Prognostic significance of the controlling nutritional status (CONUT) score in patients undergoing hepatectomy for hepatocellular carcinoma: a systematic review and meta-analysis

A systematic literature search was performed on July 4th 2019 in 5 publication repositories: Embase, Medline Ovid, Web of Science, Cochrane CENTRAL, and Google scholar. The full search for all repositories is appended to this article (Additional file 1: Table S1). The methods for developing our search have been detailed in a previous publication [6]. This study is reported according to the Preferred Reporting Items for Systematic Reviewers and Meta-Analyses (PRISMA) guidelines [7].

Inclusion criteria were the following: original article, patients undergoing hepatectomy for HCC; the preoperative assessment of the CONUT score; and reported postoperative outcomes. In the case of multiple publications by the same institute, the study focusing on long-term outcomes or the study with the last date of publication was included in the meta-analyses.

Titles, abstracts and full articles were screened independently by two investigators (KT and PD), according to the PRISMA guidelines. All original articles that met the criteria were included. From the included articles, year and country of study publication, study type, patient information, cut-off and prevalence of the CONUT score, and postoperative short-term and long-term outcomes were extracted. The methodological quality of each studies was evaluated based on the Newcastle-Ottawa quality assessment scale for cohort studies [8]. Studies with a total score with 6 or higher were considered high-quality studies [9].

The primary outcomes were overall survival (OS), defined as time from surgery to death or last follow-up, and recurrence-free survival (RFS), defined as time from surgery to recurrence or last follow-up/death. Secondary outcomes were postoperative complications and the clinicopathological parameters. Postoperative complications were graded based on the Clavien–Dindo classification (CDc) [10], with major complications defined as CDc ≥3. The clinicopathological parameters included the Child–Pugh classification (A versus B), the degree of liver cirrhosis, indocyanine green retention test after 15 min (ICGR15), and tumor characteristics (tumor size, tumor number [single versus multiple], tumor differentiation [well and moderate differentiated versus poorly differentiated], and microvascular invasion).

Random effects meta-analyses were conducted to estimate the average correlation of the CONUT score with OS and RFS. Random effects models were used, as the populations were heterogeneous and consisted of patients deriving from different countries and undergoing different treatment protocols. The pooled hazard ratio (HR) with 95% confidence interval (95%CI) and the mean difference (MD) for continuous variables with 95%CI were calculated using the inverse variance method. The pooled odds ratio (OR) for dichotomous variables was calculated using the Mantel-Haenszel method. Heterogeneity among studies was quantified by calculating the I² values and the Chi-square test, with P < 0.05 being statistically significant and I² values of 50% or more indicating the presence of heterogeneity. Potential publication bias for outcomes was examined using Funnel plots. Analyses were conducted using R 3.5.4 (cran.​r-project.​org) and Review Manager 5.3 (Cochrane Collaboration, 2014).

From 366 retrieved clinical records, seven articles met the inclusion criteria (Fig. 1) [11‐17]. All included studies were retrospective series from Asian countries, more specifically Japan and China (Table 1). There were six single center studies [11‐13, 15‐17] and one multi-center study [14]. Regarding the cut-off value of the CONUT score, six studies used preoperative CONUT score with the following cut-off values: CONUT ≤1 vs CONUT ≥2 in one study [17], CONUT ≤2 vs CONUT ≥3 in two studies [11, 16], and CONUT ≤3 vs CONUT ≥4 in two studies [12, 14], and CONUT ≤4 vs CONUT ≥5 in one study [13]. While postoperative CONUT score was used in one study with the cut-off value of CONUT ≤7 vs CONUT ≥8 [15]. The prevalence in patients with high CONUT score ranged between 19 and 49%. Five studies [11, 12, 14, 16, 17] focused on long-term outcome as primary endpoints, and two studies [13, 16] focused on short-term outcome. The quality assessment of the included studies found that all studies were considered to be of high-quality with a score of 6 or higher based on the Newcastle-Ottawa quality scale (details shown in Additional file 1: Table S2).

The literatures reporting the effects of the CONUT score on outcome in patients undergoing hepatectomy for HCC are summarized in Table 2.

Five studies reported data on OS and RFS [11, 12, 14, 16, 17]. The Kaplan-Meier curve showed that patients with preoperative high CONUT score had a significantly poorer prognosis in terms of OS and RFS than those with low CONUT score in all studies. In the multivariable analyses, preoperative CONUT score was identified as an independent predictor associated with OS in all five studies. Regarding RFS, three studies [11, 14, 16] showed a significant association between preoperative CONUT score and RFS in the multivariable analysis, whereas two studies [12, 17] showed no significant association.

All studies reported data on postoperative complications including major complications in five studies [11‐14, 16], overall complications in three studies [13, 16, 17] and mortality in two studies [13, 15]. Takagi et al. [11, 13] showed no significant association between preoperative CONUT score and overall and major complications, but found the preoperative CONUT score to be associated with an increased risk of mortality after hepatectomy (OR 9.41, 95%CI = 1.15–77.4, P = 0.038). In addition, a higher CONUT score was related to the incidence of postoperative ascites, posthepatectomy liver failure, sepsis and enteritis. Harimoto et al. [14] reported significant differences between the groups in terms of major complications based on multi-center analysis (low CONUT: 11.0% vs. high CONUT: 17.7%; P < 0.01). Li et al. [15] demonstrated that early postoperative CONUT score was independently associated with major complications (OR 2.05, 95% CI = 1.37–3.01, P < 0.001). The CONUT score was also associated with postoperative pulmonary complications, bile leakage, intra-abdominal hemorrhage and posthepatectomy liver failure (grade C). Wang et al. [16] showed significant differences between the groups in overall complications (low: 59.3% vs. high: 74.3%; P = 0.029), however Lin et al. [17] found no significant differences in overall complications (low: 23.3% vs. high: 29.4%; P = 0.177).

Data on hepatic functional reserve and pathological findings including the degree of hepatic cirrhosis were examined in three studies [11, 12, 14]. Takagi (2017) et al. [11] reported that the CONUT score was significantly associated with platelet count (normal nutrition: 19.7 × 10⁴/μL vs. light undernutrition: 16.9 × 10⁴/μL vs. moderate undernutrition: 18.0 × 10⁴/μL; P = 0.003), prothrombin time (normal: 104% vs. light: 96% vs. moderate: 90%; P < 0.001), Child–Pugh classification grade B (normal: 2.4% vs. light: 0.6% vs. moderate: 5.4%; P = 0.01), technetium-99 m-galactosyl human serum albumin, and the hepatic cirrhosis (normal: 39% vs. light: 51% vs. moderate: 66%; P = 0.017). Harimoto (2017) et al. [12] found the significant association between the CONUT score and prothrombin time (low CONUT: 90% vs. high CONUT: 83%; P < 0.01), the Child–Pugh classification grade B (low: 4% vs. high: 26%; P < 0.01), and liver damage grade B (low: 13% vs. high: 50%; P < 0.01), but no association with ICGR15 (low: 14% vs. high: 16%; P = 0.12), hepatic cirrhosis (low: 41% vs. high: 52%; P = 0.11), and tumor characteristics. Harimoto (2018) et al. [14] demonstrated significant differences regarding total bilirubin (low: 0.79 mg/dl vs. high: 0.84 mg/dl; P < 0.01), prothrombin time (low: 93% vs. high: 85%; P < 0.01), ICGR15 (low: 15% vs. high: 20%; P < 0.01), the Child–Pugh classification grade B (low: 2% vs. high: 22%; P < 0.01), and hepatic cirrhosis (low: 47% vs. high: 64%; P < 0.01), however no differences regarding tumor characteristics. Li et al. [15] showed no differences of Child–Pugh classification grade B (low: 2.5% vs. high: 3.3%; P = 0.37), tumor characteristics, but hepatic cirrhosis (low: 54% vs. high: 64%; P < 0.001). Wang et al. [16] investigated the effect of the CONUT score in predicting postoperative hepatitis B reactivation (PHR). They found that the incidence of PHR was significantly higher in patients with high CONUT score (low: 5% vs. high: 32%; P < 0.001) and the CONUT score was strongly associated with PHR (HR 7.66, 95%CI: 2.47–23.8, P < 0.001) in the logistic regression model. Lin et al. [17] constructed the nomogram including the CONUT score, liver cirrhosis, tumor size and differentiation as prognostic variables. They reported the CONUT-based nomogram (the C-index 0.71, 95%CI: 0.65–0.77) had superior discriminative ability to predict overall survival compared with conventional staging systems such as the BCLC stage (the C-index 0.63, 95% CI: 0.58–0.68), the TNM classification (the C-index 0.59, 95% CI: 0.53–0.64), and the CLIP score (the C-index 0.58, 95% CI: 0.53–0.64).

From seven studies included in the systematic review, two articles were excluded in the meta-analysis as duplicate data from the same institute was reported. Accordingly, five articles with 4679 patients were included in the meta-analysis [11, 14‐17].

Based on four studies including 3345 patients [11, 14, 16, 17], patients with high CONUT score had a significantly worse OS and RFS compared with those with low CONUT score (OS: HR 1.78, 95%CI = 1.20–2.64, P = 0.004, I² = 79%, P < 0.01; RFS: HR 1.34, 95%CI = 1.17–1.53, P < 0.001, I² = 16%, P = 0.31), as shown in Fig. 2. A significant heterogeneity was found across the studies with respect to OS. Funnel plots of OS and RFS are demonstrated in Additional file 1: Figure S1.

Figure 3 shows results of the meta-analyses for the secondary outcomes in terms of high CONUT group versus low CONUT group. Meta-analyses showed that the CONUT score was associated with the incidence of postoperative major complications (OR 1.85, 95% CI: 1.19–2.87, P = 0.006, I² = 72%, P = 0.03), the Child–Pugh classification B (OR 6.12, 95% CI: 1.88–20.0, P = 0.003, I² = 92%, P < 0.001, liver cirrhosis (OR 1.89, 95% CI: 1.51–2.35, P < 0.001, I² = 46%, P = 0.13), and ICGR15 (MD 4.21, 95%CI: 3.21–5.21, P < 0.001, I² = 0%, P = 0.54). Regarding tumor characteristics, the CONUT score was associated with tumor differentiation (OR 1.24, 95% CI: 1.06–1.46, P = 0.008, I² = 0%, P = 0.97). However, no significant association was found in tumor size (MD 0.17, 95% CI: − 0.05–0.38, P = 0.12, I² = 0%, P = 0.85), tumor number (OR 1.15, 95% CI: 0.97–1.38, P = 0.12, I² = 11%, P = 0.34), and microvascular invasion (OR 1.11, 95% CI: 0.96–1.29, P = 0.16, I² = 0%, P = 0.75).