www.journalonsurgery.org

Research Article

Open Access, Volume 3

Combining SIRI and AFR to Predict Early Serious Complications and Recurrent or Metastases after Respectable Gastric Cancer

Jingyao Ren1,2,3,4; Da Wang2-5; Lihui Zhu1,2,3,4; Shuo Liu2,3,4,6; Miao Yu2-4; Hui Cai1,2,3,4,5,6*

1School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750000, China.
2General Surgery Clinical Medical Center, Gansu Provincial Hospital, Lanzhou, Gansu 730000, China.
3Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Provincial Hospital, Gansu 730000, China.
4NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou 730000, China.
5Medical College of Jiangsu University, No.301 Xuefu Road, Jingkou District, Zhenjiang 212013, China.
6The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu 730000, China.

Abstract

Background: The aim of this study was to assess the clinical importance and prognostic significance of Systemic Inflammatory Response Index (SIRI) and the Albumin Fibrinogen Ratio (AFR) on early postoperative outcomes in patients undergoing radical gastric cancer surgery.

Methods: We conducted a retrospective analysis of the clinicopathological characteristics and relevant laboratory indices of 568 patients with gastric cancer. We examined the diagnostic ability of the combination of SIRI and AFR for early postoperative serious complications. We compared three groups of patients to evaluate the prognostic value of various preoperative SIRI-AFR scores for early postoperative recurrence or metastasis.

Results: The results demonstrated that the SIRI-AFR score was an independent risk factor for early postoperative recurrence or metastasis and had the highest diagnostic power for early serious complications in patients with gastric cancer.

Conclusion: Preoperative SIRI and AFR were significantly associated with early post-operative recurrence or metastasis and the occurrence of severe complications in patients with gastric cancer.

Keywords: Inflammation; Albumin fibrinogen ratio; Gastric cancer; Complications; Prognosis.

Manuscript Information: Received: Aug 11, 2023; Accepted: Sep 08, 2023; Published: Sep 15, 2023

Correspondance: Hui Cai, School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750000, China.
Email: caialonteam@163.com

Citation: Ren J, Wang D, Zhu L, Liu S, Cai H, et al. Combining SIRI and AFR to Predict Early Serious Complications and Recurrent or Metastases after Respectable Gastric Cancer. J Surgery. 2023; 3(2): 1117.

Copyright: © Cai H 2023. Content published in the journal follows creative common attribution license.

Introduction

Ranking fifth in morbidity and fourth in fatality in all malignancies, gastric cancer is one of the most prominent diseases world-wide [1]. Similarly, gastric cancer has made a great contribution to the cancer burden in China. Gastric cancer is the second highest cancer to be diagnosed and the secondary consideration of cancer-related death in China. As a transitioning country, China bears a massive burden of the morbidity/mortality and five-year prevalence rate for gastric cancer compared to most developed countries [2]. Surgery-based multidisciplinary comprehensive treatment remains the paramount approaches to selection for treating gastric cancer [3]. An essential course of treatment for non-metastatic gastric cancer is gastroplasty with lymph node dissection [4].

Gastrectomy offers a substantial risk of postoperative complications despite significant improvements in surgery and anesthetic procedures, postoperative care, and interventional radiology related to stomach cancer [5]. At the same time, recurrences are common. In actuality, postoperative complications following gastric surgery were reported to be 46% [6]. Undeniably, these complications may reduce quality of life, postpone the start of adjuvant treatment, and impede recovery [7]. Meanwhile, patients with conditions are at greater risk of disease recurrence [8]. Relevant evidence reveals that more than 70% of recurrence and cancer-related mortality develop within two years of surgery, and the recurrence and metastasis of gastric cancer can lead to a significant shortening of the time a patient survives [9].

Chronic and sustained inflammation of the gastric mucosa has been demonstrated to not only act as a stimulant to the occurrence and advancement of gastric cancer [10], furthermore, the inflammatory response stimulates and releases systemic cytokines, which attract the growth of remained cancer cells and promote postoperative recurrence and metastasis [8]. A increasing variety of studies has revealed that several newly established inflammation-based indicators: Neutrophil-To-Lymphocyte Ratio (NLR), Lymphocyte-To-Monocytes Ratio (LMR), Lymphocyte-To-C Reactive Protein Ratio (LCR) [11], including Fibrinogen-To-Albumin Ratio (FAR) [12] and SIRI [13] play an instrumental part in the diagnosis, staging and prediction of gastric cancer. For example, Fibrinogen-NLR (F-NLR) have served to prognostic prediction of patients with esophageal-gastric junction and superior gastric cancer after gastrectomy and have shown favourable predictive effects [14]. Therefore, in order to further explore preoperative indicators that can easily and accurately identify the risk of complication in the early post-operative period and recurrence or metastasis for patients undergoing radical gastrectomy, we propose to combine SIRI and AFR these two biochemical markers with the aim of improving the sensitivity of assessing inflammation, nutritional status and coagulation to improve the accuracy and specificity of predicting postoperative outcomes in short and long-term for patients with gastric carcinoma.

Materials and methods

Patients and follow-up

We conducted retrospective research on patients at the Gansu Provincial Hospital (Lanzhou, China) who had gastric cancer that had been verified by histology from January 2018 to December 2019. The research protocols for the current investigation, which conformed to the principles of the Declaration of Helsinki, and received approval from the ethics board. Ethical consent: 21/10/2022-410, Gansu Provincial Hospital Medical Ethics Committee. From medical records, information was gathered on the sex, age, tumor dimensions, tumor localization metastatic rate of lymph nodes, degree of tumor differentiation, immunohisto-chemistry results (ki67, P53, Her2), TNM stage (refer to the American Joint Commission on Cancer (AJCC) gastric cancer TNM staging criteria (eighth edition)), ASA score, surgical approach, extent of resection, duration of surgery, blood loss, periprocedural blood transfusion, length of hospitalization, duration of postoperative enteral nutrition. Inclusive criteria: (i) Between 18 and 80 years of age with a clinically definite diagnosis of preoperative gastric malignancy; (ii) Patients with postoperative pathological results confirming primary gastric cancer; (iii) Patients undergoing D1/ D1+/D2 lymph node dissection with radical R0 resection for the first time for radical gastric cancer. Exclusion criteria: (i) Patients with distant tumor metastasis; (ii) Patients with combined hematological diseases, autoimmune diseases, infectious diseases or liver dysfunction that may affect white blood cells; (iii) Preoperative neoadjuvant therapy (radiotherapy or chemotherapy); (iv) Combined with other malignant tumors; (v) Incomplete data. Participants in the included studies were followed up by telephone contact, outpatient review, hospitalization and others. Patients were carefully followed-up every 3 to 6 months after surgery. Annual follow-up was implemented after two years. Follow-up outcomes were recurrence or metastasis within three years of surgery. Postoperative recurrent metastases were defined as the reappearance of malignancy associated with the primary lesion or the presence of abdominal metastases, with or without distant metastases, after radical resection. The last follow-up was processed in December 2022.

Laboratory variables and definition of fibrinogen albumin ratio and SIRI Index (SIRI-AFR)

Relevant indicators levels were assessed in blood samples drawn within a week prior to the surgery. Retrospective analysis and data collection from the electronic medical records included additional parameters. In-hospital or within 30 days occurring were categorized as early postoperative complications, and all complications were graded for severity refer to the Clavien-Dindo complication grading system [15], with Grade I or II complications were categorized into minor complications, whereas Grade III and higher were characterized as major complications. The general post-operative pathology specimen’s lengthy diameter was used to calculate the tumor size. Primary tumor locations were classified as upper, middle and lower stomach, accordingly. There were two categories for differentiation level: badly differentiated and moderately/well differentiated.

SIRI and AFR were calculated as the following: SIRI = Neutrophil count × Monocyte count/Lymphocyte count, AFR = Albumin/ Fibrinogen. Determined by the SIRI and AFR cut-off values, a scoring system was developed. Patients with a SIRI ≥ 1.007 and a AFR ≤9.849 were distributed a SIRI-AFR of 2, patients with a SIRI <1.007 and a AFR > 9.849 were allocated a SIRI-AFR score of 0, and those with only one of SIRI ≥ 1.007 or AFR ≤ 9.849 were granted a SIRI-AFR of 1.

Statistical analysis

All of the statistically analyzed were completed utilizing the IBM SPSS for Windows, version 26.0 (IBM statistics for Windows, version 26, IBM Corporation, Armonk, New York, United States). Categorize material were indicated as n (number) and percentage (%), for normally distributed measures the information is described as the mean ± standard deviation and the non-normally distributed continuous variables it is expressed as the median (Interquartile Range (IQR)). The paired groups were contrasted using either the Mann Whitney-U test or the Student’s t-test, depending on the normality of the data distribution. The Chi-square test was used to evaluate categorical group differences. To identify factors affecting postoperative complications, logistic regression models were employed. Receiver operating characteristic curves with Youden indices were employed to establish the most favorable cut-off values for each outcome. Values of the Area Under the Curve (AUC) were supplied with a 95% Confidence Interval (CI). The Hazard Ratios (HRs) for disease recurrence or metastasis were calculated applying Cox proportional hazards models. P<0.05 was designated as statistical significance.

Results

Patient characteristics

The flowchart for patient screening was displayed in Figure 1. In total, 568 patients fit the inclusion criteria. No chemotherapy or radiotherapy was administered to any of the patients prior to surgery, and there was no perioperative mortality included. This study included 442 men and 126 women. The average age of the population group was 60.29 ± 9.79 (25-87). The average BMI ratio prior surgery for all patients was 22.20 ± 3.37. 31.7% (n = 180) of the patients were operated with open 40.0% (n = 227) with laparoscopic approach and 28.3% (n = 161) with robot-assisted. On the basis of the AJCC staging standards, 119 (21.0%) patients were categorized as stage I, stage II patients accounted for 178 (31.3%), and stage III patients made up 271 (47.7%). No patient was disregarded in the follow-up process. A median follow-up time of 45 months was established for all patients, ranging from 12 to 61 months.

The clinical characterization of the study population was shown in Table 1, along with a comparison of the characteristics and clinical aspects of the two group of patients who had no complications (no) and/or experienced minor complications and those who had major complications. The description of the features and clinicopathological comparison between the group of who did not experience recurrence or metastasis and the group of patients who did recurrence or metastasis were displayed in Table 5.

Postoperative complications

A total of 89 (15.7%) patients in our statistics suffered serious complications. The occurrence of early postoperative complications in individuals experiencing radical gastrectomy was showed in Table 2. Complications included duration of enteral nutrition was longer than 2 weeks in 26 patients, infection-related complications (incision infection, abdominal infection, pulmonary infection) in 234 patients, anastomotic fistula in 6 patients, pyloric or intestinal obstruction in 14 patients, thrombosis or embolism in 15 patients, and seven patients developed postoperative shock, they were all rescued after treatment.

In accordance with Table 1, age (p = 0.046), BMI (p = 0.003), tumour size (<3/≥3 cm/) (p = 0.014), resection range (p = 0.019), perioperative transfusion (p < 0.001), and hospital stay (p < 0.001) were statistical significance between the two groups. For laboratory parameters, lymphocytes (p < 0.001), neutrophils (p < 0.001), platelets (p = 0.013), monocytes (p = 0.032), albumin (p < 0.001), fibrinogen (p < 0.001), CEA (p = 0.011), SIRI (p < 0.001) and AFR (p < 0.001) also differed significantly between groups.

Correlations between SIRI, AFR and the clinicopathological characteristics of gastric cancer

In accordance with the results in Table 3, Preoperative SIRI level was related to the sex (p = 0.002), resection range (p = 0.008) among patients of gastric cancer. AFR had an association with the degree of tumor differentiation (p = 0.002) and duration of enteral nutrition (p = 0.01). Meanwhile, both preoperative conditions were related to age, tumour size (<3/≥3 cm), TNM stage, perioperative transfusion, CA199, CEA, amount of bleeding, relapse or metastasis (p < 0.05).Upon further analysis, among patients under 60 years of age, SIRI levels were lower and AFR levels were higher (SIRI, p = 0.038; AFR, p < 0.001), and SIRI levels were higher and AFR levels were lower in individu- als with a maximum tumor diameter >3 cm (SIRI, p < 0.001; AFR, p < 0.001). Furthermore, the level of SIRI in stage III was the highest of the clinical stages, the level of AFR in stage III was the lowest of the clinical stages (SIRI, p < 0.001; AFR, p < 0.001). For the peri- operative blood transfusion patients, the level of SIRI was higher and the level of AFR was lower (SIRI, p < 0.001; AFR, p < 0.001). Group of CA199 and CEA positive patients, SIRI levels were higher and AFR levels were lower (SIRI, p = 0.023, p < 0.001; AFR, p = 0.001 p < 0.001). The highest SIRI levels and lowest AFR levels were observed in the group with intraoperative blood loss >400 ml (SIRI, p < 0.001; AFR, p < 0.001). The SIRI level of patients with gastric cancer with relapse or metastasis was noticeably raised (p < 0.001), and the AFR level was prominently reduced (p < 0.001).

Significance of preoperative SIRI and AFR levels for early serious postoperative complications in respectable gastric cancer

Table 4 listed the outcomes of the Univariate regression analysis that was executed to establish the OR values for the complication estimation. The result suggested that high preoperative SIRI was substantially related with early serious postoperative complications (P < 0.001; HR 1.429; 95% CI 1.175-1.738). Meanwhile, elevated preoperative AFR levels was a protective factor against postoperative complications (P < 0.001; HR 0.729; 95% CI 0.665-0.799;). Additionally, age, BMI, tumor size (<3/≥3 cm), resection range, perioperative transfusion and CEA (<5/≥5 ng/mL) were other noteworthy variables revealed by univariate analysis (P < 0.05). Regards to multivariable analyses, preoperative SIRI and AFR remained an independent influencing indicator for postoperative complications. (SIRI: P = 0.02; HR 1.222; 95% CI 1.031-1.446; AFR: P < 0.001; HR 0.771; 95% CI 0.701-0.848). Furthermore, resection range (P=0.044; HR 1.682; 95% CI 1.015-2.787) and perioperative transfusion (P = 0.008; HR 2.028; 95% CI 1.202-3.422) were other contributing factors.

Evaluation of predictive abilities for SIRI and AFR

Since the previous statistical findings concluded that high levels of AFR are a protective parameter for postoperative complications, in order to facilitate the calculation of the predictive power of SIRI combined with AFR, we take fibrinogen to albumin ratio (the reciprocal of AFR) as the calculation amount. ROC curve generation and AUC calculation were used to determine the prediction capabilities of SIRI and AFR. The AUC values of SIRI, AFR, and SIRI combine AFR levels were summarized in Figure 2. The AUC values computed for the SIRI: AUC 0:765; 95% CI 0.714-0.815), the AFR: AUC 0:743; 95%CI 0.689-0.797, the SIRI-AFR: AUC 0:779; 95% CI 0.737-0.820.

Figure 1: The patient selection flowchart of the present study.

Figure 2: The ROC curve analysis of SIRI, AFR and SIRI-AFR for postoperative early serious complications.

Figure 3: Effect of SIRI-AFR score on recurrence or metastasis rates in patients with gastric cancer. (P value was calculated by the log-rank test)

Establishment of the SIRI-AFR Score.

Based on the appropriate cut-off values for each determinant which were established using receiver operating characteristic curves with Youden’s index, patients were grouped accordingly. Corresponding to the SIRI-AFR system, 219 (38.6%), 224 (39.4%), and 125 (22.0%) patients had scores of 0, 1, and 2, accordingly.

The correlation between clinicopathological and relapse or metastasis

The relationship between relapse or metastasis and clinicopathological factors was exhibited in Table 5. Recurrence or metastasis within 3 years in patients receiving radical resection of gastric cancer was associated with these factors: Age (p = 0.019), tumour location (p = 0.012), tumour size (<3/≥3 cm/) (p < 0.001), differentiated degree (p = 0.033), Her-2 (p = 0.042), TNM stage (p < 0.001), perioperative transfusion (p < 0.001), operation time (p = 0.001) , lymph node metastasis rate (p < 0.001), lymphocytes (p < 0.001), neutrophils (p < 0.001), platelets (p = 0.002), monocytes (p < 0.001), albumin (p < 0.001), fibrinogen (p < 0.001), SIRI (p < 0.001), AFR (p < 0.001), SIRI-AFR score (p < 0.001), CA199 (p =0.001), CEA (p < 0.001), postoperative complication (p < 0.001) and postoperative adjuvant chemotherapy (p = 0.012).

Univariate and multivariate Cox regression analysis for relapse or metastasis

Among patients of stomach carcinoma, univariate analyses identified that the greater risk of relapse or metastasis was profoundly associated with correlated with older age (p = 0.009), lower tumour location (p = 0.006), large tumor size (p < 0.001, later clinical stage (p < 0.001), longer operating time (p = 0.002), perioperative transfusion (p < 0.001), positive CA199 (p < 0.001), positive CEA (p < 0.001), major postoperative complication (p < 0.001), no postoperative adjuvant chemotherapy was performed (p = 0.006), high SIRI-AFR score (p < 0.001). Multivariate analysis revealed that TNM stage (p = 0.002; HR 5.100, 95% CI 1.847- 14.086), operation time (p = 0.029; HR 1.003, 95.0% CI 1.000-1.005), perioperative transfusion (p = 0.009; HR 1.660, 95.0% CI 1.135-2.428), positive CEA (p = 0.025; HR 1.528; 95% CI 1.054-2.213), postoperative adjuvant chemotherapy (p = 0.008; HR 0.475, 95% CI 0.273-0.826), SIRI-AFR score (p < 0.001; HR 4.363, 95% CI 2.170-9.037) were the independently determined prognostic variables for relapse or metastasis (Table 6). Further, as presented in Fig 3, we observed that the SIRI-AFR score could effectively differentiate patients into three distinguishing risk groups for recurrence or metastasis.

Discussion

As a malignancy, gastric cancer seriously endangers public health [16], and the occurrence of serious complications and recurrence and metastasis after surgery were still difficult problems for clinicians. The development of gastric cancer was a multigene, multi-step process and certain key factors may participate in the development of gastric cancer and even infiltration and metastasis at some stage. The systematic inflammatory response and nutritional situation were two considerable contributing factors [17]. SIRI and AFR were valuable novel procedures to evaluate the inflammatory and nutritional condition of patients. To our knowledge, no studies have been done to examine how SIRI and AFR affect patients who received radical gastric cancer surgery in terms of early postoperative serious complications, early postoperative recurrence or metastases. We created novel markers in the current study and evaluated their diagnostic and predictive potential to aid in the early identification and therapy of gastric cancer.

Correa sequence, the canonical theory of cancer development in the stomach, indicated the inflammatory response was an indispensable component in the tumor progression [17]. The epidemiological and clinical investigations provided substantial evidences that inflammation is associated with supporting the growth of dissemination tumour cells [18]. Neutrophils, as an essential element of tumor microenvironment, it participated in tumor progression via multiple mechanisms, and activation of neutrophils pathologically may symbolize the beginning of comprehension the procedures behind reactivation of dormant tumor cells [19]. Moreover, neutrophils produced substances, such as chemokines, cytokines, stromal degrading proteases and reactive oxygen species, which can alter tumour growth and invasiveness. Several studies have shown that neutrophils promote tumour progression through stromal degradation and cancer cell proliferation [20]. Largely, neutrophil physiology at the cellular and molecular levels seems to determine that their primary function is to facilitate transferential seeding. Neutrophil extracellular traps, shaped by molecularly released DNA intended to capture tumor cells in the circulation. Such an entanglement of circulating tumor cells may be beneficial to intraluminal survival, adhesion to endothelium, and extravasation [21].

Table 1: Patient baseline characteristics and their correlations with complications after resectable gastric cancer.
Variables Minor/no complication n = 479 (84.3%) Major complication n = 89 (15.7%) P values
Gender  Male  378(78.9%) 64(71.9%) 0.144a
Female 101(21.1%) 25(28.1%)
Age (y) 59.93±9.66 62.19±10.33 0.046b
Underlying disease No 382(79.7%) 75(84.3%) 0.323a
Yes 97(20.3%) 14(15.7%)
BMI 22.37±3.36 21.23±3.28 0.003b
Tumour location Upper third  56(11.7%) 15(16.9%) 0.537a
Middle third  44(9.2%) 8(9.0%)
Lower third 377(78.7%) 66(74.2%)
Tumor dimensions (cm) <3  148(30.9%) 16(18.0%) 0.014a
≥3 331(69.1%) 73(82.0%)
Differentiation Moderate and poor  460(96.0%) 86(96.6%) 1a
Well 19(4.0%) 3(3.4%)
TNM stage I 106(22.1%) 13(14.6%) 0.236a
II 150(31.3%) 28(31.5%)
III 223(46.6%) 48(53.9%)
Approach Open  149(31.1%) 31(34.8%) 0.539a
Laparoscopic  190(39.7%) 37(41.6%)
Robot-assisted 140(29.2%) 21(23.6%)
Operation Subtotal gastrectomy  248(51.8%) 34(38.2%) 0.019a
Total gastrectomy  231(48.2%) 55(61.8%)
ASA I-II 433(90.4%) 76(85.4%) 0.155a
III-IV 46(9.6%) 13(14.6%)
Blood loss (ml) 100(100) 150(200) 0.089c
Duration of surgery (minutes) 240(90) 250(85) 0.079a
Perioperative transfusion No 389(81.2%) 50(56.2%) <0.001a
Yes 90(18.8%) 39(43.8%)
Length of hospitalization (days) 17.00(5.00) 21.00(8.00) <0.001c
Lymph node metastasis rate (%) 4.02%±15.17% 4.52%±14.72% 0.264b
Lymphocytes (×109/L) 1.44(0.72) 1.18(0.59) <0.001c
Neutrophils (×109/L) 3.52(1.76) 5.03(1.56) <0.001c
Platelet (×109/L) 213(86) 234(107) 0.013c
Monocyte (×109/L) 0.39(0.16) 0.42(0.17) 0.032c
Albumin (g/L) 39.40±4.36 36.60±4.50 <0.001b
Fibrinogen (g/L) 3.39±0.79 4.08±1.04 <0.001b
SIRI 0.95(0.82) 1.54(0.97) <0.001c
AFR 12.32±3.46 9.54±2.68 <0.001c
CA199 (ng/mL) 406(84.8%) 69(77.5%) 0.090a
73(15.2%) 20(22.5%)
CEA (ng/mL) 386(80.6%) 61(68.5%) 0.011a
93(19.4%) 28(31.5%)

The bold numbers in the tables are P-values with statistical significance (<0.05).
aChi-square test, bStudent’s t-test with mean ± standard deviation, cMann-Whitney U test with median (interquartile range), SD: Standard deviation, IQR: Interquartile range, BMI: Body mass index, ASA: American society of anesthesiology. SIRI: Systemic Inflammation Response Index; AFR: Albumin Fibrinogen Ratio; CA199: Carbohydrate Antigen 199; CEA: Carcinoembryonic Antigen.

Table 2: Occurrence of short-term postoperative complications in patients undergoing radical gastric cancer resection.
Postoperative complications N (%)
Enteral nutritiontime>2 weeks 26(4.58%)
Incision infection 4(0.70%)
Abdominal infection 160(28.17%)
Pulmonary infection 70(12.32%)
Pelvic effusion 6(1.06%)
Abdominal bleeding 9(1.58%)
Anastomotic fistula 6(1.06%)
Pyloric or intestinal obstruction 14(2.46%)
Deepvenous thrombosis 10(1.76%)
Splenic embolism 1(0.18%)
Pulmonary embolism 4(0.70%)
Shock 7(1.23%)
Table 3: Clinicopathological variables and preoperative SIRI and AFR in gastric cancer patients.
Variables Preoperative SIRI (Median(IQR) *P values Preoperative AFR(mean±SD) **P values
Gender  Male  1.11(0.89) 0.002 11.96±3.68 0.252
Female 0.91(0.87) 11.62±2.77
Age (y) <60 1.03(0.86) 0.038 12.58±3.83 <0.001
≥60 1.14(0.96) 11.26±3.04
Underlying disease No 1.07(0.90) 0.187 11.88±3.55 0.989
Yes 1.14(0.91) 11.89±3.31
BMI <24 1.06(0.89) 0.29 11.82±3.60 0.464
≥24 1.15(0.85) 12.06±3.23
Tumour location Upper third  1.17(1.09) 0.164 11.63±3.09 0.695
Middle third  1.00(0.80) 12.36±3.14
Lower third 1.07(0.88) 11.88±3.61
Tumor dimensions (cm) <3  0.89(0.69) <0.001 13.44±3.86 <0.001
≥3 1.17(0.92) 11.26±3.13
Differentiation Moderate and poor  1.08(0.90) 0.235 11.80±3.46 0.002
Well 0.91(0.71) 14.11±3.90
TNM stage I 0.78(0.58) <0.001 13.70±4.20 <0.001
II 1.08(0.93) 11.66±3.41
III 1.20(0.92) 11.24±2.90
Approach Open  1.16(0.89) 0.261 12.05±3.97 0.617
Laparoscopic  1.05(0.87) 11.90±3.29
Robot-assisted 1.08(0.97) 11.68±3.22
Operation Subtotal gastrectomy  0.97(0.84) 0.008 12.10±3.41 0.169
Total gastrectomy  1.15(0.94) 11.67±3.58
ASA I-II 1.07(0.90) 0.458 11.89±3.53 0.906
III-IV 1.23(0.85) 11.83±3.24
Perioperative transfusion No 1.02(0.81) <0.001 12.37±3.50 <0.001
Yes 1.44(1.20) 10.25±3.00
CA199 (ng/mL) Negative 1.06(0.86) 0.023 12.14±3.16 0.001
Postive 1.23(1.17) 10.57±2.83
CEA (ng/mL) Negative 1.03(0.83) <0.001 12.24±3.59 <0.001
Postive 1.29(1.30) 10.58±2.81
Blood loss (ml) <200 1.02(0.77) 0.011 12.24±3.63 0.013
200≤X≤400 1.16(1.02) 11.49±3.32
>400 1.25(0.95) 11.00±3.00
Relapse or metastasis No 0.93(0.82) <0.001 12.65±3.35 <0.001
Yes 1.48(1.07) 9.40±2.77
P53 Wild 1.14(0.94) 0.372 11.89±3.40 0.997
Mutant 1.06(0.82) 11.89±3.56
Ki-67 0%-49% 0.92(0.79) 0.183 12.58±3.16 0.249
50%-74% 1.14(0.79) 11.87±3.30
75%-100% 1.07(0.95) 11.76±3.66
Her-2 Negative 1.08(0.91) 0.795 11.88±3.53 0.891
Postive 0.98(0.75) 11.95±3.19
Lymph node metastasis rate(%)  <4.60% 1.07(0.90) 0.471 11.95±3.55 0.112
≥4.60% 1.20(0.83) 11.10±2.81
Enteral nutrition time ≤7 days 1.06(0.91) 0.087 12.18±3.62 0.01
>days 1.15(0.88) 11.40±3.23

The bold numbers in the tables are P-values with statistical significance (<0.05).
*p-value using Mann-Whitney U test with median (IQR), **p-value using Student’s t-test with mean ± standard deviation. SD: Standard devia- tion, IQR: Interquartile range, BMI: Body mass index, ASA: American society of anesthesiology, CA199: Carbohydrate antigen 199, CEA: carcino- embryonic antigen SIRI: Systemic inflammation response index; AFR: Albumin fibrinogen ratio.

Table 4: Univariate and multivariate analyses of the logistic regression model for postoperative complications in patients.
Variables Univariate analysis Multivariate analysis
OR  95% CI  P OR  95% CI 
Age (y) 1.025 (1.000-1.049) 0.046 1.003 (0.977-1.030) 0.819
BMI 0.896 (0.832-0.964) 0.003 0.928 (0.857-1.005) 0.068
Tumor dimensions (cm) 2.04 (1.148-3.624) 0.015 1.003 (0.523-1.926) 0.992
Operation 1.737 (1.092-2.761) 0.02 1.682 (1.015-2.787) 0.044
Perioperative transfusion 3.371 (2.091-5.434) <0.001 2.028 (1.202-3.422) 0.008
CEA (ng/mL) 1.905 (1.154-3.146) 0.012 1.213 (0.696-2.112) 0.496
SIRI 1.429 (1.175-1.738) <0.001 1.222 (1.031-1.446) 0.02
AFR 0.729 (0.665-0.799) <0.001 0.771 (0.701-0.848) <0.001

The bold numbers in the tables are P-values with statistical significance (<0.05).
BMI: Body mass index, SIRI: Systemic inflammation response index; AFR: Albumin fibrinogen ratio.

Table 5: Patient baseline characteristics and their correlations with relapse or metastasis in 3 years after surgery.
Variables No relapse or metastasis n = 435 (76.6%) Relapse or metastasis n = 133 (23.4%) P values
Gender  Male  333(76.6%) 109(82.0%) 0.189a
Female 102(23.4%) 24(18.0%)
Age (y) 59.75±9.51 62.02±10.51 0.019b
Underlying disease No 350(80.5%) 107(80.5%) 0.998a
Yes 85(19.5%) 26(19.5%)
BMI 22.24±3.39 22.03±3.30 0.524b
Tumour location Upper third  48(11.0%) 23(17.3%) 0.012a
Middle third  48(11.0%) 4(3.0%)
Lower third 337(77.5%) 106(79.7%)
Tumor dimensions (cm) <3  145(33.3%) 19(14.3%) <0.001a
≥3 290(66.7%) 114(85.7%)
Differentiation Moderate and poor  414(95.2%) 132(99.2%) 0.033a
Well 21(4.8%) 1(0.8%)
P53 Wild 157(36.1%) 48(36.1%) 1a
Mutant 278(63.9%) 85(63.9%)
Ki-67 0%-49% 49(11.3%) 11(8.3%) 0.513a
50%-74% 134(30.8%) 46(34.6%)
75%-100% 140(29.2%) 21(23.6%)
Her-2 Negative 395(90.8%) 128(96.2%) 0.042a
Postive 40(9.2%) 5(3.8%)
TNM stage I 112(25.7%) 7(5.3%) <0.001a
II 145(33.3%) 33(24.8%)
III 178(40.9%) 93(69.9%)
Approach Open  135(31.0%) 45(33.8%) 0.099a
Laparoscopic  190(39.7%) 37(41.6%)
Robot-assisted 116(26.7%) 45(33.8%)
Operation Subtotal gastrectomy  223(51.3%) 59(44.4%) 0.163a
Total gastrectomy  212(48.7%) 74(55.6%)
ASA I-II 394(90.6%) 115(86.5%) 0.174a
III-IV 41(9.4%) 18(13.5%)
Blood loss (ml) <200 258(59.3%) 72(54.1%) 0.485a
200≤X≤400 145(33.3%) 48(36.1%)
>400 32(7.4%) 13(59.8%)
Perioperative transfusion No 359(82.5%) 80(60.2%) <0.001a
Yes 76(17.5%) 53(39.8%)
Enteral nutrition time (days) 7.00(4.00) 7.00(3.00) 0.149a
Duration of surgery (minutes) 240(80) 260(95) 0.001c
Length of hospitalization (days) 17.00(6.00) 18.00(7.00) 0.157c
Lymph node metastasisrate (%) 0.06%(0.33%) 0.27%(0.70%) <0.001c
Lymphocytes (×109/L) 1.44(0.71) 1.20(0.56) <0.001c
Neutrophils (×109/L) 3.52(1.90) 4.32(1.54) <0.001c
Platelet (×109/L) 209(86) 228(93) 0.002c
Monocyte (×109/L) 0.38(0.17) 0.44(0.17) <0.001c
Albumin (g/L) 39.68±3.99 36.59±6.18 <0.001b
Fibrinogen (g/L) 3.30±0.71 4.14±1.01 <0.001b
SIRI 0.93(0.82) 1.48(1.07) <0.001c
AFR 12.65±3.35 9.40±2.76 <0.001b
SIRI-ARF score 0 210(48.3%) 9(6.8%) <0.001a
1 175(40.2%) 49(36.8%)
2 50(11.5%) 75(56.4%)
CA199 (ng/mL) Negative 376(86.4%) 99(74.4%) 0.001a
Postive 59(13.6%) 34(25.6%)
CEA (ng/mL) Negative 361(83.0%) 86(64.7%) <0.001a
Postive 74(17.0%) 47(35.3%)
Postoperative complication Minor/no 390(89.7%) 89(66.9%) <0.001a
Major 45(10.3%) 44(33.1%)
Postoperative chemotherapy No 130(29.9%) 25(18.8%) 0.012a
Yes 305(70.1%) 108(81.2%)

The bold numbers in the tables are P-values with statistical significance (<0.05).
aChi-square test, bStudent’s t-test with mean ± standard deviation, cMann-Whitney U test with median (interquartile range), SD: Standard deviation, IQR: Interquartile range, BMI: Body mass index, ASA: American society of anesthesiology. SIRI: Systemic inflammation response index; AFR: Albumin fibrinogen ratio, CA199: Carbohydrate antigen 199, CEA: Carcinoembryonic antigen.

Table 6: Univariate and multivariate Cox regression analyses for relapse or metastasis in patients with gastric cancer.
Variables Univariate analysis Multivariate analysis
OR  95% CI  P OR  95% CI  P
Age (y) 1.025 (1.006-1.044) 0.009 1.008 (0.990-1.027) 0.381
Tumour location 0.053 0.231
Upper 1/3 0.224 (0.077-0.647) 0.006 0.451 (0.153-1.336) 0.151
Middle 1/3 0.843 (0.537-1.323) 0.391 1.239 (0.774-1.985) 0.372
Low 1/3 Ref Ref
Tumor dimensions (cm)
<3/≥3 3.002 (1.845-4.884) <0.001 1.428 (0.835-2.444) 0.193
Differentiation
Moderate and poor/ Well 0.159 (0.022-1.134) 0.067 0.667 (0.081-5.491) 0.707
Her-2
Negative/Positive 2.151 (0.880-5.258) 0.093 0.520 (0.209-1.295) 0.160
TNM stage <0.001
I Ref Ref
II 3.533 (1.563-7.989) 0.002 1.704 (0.634-4.576) 0.291
III 7.427 (3.443-16.022) <0.001 5.100 (1.847-14.086) 0.002
Operation time (minutes) 1.004 (1.001-1.006) 0.002 1.003 (1.000-1.005) 0.029
Perioperative transfusion
No/Yes 2.65 (1.872-3.752) <0.001 1.660 (1.135-2.428) 0.009
CA199 (ng/mL)
Negative/Positive 2.039 (1.380-3.013) <0.001 1.417 (0.942-2.130) 0.094
CEA (ng/mL)
Negative/Positive 2.198 (1.540-3.137) <0.001 1.528 (1.054-2.213) 0.025
Lymph node metastasis rate (%) 1.001 (0.991-1.012) 0.790 0.997 (0.986-1.009) 0.666
Postoperative complication
No or Minor/Major 3.35 (2.331-4.813) <0.001 1.220 (0.820-1.815) 0.327
Postoperative chemotherapy
No/Yes 1.850 (1.197-2.859) 0.006 0.475 (0.273-0.826) 0.008
SIRI-AFR score
0 Ref Ref
1 6.057 (2.975-12.334) <0.001 4.363 (2.107-9.037) <0.001
2 22.705 (11.354-45.402) <0.001 12.554 (5.995-26.291) <0.001

The bold numbers in the tables are P-values with statistical significance (<0.05).
CA199: Carbohydrate Antigen 199; CEA: Carcinoembryonic Antigen; SIRI: Systemic Inflammation Response Index; AFR: Albumin Fibrinogen Ratio.

Monocytes serve as cells bridging the innate and adaptive immunity, they can promote cancer immune escape by differentiation into immunomodulatory cells [22]. Factually, certain mutual interactions between circulation of carcinoma cells and circulating monocytes can effectively accelerate their dissemination and extravasation at distant sites [23]. They can have an immediate involvement in promotion, support and maintenance of tumour growth by affecting the tumor microenvironment through multiple mechanisms that produce tolerance, angiogenesis and accelerated tumor cell proliferation [24].

Lymphocytes played a part in immunologic surveillance and were contributory to identification and destruction [25]. Importantly, a biochemical alteration of T cells can modulate cellular activities and promote tumor progression [26]. With evidence that the magnitude and composition of tumour infiltrating lymphocytes can affect survival of oesophageal adenocarcinoma [27].

The abnormal fibrinogen levels can lead to disturbances in the control of normal homeostasis during coagulation. And quite possibly, sedimentation of fibrinogen on cancer cells can form a physical shield to protect cancer cells from recognition and lysis by NK cells [28].

The level of albumin is influenced by nutritional status and metabolism. Hypoalbuminemia can generate immunodeficiency in tumour patients, which reduces the effectiveness of treatment and increases mortality [29]. As such, albumin levels were a recognized prognostic factor for a number of malignancies [30,31]. Similarly, some research suggested that albumin levels affect the likelihood of postoperative complications and cancer recurrence [32,33].

Furthermore, mounting data pointed to the usefulness of SIRI as a predictor of adverse survival in patients with a range of malignancies, including gastric cancer [34-36]. According to our findings, SIRI constituted an independently attributable risk for severe postoperative complications in patients with radical gastrectomy. Recently, Mario and his colleagues confirmed that SIRI can be considered to potentially predict anastomotic fistula after total gastrectomy [37]. Similarly, related research has also demonstrated that AFR can predict patients with pancreatic cancer [30], gallbladder cancer [38], and colorectal cancer [39] prognosis. Our findings suggested that AFR was also a worthwhile parameter for predicting serious complications and recurrent metastases in patients receiving radical gastrectomy in the early postoperative period. The predictive value of combining SIRI and AFR for early postoperative serious complications and recurrent metastases in patients undergoing radical gastrectomy was first identified through our study, and it was an encouraging tool for cancer treatment strategy decisions.

In particular, the surgical resection range was also discovered in our study to be a risk factor for early complications following radical gastric cancer resection. Total gastrectomy significantly damaged the digestive system and had systemic repercussions, which warned us of the importance and necessity of early discovery, diagnosis and treatment of gastric cancer. Interestingly, we observed perioperative blood transfusion to be a contributing factor for early recurrence metastases as well as postoperative problems. A growing body of research suggested that transfusions of allogeneic blood may have immunomodulatory impact that lowered the threshold for periprosthetic infections through a number of mechanisms, including decreased natural killer cell activity, an imbalance in the normal distribution of helper and/or suppressor T cells and improper antigen presentation by host cells [40]. In fact, there were also studies have shown that perioperative blood transfusion can increase the chance of postoperative infection [41], and was associated with complications after gastrectomy [42]. Our results were consistent with those observed by Stephen T McSorley [43] and Xiaowen Liu [44], who noted perioperative blood transfusion is linked to worse survival following surgery for colorectal cancer and gastric cancer. Furthermore, postoperative adjuvant chemotherapy was also a noteworthy factor affecting recurrent metastasis. However, when assessing the risks and advantages of treatment, adverse effects of chemotherapy may be a crucial consideration. During our follow-up, we learned that many patients did not complete the regular chemotherapy cycle due to adverse reactions such as nausea and vomiting after chemotherapy, which is a question worth pondering.

A few limitations applied to this investigation. Firstly, the retrospective nature of the study at a single institution restricts its statistical power. Subsequently, we lacked evaluation of postoperative SIRI and AFR dynamic changes in a relatively large cohort of GC patients, larger multicenter prospective randomized controlled trials are needed to verify our conclusion. Finally, despite the fact that SIRI and AFR are worthwhile and easily obtainable routine blood parameters, the underlying biological and molecular mechanisms that account for their prognostic and predictive nature remain unclear.

Conclusion

Overall, the findings of this investigation indicate a significant association between preoperative SIRI and AFR in individuals with gastric cancer and the occurrence of severe complications, as well as early postoperative recurrence or metastasis. These results may aid surgeons and oncologists in conducting more effective preoperative evaluations and management, and developing post-operative monitoring plans for patients with gastric cancer.

Abbreviations

SIRI: Systemic Inflammatory Response Index; AFR: Albumin Fibrinogen Ratio; NLR: Neutrophil-To-Lymphocyte Ratio; LMR: Lymphocyte-To-Monocytes Ratio; LCR: Lymphocyte-To-C Reactive Protein Ratio; FAR: Fibrinogen-To-Albumin Ratio; F-NLR: Fibrinogen- Neutrophil-To-Lymphocyte Ratio; AJCC: American Joint Commission On Cancer; IQR: Interquartile Range; CA199: Carbohydrate Antigen 199; CEA: Carcinoembryonic Antigen; AUC: Area Under The Curve; CI: Confidence Interval; HR: Hazard Ratio.

Declarations

Ethical approval: The research protocols for the current investigation, which conformed to the principles of the Declaration of Helsinki, and received approval from the ethics board. Ethical consent: 21/10/2022-410, Gansu Provincial Hospital Medical Ethics Committee.

Data availability statement: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Conflict of interest: The authors declared no conflict of interest in the publication of this paper.

Contributors: JR conceived and designed the study and revised the manuscript. JR, DW, LZ, SL, and MY conducted all data collection and analysis and compiled charts. All authors read and approved the final manuscript.

References

  1. Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021; 71: 209-49.
  2. Cao W, Chen HD, Yu YW, et al. Changing profiles of cancer burden worldwide and in China: A secondary analysis of the global cancer statistics 2020. Chin Med J (Engl). 2021; 134: 783-91.
  3. Joshi SS, Badgwell BD. Current treatment and recent progress in gastric cancer. CA Cancer J Clin. 2021; 71: 264-79.
  4. Cravo M, Fidalgo C, Garrido R, et al. Towards curative therapy in gastric cancer: Faraway, so close! World J Gastroenterol. 2015; 21: 11609-20.
  5. Kanda M, Ito S, Mochizuki Y, et al. Multi-institutional analysis of the prognostic significance of postoperative complications after curative resection for gastric cancer. Cancer Med. 2019; 8:5 194-201.
  6. Yildirim M, Koca B. Lymphocyte C-reactive protein ratio: A new biomarker to predict early complications after gastrointestinal oncologic surgery. Cancer Biomark. 2021; 31: 409-17.
  7. Kanda M. Preoperative predictors of postoperative complications after gastric cancer resection. Surg Today. 2020; 50: 3-11.
  8. Eto K, Hiki N, Kumagai K, et al. Prophylactic effect of neoadjuvant chemotherapy in gastric cancer patients with postoperative complications. Gastric Cancer. 2018; 21: 703-09.
  9. Kang WM, Meng QB, Yu JC, et al. Factors associated with early recurrence after curative surgery for gastric cancer. World J Gastroenterol. 2015; 21: 5934-40.
  10. Zavros Y, Merchant JL. The immune microenvironment in gastric adenocarcinoma. Nat Rev Gastroenterol Hepatol. 2022; 19: 451-67.
  11. Caglar R. The relationship of different preoperative inflammatory markers with the prognosis of gastric carcinoma. Asian J Surg. 2022.
  12. Lin GT, Chen QY, Zhong Q, et al. ASO Author Reflections: Fibrinogen-Albumin Ratio as New Promising Biochemical Marker for Predicting Oncological Outcomes in Gastric Cancer Compared with the Combination of Other Inflammation-Related Factors. Ann Surg Oncol. 2021; 28: 7074-75.
  13. Liu Z, Ge H, Miao Z, et al. Dynamic Changes in the Systemic Inflammation Response Index Predict the Outcome of Resectable Gastric Cancer Patients. Front Oncol. 2021; 11: 577043.
  14. Cong X, Li S, Zhang Y, et al. The combination of preoperative fibrinogen and neutrophil-lymphocyte ratio is a predictive prognostic factor in esophagogastric junction and upper gastric cancer. J Cancer. 2019; 10: 5518-26.
  15. Kim W, Kim HH, Han SU, et al. Decreased Morbidity of Laparoscopic Distal Gastrectomy Compared With Open Distal Gastrectomy for Stage I Gastric Cancer: Short-term Outcomes From a Multicenter Randomized Controlled Trial (KLASS-01). Ann Surg. 2016; 263: 28-35.
  16. Mihmanli M, Ilhan E, Idiz UO, et al. Recent developments and innovations in gastric cancer. World J Gastroenterol. 2016; 22: 4307-20.
  17. Banks M, Graham D, Jansen M, et al. British Society of Gastroenterology guidelines on the diagnosis and management of patients at risk of gastric adenocarcinoma. Gut. 2019; 68: 1545-75.
  18. Qian BZ. Inflammation fires up cancer metastasis. Semin Cancer Biol. 2017; 47: 170-76.
  19. Perego M, Tyurin VA, Tyurina YY, et al. Reactivation of dormant tumor cells by modified lipids derived from stress-activated neutrophils. Sci Transl Med. 2020; 12.
  20. Galdiero MR, Marone G, Mantovani A. Cancer Inflammation and Cytokines. Cold Spring Harb Perspect Biol. 2018; 10.
  21. Cools-Lartigue J, Spicer J, McDonald B, et al. Neutrophil extracellular traps sequester circulating tumor cells and promote metastasis. J Clin Invest 2013; 123: 3446-58.
  22. Gabrilovich DI, Ostrand-Rosenberg S, Bronte V. Coordinated regulation of myeloid cells by tumours. Nat Rev Immunol. 2012; 12: 253-68.
  23. Lambert AW, Pattabiraman DR, Weinberg RA. Emerging Biological Principles of Metastasis. Cell 2017; 168: 670-91.
  24. Kim IS, Gao Y, Welte T, et al. Immuno-subtyping of breast cancer reveals distinct myeloid cell profiles and immunotherapy resistance mechanisms. Nat Cell Biol. 2019; 21: 1113-26.
  25. Farag CM, Antar R, Akosman S, et al. What is hemoglobin, albumin, lymphocyte, platelet (HALP) score? A comprehensive literature review of HALP’s prognostic ability in different cancer types. Oncotarget. 2023; 14: 153-72.
  26. Jiang S, Yan W. T-cell immunometabolism against cancer. Cancer Lett. 2016; 382: 255-58.
  27. Noble F, Mellows T, McCormick Matthews LH, et al. Tumour infiltrating lymphocytes correlate with improved survival in patients with oesophageal adenocarcinoma. Cancer Immunol Immunother. 2016; 65: 651-62.
  28. Palumbo JS, Talmage KE, Massari JV, et al. Platelets and fibrin(ogen) increase metastatic potential by impeding natural killer cell-mediated elimination of tumor cells. Blood. 2005; 105: 178-85.
  29. Cham S, Chen L, St Clair CM, et al. Development and validation of a risk-calculator for adverse perioperative outcomes for women with ovarian cancer. Am J Obstet Gynecol. 2019; 220: 571.e1-71. e8.
  30. Fang L, Yan FH, Liu C, et al. Systemic Inflammatory Biomarkers, Especially Fibrinogen to Albumin Ratio, Predict Prognosis in Patients with Pancreatic Cancer. Cancer Res Treat. 2021; 53: 131-39.
  31. Liao CK, Yu YL, Lin YC, et al. Prognostic value of the C-reactive protein to albumin ratio in colorectal cancer: an updated systematic review and meta-analysis. World J Surg Oncol. 2021; 19: 139.
  32. Bullock AF, Greenley SL, McKenzie GAG, et al. Relationship between markers of malnutrition and clinical outcomes in older adults with cancer: systematic review, narrative synthesis and meta-analysis. Eur J Clin Nutr. 2020; 74: 1519-35.
  33. Maumy L, Harrissart G, Dewaele P, et al. [Impact of nutrition on breast cancer mortality and risk of recurrence, a review of the evidence]. Bull Cancer. 2020; 107: 61-71.
  34. Qi Q, Zhuang L, Shen Y, et al. A novel systemic inflammation response index (SIRI) for predicting the survival of patients with pancreatic cancer after chemotherapy. Cancer. 2016; 122: 2158-67.
  35. Sun L, Hu W, Liu M, et al. High Systemic Inflammation Response Index (SIRI) Indicates Poor Outcome in Gallbladder Cancer Patients with Surgical Resection: A Single Institution Experience in China. Cancer Res Treat. 2020; 52: 1199-210.
  36. Xu L, Yu S, Zhuang L, et al. Systemic inflammation response index (SIRI) predicts prognosis in hepatocellular carcinoma patients. Oncotarget 2017; 8: 34954-60.
  37. Schietroma M, Romano L, Schiavi D, et al. Systemic inflammation response index (SIRI) as predictor of anastomotic leakage after total gastrectomy for gastric cancer. Surg Oncol. 2022; 43: 101791.
  38. Xu WY, Zhang HH, Xiong JP, et al. Prognostic significance of the fibrinogen-to-albumin ratio in gallbladder cancer patients. World J Gastroenterol. 2018; 24: 3281-92.
  39. Sun F, Tan YA, Gao QF, et al. Circulating fibrinogen to pre-albumin ratio is a promising biomarker for diagnosis of colorectal cancer. J Clin Lab Anal. 2019; 33: e22635.
  40. Raghavan M, Marik PE. Anemia, allogenic blood transfusion, and immunomodulation in the critically ill. Chest. 2005; 127: 295-307.
  41. Xu XH, Yu XR, Huang YG. [Association of Perioperative Allogeneic Red Blood Cell Transfusion with Postoperative Infections]. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2022; 44: 497-503.
  42. Wang W, Zhao L, Niu P, et al. Effects of perioperative blood transfusion in gastric cancer patients undergoing gastrectomy: A systematic review and meta-analysis. Front Surg. 2022; 9: 1011005.
  43. McSorley ST, Tham A, Dolan RD, et al. Perioperative Blood Transfusion is Associated with Postoperative Systemic Inflammatory Response and Poorer Outcomes Following Surgery for Colorectal Cancer. Ann Surg Oncol. 2020; 27: 833-43.
  44. Liu X, Ma M, Huang H, et al. Effect of perioperative blood transfusion on prognosis of patients with gastric cancer: A retrospective analysis of a single center database. BMC Cancer. 2018; 18: 649.