Multivariate predictive model for asymptomatic spontaneous bacterial peritonitis in patients with liver cirrhosis

Abstract

BACKGROUND

Spontaneous bacterial peritonitis (SBP) is a detrimental infection of the ascitic fluid in liver cirrhosis patients, with high mortality and morbidity. Early diagnosis and timely antibiotic administration have successfully decreased the mortality rate to 20%-25%. However, many patients cannot be diagnosed in the early stages due to the absence of classical SBP symptoms. Early diagnosis of asymptomatic SBP remains a great challenge in the clinic.

AIM

To establish a multivariate predictive model for early diagnosis of asymptomatic SBP using positive microbial cultures from liver cirrhosis patients with ascites.

METHODS

A total of 98 asymptomatic SBP patients and 98 ascites liver cirrhosis patients with negative microbial cultures were included in the case and control groups, respectively. Multiple linear stepwise regression analysis was performed to identify potential indicators for asymptomatic SBP diagnosis. The diagnostic performance of the model was estimated using the receiver operating characteristic curve.

RESULTS

Patients in the case group were more likely to have advanced disease stages, cirrhosis related-complications, worsened hematology and ascites, and higher mortality. Based on multivariate analysis, the predictive model was as follows: y (P) = 0.018 + 0.312 × MELD (model of end-stage liver disease) + 0.263 × PMN (ascites polymorphonuclear) + 0.184 × N (blood neutrophil percentage) + 0.233 × HCC (hepatocellular carcinoma) + 0.189 × renal dysfunction. The area under the curve value of the established model was 0.872, revealing its high diagnostic potential. The diagnostic sensitivity was 73.5% (72/98), the specificity was 86.7% (85/98), and the diagnostic efficacy was 80.1%.

CONCLUSION

Our predictive model is based on the MELD score, polymorphonuclear cells, blood N, hepatocellular carcinoma, and renal dysfunction. This model may improve the early diagnosis of asymptomatic SBP.

Key Words: Spontaneous bacterial peritonitis, Asymptomatic, Ascites, Multivariate predictive model, Liver cirrhosis

Core tip: This retrospective study established a multivariate diagnostic model for asymptomatic spontaneous bacterial peritonitis in liver cirrhosis patients with ascites. The multivariate predictive model constructed by multiple linear stepwise regression analysis was as follows: y (P) = 0.018 + 0.312 × MELD (model of end-stage liver disease) + 0.263 × PMN (ascites polymorphonuclear) + 0.184 × N (blood neutrophil percentage) + 0.233 × HCC (hepatocellular carcinoma) + 0.189 × renal dysfunction. The diagnostic efficacy of the model was 80.1%, sensitivity was 73.5% and specificity was 86.7%. This model may improve the early diagnosis of asymptomatic spontaneous bacterial peritonitis.

INTRODUCTION

Spontaneous bacterial peritonitis (SBP) is a detrimental infection of the ascitic fluid in liver cirrhosis patients, with a prevalence of 10%-30% among hospitalized patients[1,2]. SBP worsens the outcomes of chronic liver diseases and increases the risk of complications, including renal and hepatic failure and portal hypertension[3,4]. Patients with SBP usually present with fever, shivering, and abdominal pain, but up to 30% of patients can also be asymptomatic[5]. SBP diagnosis follows the European Association for the Study of the Liver and the American Association for the Study of Liver Diseases guidelines, which indicate that ascites polymorphonuclear (PMN) leukocyte counts combined with no intra-abdominal source of infection are suggestive of SBP[6,7]. However, some SBP cases caused by gram-positive cocci often have PMN counts less than 250/mm³[8].

SBP leads to 30%-90% mortality within the first year. However, early diagnosis and timely administration of antibiotics have successfully decreased the mortality rate to 20%-25% in the past three decades[9,10]. In patients with PMN > 250/mm³, antibiotics are promptly administered, while in patients with PMN < 250/mm³, antibiotics are usually administered following typical SBP clinical manifestations[11]. However, many patients cannot be diagnosed in the early stages due to the absence of classical SBP symptoms[12]. Some SBP cases are diagnosed only based on clinical symptoms, leading to possible antibiotic abuse. Therefore, there is an urgent need to establish a more specific and accurate model for early SBP diagnosis, especially for asymptomatic SBP patients. Increasing the diagnosis sensitivity can promote early discovery of SBP, and enhancing the specificity of the current diagnostic tools could inhibit antibiotics abuse.

Accumulating evidence has demonstrated that SBP is regulated by a variety of risk factors, including decreased activity of the reticuloendothelial system, advanced liver dysfunction, medications, and genetic factors[1]. To date, effective multivariate prediction models for asymptomatic SBP are not available. Therefore, the present retrospective cohort study aimed to establish an effective predictive model for early screening of asymptomatic SBP in liver cirrhosis patients with ascites. Early diagnosis of asymptomatic SBP will improve antibiotic management strategies and reduce SBP associated mortality.

MATERIALS AND METHODS

Study subjects

A total of 371 cirrhotic patients with ascites who had no SBP symptoms were recruited from the 302 People’s Liberation Army Hospital in the Beijing area from January 2015 to December 2018. Liver cirrhosis diagnoses were confirmed via clinical, laboratory, histological, and imaging findings. A diagnostic paracentesis was performed to confirm ascites according to standard methodology. This study was approved by the ethics committee of the Beijing 302 People’s Liberation Army Hospital. All patients provided informed written consent.

Inclusion and exclusion criteria

Liver cirrhosis patients with ascites who were enrolled in this study met the following inclusion criteria: (1) Adult population; (2) Ascites PMN count < 250/mm³; (3) Absence of typical SBP symptoms such as fever, abdominal pain, diarrhea, tenderness, or rebound pain; (4) No active infection signs, such as infections of the respiratory tract, digestive tract, urinary tract and central nervous system, etc.; (5) No antibiotics administered in the two weeks preceding the study; and (6) Available microbiological results of ascites specimens. The exclusion criteria included incomplete medical record and medication history.

Grouping

Patients were divided into the case and control groups according to microbiological results. Under aseptic conditions, the ascites specimens were inoculated in aerobic and anaerobic bottles (BACTEC 9120, BD, United States) at the bedside. The bottles were then incubated at 35°C for 5 d. The culture results were confirmed positive if the same type of pathogen was isolated from both the aerobic and anaerobic cultures. The patients with negative microbiological examination results were placed in the control group. Patients with positive cultures were designated as the case group. Moreover, all the individuals in the case group could present signs of disease deterioration, such as ascites PMN > 250/mm³, fever, and other physical signs of infection, or liver and kidney function deterioration, and antibiotic treatments were necessary for these patients. Patients in the control group did not receive antibiotic treatments.

Demographic features and clinical characteristics

Demographic features and clinical information including age, gender, complications, and etiology of cirrhosis were collected from the initial medical records. Disease severity was estimated using the Child-Pugh stage and model of end-stage liver disease (MELD) score, as described previously[13,14]. Hematological factors included white blood cell (WBC) count, platelet count (PLT), and neutrophil percentage (N). Indicators for ascites included ascites leukocyte and polymorphonuclear percentage, as well as the PMN. Finally, patient condition at discharge was recorded.

Statistical analysis

The differences between the case and control groups were calculated using the Student’s t test (normal distribution) or the rank sum test (abnormal distribution). Data (continuous variables) are presented as mean ± SD. Categorical variables are presented as percentages and analyzed using the chi-square test. The predictive model was constructed using the multiple linear stepwise regression method of the logistic regression model. The diagnostic yield of the model was estimated using a receiver operating characteristic (ROC) curve. All analyses were two sided. In the multiple linear analysis, a P value < 0.01 was considered statistically significant, while P < 0.05 was considered significant in other analyses. All statistical analyses were performed using SPSS 18.0 software (SPSS Inc., Chicago, IL, United States).

RESULTS

Demographic characteristics of the study population

A total of 371 liver cirrhosis patients were initially enrolled in this study. However, during the course of our study, 28 patients dropped out. Thus, 343 patients were included (259 males and 84 females) with an average age of 54.60 ± 12.79 years (Table 1). Among them, 220 (64.14%) patients were diagnosed with cirrhosis due to viral hepatitis, 65 (18.95%) cases were confirmed as having alcoholic cirrhosis, and 27 (7.87%) cirrhosis cases were caused by autoimmune diseases. According to Child-Pugh stages, the majority of patients were at stages B (175, 51.02%) and C (149, 43.44%), and the remaining patients (19, 5.54%) were diagnosed with stage A. The mean MELD score was 12.04 ± 8.87. Liver failure was observed in 51 (14.87%) patients. Additionally, 64 (18.66%) patients were diagnosed with hepatocellular carcinoma (HCC), while hepatic encephalopathy (HE) was detected in 29 (8.45%) patients. A total of 68 (19.82%) patients presented with cirrhosis combined with diabetes, 68 (19.82%) cases presented with renal dysfunction, and 22 (6.41%) cases had upper gastrointestinal bleeding (UGB) (Table 1).

Table 1 Demographic characteristics of the study population.

Parameters	Patients (n = 343, %)
Age (yr)	54.60 ± 12.79
Gender
Male	259 (75.51)
Female	84 (24.49)
Clinical characteristics
Etiology of cirrhosis
Viral hepatitis	220 (64.14)
Alcohol	65 (18.95)
Autoimmune	27 (7.87)
Others	31 (9.04)
Child-Pugh
A	19 (5.54)
B	175 (51.02)
C	149 (43.44)
MELD score	12.04 ± 8.87
Complications
Liver failure	51 (14.87)
HCC	64 (18.66)
HE	29 (8.45)
Diabetes	68 (19.82)
Renal dysfunction	68 (19.82)
UGB	22 (6.41)
Hematological factors
WBC (× 109/L)	5.19 ± 3.62
N (100%)	0.64 ± 0.12
PLT (× 109/L)	89.93 ± 60.52
WBC/PLT	0.082 ± 0.013
Ascites examinations
Leukocyte (mm3)	258.92 ± 247.46
Polymorphonuclear (100%)	0.10 ± 0.098
PMN (mm3)	28.22 ± 39.46
Microbiological examinations
Positive	111 (32.36)
Gram-negative	21 (18.92)
Gram-positive	80 (72.07)
Mixture	10 (9.01)
Negative	232 (67.64)
Clinical outcomes
Non-survivors	37 (10.79)
Improved	297 (86.59)
Invalid	9 (2.62)

CHILD: Child-Pugh; MELD: Model for end-stage liver disease; HCC: Hepatocellular carcinoma; HE: Hepatic encephalopathy; UGB: Upper gastrointestinal bleeding; WBC: White blood cell count; N: Blood neutrophil percentage; PLT: Platelet; PMN: Polymorphonuclear leukocyte count in ascites.

The mean WBC count was 5.19 ± 3.62 × 10⁹/L, the average N was 0.64 ± 0.12 (× 100%), PLT was 89.93 ± 60.52 × 10⁹/L, and the average ratio of WBC/PLT was 0.082 ± 0.013. In the ascites specimens, the leukocyte count was 258.92 ± 247.46 /mm³, polymorphonuclear cell percentage was 0.100 ± 0.098 (× 100%), and PMN was 28.22 ± 39.46 /mm³ (Table 1).

Microbiological investigations demonstrated that 111 (32.26%) patients were positive for pathogens, while no pathogens were isolated from the other 232 (67.64%) patients. Among the patients with positive cultures, gram-positive bacteria were isolated from 80 (72.07%) patients, and gram-negative bacteria were observed in 21 (18.92%) patients. Additionally, 10 (9.01%) infectious ascites cultures were the result of mixed pathogens. Among patients with positive microbial cultures, 13 patients improved without antibiotic administration. At the time of discharge, 297 (86.58%) patients had improved clinical outcomes, 37 (10.79%) patients died, and 9 (2.62%) showed deteriorating symptoms (these 9 patients were discharged upon their request) (Table 1).

Comparison of baseline characteristics between the case and control groups

Among the study subjects, 98 patients were positive for bacterial pathogens and were administered antibiotics. These patients were designated as the case group. In addition, 98 patients were randomly recruited from the study population into the control group according to the proportion of 1:1 using SPSS 18.0 software. The case and control groups were matched for age and gender (P > 0.05 for both).

Next, we compared the baseline characteristics between both groups (Table 2). Compared to the control group, the MELD scores, WBC, N, WBC/PLT, ascites polymorphonuclear and PMN were significantly higher in the case group (P < 0.05). Patients in the case group were more likely to develop advanced Child-Pugh stages (P = 0.004), liver failure (P < 0.001), HCC (P < 0.001), HE (P < 0.001), renal dysfunction (P < 0.001), and UGB (P < 0.001). Moreover, the death rate was significantly higher in the case group (33.67% vs 3.06%, P < 0.001) (Table 2).

Table 2 Comparisons between asymptomatic spontaneous bacterial peritonitis and control groups.

Characteristics	Asymptomatic SBP (n = 98, %)	Control group (n = 98, %)	P value
Age (yr)	54.01 ± 13.60	53.56 ± 13.47	0.817
Gender			0.178
Male	79 (80.61)	71 (72.45)
Female	19 (19.39)	27 (27.55)
Clinical characteristics
Etiology of cirrhosis			0.280
Viral hepatitis	70 (71.43)	61 (62.24)
Alcohol	16 (16.33)	19 (19.39)
Autoimmune	5 (5.10)	12 (12.24)
Others	7 (7.14)	6 (6.12)
Child-Pugh			0.004
A	2 (2.04)	2 (2.04)
B	35 (35.71)	58 (59.18)
C	61 (62.24)	38(38.78)
MELD score	18.20 ± 11.04	9.92 ± 5.88	< 0.001
Complications
Liver failure	28 (28.57)	7 (7.14)	< 0.001
HCC	37 (37.75)	10 (10.20)	< 0.001
HE	21 (21.43)	3 (3.06)	< 0.001
Diabetes	22 (22.45)	13 (13.26)	0.093
Renal dysfunction	39 (39.80)	10 (10.20)	< 0.001
UGB	19 (19.39)	0 (0.00)	< 0.001
Hematological factors
WBC (× 109/L)	7.25 ± 4.66	3.97 ± 1.99	< 0.001
N (100%)	0.71 ± 0.13	0.60 ± 0.13	0.007
PLT (×109/L)	92.08 ± 71.37	82.44 ± 43.27	0.244
WBC/PLT	0.14 ± 0.22	0.057 ± 0.04	0.001
Ascites examinations
Leukocyte (/mm3)	314.41 ± 351.67	254.08 ± 231.51	0.151
Polymorphonuclear (100%)	0.15 ± 0.12	0.086 ± 0.10	< 0.001
PMN (/mm3)	45.83 ± 52.25	21.44 ± 28.71	< 0.001
Clinical outcomes
Non-survivors	33 (33.67)	3 (3.06)	< 0.001

SBP: Spontaneous bacterial peritonitis; CHILD: Child-Pugh; MELD: Model for end-stage liver disease; HCC: Hepatocellular carcinoma; HE: Hepatic encephalopathy; UGB: Upper gastrointestinal bleeding; WBC: White blood cell count; N: Neutrophil percentage; PLT: Platelet; PMN: Polymorphonuclear leukocyte count in ascites.

Data processing

ROC curves were plotted for the selected 196 patients according to the continuous variables, including age, MELD scores, WBC, N, PLT, WBC/PLT, ascites leukocyte, polymorphonuclear, and PMN (Figure 1 and Table 3). The area under curve (AUC) values for age and PLT were 0.465 and 0.490, respectively, and their corresponding cut-off values were 71.50 years and 187.50 × 10⁹/L, respectively. The AUC values of MELD scores, WBC, N, WBC/PLT, ascites leukocyte, polymorphonuclear, and PMN were more than 0.5, with the corresponding cut-off values at 15.50, 4.73 × 10⁹/L, 66.15%, 0.0619, 230/mm³, 7.50%, and 10.95/mm³, respectively. Subsequently, based on the ROC cut-off values, these factors were entered into the multiple linear stepwise regression analysis as categorized variables.

Figure 1 Receiver operating characteristic analysis of the continuous variables for the selected 196 patients. ROC: Receiver operating characteristic; MELD: Model for end-stage liver disease; WBC: White blood cell count; N: Blood neutrophil percentage; PLT: Platelet; PMN: Polymorphonuclear.

Table 3 Receiver operating characteristic analysis for the continuous variables in 196 selected patients.

Variables	AUC	Cut-off value
Age (yr)	0.489	71.50
MELD score	0.733	15.50
WBC (× 109/L)	0.729	4.73
N (100%)	0.747	0.6615
PLT (× 109/L)	0.494	187.50
WBC/PLT	0.720	0.0619
Leukocyte (mm3)	0.538	230.00
Polymorphonuclear (100%)	0.683	0.075
PMN (mm3)	0.671	10.95

AUC: Area under curve; MELD: Model for end-stage liver disease; WBC: White blood cell count; N: Blood neutrophil percentage; PLT: Platelet; PMN: Polymorphonuclear leukocyte count in ascites.

Multivariate analysis and construction of the diagnostic model

Based on the multivariate analysis results (Table 4), blood neutrophil percentage, HCC, MELD, PMN, and renal dysfunction were included in the predictive model. The equation was as follows: y (P) = 0.018 + 0.312 × MELD (0: < 15.50; 1: > 15.50) + 0.263 × PMN (0: < 10.95; 1: > 10.95) + 0.184 × N (0: < 0.6615; 1: > 0.6615) + 0.233 × HCC (0: no; 1: yes) + 0.189 × renal dysfunction (0: no; 1: yes).

Table 4 Multiple linear stepwise regression analysis of the candidate indicators for asymptomatic spontaneous bacterial peritonitis.

Parameters	Unstandardized Coefficients		Standardized Coefficients	t	P value
	B	Std. Error	Beta
Constant	0.018	0.055		0.331	0.741
MELD	0.312	0.064	0.299	4.901	0.000
PMN	0.263	0.059	0.252	4.474	0.000
N	0.184	0.062	0.183	2.963	0.003
HCC	0.233	0.067	0.199	3.480	0.001
Renal dysfunction	0.189	0.071	0.164	2.671	0.008

SBP: Spontaneous bacterial peritonitis; MELD: Model for end-stage liver disease; HCC: Hepatocellular carcinoma; N: Blood neutrophil percentage; PMN: Polymorphonuclear leukocyte count in ascites.

ROC analysis for the screening model

In our study, we also calculated y (P) value of each patient based on the original data using the constructed equation. The ROC curve was plotted based on the calculated P values (Figure 2). The AUC value was 0.872, revealing the high diagnostic value of the model with diagnostic sensitivity and specificity at 73.5%, and 86.7%, respectively.

Figure 2 The receiver operating characteristic curve was plotted based on the P values of the patients calculated using the screening model. Area under curve value was 0.872, with a sensitivity of 73.5% and a specificity of 86.7%. AUC: Area under curve.

In addition, P = 0.5 was identified as the optimum cut-off value for asymptomatic SBP diagnosis. The patients with P values > 0.5 were confirmed as having asymptomatic SBP. Accordingly, there were 72 patients in the asymptomatic SBP group with P > 0.5, while 26 patients in the control group did (P < 0.001). Our analysis showed that the diagnostic sensitivity was 73.5% (72/98), the specificity was 86.7% (85/98), and the diagnostic efficacy was 80.1% (Table 5). The Youden's index was 0.602, more than 0.5, suggesting a high application value of the model.

Table 5 Predictive results of the constructed model in the original study population.

Predictive results	Observed results		Percentage correct
	Asymptomatic SBP	Control group
Asymptomatic SBP	72	26	73.5%
Control group	13	85	86.7%

SBP: Spontaneous bacterial peritonitis.

DISCUSSION

SBP is associated with increased mortality in liver cirrhosis patients[15]. Early diagnosis followed by appropriate antibiotic administration can significantly improve the survival of SBP patients. However, based on the current diagnostic strategies, many asymptomatic SBP cases can be misdiagnosed leading to a delay in treatment or antibiotic abuse[16]. Therefore, in the present study, we established a multivariate predictive model by comparing 98 asymptomatic SBP patients with positive microbial culture (case group) and 98 cirrhotic ascites liver patients with negative microbial culture (control group). We compared the clinical characteristics and hematological factors, as well as ascites examination results between both groups. Our results demonstrated that patients in the case group were more likely to develop advanced Child-Pugh stages and high MELD scores. In agreement with previous reports, our results indicate that liver cirrhosis patients with advanced conditions are more likely to develop SBP. SBP was independently associated with liver disease severity according to Child-Pugh stage and high MELD score[17]. Additionally, the frequencies of liver failure, HCC, HE, renal dysfunction, and UGB were significantly higher in the case group, suggesting a close association of these factors with increased risk of SBP. SBP might not only contribute to the progression of liver disease, but also increase the risk of other complications, such as HE, septic shock, and hepatorenal syndrome. In addition, the WBC levels and the WBC/PLT ratios were significantly increased in asymptomatic SBP cases compared to the controls. The mortality of asymptomatic SBP cases was also higher than that of controls. Our findings are consistent with previous reports suggesting that SBP might aggravate dysregulation of the immune system, thus contributing to disease-related complications and increasing the risk of mortality among cirrhosis patients[18-20].

In this study, multiple linear stepwise regression analysis was performed to identify the potential indicators for early diagnosis of asymptomatic SBP in liver cirrhosis patients. Our results showed that blood neutrophil percentage, HCC, MELD, PMN, and renal dysfunction could be included in the predictive model. Liver cirrhosis patients are more likely to be infected by pathogens due to their compromised immune response. Abnormal stimulation of neutrophils induced by impaired phagocytic and oxidative burst function may be responsible for dysregulation of the immune system in liver cirrhosis patients[21,22]. Therefore, blood neutrophils and PMN in ascitic fluid might be effective factors for early SBP screening in liver cirrhosis patients. MELD is an indicator of disease severity, and its positive association with SBP initiation has been previously reported. Na et al[23] demonstrated that patients with SBP had higher MELD scores than those without SBP. Additionally, the MELD score can function as an independent factor for occurrence and clinical outcomes of SBP[24,25]. However, some studies may hold different opinions. In the study by Haddad et al[26], MELD was confirmed to have no association with SBP. Although MELD had no direct association with SBP, MELD might be employed as a predictive biomarker for SBP. Moreover, liver disease-related complications may contribute to the development of SBP. Tsung et al[27] reported that HCC and renal dysfunction could increase the death rate in liver cirrhosis patients with SBP[27]. Taken together, the predictive model constructed in our study is feasible, and ROC analysis confirmed that the predictive model had high application potential for early SBP diagnosis. According to Project Leonardo, a health follow-up file may be established for patients with liver cirrhosis, especially those who have ascites. The special care manager will follow up the patients on a regular basis to gain the trust and cooperation of the patients, in order to discover changes in the condition with time. Based on our diagnostic model, time treatments could be supplied for patients to improve the long-term prognosis[28].

There were several limitations in our study. First, the sample size was relatively small, which may have influenced the accuracy of the established model. SBP patients might not have been admitted to hospital without obvious clinical symptoms; moreover, the positive rate of ascites culture was relatively low. This resulted in a relatively small sample size. Second, the diagnostic performance of the predictive model was only verified in our patient cohort. Only 98 cases met the case conditions; thus, these patients could not be divided into a modeling group and a validation group. Therefore, the validation group was not adopted to verify our model. The cross-validation with a larger sample size will be required to confirm the efficacy and further improve our predictive model. Third, the present study was a retrospective investigation, and some indicators that may have been significant for early diagnosis of SBP could not be obtained. Thus, some potential biomarkers were not taken into consideration in our study, such as inflammatory factors. Therefore, well-designed prospective studies are required to improve and verify our study.

In conclusion, a multivariate predictive model was established for the early diagnosis of asymptomatic SBP patients with positive microbiological results to determine which patients should be treated with antibiotics. Our predictive model was based on MELD, PMN, blood N, HCC, and renal dysfunction, which may enhance antibiotic treatment in asymptomatic SBP patients.

ARTICLE HIGHLIGHTS

Research background

Spontaneous bacterial peritonitis (SBP) is a detrimental infection of the ascitic fluid in liver cirrhosis patients, with high mortality and morbidity. Early diagnosis and timely antibiotic administration have successfully decreased the mortality rate to 20%-25%. Early diagnosis of asymptomatic SBP remains a great challenge in the clinic.

Research motivation

Currently, SBP cases are diagnosed based only on clinical symptoms, leading to possible antibiotic abuse. SBP is regulated by a variety of risk factors, including decreased activity of the reticuloendothelial system, advanced liver dysfunction, medications, and genetic factors. A multivariate predictive model may be effective for early screening of asymptomatic SBP.

Research objectives

The present retrospective cohort study aimed to establish an effective predictive model for early screening of asymptomatic SBP in liver cirrhosis patients with ascites. Early diagnosis of asymptomatic SBP will improve antibiotic management strategies and reduce SBP-associated mortality.

Research methods

Liver cirrhosis patients with ascites who had no typical SBP symptoms were included in the current study, and divided into the case (positive cultures) and control (negative cultures) groups according to microbiological results. The demographic features, clinical information, disease activity, hematological and ascites factors were compared between the case and control groups to identify potential indicators of asymptomatic SBP. The multiple linear stepwise regression method of the logistic regression model was adopted to construct the multivariate predictive model. The diagnostic performance of the model was estimated by the receiver operating characteristic curve.

Research results

Patients in the case group were more likely to have advanced disease stages, cirrhosis related-complications, worsened hematology and ascites, and higher mortality. Based on multivariate analysis, the predictive model was as follows: y (P) = 0.018 + 0.312 × MELD (model of end-stage liver disease) + 0.263 × PMN (ascites polymorphonuclear) + 0.184 × N (blood neutrophil percentage) + 0.233 × HCC (hepatocellular carcinoma) + 0.189 × renal dysfunction. The area under curve value of the established model was 0.872, revealing its high diagnostic potential. The diagnostic sensitivity was 73.5% (72/98), the specificity was 86.7% (85/98), and the diagnostic efficacy was 80.1%.

Research conclusions

The multivariate predictive model based on model of end-stage liver disease, polymorphonuclear, blood neutrophil percentage, hepatocellular carcinoma, and renal dysfunction exerts high diagnostic efficacy which may improve the early diagnosis of asymptomatic SBP.