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. 2024 Jul 14:60-61:101453.
doi: 10.1016/j.nmni.2024.101453. eCollection 2024 Aug-Oct.

Identifying risk factors for blood culture negative infective endocarditis: An international ID-IRI study

Mine Filiz  1 Hakan Erdem  1 Handan Ankarali  2 Edmond Puca  3 Yvon Ruch  4 Lurdes Santos  5 Teresa Fasciana  6 Anna M Giammanco  6 Nesrin Ghanem-Zoubi  7 Xavier Argemi  8 Yves Hansmann  4 Rahmet Guner  9 Gilda Tonziello  10 Jean-Philippe Mazzucotelli  11 Najada Como  12 Sukran Kose  13 Ayse Batirel  14 Asuman Inan  15 Necla Tulek  16 Abdullah Umut Pekok  17 Ejaz Ahmed Khan  18 Atilla Iyisoy  19 Meliha Meric-Koc  20 Ayse Kaya-Kalem  9 Pedro Palma Martins  5 Imran Hasanoglu  9 André Silva-Pinto  5 Nefise Oztoprak  21 Raquel Duro  5 Fahad Almajid  22 Mustafa Dogan  23 Nicolas Dauby  24 Jesper Damsgaard Gunst  25 Recep Tekin  26 Deborah Konopnicki  24 Nicola Petrosillo  10 Ilkay Bozkurt  27 Jamal Wadi Al Ramahi  28 Corneliu Popescu  29 Ilker Inanc Balkan  30 Safak Ozer-Balin  31 Tatjana Lejko Zupanc  32 Antonio Cascio  33 Irina Magdalena Dumitru  34 Aysegul Erdem  35 Gulden Ersoz  36 Meltem Tasbakan  37 Oday Abu Ajamieh  28 Fatma Sirmatel  38 Simin Florescu  29 Serda Gulsun  39 Hacer Deniz Ozkaya  40 Sema Sari  41 Selma Tosun  42 Meltem Avci  43 Yasemin Cag  44 Guven Celebi  45 Ayse Sagmak-Tartar  31 Sumeyra Karakus  44 Alper Sener  46 Arjeta Dedej  47 Serkan Oncu  48 Rosa Fontana Del Vecchio  49 Derya Ozturk-Engin  50 Canan Agalar  50
Affiliations

Identifying risk factors for blood culture negative infective endocarditis: An international ID-IRI study

Mine Filiz et al. New Microbes New Infect. .

Abstract

Background: Blood culture-negative endocarditis (BCNE) is a diagnostic challenge, therefore our objective was to pinpoint high-risk cohorts for BCNE.

Methods: The study included adult patients with definite endocarditis. Data were collected via the Infectious Diseases International Research Initiative (ID-IRI). The study analysing one of the largest case series ever reported was conducted across 41 centers in 13 countries. We analysed the database to determine the predictors of BCNE using univariate and logistic regression analyses.

Results: Blood cultures were negative in 101 (11.65 %) of 867 patients. We disclosed that as patients age, the likelihood of a negative blood culture significantly decreases (OR 0.975, 95 % CI 0.963-0.987, p < 0.001). Additionally, factors such as rheumatic heart disease (OR 2.036, 95 % CI 0.970-4.276, p = 0.049), aortic stenosis (OR 3.066, 95 % CI 1.564-6.010, p = 0.001), mitral regurgitation (OR 1.693, 95 % CI 1.012-2.833, p = 0.045), and prosthetic valves (OR 2.539, 95 % CI 1.599-4.031, p < 0.001) are associated with higher likelihoods of negative blood cultures. Our model can predict whether a patient falls into the culture-negative or culture-positive groups with a threshold of 0.104 (AUC±SE = 0.707 ± 0.027). The final model demonstrates a sensitivity of 70.3 % and a specificity of 57.0 %.

Conclusion: Caution should be exercised when diagnosing endocarditis in patients with concurrent cardiac disorders, particularly in younger cases.

Keywords: Blood culture negative endocarditis; Cardiac disorders; Infective endocarditis; Prosthetic valves; Rheumatic heart disease.

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Conflict of interest statement

None to declare.

Figures

Fig. 1
Fig. 1
Receiver operating characteristics (ROC) curve based on the probabilities of patients belonging to culture-negative or culture-positive groups. The final model cut-off value: 0.104, sensitivity 70.3 % and specificity 57.0 %.
Figure-2
Figure-2
A nomogram of the final predictive model. The score is calculated separately for each line, based on the presence or absence of cardiac disorders and the patient's age. The ‘Prob’ value at the bottom of the figure corresponds to the calculated total score, and it indicates the probability that a patient's blood culture result will be negative. The higher the ‘Prob’ value, the greater the likelihood of a negative blood culture.

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