Abstrait

Shock patients heart rate variability factors

Rabindra Nath Das

Objectives: The current article identifies the shock patients heart rate variability factors. Specially, it aims to determine the mean and variance heart rate variability factors for shock patients.

Background: The casual factors of heart rate variability for shock patients are partially known in the literature. Methods: The response heart rate for shock patients is positive & heterogeneous. It may belong to exponential family distribution. Generally, joint generalized linear models (JGLMs) (Lognormal or gamma) fitting may be used.

Results: The mean hear rate decreases as the systolic blood pressure (BP) (SBP) (P=0.0281), or age (P<0.0001), or diastolic BP (DBP) (P<0.0001), or cardiac index (P<0.0001), or hematocrit (HCT) (P=0.0606), or mean circulation time (MCT) (P=0.0606) decreases, and vice versa. The mean heart rate is partially higher of female (P=0.1478) than male shock patients, and it is directly partially related with the shock types (P=0.1065). The heart rate response decreases as the mean arterial BP (MAP) (P<0.0001), or appearance time (AT) (P<0.0001), or body surface index (BSI) (P=0.1361) increases. It is inversely partially correlated with the card sequence (RECORD) (P= 0.0591). The heart rate variance decreases as the MAP (P=0.0110), or age (P=0.0055) increases. The heart rate variance is lower for female (P=0.0057), than male shock patients, and it is negatively partially associated with the shock types (P=0.1104). The heart rate variance increases as the diastolic BP (P=0.0615), or mean central venous pressure (MCVP) (P=0.0060), or urinary output (UO) (P=0.0076), or red cell index (RCI) (P=0.0243) increases.

Conclusion: Impacts of many factors such as gender, age, SBP, DBP, MAP, MCVP, CI, MCT, HCT, BSI, AT, RECORD on heart rate for shock patients have been derived based on statistical modeling. Many of the current results are new in the shock patients heart rate literature.