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SONOGRAPHIC ASSESSMENT OF POSTVOID RESIDUAL URINE VOLUMES: ANALYSIS AND RESULTS

The variables L, T, Dt, and Dl were considered in estimating the actual bladder volume. The relationship between the volume and these variables was examined. The scatter plots of volume against each of the variables revealed curvilinear relationships (Figure 2).

Figure 2. Scatter Plots

Figure 2. Scatter Plots of CV Against Dl, L, T and Dt.

Since the relationship is described by a curve, the Spearman correlation coefficient was therefore used as the appropriate test to determine the degree of correlation between the actual residual urine volume and these variables. Dl was found to have the least correlation.
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Figure 3. Scatter Plots

Figure 3. Scatter Plots of CV Against VI, V2 and V3

Inasmuch as a change in urine volume will alter at least one of these variables, we decided to find an average of these parameters, that is, (T+L+Dt)/3 which we referred to as VI, (T+L+Dl)/3 referred to as V2 and (T+L+Dt+Dl)/4 which we referred to as V3. The scatter plots of VI, V2 and V3 against CV are given in Figure 3. The plots indicate a curvature. By Spearman’s rank correlation, VI was found to correlate best with the actual residual volume (CV).
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Figure 4. Showing the Relationship

Figure 4. Showing the Relationship Between True Residual Urine Volume and Various Sonographic Estimates

Linear, quadratic, and cubic models of VI were then fitted to the actual residual volume CV The r2 values show that the quadratic and cubic models perform better than the linear model. Using the cubic model of VI the sonographic estimate of PVR can be obtained as PVRCubic=374.057+ (-196.94+Vl)+(32.5539+Vl2)+(-1.1480+Vl3). canadian antibiotics

Table 1. Results of Paired Samples T-Test Between PVRcubic and Some Other Formulas

Paired Differences

Standard

Standard

95% Confidence Interval of the Difference

Mean

Deviation

Error Mean

Lower

Upper

t

df

Sia. (2-tailed)

cv- —PVRcubic

0.2462

36.8691

5.1128

-10.0183

10.5106

0.048

51

0.962

cv- -SIMPSON

13.5346

59.3724

8.2335

-2.9948

30.0640

1.644

51

0.106

cv- -ORGAZ

-70.2746

86.3233

11.9709

-94.3072

-46.2421

-5.870

51

0.000

cv- -MCLEAN

39.8473

52.7301

7.3124

25.1672

54.5275

5.449

51

0.000

cv- -BRUNN

-8.8282

89.2783

12.3807

-33.6834

16.0270

-0.713

51

0.479

When the estimates of volume from this model (PVRcubic) were compared using paired samples t-test with the estimates by methods proposed by Brunn and RufMcLean and Edell, Orgaz and associates, and Simpson, we obtained the results in Table 1. Mean deviation from actual catheter volume was lowest for PVRcuBic. It also had the lowest standard deviation. The confidence limits are also smallest for the model. There was underestimation by the Orgaz method and overestimation by McLean’s method. erectalis tablets

Table 2. Results of Linear Regression Analysis of the Actual Volume on the Estimates From Various Methods

Constant

SE

P

SE (P)

r

PVRcubic -0.228

9.821

1.002

0.027

0.98

SIMPSON 39.948

10.313

0.873

0.035

0.96

ORGAZ 3.119

12.973

0.748

0.034

0.95

MCLEAN 41.381

10.274

0.992

0.039

0.96

BRUNN 52.642

11.312

0.732

0.032

0.95

PVRCuBic=The sonographic urine volume estimate obtained by our new method
SE=Standard error
(3=Regression coefficient
r=Correlation coefficient
SE (p)=Standard error of regression coefficient

Scatter plots of actual residual volume against these sonographic estimates are shown in Figure 4, and the results of linear regression analysis of the actual volume on the estimates from various methods are given in Table 2. The results show that estimates from PVRcubic performed better than the other methods. The constant for the model is not significantly different from 0, and the regression coefficient (3 is not significantly different from 1. The constant is the closest to zero and the regression coefficient is closest to 1. This implies that the PVRcubic model gives the best estimate to volume. buy viagra uk

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