Abstract

BackgroundEarly diagnosis of sepsis enables timely resuscitation and antibiotics and prevents subsequent morbidity and mortality. Clinical approaches relying on point-in-time analysis of vital signs or lab values are often insensitive, non-specific and late diagnostic markers of sepsis. Exploring otherwise hidden information within intervals-in-time, heart rate variability (HRV) has been documented to be both altered in the presence of sepsis, and correlated with its severity. We hypothesized that by continuously tracking individual patient HRV over time in patients as they develop sepsis, we would demonstrate reduced HRV in association with the onset of sepsis.Methodology/Principal FindingsWe monitored heart rate continuously in adult bone marrow transplant (BMT) patients (n = 21) beginning a day before their BMT and continuing until recovery or withdrawal (12±4 days). We characterized HRV continuously over time with a panel of time, frequency, complexity, and scale-invariant domain techniques. We defined baseline HRV as mean variability for the first 24 h of monitoring and studied individual and population average percentage change (from baseline) over time in diverse HRV metrics, in comparison with the time of clinical diagnosis and treatment of sepsis (defined as systemic inflammatory response syndrome along with clinically suspected infection requiring treatment). Of the 21 patients enrolled, 4 patients withdrew, leaving 17 patients who completed the study. Fourteen patients developed sepsis requiring antibiotic therapy, whereas 3 did not. On average, for 12 out of 14 infected patients, a significant (25%) reduction prior to the clinical diagnosis and treatment of sepsis was observed in standard deviation, root mean square successive difference, sample and multiscale entropy, fast Fourier transform, detrended fluctuation analysis, and wavelet variability metrics. For infected patients (n = 14), wavelet HRV demonstrated a 25% drop from baseline 35 h prior to sepsis on average. For 3 out of 3 non-infected patients, all measures, except root mean square successive difference and entropy, showed no significant reduction. Significant correlation was present amongst these HRV metrics for the entire population.Conclusions/SignificanceContinuous HRV monitoring is feasible in ambulatory patients, demonstrates significant HRV alteration in individual patients in association with, and prior to clinical diagnosis and treatment of sepsis, and merits further investigation as a means of providing early warning of sepsis.

Highlights

  • Severe sepsis and septic shock are major causes of mortality and costs in critically ill patients [1,2]

  • The method that we propose examines a panel of heart rate variability (HRV) metrics computed continuously over time prior to and during the clinical diagnosis of sepsis in patients at high risk for systemic infection, namely neutropenic patients following bone marrow transplant

  • We demonstrate that (a) it is feasible to enroll and perform continuous HRV analysis of prospectively collected non-stationary heart rate (HR) data in ambulatory patients, (b) continuous variability analysis demonstrates a reduction in individual patient HRV in association with the presence of sepsis, and (c) the alteration in HRV occurs within a clinically relevant period prior to when standard clinical measures lead to clinical diagnosis and treatment

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Summary

Introduction

Severe sepsis and septic shock are major causes of mortality and costs in critically ill patients [1,2]. Acute neutropenia is a frequent and intended iatrogenic side effect of cytotoxic chemotherapy and radiotherapy, commonly employed in the management of malignant hematological diseases, most commonly leukemia and lymphoma, leading to increasing risk of opportunistic infections and sepsis [3]. This is apparent in individuals undergoing induction chemotherapy and bone marrow transplantation (BMT) for acute leukemia due to severe prolonged neutropenia [4]. Patients undergoing bone marrow transplantation comprise a group which is at a high risk of systemic infection (approximately 80%) and mortality (approximately 5%) [5,6]. We hypothesized that by continuously tracking individual patient HRV over time in patients as they develop sepsis, we would demonstrate reduced HRV in association with the onset of sepsis

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