Tabla 1
Datos de mecÔnica respiratoria en condición basal
| TVem |
295.2±88.48 |
| PEEP |
9.95±0.79 |
| PEEPtot |
10.2±1.03 |
| PIP |
43.51±9.26 |
| Pplat |
31.46±4.37 |
| CStatic |
14.55±5.78 |
| Cdyn |
9.22±3.17 |
| DeltaPAirway |
21.26±4.55 |
| Flujo |
26.73±10.53 |
| Raw |
27.3±11.75 |
| Pes.insp |
13.63±5.42 |
| Pes.esp |
10.03±5.27 |
| Ptp.insp |
18.1±4.38 |
| Ptp.esp |
0.55±5.33 |
| DeltaPTp |
17.56±4.19 |
| DeltaPcw |
3.6±1.82 |
| Etot |
7.16±2.42 |
| Ep |
5.89±1.83 |
| Etorax |
1.27±0.74 |
| Ep.Etot |
0.83±0.06 |
Tabla 2
Datos de intercambio gaseoso en condición basal
| PH |
7.2±0.06 |
| PaCO2.1 |
64.7±11.1 |
| PaO2 |
129.75±72.57 |
| HCO3 |
24.8±2.78 |
| SaO2 |
93.39±5.48 |
| Pa.FiO2 |
129.75±72.57 |
Tabla 3
Datos de Vd/Vt en condición basal
| Vdaw |
91 (85-111.31) |
| VCO2br |
6.58±3.25 |
| PACO2 |
33.73±9.27 |
| PECO2 |
15.31±3.97 |
| PetCO2 |
37.97±10.69 |
| Bohr |
0.53±0.05 |
| Vdphys |
151.15±43.65 |
| alV |
45.91±14.62 |
| VTalV |
186.65±63.8 |
| VdalV.VTalV |
0.24 (0.23-0.28) |
| Vdaw.VT |
0.33±0.09 |
| PaCO2 |
64.7±11.1 |
| Pa.ETCO2 |
26.73±7.65 |
| VdB.E.Vt |
0.76±0.05 |
| VdalvB.E |
115.55±32.46 |
| VdalvB.E.Vtalv |
0.64±0.13 |
MecƔnica

VD/VT
Relacion entre Presion espiratoria y VdB y VdB-E

Relacion entre Presion inspiriatoria y VdB y VdB-E

Relacion entre Presion espiratoria y VDalv/VTalv y VDB-E/VTalv

Relacion entre Presion inspiratoria y VDalv/VTalv y VDB-E/VTalv

Relacion entre Presion espiratoria y diferencia BE-B

Modelo lineal de efectos mixtos entre la diferencia BE-B y presion teleespiratoria (Cerdo es random)
## Linear mixed-effects model fit by REML
## Data: datosExp
## AIC BIC logLik
## -102.9066 -95.59205 55.45331
##
## Random effects:
## Formula: ~1 | Cerdo
## (Intercept) Residual
## StdDev: 0.07824689 0.05337411
##
## Fixed effects: difBE_Balv ~ Ptp.esp
## Value Std.Error DF t-value p-value
## (Intercept) 0.4245517 0.030827801 40 13.77171 0
## Ptp.esp -0.0112073 0.001106687 40 -10.12693 0
## Correlation:
## (Intr)
## Ptp.esp -0.131
##
## Standardized Within-Group Residuals:
## Min Q1 Med Q3 Max
## -2.32517202 -0.48805585 0.02251657 0.61972986 2.09853920
##
## Number of Observations: 48
## Number of Groups: 7
## numDF denDF F-value p-value
## (Intercept) 1 40 157.6883 <.0001
## Ptp.esp 1 40 102.5547 <.0001
Relacion entre driving pressure y VDalv/VTalv y VDB-E/VTalv

Relacion entre driving pressure y diferencia BE-B

Relacion entre PTP espiratoria y driving pressure transpulmonar

Relacion entre PTP espiratoria y PTP inspiratoria

Relacion entre presiones y BE-B alveolar
Intercambio gaseoso
Pafi

Graficos multidimensionales

## Linear mixed-effects model fit by REML
## Data: datosExp
## AIC BIC logLik
## -146.2529 -137.2196 78.12645
##
## Random effects:
## Formula: ~1 | Cerdo
## (Intercept) Residual
## StdDev: 0.03362101 0.029605
##
## Fixed effects: VdalV.VTalV ~ Ptp.insp + Ptp.insp:I(Ptp.esp >= 0)
## Value Std.Error DF t-value p-value
## (Intercept) 0.20103001 0.022696939 39 8.857142 0.0000
## Ptp.insp 0.00302134 0.001096221 39 2.756139 0.0088
## Ptp.insp:I(Ptp.esp >= 0)TRUE 0.00083263 0.000586938 39 1.418598 0.1640
## Correlation:
## (Intr) Ptp.ns
## Ptp.insp -0.747
## Ptp.insp:I(Ptp.esp >= 0)TRUE 0.352 -0.744
##
## Standardized Within-Group Residuals:
## Min Q1 Med Q3 Max
## -2.5081026 -0.5352769 -0.0721545 0.5993905 2.1052801
##
## Number of Observations: 48
## Number of Groups: 7
PACO2 y PetCO2 en función de PTp inspiratoria

PaCO2-PACO2 en función de PTp espiratoria

## Linear mixed-effects model fit by REML
## Data: filter(datosExp)
## AIC BIC logLik
## 378.7935 389.4986 -183.3967
##
## Random effects:
## Formula: ~1 | Cerdo
## (Intercept) Residual
## StdDev: 8.541939 8.466309
##
## Fixed effects: I(PaCO2 - PACO2) ~ poly(Ptp.esp, 3, raw = TRUE)
## Value Std.Error DF t-value p-value
## (Intercept) 42.93023 3.681102 38 11.662333 0.0000
## poly(Ptp.esp, 3, raw = TRUE)1 -2.01755 0.309745 38 -6.513597 0.0000
## poly(Ptp.esp, 3, raw = TRUE)2 -0.01744 0.017770 38 -0.981456 0.3326
## poly(Ptp.esp, 3, raw = TRUE)3 0.00392 0.001559 38 2.517295 0.0162
## Correlation:
## (Intr) p(P.,3,r=TRUE)1 p(P.,3,r=TRUE)2
## poly(Ptp.esp, 3, raw = TRUE)1 -0.169
## poly(Ptp.esp, 3, raw = TRUE)2 -0.301 0.178
## poly(Ptp.esp, 3, raw = TRUE)3 0.177 -0.783 -0.521
##
## Standardized Within-Group Residuals:
## Min Q1 Med Q3 Max
## -1.6449209 -0.6130782 -0.1575793 0.5428128 2.9160338
##
## Number of Observations: 48
## Number of Groups: 7