was associated with risks of postoperative morbidities, general infections, wound complications, pulmonary complications, prolonged hospital stays, and intensive care unit admission [7]. However, another meta-analysis suggested that alcohol drinking was not a risk factor for surgical site infection and anastomotic leakage [8].
These inconclusive findings imply the need for further research. In addition, the effects of alcoholic liver disease (ALD) on perioperative outcomes are not completely understood [1, 3, 7, 8]. Therefore, we used claims data from Taiwan’s National Health Insurance to explore the outcomes after nonhepatic surgeries in patients with and without alcoholic liver disease (ALD).
Methods
Source of data
We used the reimbursement claims data from the Taiwan’s National Health Insurance Program, which was implemented in March 1995 and covers more than 99% of the 23 million Taiwan residents [9–12]. The National Health Research Institutes of Taiwan established a National Health Insurance Research Database that records all beneficiaries’ medical services, including inpatient and outpatient demographics, primary and secondary diagnoses, procedures, prescriptions and medical expenditures for public research interest [9–12]. The validation of Taiwan’s National Health Insurance Research Database has been evaluated in previous studies [9, 10]. The validity of this database has been favorably evaluated, and research articles based on it have been accepted in prominent scientific journals worldwide [11, 12].
The data that support the findings of this study are available from the Ministry of Health and Welfare, Taiwan but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the Ministry of Health and Welfare, Taiwan. We have made the formal application (included application documents, study proposals, and ethics approval of the institutional review board) of the current insurance data. The authors of the present study had no special access privileges in accessing the data which other interested researchers would not have [11, 12].
We conducted this study in accordance with the Helsinki Declaration. In the original insurance data, every patient had identification number. For protecting personal privacy, the Ministry of Health and Welfare decoded the identification number in the insurance research database. Therefore, the researchers used insurance research database could not understand the identification of patients and they also could not identify specific patients. The requirement of informed consent to participate was deemed unnecessary according to the regulations of the Ministry of Health and Welfare. The requirement of informed consent to participate was waived by the Institutional Review Board of Taipei Medical University that also evaluated and approved this study (TMU-JIRB-202203134; TMU-JIRB-201905042; TMU-JIRB-201902053; TMU-JIRB-201705063).
Study design
From the three million surgical patients who underwent nonhepatic elective surgeries between 2008 and 2013 in Taiwan, we identified 32,548 surgical patients with ALD who were aged 20 years and older. These elective surgeries were nonhepatic surgeries that required general, epidural, or spinal anesthesia and hospitalization for at least 1 day. To identify patients with ALD more clearly, the current study required at least one medical care visit with a physician’s diagnosis of ALD within the 24-month preoperative period of the index surgery. Using a matching propensity score procedure with age, sex, low income, hospital volume, types of surgery, types of anesthesia, number of inpatient care visits within the past 2 years, number of emergency care visits within the past 2 years, and coexisting medical conditions (including mental disorders, hypertension, diabetes, peptic ulcer disease, chronic obstructive pulmonary disease, ischemic heart disease, hyperlipidemia, chronic kidney disease, heart failure, and renal dialysis), we selected 32,548 surgical patients from the surgical patient populations who were without ALD preoperatively.
Measures and definitions
We identified income status by defining low-income patients as those qualifying for waived medical copayment because this status is verified by the Taiwan Bureau of National Health Insurance. Additionally, whether the surgery was performed in a teaching hospital and the types of surgery and anesthesia used were also recorded. In this study, we excluded sucgrical patients received hepatic surgeries, such as wedge biopsy of liver, partial hepatectomy, segemental hepatectomy, hepatorrhaphy, hepato-enterostomy, portocavo shunt, Warren's shunt, right lobectomy, left lobectomy, and liver transplantation. The details of procedure codes were showed in Additional file 1: Table S1.
We used the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to define preoperative medical diseases and postoperative complications. Preoperative ALD was defined as the main exposure and included alcoholic fatty liver (ICD-9-CM 571.0), acute alcoholic hepatitis (ICD-9-CM 571.1), alcoholic cirrhosis of the liver (ICD-9-CM 571.2), and alcoholic liver damage (ICD-9-CM 571.3). Coexisting medical conditions, including mental disorders (ICD-9-CM 290-319), hypertension (ICD-9-CM401-405), diabetes (ICD-9-CM 250), peptic ulcer disease (ICD-9-CM 531, 532, 533), chronic obstructive pulmonary disease (ICD-9-CM 491, 492, 496), ischemic heart disease (ICD-9-CM 401-414), hyperlipidemia (ICD-9-CM 272.0, 272.1, 272.2), chronic kidney disease (ICD-9-CM 585, 586), heart failure (ICD-9-CM 428), and renal dialysis (administration codes D8, D9), were determined from medical claims for the 24-month preoperative period. Jaundice (ICD-9-CM 782.4), hepatic coma (ICD-9-CM 572.2), gastrointestinal hemorrhage (ICD-9-CM 578), ascites (ICD-9-CM 789.5) and alcohol dependence syndrome (ICD-9-CM 303) were also identified as clinical symptoms of patients with ALD.
Thirty-day in-hospital mortality after the index surgery and postoperative complications were considered as the study’s outcomes. These complications included septicemia (ICD-9-CM 038 and 998.5), pneumonia (ICD-9-CM 480-486), urinary tract infection (ICD-9-CM 599.0), acute renal failure (ICD-9-CM 584), stroke (ICD-9-CM 430-438), deep wound infection (ICD-9-CM 958.3), postoperative bleeding (ICD-9-CM 998.0, 998.1 and 998.2) and pulmonary embolism (ICD-9-CM 415). Admission to the intensive care unit, length of hospital stay and medical expenditure during the index nonhepatic surgery were also considered as secondary outcomes in this study.
Statistical analysis
We used a nonparsimonious multivariable logistic regression model to estimate propensity scores for preoperative ALD, irrespective of outcome. Clinical significance guided the initial choice of covariates in this model: age, sex, low income, hospital volume, types of surgery, types of anesthesia, number of inpatient care visits within the past 2 years, number of emergency care visits within the past 2 years, mental disorders, hypertension, diabetes, peptic ulcer disease, chronic obstructive pulmonary disease, ischemic heart disease, hyperlipidemia, chronic kidney disease, heart failure, and renal dialysis. We used a structured iterative approach to refine this model with the goal of achieving covariate balance within the matched pairs. Chi-square tests were used to measure covariate balance, and p < 1.0 was suggested to represent covariate imbalance. We matched patients with ALD to patients without ALD using a greedy-matching algorithm with a caliper width of 0.2 standard deviation of the log odds of the estimated propensity score. This method has been estimated to remove 98% of the bias from measured covariates. Adjusted odds ratios (ORs) with 95% CIs for 30-day postoperative complications and mortality between patients with and without ALD were analyzed with multivariate logistic regression. We controlled for age, sex, low income, hospital volume, types of surgery, types of anesthesia, number of inpatient care visits within the past 2 years, number of emergency care visits within the past 2 years, mental disorders, hypertension, diabetes, peptic ulcer disease, chronic obstructive pulmonary disease, ischemic heart disease, hyperlipidemia, chronic kidney disease, heart failure, and renal dialysis. We performed a stratified analysis and calculated an adjusted HR and 95% CI to examine the association between ALD and 30-day in-hospital mortality after surgery in the multivariate logistic regressions. SAS version 9.1 (SAS Institute Inc., Cary, NC, USA) statistical software was used; two-sided p < 0.05 indicated significant differences between surgical patients with and without ALD.
Results
Table 1 shows the matched characteristics of surgical patients with and without ALD. There was no difference in age, sex, low income, hospital volume, types of surgery, types of anesthesia, inpatient care visits within the past 2 years, emergency care visits within the past 2 years, mental disorders, hypertension, diabetes, peptic ulcer disease, chronic obstructive pulmonary disease, ischemic heart disease, hyperlipidemia, chronic kidney disease, heart failure, or renal dialysis between the ALD patients and non-ALD patients. The liver-related characteristics of surgical patients with and without preoperative ALD was showed in Additional file 1: Table S2.
Table 1.
Characteristics of surgical patients with and without preoperative alcoholic liver disease
| Alcoholic liver disease | p value | ||||
|---|---|---|---|---|---|
| No (N = 26,802) | Yes (N = 26,802) | ||||
| Age, years | n | (%) | n | (%) | 1.0000 |
| 20–29 | 670 | (2.5) | 670 | (2.5) | |
| 30–39 | 4184 | (15.6) | 4184 | (15.6) | |
| 40–49 | 9047 | (33.8) | 9047 | (33.8) | |
| 50–59 | 8294 | (31.0) | 8294 | (31.0) | |
| 60–69 | 3315 | (12.4) | 3315 | (12.4) | |
| ≥ 70 | 1292 | (4.8) | 1292 | (4.8) | |
| Mean ± SD | 50.1 ± 11.8 | 49.9 ± 11.1 | 0.1285 | ||
| Median (IQR) | 49.5 (15.0) | 49.5 (14.5) | 0.2749 | ||
| Sex | 1.0000 | ||||
| Male | 24,250 | (90.5) | 24,250 | (90.5) | |
| Female | 2552 | (9.5) | 2552 | (9.5) | |
| Low income | 1.0000 | ||||
| No | 26,146 | (97.6) | 26,146 | (97.6) | |
| Yes | 656 | (2.4) | 656 | (2.4) | |
| Volume of hospital | 1.0000 | ||||
| Low | 7302 | (27.2) | 7302 | (27.2) | |
| Medium | 8906 | (33.2) | 8906 | (33.2) | |
| High | 10,594 | (39.5) | 10,594 | (39.5) | |
| Medical conditions | |||||
| Mental disorders | 5151 | (19.2) | 5151 | (19.2) | 1.0000 |
| Hypertension | 3981 | (14.9) | 3981 | (14.9) | 1.0000 |
| Diabetes | 2779 | (10.4) | 2779 | (10.4) | 1.0000 |
| Peptic ulcer disease | 2172 | (8.1) | 2172 | (8.1) | 1.0000 |
| COPD | 593 | (2.2) | 593 | (2.2) | 1.0000 |
| Ischemic heart disease | 618 | (2.3) | 618 | (2.3) | 1.0000 |
| Hyperlipidemia | 719 | (2.7) | 719 | (2.7) | 1.0000 |
| Chronic kidney disease | 67 | (0.3) | 67 | (0.3) | 1.0000 |
| Heart failure | 55 | (0.2) | 55 | (0.2) | 1.0000 |
| Renal dialysis | 36 | (0.1) | 36 | (0.1) | 1.0000 |
| Inpatient care in past 2 years | 1.0000 | ||||
| 0 | 13,872 | (51.8) | 13,872 | (51.8) | |
| 1 | 7356 | (27.5) | 7356 | (27.5) | |
| 2 | 2486 | (9.3) | 2486 | (9.3) | |
| ≥ 3 | 3088 | (11.5) | 3088 | (11.5) | |
| Emergency care in past 2 years | 1.0000 | ||||
| 0 | 13,134 | (49.0) | 13,134 | (49.0) | |
| 1 | 6799 | (25.4) | 6799 | (25.4) | |
| 2 | 3063 | (11.4) | 3063 | (11.4) | |
| ≥ 3 | 3806 | (14.2) | 3806 | (14.2) | |
| Types of surgery | 1.0000 | ||||
| Digestive | 8914 | (33.3) | 8914 | (33.3) | |
| Musculoskeletal | 8978 | (33.5) | 8978 | (33.5) | |
| Neurosurgery | 2850 | (10.6) | 2850 | (10.6) | |
| Kidney, Ureter, Bladder | 1922 | (7.2) | 1922 | (7.2) | |
| Respiratory | 1543 | (5.8) | 1543 | (5.8) | |
| Cardiovascular | 391 | (1.5) | 391 | (1.5) | |
| Skin | 601 | (2.2) | 601 | (2.2) | |
| Breast | 79 | (0.3) | 79 | (0.3) | |
| Delivery, CS, Abortion | 229 | (0.9) | 229 | (0.9) | |
| Eye | 124 | (0.5) | 124 | (0.5) | |
| Others | 1171 | (4.4) | 1171 | (4.4) | |
| Types of anesthesia | 1.0000 | ||||
| General | 21,119 | (78.8) | 21,119 | (78.8) | |
| Epidural or Spinal | 5683 | (21.2) | 5683 | (21.2) | |
After adjusting for all covariates listed in Table 1 using multivariate logistic regression analyses (Table 2), we found that patients with ALD had higher risks of postoperative acute renal failure (OR 2.74, 95% CI 2.28–3.28), postoperative bleeding (OR 1.64, 95% CI 1.34–2.01), stroke (OR 1.51, 95% CI 1.34–1.70), septicemia (OR 1.47, 95% CI 1.36–1.58), pneumonia (OR 1.43, 95% CI 1.29–1.58), and 30-day in-hospital mortality (OR 2.64, 95% CI 2.24–3.11) compared with patients without ALD. The medical expenditures (3548 ± 6578 vs. 2939 ± 5187 US dollars; p < 0.0001) and hospital length of stay (10.9 ± 15.1 vs. 10.0 ± 15.8 days; p < 0.0001) of the index surgical admission were comparatively greater for the ALD patients than the non-ALD patients.
Table 2.
Risks of complications and mortality after non-hepatic surgeries for patients with and without alcoholic liver disease
| No ALD (N = 26,802) |
ALD (N = 26,802) |
Risk of outcomes | ||||
|---|---|---|---|---|---|---|
| Events | % | Event | % | OR | (95% CI)a | |
| 30-day in-hospital mortality | 204 | 0.8 | 523 | 2.0 | 2.64 | (2.24–3.11) |
| Postoperative complications | ||||||
| Acute renal failure | 165 | 0.6 | 438 | 1.6 | 2.74 | (2.28–3.28) |
| Postoperative bleeding | 155 | 0.6 | 253 | 0.9 | 1.64 | (1.34–2.01) |
| Stroke | 505 | 1.9 | 725 | 2.7 | 1.51 | (1.34–1.70) |
| Septicemia | 1287 | 4.8 | 1825 | 6.8 | 1.47 | (1.36–1.58) |
| Pneumonia | 701 | 2.6 | 974 | 3.6 | 1.43 | (1.29–1.58) |
| Deep wound infection | 208 | 0.8 | 241 | 0.9 | 1.16 | (0.96–1.40) |
| Pulmonary embolism | 14 | 0.1 | 17 | 0.1 | 1.22 | (0.60–2.47) |
| Urinary tract infection | 720 | 2.7 | 741 | 2.8 | 1.03 | (0.93–1.15) |
| Length of stay, daysb | 2939 ± 5187 | 3548 ± 6578 | p < 0.0001 | |||
| Medical expenditure, US dollarsb | 10.0 ± 15.8 | 10.9 ± 15.1 | p < 0.0001 | |||
ALD, Alcoholic liver disease; CI, confidence interval; OR, odds ratio
aAdjusted for all covariates listed in Table 1
bMean ± SD
In Table 3, the association between ALD and 30-day in-hospital mortality after nonhepatic surgeries was more significant in females (OR 4.07, 95% CI 1.63–10.1) than in males (OR 2.60, 95% CI 2.20–3.07). The 30-day in-hospital mortality after nonhepatic surgeries was associated with ALD in patients aged 30–39 years (OR 3.26, 95% CI 1.88–5.66), 40–49 years (OR 3.04, 95% CI 2.34–3.96), 50–59 years (OR 2.76, 95% CI 2.05–3.70), and 60–69 years (OR 2.00, 95% CI 1.26–3.17). The adjusted ORs for the association between ALD and 30-day in-hospital mortality after nonhepatic surgeries for patients with 0, 1, 2, and ≥ 3 medical conditions were 2.79 (95% CI 2.24–3.49), 2.70 (95% CI 2.06–3.55), 1.49 (95% CI 0.83–2.70), and 2.65 (95% CI 0.49–14.3), respectively.
Table 3.
The stratification analysis for the association between alcoholic liver disease 30-day in-hospital mortality
| n | 30-day in-hospital mortality | ||||
|---|---|---|---|---|---|
| Deaths | Mortality, % | OR | (95% CI)a | ||
| Female | |||||
| No ALD | 2552 | 6 | 0.2 | 1.00 | (reference) |
| ALD | 2552 | 23 | 0.9 | 4.07 | (1.63–10.1) |
| Male | |||||
| No ALD | 24,250 | 198 | 0.8 | 1.00 | (reference) |
| ALD | 24,250 | 500 | 2.1 | 2.60 | (2.20–3.07) |
| Age 20–29 years | |||||
| No ALD | 670 | 0 | 0.0 | 1.00 | (reference) |
| ALD | 670 | 4 | 0.6 | – | – |
| Age 30–39 years | |||||
| No ALD | 4184 | 17 | 0.4 | 1.00 | (reference) |
| ALD | 4184 | 54 | 1.3 | 3.26 | (1.88–5.66) |
| Age 40–49 years | |||||
| No ALD | 9047 | 77 | 0.9 | 1.00 | (reference) |
| ALD | 9047 | 224 | 2.5 | 3.04 | (2.34–3.96) |
| Age 50–59 years | |||||
| No ALD | 8294 | 62 | 0.8 | 1.00 | (reference) |
| ALD | 8294 | 166 | 2.0 | 2.76 | (2.05–3.70) |
| Age 60–69 years | |||||
| No ALD | 3315 | 28 | 0.8 | 1.00 | (reference) |
| ALD | 3315 | 55 | 1.7 | 2.00 | (1.26–3.17) |
| Age ≥ 70 years | |||||
| No ALD | 1292 | 20 | 1.6 | 1.00 | (reference) |
| ALD | 1292 | 20 | 1.6 | 1.00 | (0.53–1.89) |
| 0 medical condition | |||||
| No ALD | 13,871 | 110 | 0.8 | 1.00 | (reference) |
| ALD | 13,871 | 298 | 2.2 | 2.79 | (2.24–3.49) |
| 1 medical condition | |||||
| No ALD | 10,067 | 73 | 0.7 | 1.00 | (reference) |
| ALD | 10,067 | 192 | 1.9 | 2.70 | (2.06–3.55) |
| 2 medical conditions | |||||
| No ALD | 2521 | 19 | 0.8 | 1.00 | (reference) |
| ALD | 2521 | 28 | 1.1 | 1.49 | (0.83–2.70) |
| ≥ 3 medical conditions | |||||
| No ALD | 343 | 2 | 0.6 | 1.00 | (reference) |
| ALD | 343 | 5 | 1.5 | 2.65 | (0.49–14.3) |
| Digestive surgery | |||||
| No ALD | 8914 | 93 | 1.0 | 1.00 | (reference) |
| ALD | 8914 | 208 | 2.3 | 2.28 | (1.78–2.92) |
| Musculoskeletal surgery | |||||
| No ALD | 8978 | 23 | 0.3 | 1.00 | (reference) |
| ALD | 8978 | 73 | 0.8 | 3.21 | (2.01–5.14) |
| Neurosurgery surgery | |||||
| No ALD | 2850 | 51 | 1.8 | 1.00 | (reference) |
| ALD | 2850 | 164 | 5.8 | 3.38 | (2.46–4.66) |
| Kidney, Ureter, Bladder surgery | |||||
| No ALD | 1922 | 10 | 0.5 | 1.00 | (reference) |
| ALD | 1922 | 13 | 0.7 | 1.31 | (0.57–3.01) |
| Respiratory surgery | |||||
| No ALD | 1543 | 7 | 0.5 | 1.00 | (reference) |
| ALD | 1543 | 13 | 0.8 | 1.89 | (0.74–4.78) |
| Cardiovascular surgery | |||||
| No ALD | 391 | 14 | 3.6 | 1.00 | (reference) |
| ALD | 391 | 36 | 9.2 | 2.89 | (1.51–5.53) |
| Skin surgery | |||||
| No ALD | 601 | 1 | 0.2 | 1.00 | (reference) |
| ALD | 601 | 5 | 0.8 | 5.31 | (0.60–46.8) |
| Breast surgery | |||||
| No ALD | 79 | 0 | 0.0 | 1.00 | (reference) |
| ALD | 79 | 1 | 1.3 | – | – |
| Delivery, CS, Abortion surgery | |||||
| No ALD | 229 | 0 | 0.0 | 1.00 | (reference) |
| ALD | 229 | 1 | 0.4 | – | – |
| Eye surgery | |||||
| No ALD | 124 | 1 | 0.8 | 1.00 | (reference) |
| ALD | 124 | 1 | 0.8 | 1.00 | (0.04–24.4) |
| Others surgery | |||||
| No ALD | 1171 | 4 | 0.3 | 1.00 | (reference) |
| ALD | 1171 | 8 | 0.7 | 2.09 | (0.61–7.22) |
CI, confidence interval; OR, odds ratio
aAdjusted for all covariates listed in Table 1
Further analysis (Table 4) of the correlation between 30-day in-hospital mortality after nonhepatic surgeries and different severities of ALD showed that acute alcoholic hepatitis (OR 1.96, 95% CI 1.47–2.62), alcoholic cirrhosis of the liver (OR 3.94, 95% CI 3.30–4.70), alcoholic liver damage (OR 2.03, 95% CI 1.64–2.52), and suffering more than two alcoholic liver diseases (OR 2.64, 95% CI 2.01–3.48) were associated with 30-day in-hospital mortality. For patients with ALD, alcohol dependence syndrome (OR 3.07, 95% CI 2.39–3.94), jaundice (OR 4.82, 95% CI 3.68–6.32), ascites (OR 4.57, 95% CI 3.64–5.74), gastrointestinal hemorrhage (OR 3.84, 95% CI 3.09–4.79), hepatic coma (OR 4.41, 95% CI 3.44–5.67), and ≥ 2 types of alcoholic liver diseases (OR 4.58, 95% CI 3.67–5.71) were significant factors contributing to 30-day in-hospital mortality after nonhepatic surgeries.
Table 4.
Risks of postoperative mortality for surgical patients with the severity of alcoholic liver disease
| n | 30-day in-hospital mortality | ||||
|---|---|---|---|---|---|
| Deaths | Mortality, % | OR | (95% CI)a | ||
| Non-ALD controls | 26,802 | 204 | 0.8 | 1.00 | (reference) |
| Patients with | |||||
| Alcoholic fatty liver | 5557 | 31 | 0.6 | 1.03 | (0.70–1.51) |
| Acute alcoholic hepatitis | 4438 | 62 | 1.4 | 1.96 | (1.47–2.62) |
| Alcoholic liver damage, unspecified | 9600 | 144 | 1.5 | 2.03 | (1.64–2.52) |
| Alcoholic cirrhosis of liver | 10,579 | 366 | 3.5 | 3.94 | (3.30–4.70) |
| ≥ 2 alcoholic liver diseases | 3176 | 73 | 2.3 | 2.64 | (2.01–3.48) |
| ALD patients with | |||||
| Alcohol dependence syndrome | 3880 | 106 | 2.7 | 3.07 | (2.39–3.94) |
| Gastrointestinal hemorrhage | 4226 | 155 | 3.7 | 3.84 | (3.09–4.79) |
| Hepatic coma | 2265 | 109 | 4.8 | 4.41 | (3.44–5.67) |
| Ascites | 3040 | 143 | 4.7 | 4.57 | (3.64–5.74) |
| Jaundice | 1743 | 81 | 4.7 | 4.82 | (3.68–6.32) |
| ≥ 2 the above indicators | 3619 | 167 | 4.6 | 4.58 | (3.67–5.71) |
| Chronic hepatitis | 12,509 | 249 | 2.0 | 2.70 | (2.24–3.26) |
| Liver cirrhosis | 12,409 | 367 | 3.0 | 3.58 | (3.00–4.26) |
| Liver cancer | 1504 | 34 | 2.3 | 2.08 | (1.43–3.04) |
| Patients with ALD diagnosis within | |||||
| Preoperative 1–3 month | 4091 | 85 | 2.1 | 2.63 | (2.03–3.41) |
| Preoperative 4–6 month | 2551 | 53 | 2.1 | 2.60 | (1.91–3.54) |
| Preoperative 7–12 month | 4705 | 87 | 1.9 | 2.42 | (1.87–3.13) |
CI, confidence interval; OR, odds ratio
aAdjusted for all covariates listed in Table 1
Additional file 1: Table S3 showed the risks of postoperative mortality for surgical patients with the severity of alcoholic liver disease. Additional file 1: Table S4 showed the risks of postoperative adverse events for surgical patients with the severity of alcoholic liver disease.
Discussion
This is the first nationwide population-based study to discuss the postoperative risks in patients with ALD receiving nonhepatic surgery and present the association between ALD and 30-day in-hospital mortality. Patients with ALD displayed higher risks of postoperative acute renal failure, postoperative bleeding, postoperative stroke, postoperative septicemia, postoperative pneumonia, 30-day in-hospital mortality, length of stay, and medical expenditures compared with patients without ALD who underwent nonhepatic surgeries.
There were several strengths in this study, such as large sample size, propensity-score matching, validated database, and integrative assessment for postoperative outcomes. However, the study limitations suggest that caution should be taken when interpreting our study findings. First, physical examinations, laboratory data, and the patients’ sociodemographic and lifestyle characteristics could not be extracted from the reimbursement data in Taiwan’s National Health Insurance Research Database. Thus, we could not evaluate the influence of these factors on the perioperative outcome in patients with ALD. Second, we have no information regarding the severity of ALD, such as the Child–Pugh score or the Model score for End-stage Liver Disease score [13, 14]. Third, to identify ALD cases correctly, we required at least 2 medical care visits with a physician’s primary diagnosis of ALD for inclusion. We could not exclude the possibility that some ALD cases without medical care may have been included in the control group. Fourth, there were no details on the alcohol drinking status of participants because of the unavailable information in the claim database. We admitted this is also one of study limitations. Fifth, although the procedure and diagnosis codes of ALD has not been validated in the previous studies, we considered that the codes used in this study is reliable because the insurance claims and payment was strictly examined and reviewed by the Ministry of Health and Welfare, Taiwan. In addition, we could not analyze the duration of ALD for more the two years because of the unavailable data of insurance database. We also could not evaluate the influence of emergency surgeries on the postoperative outcomes in patients with ALD because we have no related information of emergency surgeries in this study. Finally, residual confounding bias may be possible, although we used propensity-score matching and multivariate regression adjustments.
To our knowledge, advanced age, sex, low income, hospital volume, medical conditions (such as mental disorders, hypertension, diabetes, peptic ulcer disease, chronic obstructive pulmonary disease, ischemic heart disease, hyperlipidemia, chronic kidney disease, heart failure and renal failure), type of surgery, and type of anesthesia were associated with postoperative outcomes [15–18]. After adjusting for these confounding factors, our findings suggest that ALD increased the risks of postoperative complications and 30-day in-hospital mortality following nonhepatic surgery.
Some possible reasons may help to explain the association between ALD and postoperative complications. First, acute renal failure is a common presentation in patients hospitalized for advanced liver cirrhosis with acute decompensation. Hepatorenal syndrome is one of the comorbidities of end-stage liver disease due to severe portal hypertension [19]. Moreover, during the perioperative period, prerenal hypoperfusion is worsened by the hypotension induced by anesthesia or surgical blood loss. Therefore, postoperative acute renal failure is more common in patients with alcoholic liver disease. Second, coagulation and thrombocytopenia are common problems in ALD patients [20]. Spontaneous deep bleeding into muscles and the retroperitoneum due to disordered and unstable coagulation has been reported [21]. Obviously, more postoperative bleeding problems are expected in patients with ALD than in patients without ALD. Third, some studies have reported that liver cirrhosis may cause endothelial dysfunction and chronic inflammation [22, 23]; as a result, both were suggested to be associated with increased ischemic and hemorrhagic stroke risks [11]. Fourth, chronic inflammation usually occurs in patients with ALD due to hepatic steatosis, oxidative stress, and acetaldehyde-mediated toxicity [24]. The long-term inflammation problem induced by cytokines and chemokines may impair the autoimmune system and may be associated with increased risks of septicemia and pneumonia [25]. Fifth, preoperative alcohol consumption is related to intraoperative and postoperative delirium, which will affect the sensitivity of symptom recognition and quality of care [26]. ALD patients usually have poor self-care abilities, family support, health knowledge, attitudes, and practices of disease prevention and treatments [26, 27]. Malnutrition is common in patients with chronic liver disease, which can also explain the poorer prognosis in ALD patients [28]. In addition, the comorbidities of patients with ALD, such as liver cirrhosis, encephalopathy, and ascites, may contribute to postoperative complications [12, 29]. Acute chronic liver failure presenting in advanced stages, precipitated by some special events, including bacterial infection, acute alcoholic, and drug-induced or viral hepatitis, is associated with increased morbidities and mortality [30]. These factors explain how ALD patients have worse postoperative complications, longer hospital length of stay, more medical expenditure, and increased mortality.
Our study suggested that ALD increases 30-day in-hospital mortality at all ages, especially in women. Sex-related differences in inflammatory and immune biomarker concentrations in ALD patients were reported [31]. Previous studies revealed that female drinkers are at greater risk of ALD than men due to their increased likelihood of developing acute liver failure from excessive alcohol use and more rapid progression of ALD [32]. Patients with ALD have an approximately 2.6-fold increased risk of 30-day in-hospital mortality, regardless of the number of medical conditions. This result implied that ALD affects patient mortality more than other diseases. In the subgroup analysis, ALD patients with acute alcoholic hepatitis, alcoholic liver damage, alcoholic liver cirrhosis and more than two alcoholic liver diseases had a 2–4-fold increase in 30-day in-hospital mortality. Among those different types of alcoholic liver disease, alcoholic liver cirrhosis most affected mortality in patients who underwent nonhepatic surgery. There are systemic comorbidities related to cirrhosis, such as hepatic encephalopathy, hepatorenal syndrome, and cirrhotic cardiomyopathy [19, 30, 33]. These comorbidities and their associated systemic organ damage may greatly affect surgical patient mortality following nonhepatic surgery. Furthermore, the ORs for 30-day in-hospital mortality were higher in ALD patients with alcohol dependence syndrome, gastrointestinal hemorrhage, hepatic coma, ascites, jaundice, and more than 2 of the above indicators. Alcohol dependence syndrome is related to chronic alcohol consumption, which has been previously determined to increase postoperative mortality [7, 34]. Liver function is usually assessed by the Child-Turcott-Pugh (CTP) classification and the Model for End-Stage Liver Disease (MELD) scores [13]. The Child-Turcott-Pugh classification considers five variables (serum bilirubin, albumin, prothrombin time, ascites, and hepatic encephalopathy), with higher classifications indicating worse prognosis in patients with cirrhosis [14]. Based on the above, our findings suggested that more severe ALD (with cirrhosis-related complications) increased 30-day in-hospital mortality in patients who underwent nonhepatic surgery.
The influence of ALD on perioperative outcomes is incompletely understood, and previous studies have focused on the effects of alcohol consumption instead of ALD [3, 7]. Although some studies mentioned that patients with liver cirrhosis have increased risks of postoperative complications and mortality [12, 35, 36], ALD does not consist of cirrhosis alone. ALD is the most prevalent type of chronic liver disease worldwide, and it can progress to alcoholic fatty liver and alcoholic steatohepatitis. Chronic alcoholic steatohepatitis eventually leads to fibrosis, cirrhosis, or hepatocellular carcinoma [24]. Our study described a more comprehensive design and explanation of the relationship between ALD and outcomes after nonhepatic surgery.
In conclusion, we found that patients with ALD had more complications and higher mortality after nonhepatic surgery compared with non-ALD controls, particularly those with severe liver symptoms. Further studies are needed to develop effective preventions for postoperative adverse events among patients with ALD.
Supplementary Information
Additional file 1. Table S1. Codes of liver-related surgical procedure. Table S2. Liver-related characteristics of surgical patients with and without preoperative alcoholic liver disease. Table S3. Risks of postoperative mortality for surgical patients with the severity of alcoholic liver disease. Table S4. Risks of postoperative adverse events for surgical patients with the severity of alcoholic liver disease
Acknowledgements
This study is based in part on data obtained from Taiwan’s Ministry of Health and Welfare. The authors’ interpretations and conclusions do not represent Taiwan’s Ministry of Health and Welfare.
Abbreviations
- ALD
Alcoholic liver diseases
- CI
Confidence interval
- ICD-9-CM
International Code of Diseases, Ninth Edition, Clinical Modification
- OR
Odds ratio
Author contributions
Conception and design: HYW, CCC, CCY, MYC, YGC, TLC, CCL; Acquisition of data: TLC; Analysis of data: CCL; Interpretation of data: HYW, CCC, CCY, MYC, YGC, TLC, CCL; Drafting the article: HYW, CCL; Revising it critically for important intellectual content: HYW, CCC, CCY, MYC, YGC, TLC, CCL; Final approval of the version to be published: HYW, CCC, CCY, MYC, YGC, TLC, CCL; Agreement to be accountable for all aspects of the work: HYW, CCC, CCY, MYC, YGC, TLC, CCL; TLC contributed equally with the corresponding author. All authors read and approved the final manuscript.
Funding
This work was supported by Taiwan’s Ministry of Science and Technology (MOST108-2320-B-038-070-MY3; MOST110-2314-B-038-108-MY2). The funder had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Availability of data and materials
The data that support the findings of this study are available from the Ministry of Health and Welfare, Taiwan but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the Ministry of Health and Welfare, Taiwan. We have made the formal application (included application documents, study proposals, and ethics approval of the institutional review board) of the current insurance data. The authors of the present study had no special access privileges in accessing the data which other interested researchers would not have.
Declarations
Ethics approval and consent to participate
We conducted this study in accordance with the Helsinki Declaration. To protect personal privacy, the electronic database was decoded and patient identifications were scrambled for further public access for research. The requirement of informed consent to participate was deemed unnecessary according to the regulations of the Ministry of Health and Welfare. The requirement of informed consent to participate was waived by the Institutional Review Board of Taipei Medical University that also evaluated and approved this study (TMU-JIRB-202203134; TMU-JIRB-201905042; TMU-JIRB-201902053; TMU-JIRB-201705063).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Ta-Liang Chen and Chien-Chang Liao contributed equally to this work.
References
- 1.Bradley KA, Rubinsky AD, Sun H, et al. Prevalence of alcohol misuse among men and women undergoing major noncardiac surgery in the Veterans Affairs health care system. Surgery. 2012;152:69–81. doi: 10.1016/j.surg.2012.02.007. [DOI] [PubMed] [Google Scholar]
- 2.Rehm J, Kailasapillai S, Larsen E, et al. A systematic review of the epidemiology of unrecorded alcohol consumption and the chemical composition of unrecorded alcohol. Addiction. 2014;109:880–893. doi: 10.1111/add.12498. [DOI] [PubMed] [Google Scholar]
- 3.Nath B, Li Y, Carroll JE, Szabo G, Tseng JF, Shah SA. Alcohol exposure as a risk factor for adverse outcomes in elective surgery. J Gastrointest Surg. 2010;14:1732–1741. doi: 10.1007/s11605-010-1350-4. [DOI] [PubMed] [Google Scholar]
- 4.Bradley KA, Rubinsky AD, Sun H, et al. Alcohol screening and risk of postoperative complications in male VA patients undergoing major non-cardiac surgery. J Gen Intern Med. 2011;26:162–169. doi: 10.1007/s11606-010-1475-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Rubinsky AD, Bishop MJ, Maynard C, et al. Postoperative risks associated with alcohol screening depend on documented drinking at the time of surgery. Drug Alcohol Depend. 2013;132:521–527. doi: 10.1016/j.drugalcdep.2013.03.022. [DOI] [PubMed] [Google Scholar]
- 6.Egholm JW, Pedersen B, Møller AM, Adami J, Juhl CB, Tønnesen H. Perioperative alcohol cessation intervention for postoperative complications. Cochrane Database Syst Rev. 2018;11:CD008343. doi: 10.1002/14651858.CD008343.pub3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Eliasen M, Grønkjær M, Skov-Ettrup LS, et al. Preoperative alcohol consumption and postoperative complications: a systematic review and meta-analysis. Ann Surg. 2013;258:930–942. doi: 10.1097/SLA.0b013e3182988d59. [DOI] [PubMed] [Google Scholar]
- 8.Shabanzadeh DM, Sørensen LT. Alcohol drinking does not affect postoperative surgical site infection or anastomotic leakage: a systematic review and meta-analysis. J Gastrointest Surg. 2014;18:414–425. doi: 10.1007/s11605-013-2275-5. [DOI] [PubMed] [Google Scholar]
- 9.Sheu MJ, Liang FW, Li ST, Li CY, Lu TH. Validity of ICD-10-CM codes used to identify patients with chronic hepatitis B and C virus infection in administrative claims data from the Taiwan National Health Insurance outpatient claims dataset. Clin Epidemiol. 2020;12:185–192. doi: 10.2147/CLEP.S236823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ho TW, Ruan SY, Huang CT, Tsai YJ, Lai F, Yu CJ. Validity of ICD9-CM codes to diagnose chronic obstructive pulmonary disease from National Health Insurance claim data in Taiwan. Int J Chron Obstruct Pulmon Dis. 2018;13:3055–3063. doi: 10.2147/COPD.S174265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wu HY, Lin CS, Yeh CC, et al. Cirrhosis patients' stroke risks and adverse outcomes: two nationwide studies. Atherosclerosis. 2017;263:29–35. doi: 10.1016/j.atherosclerosis.2017.05.030. [DOI] [PubMed] [Google Scholar]
- 12.Lin CS, Lin SY, Chang CC, Wang HH, Liao CC, Chen TL. Postoperative adverse outcomes after non-hepatic surgery in patients with liver cirrhosis. Br J Surg. 2013;100:1784–1790. doi: 10.1002/bjs.9312. [DOI] [PubMed] [Google Scholar]
- 13.Peng Y, Qi X, Guo X. Child-Pugh versus MELD score for the assessment of prognosis in liver cirrhosis: a systematic review and meta-analysis of observational studies. Medicine. 2016;95:e2877. doi: 10.1097/MD.0000000000002877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Piotrowski D, Sączewska-Piotrowska A, Jaroszewicz J, Boroń-Kaczmarska A. Predictive power of Model for End-Stage Liver Disease and Child-Turcotte-Pugh score for mortality in cirrhotic patients. Clin Exp Hepatol. 2018;4:240–246. doi: 10.5114/ceh.2018.80125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Swanson RS, Pezzi CM, Mallin K, Loomis AM, Winchester DP. The 90-day mortality after pancreatectomy for cancer is double the 30-day mortality: more than 20,000 resections from the national cancer data base. Ann Surg Oncol. 2014;21:4059–4067. doi: 10.1245/s10434-014-4036-4. [DOI] [PubMed] [Google Scholar]
- 16.Melvan JN, Sancheti MS, Gillespie T, et al. Nonclinical factors associated with 30-day mortality after lung cancer resection: an analysis of 215,000 patients using the National Cancer Data Base. J Am Coll Surg. 2015;221:550–563. doi: 10.1016/j.jamcollsurg.2015.03.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Heeney A, Hand F, Bates J, Mc Cormack O, Mealy K. Surgical mortality - an analysis of all deaths within a general surgical department. Surgeon. 2014;12:121–128. doi: 10.1016/j.surge.2013.07.005. [DOI] [PubMed] [Google Scholar]
- 18.Neuman MD, Silber JH, Elkassabany NM, Ludwig JM, Fleisher LA. Comparative effectiveness of regional versus general anesthesia for hip fracture surgery in adults. Anesthesiology. 2012;117:72–92. doi: 10.1097/ALN.0b013e3182545e7c. [DOI] [PubMed] [Google Scholar]
- 19.Amin AA, Alabsawy EI, Jalan R, Davenport A. Epidemiology, pathophysiology, and management of hepatorenal syndrome. Semin Nephrol. 2019;39:17–30. doi: 10.1016/j.semnephrol.2018.10.002. [DOI] [PubMed] [Google Scholar]
- 20.Tripodi A, Mannucci PM. The coagulopathy of chronic liver disease. N Engl J Med. 2011;365:147–156. doi: 10.1056/NEJMra1011170. [DOI] [PubMed] [Google Scholar]
- 21.Takamura M, Watanabe J, Sakamaki A, et al. Alcoholic liver disease complicated by deep bleeding into the muscles or retroperitoneum: report of three cases and a review of the literature. Intern Med. 2014;53:1763–1768. doi: 10.2169/internalmedicine.53.2123. [DOI] [PubMed] [Google Scholar]
- 22.Berzigotti A, Erice E, Gilabert R, et al. Cardiovascular risk factors and systemic endothelial function in patients with cirrhosis. Am J Gastroenterol. 2013;108:75–82. doi: 10.1038/ajg.2012.362. [DOI] [PubMed] [Google Scholar]
- 23.Beier JI, Arteel GE. Alcoholic liver disease and the potential role of plasminogen activator inhibitor-1 and fibrin metabolism. Exp Biol Med. 2012;237:1–9. doi: 10.1258/ebm.2011.011255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Seitz HK, Bataller R, Cortez-Pinto H, et al. Alcoholic liver disease. Nat Rev Dis Primers. 2018;4:16. doi: 10.1038/s41572-018-0014-7. [DOI] [PubMed] [Google Scholar]
- 25.Chan C, Levitsky J. Infection and alcoholic liver disease. Clin Liver Dis. 2016;20:595–606. doi: 10.1016/j.cld.2016.02.014. [DOI] [PubMed] [Google Scholar]
- 26.Stickel F, Datz C, Hampe J, Bataller R. Pathophysiology and management of alcoholic liver disease: update 2016. Gut Liver. 2017;11:173–188. doi: 10.5009/gnl16477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Alavinejad P, Hajiani E, Danyaee B, Morvaridi M. The effect of nutritional education and continuous monitoring on clinical symptoms, knowledge, and quality of life in patients with cirrhosis. Gastroenterol Hepatol Bed Bench. 2019;12:17–24. [PMC free article] [PubMed] [Google Scholar]
- 28.Luong R, Kim M, Lee A, Carey S. Assessing nutritional status in a cohort of liver cirrhosis outpatients: a prospective cross-sectional study. Nutr Health. 2020;26:19–25. doi: 10.1177/0260106019888362. [DOI] [PubMed] [Google Scholar]
- 29.Singal AK, Bataller R, Ahn J, Kamath PS, Shah VH. ACG clinical guideline: alcoholic liver disease. Am J Gastroenterol. 2018;113:175–194. doi: 10.1038/ajg.2017.469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Arroyo V, Moreau R, Kamath PS, et al. Acute-on-chronic liver failure in cirrhosis. Nat Rev Dis Primers. 2016;2:16041. doi: 10.1038/nrdp.2016.41. [DOI] [PubMed] [Google Scholar]
- 31.Kasztelan-Szczerbińska B, Surdacka A, Celiński K, et al. Prognostic significance of the systemic inflammatory and immune balance in alcoholic liver disease with a focus on gender-related differences. PLoS ONE. 2015;10:e0128347. doi: 10.1371/journal.pone.0128347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Szabo G. Women and alcoholic liver disease—warning of a silent danger. Nat Rev Gastroenterol Hepatol. 2018;15:253–254. doi: 10.1038/nrgastro.2018.8. [DOI] [PubMed] [Google Scholar]
- 33.Zardi EM, Zardi DM, Chin D, Sonnino C, Dobrina A, Abbate A. Cirrhotic cardiomyopathy in the pre- and post-liver transplantation phase. J Cardiol. 2016;67:125–130. doi: 10.1016/j.jjcc.2015.04.016. [DOI] [PubMed] [Google Scholar]
- 34.Smith S, White J, Nelson C, Davies M, Lavers J, Sheron N. Severe alcohol-induced liver disease and the alcohol dependence syndrome. Alcohol Alcohol. 2006;41:274–277. doi: 10.1093/alcalc/agl014. [DOI] [PubMed] [Google Scholar]
- 35.Ziser A, Plevak DJ. Morbidity and mortality in cirrhotic patients undergoing anesthesia and surgery. Curr Opin Anaesthesiol. 2001;14:707–711. doi: 10.1097/00001503-200112000-00018. [DOI] [PubMed] [Google Scholar]
- 36.Lopez-Delgado JC, Ballus J, Esteve F, et al. Outcomes of abdominal surgery in patients with liver cirrhosis. World J Gastroenterol. 2016;22:2657–2667. doi: 10.3748/wjg.v22.i9.2657. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Additional file 1. Table S1. Codes of liver-related surgical procedure. Table S2. Liver-related characteristics of surgical patients with and without preoperative alcoholic liver disease. Table S3. Risks of postoperative mortality for surgical patients with the severity of alcoholic liver disease. Table S4. Risks of postoperative adverse events for surgical patients with the severity of alcoholic liver disease
Data Availability Statement
The data that support the findings of this study are available from the Ministry of Health and Welfare, Taiwan but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the Ministry of Health and Welfare, Taiwan. We have made the formal application (included application documents, study proposals, and ethics approval of the institutional review board) of the current insurance data. The authors of the present study had no special access privileges in accessing the data which other interested researchers would not have.