P79 Automated cell count for the diagnosis of spontaneous bacterial peritonitis: is it useful in clinical practice?. (28th September 2020)

• Record Type: Journal Article
• Authors: Theodoreson, Mark; Iyer, Mia; Maheswaran, Tina
• Is Part Of: Gut. Volume 69(2020)Supplement 1
• Page Start: A45
• Page End: A45
• Publication Date: 2020-09-28
• Subjects: Gastroenterology -- Periodicals; 616.33
• DOI: 10.1136/gutjnl-2020-BASL.89
• Languages: English
• ISSNs: 0017-5749

Abstract

Abstract : Introduction: Spontaneous bacterial peritonitis (SBP) is both a common and severe complication of ascites. It carries a mortality rate of 11– 19.1%, 1–3 thus early diagnosis and treatment is imperative in this vulnerable group. The incidence of SBP ranges from 10– 30% in hospital in-patients with cirrhotic liver disease. 4 However, asymptomatic outpatients carry a much lower rate. 5 A recent UK-wide report observing both inpatients and outpatients found a total SBP rate of 3.13%, 6 though underreporting may have affected this. The gold standard for diagnosing SBP is an ascitic fluid manual cell count (>250 mm 3 polymorphonuclear leukocytes). 7 Our trust does not have access to same day manual counts and therefore relies on automated cell count for initial diagnosis. Our trust was identified to have a higher than expected rate of SBP compared to the UK average (11.01% vs. 3.13%). 6 Further to this, a local audit of ascitic samples identified 18.9% were positive for SBP, a significant outlier in the national trends. We reviewed our practice to establish the validity of automated cell count as a diagnostic method and establish its usefulness in the diagnosis of SBP. Method: We obtained a list of patients who had a fluid sample analysis between April 2018-April 2019 (n=300). Non-ascitic or non-processed samples were excluded. Samples were included for analysis if both an automated and manual cell count (gold standard) were sent. 211 patients met the inclusion criteria and results were reviewed using the electronic patient record. 103 (48.9%) were excluded for having automated count only and a further 10 (4.7%) for having one sample not suitable for analysis. 98-paired samples (46.4%) met inclusion criteria for analysis. Results: 20 automated samples were positive for SBP, of which 3 were positive on the corresponding manual count (positive predictive value (PPV) 15%). It must be noted that the negative predictive value (NPV) was 100% (n=78). Of 103 automated only samples, there were 37 positive results. With a PPV of 15% we would expect a further 5.5 cases. Therefore, potentially 31.5 cases of SBP were over diagnosed due to our reliance on the automated result. Discussion: A PPV of 15% suggests the automated count has little value in clinical practice. Its benefit lies in its strong NPV to rule out SBP, but reliance on this method results in inflated SBP rates and overtreatment with potentially harmful antibiotics. Reference: Fernández J, Acevedo J, Prado V, et al . Clinical course and short-term mortality of cirrhotic patients with infections other than spontaneous bacterial peritonitis. Liver Int 2017;37 :385–395. doi:10.1111/liv.13239 Devani K, Charilaou P, Jaiswal P, et al . Trends in Hospitalization, Acute Kidney Injury, and Mortality in Patients With Spontaneous Bacterial Peritonitis, J Clin Gastroenterol 2019;53 (2):e68–e74doi:10.1097/MCG.0000000000000973 Niu B, Kim B, Limketkai BN, et al . Mortality from Spontaneous Bacterial Peritonitis Among Hospitalized Patients in the USA. Dig Dis Sci 2018;63 ;1327–1333. doi.org/10.1007/s10620-018-4990-y Rimola A, García-Tsao G, Navasa M, et al . J Hepatol 2000;32 (1):142–53. doi.org/10.1016/S0168-8278(00)80201-9 Evans LT, Kim WR, Poterucha JJ and Kamath PS. Spontaneous bacterial peritonitis in asymptomatic outpatients with cirrhotic ascites. Hepatology 2003;37 (4):897–901. doi:10.1053/jhep.2003.50119 GIRFT review team ( 2018). Getting it right first time: Gastroenterology, NHS Enomoto H, Inoue S, Matsuhisa A and Nishiguchi S. Diagnosis of spontaneous bacterial peritonitis and an in situ hybridization approach to detect an "unidentified" pathogen. Int J Hepatol 2014;634617. doi:10.1155/2014/634617