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Eosinopenia as a diagnostic marker of bloodstream infection in a general internal medicine setting: a cohort study.

ABSTRACT: BACKGROUND:Little is known about the potential use of the eosinophil count as a predictive marker of bloodstream infection. In this study, we aimed to assess the reliability of eosinopenia as a predictive marker of bloodstream infection. METHODS:This retrospective cohort study was performed in the outpatient department and general internal medicine department of a tertiary university hospital in Japan. A total of 189 adult patients with at least 2 sets of blood cultures obtained during the period January 1-December 31, 2018, were included; those with the use of antibiotic therapy within 2 weeks prior to blood culture, steroid therapy, or a history of haematological cancer were excluded. The diagnostic accuracies of each univariate variable and the multivariable logistic regression models were assessed by calculating the areas under the receiver operating characteristic curves (AUROCs). The primary outcome was a positive blood culture indicating bloodstream infection. RESULTS:Severe eosinopenia (< 24.4 cells/mm3) alone yielded small but statistically significant overall predictive ability (AUROC: 0.648, 95% confidence interval (CI): 0.547-0.748, P < 0.05), and only moderate sensitivity (68, 95% CI: 46-85%) and specificity (62, 95% CI: 54-69%). The model comprising baseline variables (age, sex), the C-reactive protein level, and neutrophil count yielded an AUROC of 0.729, and further addition of eosinopenia yielded a slight improvement, with an AUROC of 0.758 (P < 0.05) and a statistically significant net reclassification improvement (NRI) (P = 0.003). However, the integrated discrimination index (IDI) (P = 0.284) remained non-significant. CONCLUSIONS:Severe eosinopenia can be considered an inexpensive marker of bloodstream infection, although of limited diagnostic accuracy, in a general internal medicine setting.

SUBMITTER: Hirosawa T

PROVIDER: S-EPMC6990586 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Eosinopenia as a diagnostic marker of bloodstream infection in a general internal medicine setting: a cohort study.

Hirosawa Takanobu T Harada Yukinori Y Morinaga Kohei K Takase Hiroshi H Nin Michihiro M Shimizu Taro T

BMC infectious diseases 20200130 1

<h4>Background</h4>Little is known about the potential use of the eosinophil count as a predictive marker of bloodstream infection. In this study, we aimed to assess the reliability of eosinopenia as a predictive marker of bloodstream infection.<h4>Methods</h4>This retrospective cohort study was performed in the outpatient department and general internal medicine department of a tertiary university hospital in Japan. A total of 189 adult patients with at least 2 sets of blood cultures obtained d ...[more]

PMID: 32000694

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Project description:BackgroundThe identification of infection in an internal medicine ward is crucial but not always straightforward. Eosinopenia has been proposed as a marker of infection, but specific cutoffs for prediction are not established yet. We aim to assess whether there is difference in eosinophil count between infected and noninfected patients and, if so, the best cutoffs to differentiate them.MethodsCross-sectional, observational study with analysis of all patients admitted to an Internal Medicine Department during 2 consecutive months. Clinical, laboratory and imaging data were analyzed. Infection at hospital admission was defined in the presence of either a microbiological isolation or suggestive clinical, laboratory, and/or imaging findings. Use of antibiotics in the 8 days before hospital admission, presence of immunosuppression, hematologic neoplasms, parasite, or fungal infections were exclusion criteria. In case of multiple hospital admissions, only the first admission was considered.Sensitivity and specificity values for eosinophils, leukocytes, neutrophils, and C-reactive protein were determined by receiver operating characteristic curve. Statistical analysis was performed with IBM SPSS Statistics® v25 and MedCalc Statistical Software® v19.2.3.ResultsA total of 323 hospitalization episodes were evaluated, each corresponding to a different patient. One hundred fifteen patients were excluded. A total of 208 patients were included, 62.0% (n = 129) of them infected at admission. Ten patients had multiple infections.Infected patients had fewer eosinophils than uninfected patients (15.8 ± 42 vs 71.1 ± 159 cell/mm3; P < .001). An eosinophil count at admission ≤69 cell/mm3 had a sensitivity of 89.1% and specificity of 54.4% (area under the curve 0.752; 95% confidence interval 0.682-0.822) for the presence of infection. Eosinophil count of >77 cells/mm3 had a negative likelihood ratio of 0.16.ConclusionsEosinophil count was significantly lower in infected than in uninfected patients. The cutoff 69 cells/mm3 was the most accurate in predicting infection. Eosinophil count >77 cells/mm3 was a good predictor of absence of infection.

Project description:BACKGROUND:The precise scope of hospital care delivered under general internal medicine services remains poorly quantified. The purpose of this study was to describe the demographic characteristics, medical conditions, health outcomes and resource use of patients admitted to general internal medicine at 7 hospital sites in the Greater Toronto Area. METHODS:This was a retrospective cohort study involving all patients who were admitted to or discharged from general internal medicine at the study sites between Apr. 1, 2010, and Mar. 31, 2015. Clinical data from hospital electronic information systems were linked to administrative data from each hospital. We examined trends in resource use and patient characteristics over the study period. RESULTS:There were 136 208 admissions to general internal medicine involving 88 121 unique patients over the study period. General internal medicine admissions accounted for 38.8% of all admissions from the emergency department and 23.7% of all hospital bed-days. Over the study period, the number of admissions to general internal medicine increased by 32.4%; there was no meaningful change in the median length of stay or cost per hospital stay. The median patient age was 73 (interquartile range [IQR] 57-84) years, and the median number of coexisting conditions was 6 (IQR 3-9). The median acute length of stay was 4.6 (IQR 2.5-8.6) days, and the median total cost per hospital stay was $5850 (IQR $3915-$10 061). Patients received at least 1 computed tomography scan in 52.2% of admissions. The most common primary discharge diagnoses were pneumonia (5.0% of admissions), heart failure (4.7%), chronic obstructive pulmonary disease (4.1%), urinary tract infection (4.0%) and stroke (3.6%). INTERPRETATION:Patients admitted to general internal medicine services represent a large, heterogeneous, resource-intensive and growing population. Understanding and improving general internal medicine care is essential to promote a high-quality, sustainable health care system.

Project description:BackgroundPeople who are homeless have a higher burden of illness and higher rates of hospital admission and readmission compared to the general population. Identifying the factors associated with hospital readmission could help healthcare providers and policymakers improve post-discharge care for homeless patients.ObjectiveTo identify factors associated with hospital readmission within 90 days of discharge from a general internal medicine unit among patients experiencing homelessness.DesignThis prospective observational study was conducted at an urban academic teaching hospital in Toronto, Canada. Interviewer-administered questionnaires and chart reviews were completed to assess medical, social, processes of care, and hospitalization data. Multivariable logistic regression with backward selection was used to identify factors associated with a subsequent readmission and estimate odds ratios and 95% confidence intervals.ParticipantsAdults (N = 129) who were admitted to the general internal medicine service between November 2017 and November 2018 and who were homeless at the time of admission.Main measuresUnplanned all-cause readmission to the study hospital within 90 days of discharge.Key resultsThirty-five of 129 participants (27.1%) were readmitted within 90 days of discharge. Factors associated with lower odds of readmission included having an active case manager (adjusted odds ratios [aOR]: 0.31, 95% CI, 0.13-0.76), having informal support such as friends and family (aOR: 0.25, 95% CI, 0.08-0.78), and sending a copy of the patient's discharge plan to a primary care physician who had cared for the patient within the last year (aOR: 0.44, 95% CI, 0.17-1.16). A higher number of medications prescribed at discharge was associated with higher odds of readmission (aOR: 1.12, 95% CI, 1.02-1.23).ConclusionInterventions to reduce hospital readmission for people who are homeless should evaluate tailored discharge planning and dedicated resources to support implementation of these plans in the community.

Dataset Information

Eosinopenia as a diagnostic marker of bloodstream infection in a general internal medicine setting: a cohort study.

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Eosinopenia as a diagnostic marker of bloodstream infection in a general internal medicine setting: a cohort study.

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