Literature DB >> 35020904

Characterizing the effect of incrementally increasing dry bulb temperature on linear and nonlinear measures of heart rate variability in nonpregnant, mid-gestation, and late-gestation sows.

Christopher J Byrd1, Betty R McConn2, Brianna N Gaskill3, Allan P Schinckel3, Angela R Green-Miller4, Donald C Lay5, Jay S Johnson5.   

Abstract

Characterizing the sow physiological response to an increased heat load is essential for effective heat stress mitigation. The study objective was to characterize the effects of a 400-min heating episode on sow heart rate variability (HRV) at different reproductive stages. HRV is a commonly used noninvasive proxy measure of autonomic function. Twenty-seven sows were enrolled in the study according to their gestation stage at time of selection: 1) nonpregnant (NP; n = 7), 2) mid-gestation (MID; 57.3 ± 11.8 d gestation; n = 11), and 3) late-gestation (LATE; 98.8 ± 4.9 d gestation; n = 8). The HRV data utilized in the study were collected from each pig as the dry bulb temperature in the room increased incrementally from 19.84 ± 2.15 °C to 35.54 ± 0.43 °C (range: 17.1-37.5 °C) over a 400-min period. After data collection, one 5-min set of continuous heart rate data were identified per pig for each of nine temperature intervals (19-20.99, 21-22.99, 23-24.99, 25-26.99, 27-28.99, 29-30.99, 31-32.99, 33-34.99, and 35-36.99 °C). Mean inter-beat interval length (RR), standard deviation of r-r intervals (SDNN), root mean square of successive differences (RMSSD), high frequency spectral power (HF), sample entropy (SampEn), short-term detrended fluctuation analysis (DFAα1), and three measures (%REC, DET, LMEAN) derived from recurrence quantification analysis were calculated for each data set. All data were analyzed using the PROC GLIMMIX procedure in SAS 9.4. Overall, LATE sows exhibited lower RR than NP sows (P < 0.01). The standard deviation of r-r intervals and RMSSD differed between each group (P < 0.01), with LATE sows exhibiting the lowest SDNN and RMSSD and NP sows exhibiting the greatest SDNN and RMSSD. Late-gestation sows exhibited lower HF than both MID and NP sows (P < 0.0001), greater DFA values than NP sows (P = 0.05), and greater DET compared to MID sows (P = 0.001). Late-gestation also sows exhibited greater %REC and LMEAN compared to MID (P < 0.01) and NP sows (all P < 0.01). In conclusion, LATE sows exhibited indicators of greater autonomic stress throughout the heating period compared to MID and NP sows. However, temperature by treatment interactions were not detected as dry bulb increased. Future studies are needed to fully elucidate the effect of gestational stage and increasing dry bulb temperature on sow HRV.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  gestation; heart rate variability; heat stress; physiology; sow

Mesh:

Year:  2022        PMID: 35020904      PMCID: PMC8827002          DOI: 10.1093/jas/skac004

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  39 in total

1.  Sample entropy analysis of neonatal heart rate variability.

Authors:  Douglas E Lake; Joshua S Richman; M Pamela Griffin; J Randall Moorman
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2002-09       Impact factor: 3.619

Review 2.  Methods derived from nonlinear dynamics for analysing heart rate variability.

Authors:  Andreas Voss; Steffen Schulz; Rico Schroeder; Mathias Baumert; Pere Caminal
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-01-28       Impact factor: 4.226

3.  Fractal mechanisms and heart rate dynamics. Long-range correlations and their breakdown with disease.

Authors:  C K Peng; S Havlin; J M Hausdorff; J E Mietus; H E Stanley; A L Goldberger
Journal:  J Electrocardiol       Date:  1995       Impact factor: 1.438

4.  Blunted sympathetic neurovascular transduction during normotensive pregnancy.

Authors:  Craig D Steinback; Graham M Fraser; Charlotte W Usselman; Laura M Reyes; Colleen G Julian; Michael K Stickland; Radha S Chari; Rshmi Khurana; Sandra T Davidge; Margie H Davenport
Journal:  J Physiol       Date:  2019-06-13       Impact factor: 5.182

Review 5.  Heat stress in pregnant sows: Thermal responses and subsequent performance of sows and their offspring.

Authors:  Matthew C Lucy; Timothy J Safranski
Journal:  Mol Reprod Dev       Date:  2017-07-11       Impact factor: 2.609

6.  Prediction of paroxysmal atrial fibrillation using recurrence plot-based features of the RR-interval signal.

Authors:  Maryam Mohebbi; Hassan Ghassemian
Journal:  Physiol Meas       Date:  2011-06-27       Impact factor: 2.833

7.  Sympathetic activation during early pregnancy in humans.

Authors:  Sara S Jarvis; Shigeki Shibata; Tiffany B Bivens; Yoshiyuki Okada; Brian M Casey; Benjamin D Levine; Qi Fu
Journal:  J Physiol       Date:  2012-06-11       Impact factor: 5.182

8.  Effects of a controlled heat stress during late gestation, lactation, and after weaning on thermoregulation, metabolism, and reproduction of primiparous sows.

Authors:  A M Williams; T J Safranski; D E Spiers; P A Eichen; E A Coate; M C Lucy
Journal:  J Anim Sci       Date:  2013-03-18       Impact factor: 3.159

9.  Evaluation of sow thermal preference across three stages of reproduction.

Authors:  Lindsey A Robbins; Angela R Green-Miller; Donald C Lay; Allan P Schinckel; Jay S Johnson; Brianna N Gaskill
Journal:  J Anim Sci       Date:  2021-08-01       Impact factor: 3.338

Review 10.  An Overview of Heart Rate Variability Metrics and Norms.

Authors:  Fred Shaffer; J P Ginsberg
Journal:  Front Public Health       Date:  2017-09-28
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