Blood Oxygen Improvement Level Test using Therahaler O2Gold

Blood samples were taken from 7 trialists at the start and various parameters measured- the most important being Oxy-hemoglobin, PO2 and PC02 levels. The trialists were required to breathe continuously through the Therahaler O2Gold device for a 2 hour period and the blood parameters again noted.

They were then instructed to inhale air through the Therahaler O2Gold device, fill their lungs to full capacity, hold their breath for as long as comfortably possible, then exhale.

This procedure to be repeated every 30 min from 6 am to 9pm. (Trialists were assisted by an inbuilt timer) Blood samples were again taken after 14 days and 28 days from the commencement of the tests and blood parameters again noted.

Parameter	Commencement (Before Therahaler)Average Reading	After 2 Hours(continuous use) Average Reading	After 2 Weeks(every 30 Min) Average Reading	After 4 Weeks (Every 30 min) Average Reading
Oxy-hemoglobin	93.69	94	94.3	94.75
PO2	92.99	92.09	101.40	91.17
P C02	39.50	39.8	38.36	39.68
Hemoglobin	15.33	15.61	15.81	15.88

Results:

The objective of the two tests was to investigate TRENDS to gain a better understanding of how O2Golds magnetic field impacts blood physiology. We found the following:

Oxy-hemoglobin:
This showed a steady, incrimental increase from a starting average of 93.69% to 94.75% four weeks later. There can be no doubt that the magnetic field induces a better bonding of the oxygen to the hemoglobin, but the question remains to be answered... after what period of therapy doe the absorbtion level out.

PO2 Levels:
The test reveals a slight drop in PO2 levels over the 4 week period, but the readings are rather erratic and conclusions are difficult to formulate.

PCO2 Levels:
Over the 4 week test the levels remain almost constant, indicating that oxy-hemoglobin levels are not as a result of hyper-ventilation which supports the hypothesis that the magnetic field has induced an improved magnetic attraction between the inhaled oxygen and the hemoglobin.

Hemoglobin concentration G/dl:
Here, rather surprisingly, we found small but steady incremental increases in hemoglobin concentration from 15.33 to 15.83. Normally when the oxy-hemoglobin levels increase the hemoglobin levels decrease. One can only speculate that the magnetic factor also is instrumental in raising both parameters, and in doing so, further increases the body's ability to distribute oxygen to all the tissues.organs in greater quantities.

Conclusion:

O2Gold does improve oxygen levels without significantly disturbing the blood C02 levels, indicating that improvement in oxygen levels are due to the influence of the magnetic induction principle rather than hyperventilation.



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Report on O2Gold Study 

1. a paired t-test was done on the pre/post tests run on 19 Sept for the variables O2Hb, PO2, PCO2, ctHb, CoGb, and MetHb to investigate whether there was an short-term effect on the variables. The results are summarized in Table 1

Table 1 

Variable	t6	P
02HB	0.574	0.5865
PO2	-0.255	0.8069
PCO2	1.348	0.2263
CtHb	0.925	0.3907
COHb	-2.025	0.0893
MetHb	-0.584	0.6036

The variable COHb shows a significant result at a 10% level of significance (t6 = -2.025, P=0.0893).

A repeated measured analysis was then performed on the pre reading taken on 19 September, the reading on 6 October and 20 October to investigate whether there is any change in the means across time. The results are summarised in Table 2.

Table 2

Variable	Wilks'lambda	F2.5	P
02HB	0.3056	5.68	0.0516
PO2	0.7127	1.01	0.4289
PCO2	0.6327	1.45	0.3184
CtHb	0.7182	0.98	0.4372
COHb	0.5768	1.83	0.2527
MetHb	0.5714	1.88	0.2468
CD3	0.1766	11.66	0.0131
CD4	0.0913	24.89	0.0025
CD8	0.6813	1.17	0.3831

From the table it is evident that the CD3 and CD4 counts show a significant difference in means across the 3 time periods at a 5% level of significance.Furthermore the variable O2Hb is almost as significant at the 5% level giving an indication that there is a significant change in the means across time.

Comment on missing data aspect

• Combined all nine variables taken at the various times, across all seven observational units into 1 data set (consisting of 33 recorded variables)
• The Data Augmentation (DA) Algorithm (Tanner & Wong 1987) was then run using PROC MI (SAS Version 8.2), by utilizing starting values obtained from the Expectation-Maximisation (EM) Algorithm (Dempster, Laird & Rubin 1977), once the DA algorithm had converged, five `complete’ data sets were formed by imputing values, via Multiple Imputation, for the missing data values
• PROC GLM was then used on each complete data set, on each different variable, across all time readings, to determine whether there were any significant differences between the means at the different times.  

Dr Glenda Matthews (Ph.D. University of Pretoria)
School of Mathematical and Statistical Sciences
University of Natal
Durban
26/11/2003

References

Dempster, A.P., Laird, N.M. & Rubin, D.B. 1977, `Maximum likelihood from incomplete data via the EM algorithm (with discussion)’. Journal of the Royal Statistical Society B, 39, pp.1-38.

Rubin, D.B. 1987, Multiple imputation for nonresponse in surveys, John Wiley & Sons, New York.

Tanner, M.A. & Wong, W.H. 1987, `The calculation of posterior distributions by data augmentation (with discussion)’, Journal of the American Statistical Association, 82, pp.528-550.

Analysis done by Mrs Fay Hosking and Dr GB Matthews, University of Natal.

Thus it can be seen that all benefits are directly attributable the the almost 5% increase in blood oxygen levels