Elsevier

The American Journal of Medicine

Volume 118, Issue 12, December 2005, Pages 1417.e1-1417.e6
The American Journal of Medicine

Clinical research study
The degree of chills for risk of bacteremia in acute febrile illness

https://doi.org/10.1016/j.amjmed.2005.06.043Get rights and content

Abstract

Purpose

Patients with acute febrile illness may experience different degrees of chills. To evaluate the different degrees of chills in predicting risk of bacteremia in patients with acute febrile illness, we performed a single-center prospective observational study.

Methods

We enrolled consecutive adult patients with acute febrile illness presenting to our emergency department. We defined mild chills as cold-feeling equivalent such as the need of an outer jacket; moderate chills as the need for a thick blanket; and shaking chills as whole-body shaking even under a thick blanket. We estimated risk ratios of the different degrees of chills for bacteremia using multivariable adjusted Poisson regression.

Results

Of a total 526 patients, 40 patients (7.6%) had bacteremia. There were 65 patients (12.4%) with shaking chills, 100 (19%) with moderate chills, and 105 (20%) with mild chills. By comparing patients with no chills, the risk ratios of bacteremia were 12.1 (95% confidence interval [CI] 4.1-36.2) for shaking chills, 4.1 (95% CI 1.6-10.7) for moderate chills, and 1.8 (95% CI 0.9-3.3) for mild chills. Shaking chills showed a specificity of 90.3% (95% CI 89.2-91.5) and positive likelihood ratio of 4.65 (95% CI 2.95-6.86). The absence of chills showed a sensitivity of 87.5% (95% CI 74.4-94.5) and negative likelihood ratio of 0.24 (95% CI 0.11-0.51).

Conclusion

Evaluation of the degree of chills is important for estimating risk of bacteremia in patients with acute febrile illness. The more severe degree of chills suggests the higher risk of bacteremia.

Section snippets

Patient assembly and data collection

In our prospective observational study, we enrolled consecutive patients (aged 15 years and older) who presented with acute febrile illness and were admitted to the emergency department of Okinawa Chubu Hospital, Japan. The hospital is a major community hospital and provides primary and specialty care to a population of approximately 400 000. Patient enrollment was from 2 periods (May to July and January to March) to include both summer and winter seasons.

The patient inclusion criteria were all

Statistical analysis

We used risk ratios as the primary measure of association for bacteremia of patients with different degrees of chills in reference to patients with no chills. We estimated risk ratios by multivariable Poisson regression rather than by using logistic regression in which odds ratio may overestimate true relative risk when analyzing common outcome.25 Risk ratio is also easier to understand for a nonepidemiologist than odds ratio.26 Additionally, we determined statistical characteristics such as

Results

We enrolled and analyzed a total of 526 consecutive febrile emergency department patients. Mean age was 57 years (range 15-106) and 248 (47%) were men. Table 1 shows the clinical characteristics for each degree of chills and total patients. Of 526 patients, 256 patients had no chills (48.7%; 95% confidence interval [CI] 44.3-53.0%); 105 patients had mild chills (20.0%; 95% CI 16.6-23.6%); 100 patients had moderate chills (19.0%; 95% CI 15.8-22.6%); and 65 patients had shaking chills (12.4%; 95%

Discussion

Our study showed that the increased degrees of chills indicated a higher risk of bacteremia in patients with acute febrile illness. Particularly, patients with shaking chills had the greatest risk of bacteremia. Our data highlight the prudent use of qualitative chill degrees when interviewing patients with acute febrile illness. We may need to elicit a more precise focus on this useful component of clinical history. Moreover, the diligent observant medical interview has minimal cost while it

Acknowledgment

We thank Mrs. Tomoko Yonaha for her excellent secretarial support.

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