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1.
Medicine (Baltimore) ; 97(34): e11881, 2018 Aug.
Article in English | MEDLINE | ID: mdl-30142785

ABSTRACT

Coxiella burnetii is a common cause of blood culture-negative infective endocarditis (IE). Molecular detection of C burnetii DNA in clinical specimens is a promising method of diagnosing Q fever endocarditis. Here, we examined the diagnostic utility of Q fever polymerase chain reaction (PCR) of formalin-fixed heart valve tissue from patients with blood culture-negative IE who underwent heart valve surgery. Clinical and laboratory data of patients with blood culture-negative IE who underwent heart valve surgery during a 6-year period and for whom biopsy tissues were available were reviewed retrospectively. Blood culture-positive IE patients who underwent heart valve surgery within the last 3 years were used as controls. Heart valve samples were cultured and also subjected to histological examination and PCR for Q fever, brucellosis, and bartonellosis. Data from 20 patients with blood culture-negative IE and 20 with blood culture-positive IE were analyzed. Eight cases of blood culture-negative IE were PCR-positive for C burnetii (40%; 95% confidence interval, 19-64). No specimen was PCR-positive for brucellosis or bartonellosis. Histologically, 4 of 8 specimens with a positive Q fever PCR result were characterized by clusters of multinucleated giant cells without a fibrin ring. None of 20 patients with blood culture-negative IE received anti-Coxiella antibiotic therapy due to lack of clinical suspicion. Six-month mortality was higher in the Q fever PCR-positive group than in the Q fever PCR-negative group [38% (3/8) vs 0% (0/12), P = .049). Of the 20 patients with blood culture-positive IE, none yielded a positive Q fever PCR result for valve tissue. Approximately 40% of patients with culture-negative IE who received heart valve surgery were PCR-positive for Q fever; patients without clinical suspicion suffered high mortality. These data suggest that Q fever IE in patients with culture-negative IE is often missed in routine clinical practice.


Subject(s)
Coxiella burnetii/genetics , Endocarditis/microbiology , Heart Valves/microbiology , Polymerase Chain Reaction/methods , Q Fever/diagnosis , Adult , Aged , Blood Culture , Cardiac Surgical Procedures/adverse effects , Endocarditis/diagnosis , Endocarditis/etiology , Female , Humans , Male , Middle Aged , Q Fever/complications , Retrospective Studies , Survival Rate
2.
Scand J Infect Dis ; 36(9): 649-55, 2004.
Article in English | MEDLINE | ID: mdl-15370651

ABSTRACT

The clinical significance of Candida species isolated from cirrhotic ascites is still unknown. We reviewed the clinical and laboratory features of all cirrhotic patients whose ascites samples were positive for Candida species. A total of 21 cirrhotic patients was identified. Patients were regarded as having peritonitis if they had 1 or more clinical symptom(s) or sign(s) in the absence of any other possible explanation. 10 patients (47.6%) were classified into the spontaneous Candida peritonitis (SCP) group, and the remaining 11 patients (52.4%) were classified into asymptomatic candidascites. Mortalities were higher in the SCP group at discharge (50.0% vs 27.3%), 6-month (90% vs 45.5%) and 1-y (100% vs 54.5%) (p=0.007). Receiver-operating characteristic curve analysis revealed that the cut-off value of ascitic fluid polymorphonuclear cell count of 315/mm(3) (0.315 x 10(9)/l) had the highest diagnostic accuracy with both sensitivity and specificity of 1.0. In conclusion, Candida species are associated with a grave outcome when manifested with peritonitis.


Subject(s)
Ascitic Fluid/microbiology , Candida/classification , Candidiasis/diagnosis , Liver Cirrhosis/microbiology , Peritonitis/microbiology , Adult , Age Distribution , Aged , Candidiasis/epidemiology , Case-Control Studies , Female , Humans , Incidence , Korea/epidemiology , Liver Cirrhosis/epidemiology , Male , Middle Aged , Peritonitis/epidemiology , Probability , Prognosis , Risk Assessment , Sampling Studies , Severity of Illness Index , Sex Distribution , Statistics, Nonparametric , Survival Analysis
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