Weinstein MP, Towns ML, Quartey SM, Mirrett S, Reimer LG, Parmigiani G, et al. The clinical significance of positive blood cultures in the 1990s: a prospective comprehensive evaluation of the microbiology, epidemiology, and outcome of bacteremia and fungemia in adults. Clin Infect Dis. 1997;24:584–602.

Article  CAS  PubMed  Google Scholar 

Lindvig KP, Nielsen SL, Henriksen DP, Jensen TG, Kolmos HJ, Pedersen C, et al. Mortality and prognostic factors of patients who have blood cultures performed in the emergency department: a cohort study. Eur J Emerg Med. 2016;23:166–72.

Article  PubMed  Google Scholar 

Opota O, Croxatto A, Prod’hom G, Greub G. Blood culture-based diagnosis of bacteraemia: state of the art. Clin Microbiol Infect. 2015;21:313–22.

Article  CAS  PubMed  Google Scholar 

Fujii K, Takada T, Kamitani T, Aoki T, Takeshima T, Kudo M, et al. Diagnostic performance of physician gestalt for bacteremia in patients in the process of being admitted with suspected infection. Clin Infect Dis. 2023;76:1074–9.

Article  PubMed  Google Scholar 

Takeshima T, Yamamoto Y, Noguchi Y, Maki N, Gibo K, Tsugihashi Y, et al. Identifying patients with bacteremia in community-hospital emergency rooms: a retrospective cohort study. PLoS One. 2016;11:e0148078.

Article  PubMed  PubMed Central  Google Scholar 

Shapiro NI, Wolfe RE, Wright SB, Moore R, Bates DW. Who needs a blood culture? A prospectively derived and validated prediction rule. J Emerg Med. 2008;35:255–64.

Article  PubMed  Google Scholar 

Lee C-C, Wu C-J, Chi C-H, Lee N-Y, Chen P-L, Lee H-C, et al. Prediction of community-onset bacteremia among febrile adults visiting an emergency department: rigor matters. Diagn Microbiol Infect Dis. 2012;73:168–73.

Article  PubMed  Google Scholar 

Tokuda Y, Miyasato H, Stein GH, Kishaba T. The degree of chills for risk of bacteremia in acute febrile illness. Am J Med. 2005;118:1417.e1-1417.e6.

Article  Google Scholar 

Taniguchi T, Tsuha S, Takayama Y, Shiiki S. Shaking chills and high body temperature predict bacteremia especially among elderly patients. Springerplus. 2013;2:624.

Article  PubMed  PubMed Central  Google Scholar 

Vandenberk M, De Bondt K, Nuyts E, Toelen J, Verbakel JY. Shivering has little diagnostic value in diagnosing serious bacterial infection in children: a systematic review and meta-analysis. Eur J Pediatr. 2021;180:1033–42.

Article  PubMed  Google Scholar 

McInnes MDF, Moher D, Thombs BD, McGrath TA, Bossuyt PM, the PRISMA-DTA Group, et al. Preferred reporting items for a systematic review and meta-analysis of diagnostic test accuracy studies: the PRISMA-DTA statement. JAMA. 2018;319:388–96.

Article  PubMed  Google Scholar 

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.

Article  PubMed  PubMed Central  Google Scholar 

Nunnally ME, Jaeschke R, Bellingan GJ, Lacroix J, Mourvillier B, Rodriguez-Vega GM, et al. Targeted temperature management in critical care: a report and recommendations from five professional societies. Crit Care Med. 2011;39:1113–25.

Article  PubMed  Google Scholar 

Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan-a web and mobile app for systematic reviews. Syst Rev. 2016;5:210.

Article  PubMed  PubMed Central  Google Scholar 

Whiting PF, Rutjes AWS, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155:529–36.

Article  PubMed  Google Scholar 

Deeks JJ, Bossuyt PM, Leeflang MM, Takwoingi Y, editors. Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy. Version 2.0 (updated July 2023). Cochrane. 2023. Available from https://training.cochrane.org/handbook-diagnostic-test-accuracy/current.

Reitsma JB, Moons KGM, Bossuyt PMM, Linnet K. Systematic reviews of studies quantifying the accuracy of diagnostic tests and markers. Clin Chem. 2012;58:1534–45.

Article  CAS  PubMed  Google Scholar 

Bahagon Y, Raveh D, Schlesinger Y, Rudensky B, Yinnon AM. Prevalence and predictive features of bacteremic urinary tract infection in emergency department patients. Eur J Clin Microbiol Infect Dis. 2007;26:349–52.

Article  CAS  PubMed  Google Scholar 

Bates DW, Sands K, Miller E, Lanken PN, Hibberd PL, Graman PS, et al. Predicting bacteremia in patients with sepsis syndrome. Academic Medical Center Consortium Sepsis Project Working Group. J Infect Dis. 1997;176:1538–51.

Article  CAS  PubMed  Google Scholar 

Bates DW, Cook EF, Goldman L, Lee TH. Predicting bacteremia in hospitalized patients. A prospectively validated model. Ann Intern Med. 1990;113:495–500.

Article  CAS  PubMed  Google Scholar 

Chassagne P, Perol MB, Doucet J, Trivalle C, Ménard JF, Manchon ND, et al. Is presentation of bacteremia in the elderly the same as in younger patients? Am J Med. 1996;100:65–70.

Article  CAS  PubMed  Google Scholar 

Holmqvist M, Inghammar M, Påhlman L, Boyd J, Åkesson P, Linder A, et al. Risk of bacteremia in patients presenting with shaking chills and vomiting - a prospective cohort study. Epidemiol Infect. 2020. https://doi.org/10.1017/S0950268820000746.

Article  PubMed  PubMed Central  Google Scholar 

Hoogendoorn M, van ’t Wout JW, Schijf V, van Dissel JT. Predictive value of chills in patients presenting with fever to urgent care department. Ned Tijdschr Geneeskd. 2002;146:116–20.

CAS  PubMed  Google Scholar 

Komatsu T, Takahashi E, Mishima K, Toyoda T, Saitoh F, Yasuda A, et al. A simple algorithm for predicting bacteremia using food consumption and shaking chills: a prospective observational study. J Hosp Med. 2017;12:510–5.

Article  PubMed  Google Scholar 

McNab L, Lee R, Chiew AL. Evaluating clinical prediction rules for bacteremia detection in the emergency department: a retrospective review. J Emerg Med. 2023. https://doi.org/10.1016/j.jemermed.2023.12.005.

Pfitzenmeyer P, Decrey H, Auckenthaler R, Michel JP. Predicting bacteremia in older patients. J Am Geriatr Soc. 1995;43:230–5.

Article  CAS  PubMed  Google Scholar 

Sasaki S, Raita Y, Murakami M, Yamamoto S, Tochitani K, Hasegawa T, et al. Added value of clinical prediction rules for bacteremia in hemodialysis patients: an external validation study. PLoS One. 2021;16:e0247624.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sasaki S, Hasegawa T, Kawarazaki H, Nomura A, Uchida D, Imaizumi T, et al. Development and validation of a clinical prediction rule for bacteremia among maintenance hemodialysis patients in outpatient settings. PLoS One. 2017;12:e0169975.

Article  PubMed  PubMed Central  Google Scholar 

Takada T, Fujii K, Kudo M, Sasaki S, Yano T, Yagi Y, et al. Diagnostic performance of food consumption for bacteraemia in patients admitted with suspected infection: a prospective cohort study. BMJ Open. 2021;11:e044270.

Article  PubMed  PubMed Central  Google Scholar 

Takamatsu A, Mito H. Predicting bacteremia in the emergency department. J Gen Intern Med. 2016;31:S351–2.

Google Scholar 

Taniguchi T, Tsuha S, Shiiki S, Narita M, Teruya M, Hachiman T, et al. High yield of blood cultures in the etiologic diagnosis of cellulitis, erysipelas, and cutaneous abscess in elderly patients. Open Forum Infect Dis. 2022;9:317.

Article  PubMed  PubMed Central  Google Scholar 

Yoshino N, Kimura S-I, Matsuoka A, Meno T, Ishikawa T, Nakamura Y, et al. Clinical features of febrile neutropenia and bloodstream infection in autologous hematopoietic cell transplantation: comparison to those in intensive chemotherapy for acute myeloid leukemia. J Infect Chemother. 2023;29:384–90.

Article  CAS  PubMed  Google Scholar 

Choi DH, Lim MH, Kim KH, Shin SD, Hong KJ, Kim S. Development of an artificial intelligence bacteremia prediction model and evaluation of its impact on physician predictions focusing on uncertainty. Sci Rep. 2023;13:13518.

Article  CAS  PubMed