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Sensitivity, Specificity and Predictive Value of Heart Rate Variability Indices in Type 1 Diabetes Mellitus
Anne Kastelianne França da Silva1, Diego Giuliano Destro Christofaro1, Aline Fernanda Barbosa Bernardo2
1Universidade Estadual Paulista Júlio de Mesquita Filho, Presidente Prudente, SP, Brazil.
Insights
Heart rate variability (HRV) indices reveal autonomic nervous system changes in young individuals with type 1 diabetes mellitus (T1DM). Specific HRV measures accurately differentiate T1DM patients from healthy controls.
Area of Science:
- Cardiology
- Endocrinology
- Autonomic Neuroscience
Background:
- Heart rate variability (HRV) indices show potential for accurately detecting autonomic dysfunction.
- Autonomic modulation may be altered in individuals with type 1 diabetes mellitus (T1DM), but research in this area is limited.
Purpose of the Study:
- To compare HRV indices between young individuals with T1DM and healthy controls.
- To evaluate the prognostic value of HRV indices using sensitivity, specificity, and predictive values.
Main Methods:
- A cross-sectional study involving 39 young patients with T1DM and 43 healthy controls.
- Beat-to-beat HRV was measured for 30 minutes using a Polar S810i heart rate monitor.
- Multiple HRV indices were calculated, including SDNN, RMSSD, PNN50, TINN, RRTri, LF ms2, HF ms2, LF un, HF un, LF/HF, SD1, SD2, SD1/SD2, and ApEn.
Main Results:
- Type 1 DM subjects exhibited reduced sympathetic and parasympathetic activities and overall autonomic nervous system variability.
- Indices such as RMSSD, SDNN, PNN50, LF ms2, HF ms2, RRTri, SD1, and SD2 demonstrated high diagnostic accuracy in distinguishing diabetic individuals.
Conclusions:
- Individuals with T1DM display altered autonomic modulation.
- Specific HRV indices (SDNN, RMSSD, PNN50, RRtri, LF ms2, HF ms2, SD1, SD2) can serve as valuable tools for discriminating T1DM patients.
Background:
Heart rate variability (HRV) indices may detect autonomic changes with good diagnostic accuracy. Type diabetes mellitus (DM) individuals may have changes in autonomic modulation; however, studies of this nature in this population are still scarce.
Objective:
To compare HRV indices between and assess their prognostic value by measurements of sensitivity, specificity and predictive values in young individuals with type 1 DM and healthy volunteers.
Methods:
In this cross-sectional study, physical and clinical assessment was performed in 39 young patients with type 1 DM and 43 young healthy controls. For HRV analysis, beat-to-beat heart rate variability was measured in dorsal decubitus, using a Polar S810i heart rate monitor, for 30 minutes. The following indices were calculated: SDNN, RMSSD, PNN50, TINN, RRTri, LF ms2, HF ms2, LF un, HF un, LF/HF, SD1, SD2, SD1/SD2, and ApEn.
Results:
Type 1 DM subjects showed a decrease in sympathetic and parasympathetic activities, and overall variability of autonomic nervous system. The RMSSD, SDNN, PNN50, LF ms2, HF ms2, RRTri, SD1 and SD2 indices showed greater diagnostic accuracy in discriminating diabetic from healthy individuals.
Conclusion:
Type 1 DM individuals have changes in autonomic modulation. The SDNN, RMSSD, PNN50, RRtri, LF ms2, HF ms2, SD1 and SD2 indices may be alternative tools to discriminate individuals with type 1 DM.
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