Ventilation standards for small mammals

1964 ◽  
Vol 19 (2) ◽  
pp. 360-362 ◽  
Author(s):  
Leonard I. Kleinman ◽  
Edward P. Radford
Keyword(s):  
Body Weight ◽  
Tidal Volume ◽  
Small Mammals ◽  
Artificial Respiration ◽  
Alveolar Ventilation ◽  
Breathing Frequency ◽  
Slide Rule ◽  
Physiological Dead Space ◽  
The Relationship ◽  
Tidal Volume Breathing

Ventilation standards for small mammals have been prepared on the basis of the relationship between alveolar ventilation and metabolism. On the assumptions of an average respiratory quotient of 0.85 and physiological dead space directly proportional to tidal volume, the relationship between tidal volume, breathing frequency, and body weight has been derived. The standards are presented in a graphic form and as a slide rule. animal ventilation; artificial respiration; tidal volume, breathing frequency and body weight relationship Submitted on August 15, 1963

Physiological dead space during high-frequency ventilation in dogs

1984 ◽  
Vol 57 (3) ◽  
pp. 881-887 ◽  
Author(s):  
G. G. Weinmann ◽  
W. Mitzner ◽  
S. Permutt
Keyword(s):  
Gas Exchange ◽  
Tidal Volume ◽  
Dead Space ◽  
High Frequency ◽  
Minute Ventilation ◽  
Alveolar Ventilation ◽  
High Frequency Ventilation ◽  
Physiological Dead Space ◽  
Frequency Ventilation ◽  
Normal Ventilation

Tidal volumes used in high-frequency ventilation (HFV) may be smaller than anatomic dead space, but since gas exchange does take place, physiological dead space (VD) must be smaller than tidal volume (VT). We quantified changes in VD in three dogs at constant alveolar ventilation using the Bohr equation as VT was varied from 3 to 15 ml/kg and frequency (f) from 0.2 to 8 Hz, ranges that include normal as well as HFV. We found that VD was relatively constant at tidal volumes associated with normal ventilation (7–15 ml/kg) but fell sharply as VT was reduced further to tidal volumes associated with HFV (less than 7 ml/kg). The frequency required to maintain constant alveolar ventilation increased slowly as tidal volume was decreased from 15 to 7 ml/kg but rose sharply with attendant rapid increases in minute ventilation as tidal volumes were decreased to less than 7 ml/kg. At tidal volumes less than 7 ml/kg, the data deviated substantially from the conventional alveolar ventilation equation [f(VT - VD) = constant] but fit well a model derived previously for HFV. This model predicts that gas exchange with volumes smaller than dead space should vary approximately as the product of f and VT2.

Changes in breathing when switching from nares to tracheostomy breathing in awake ponies

1985 ◽  
Vol 59 (4) ◽  
pp. 1214-1221 ◽  
Author(s):  
H. V. Forster ◽  
L. G. Pan ◽  
G. E. Bisgard ◽  
C. Flynn ◽  
R. E. Hoffer
Keyword(s):  
Pulmonary Ventilation ◽  
Alveolar Ventilation ◽  
Breathing Frequency ◽  
Collection System ◽  
Heavy Exercise ◽  
Arterial Pco2 ◽  
Physiological Dead Space ◽  
Control Tube ◽  
Lung Resistance ◽  
System F

We assessed the consequences of respiratory unloading associated with tracheostomy breathing (TBr). Three normal and three carotid body-denervated (CBD) ponies were prepared with chronic tracheostomies that at rest reduced physiological dead space (VD) from 483 +/- 60 to 255 +/- 30 ml and lung resistance from 1.5 +/- 0.14 to 0.5 +/- 0.07 cmH2O . l-1 . s. At rest and during steady-state mild-to-heavy exercise arterial PCO2 (PaCO2) was approximately 1 Torr higher during nares breathing (NBr) than during TBr. Pulmonary ventilation and tidal volume (VT) were greater and alveolar ventilation was less during NBr than TBr. Breathing frequency (f) did not differ between NBr and TBr at rest, but f during exercise was greater during TBr than during NBr. These responses did not differ between normal and CBD ponies. We also assessed the consequences of increasing external VD (300 ml) and resistance (R, 0.3 cmH2O . l-1 . s) by breathing through a tube. At rest and during mild exercise tube breathing caused PaCO2 to transiently increase 2–3 Torr, but 3–5 min later PaCO2 usually was within 1 Torr of control. Tube breathing did not cause f to change. When external R was increased 1 cmH2O . l-1 . s by breathing through a conventional air collection system, f did not change at rest, but during exercise f was lower than during unencumbered breathing. These responses did not differ between normal, CBD, and hilar nerve-denervated ponies, and they did not differ when external VD or R were added at either the nares or tracheostomy.

Respiratory dead space and arterial to end-tidal CO2 tension difference in anesthetized man

1960 ◽  
Vol 15 (3) ◽  
pp. 383-389 ◽  
Author(s):  
J. F. Nunn ◽  
D. W. Hill
Keyword(s):  
Tidal Volume ◽  
Dead Space ◽  
Artificial Respiration ◽  
Physiological Dead Space ◽  
Anatomical Dead Space ◽  
The Subject ◽  
The Mean ◽  
The Difference ◽  
End Tidal ◽  
End Tidal Co2

Observations were made during both spontaneous and artificial respiration on 12 fit patients anesthetized for routine surgical procedures. Above a tidal volume of 350 ml (BTPS), the anatomical dead space was close to the predicted normal value for the subject. Below 350 ml, it was reduced in proportion to the tidal volume. The physiological dead space (below the carina) approximated to 0.3 times the tidal volume for tidal volumes between 163 and 652 ml (BTPS). Throughout the range the physiological dead space was considerably in excess of the anatomical dead space measured simultaneously. The difference (alveolar dead space) varied from 15 to 231 ml, being roughly proportional to the tidal volume. The mean arterial to end-tidal CO2 tension difference was 4.6 (S.D. ±2.5) mm Hg and not related to tidal volume or arterial CO2 tension. None of the findings appeared to depend on whether the respiration was spontaneous or artificial. Submitted on September 25, 1959

scholarly journals Reliability of mechanical ventilation during continuous chest compressions: a crossover study of transport ventilators in a human cadaver model of CPR

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Simon Orlob ◽  
Johannes Wittig ◽  
Christoph Hobisch ◽  
Daniel Auinger ◽  
Gabriel Honnef ◽  
...  
Keyword(s):  
Body Weight ◽  
Crossover Study ◽  
Tidal Volume ◽  
Linear Models ◽  
Mixed Linear Model ◽  
Alveolar Ventilation ◽  
Mixed Linear Models ◽  
Chest Compressions ◽  
Predicted Body Weight ◽  
Random Factor

Abstract Background Previous studies have stated that hyperventilation often occurs in cardiopulmonary resuscitation (CPR) mainly due to excessive ventilation frequencies, especially when a manual valve bag is used. Transport ventilators may provide mandatory ventilation with predetermined tidal volumes and without the risk of hyperventilation. Nonetheless, interactions between chest compressions and ventilations are likely to occur. We investigated whether transport ventilators can provide adequate alveolar ventilation during continuous chest compression in adult CPR. Methods A three-period crossover study with three common transport ventilators in a cadaver model of CPR was carried out. The three ventilators ‘MEDUMAT Standard²’, ‘Oxylog 3000 plus’, and ‘Monnal T60’ represent three different interventions, providing volume-controlled continuous mandatory ventilation (VC-CMV) via an endotracheal tube with a tidal volume of 6 mL/kg predicted body weight. Proximal airflow was measured, and the net tidal volume was derived for each respiratory cycle. The deviation from the predetermined tidal volume was calculated and analysed. Several mixed linear models were calculated with the cadaver as a random factor and ventilator, height, sex, crossover period and incremental number of each ventilation within the period as covariates to evaluate differences between ventilators. Results Overall median deviation of net tidal volume from predetermined tidal volume was − 21.2 % (IQR: 19.6, range: [− 87.9 %; 25.8 %]) corresponding to a tidal volume of 4.75 mL/kg predicted body weight (IQR: 1.2, range: [0.7; 7.6]). In a mixed linear model, the ventilator model, the crossover period, and the cadaver’s height were significant factors for decreased tidal volume. The estimated effects of tidal volume deviation for each ventilator were − 14.5 % [95 %-CI: −22.5; −6.5] (p = 0.0004) for ‘Monnal T60’, − 30.6 % [95 %-CI: −38.6; −22.6] (p < 0.0001) for ‘Oxylog 3000 plus’ and − 31.0 % [95 %-CI: −38.9; −23.0] (p < 0.0001) for ‘MEDUMAT Standard²’. Conclusions All investigated transport ventilators were able to provide alveolar ventilation even though chest compressions considerably decreased tidal volumes. Our results support the concept of using ventilators to avoid excessive ventilatory rates in CPR. This experimental study suggests that healthcare professionals should carefully monitor actual tidal volumes to recognise the occurrence of hypoventilation during continuous chest compressions.

Effect of hilar nerve denervation on breathing and arterial PCO2 during CO2 inhalation

1985 ◽  
Vol 59 (3) ◽  
pp. 807-813 ◽  
Author(s):  
C. Flynn ◽  
H. V. Forster ◽  
L. G. Pan ◽  
G. E. Bisgard
Keyword(s):  
Response Curve ◽  
Minute Ventilation ◽  
Alveolar Ventilation ◽  
Breathing Frequency ◽  
Vagus Nerves ◽  
Inspiratory Time ◽  
Arterial Pco2 ◽  
Physiological Dead Space ◽  
Per Se ◽  
Sensory Mechanism

We determined the effects of denervating the hilar branches (HND) of the vagus nerves on breathing and arterial PCO2 (PaCO2) in awake ponies during eupnea and when inspired PCO2 (PICO2) was increased to 14, 28, and 42 Torr. In five carotid chemoreceptor-intact ponies, breathing frequency (f) was less, whereas tidal volume (VT), inspiratory time (TI), and ratio of TI to total cycle time (TT) were greater 2–4 wk after HND than before HND. HND per se did not significantly affect PaCO2 at any level of PICO2, and the minute ventilation (VE)-PaCO2 response curve was not significantly altered by HND. Finally, the attenuation of a thermal tachypnea by elevated PICO2 was not altered by HND. Accordingly, in carotid chemoreceptor-intact ponies, the only HND effect on breathing was the change in pattern classically observed with attenuated lung volume feedback. There was no evidence suggestive of a PCO2-H+ sensory mechanism influencing VE, f, VT, or PaCO2. In ponies that had the carotid chemoreceptors denervated (CBD) 3 yr earlier, HND also decreased f, increased VT, TI, and TT, but did not alter the slope of the VE-PaCO2 response curve. However, at all levels of elevated PICO2, the arterial hypercapnia that had persistently been attenuated, since CBD was restored to normal by HND. The data suggest that during CO2 inhalation in CBD ponies a hilar-innervated mechanism influences PaCO2 by reducing physiological dead space to increase alveolar ventilation.

A comparison of tidal volume, breathing frequency, and minute ventilation between two sitting postures in healthy adults

2003 ◽  
Vol 19 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Merrill Landers ◽  
Greg Barker ◽  
Scott Wallentine ◽  
J. Wesley McWhorter ◽  
Claire Peel
Keyword(s):  
Tidal Volume ◽  
Minute Ventilation ◽  
Healthy Adults ◽  
Breathing Frequency ◽  
Tidal Volume Breathing

Proportionality between chest wall resistance and elastance

1991 ◽  
Vol 70 (2) ◽  
pp. 511-515 ◽  
Author(s):  
G. M. Barnas ◽  
D. Stamenovic ◽  
J. J. Fredberg
Keyword(s):  
Tidal Volume ◽  
Chest Wall ◽  
Narrow Range ◽  
Respiratory Muscles ◽  
External Forcing ◽  
Breathing Frequency ◽  
Normal Range ◽  
Normal Ranges ◽  
Wide Range ◽  
The Relationship

Fredberg and Stamenovic (J. Appl. Physiol. 67: 2408-2419, 1989) demonstrated a relatively robust phenomenological relationship between resistance (R) and elastance (E) of lung tissue during external forcing. The relationship can be expressed as omega R = eta E, where omega = 2 pi times forcing frequency and eta is hysteresivity; they found eta to be remarkably invariant under a wide range of circumstances. From data gathered in previous experiments, we have tested the adequacy and utility of this phenomenological description for the chest wall (eta w) and its major compartments, the rib cage (eta rc), diaphragm-abdomen (eta d-a), and belly wall (eta bw+). For forcing frequencies and tidal volumes within the normal range of breathing, we found that eta w remained in a relatively narrow range (0.27-0.37) and that neither eta w nor the compartmental eta's changed much with frequency or tidal volume. Compared with eta w, eta rc tended to be slightly low, whereas eta d-a tended to be slightly higher than eta w. However, at higher frequencies (greater than 1 Hz) all eta's increased appreciably with frequency. During various static nonrespiratory maneuvers involving use of respiratory muscles, eta w increased up to twofold. We conclude that in the normal ranges of breathing frequency and tidal volume 1) elastic and dissipative processes within the chest wall appear to be coupled, 2) eta's of the various component parts of the chest wall are well matched, 3) respiratory muscle contraction increases the ratio of cyclic dissipative losses to energy storage, and 4) R of the relaxed chest wall can be estimated from E.(ABSTRACT TRUNCATED AT 250 WORDS)

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

Sign in / Sign up

Export Citation Format

Share Document