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CLASSIF1 Patient Classification:
PROLOGUE
Trial (Sitagliptin versus Diet/Training)
|
Summary: The analyis of the PROLOGUE clinical trial data (157 parameters, 463 patients, 47 hospitals) for the Diet/Training and Sitagliptin (50-100mg/d) therapies at 0, 12, 24 months by the CLASSIF1 percentile classifier showed similarities for both therapies. The algorithm searches unsupervised for hidden data patterns to identify individual patients. In particular, no perceptible changes in the 42 paraneter pattern of the arterial intima/media thickness (IMT) measurements were detected, indicating no apparent progress of atherosclerosis during the observation period of 2 years for both therapies.
1. Introduction:
The intima/media thickness (IMT)
in the Diabetes mellitus type 2 patients
of the PROLOGUE
(
1)
multicenter PROBE (prospective, randomized, open label, blinded
endpoint) design clinical trial, comprising 463 patients in 47 participating
hospitals did not increase within the 2 years (0, 12, 24 months) of the
Diet/Muscular Training or Sitagliptin (50-100mg/d) therapy.
After earlier statistical data reanalyis
(
2)
the purpose of this study concerned individual patient classiication
by the CLASSIF1 percentile classifier
(3,
4).
2. Material and Methods:
The downloaded experimental
data
(157 data columns:
allocation,
IMT,
other data 1/3,
2/3,
3/3)
were analyzed by the
CLASSIF1 percentile classifier in
search for differences between both therapies at the
individual patient level.
3. Results and Discussion:
The classification accuracy for sensitivity and specifcicity was
limited (<90%)
(tab.1)
with sensed differences preferentially at the
0 months
time point of the matched patient groups.
Prior to the training phase every 5th patient record was assigned to the
embedded unknown validation set until database record nr.300,
supplemented by the remaining patient records 301-463 as additional unknown
validation patients.
This results in
239
training set and
224 validation set patients.
No high accuracy (>90% correct) resolution between the Diet/Training
and the Sitagliptin therapies was obtained during training
(tab.1 left) and similarly during
validation
(tab.1 right)
with significant numbers of
double classifications
(ntsd=38,
nvsd=43,
see ---> patients 1,2,6,9,42..,, and 8,57,113,120...)
occuring in case of closely related patient groups.
Some patient records were unclassifiable due to unavailable experimental
values
(ntsu=11,
nvsu=8)
in the classification masks.
|
perc (%) | trainp (sp/se) | spect (%) | senst (%) | npvt (%) | ppvt (%) | validp (sp/se) | specv (%) | sensv (%) | npvv (%) | ppvv (%) |
30/70 | 87/103 | 78.2 | 46.6 | 55.2 | 71.6 | 83/90 | 67.5 | 32.2 | 47.9 | 51.8 |
|
|
|
|
time (m) | patient numb. |
HbA1c (%) |
SD (%) |
CV (%) |
patient numb. |
HbA1c (%) |
SD (%) |
CV (%) |
0 | 144 | 6.93 | 0.51 | 7.4 | 124 | 6.90 | 0.51 | 7.39 |
12 | 124 | 6.64 | 0.71 | 10.7 | 125 | 6.47 | 0.45 | 7.00 |
24 | 98 | 6.67 | 0.70 | 10.5 | 115 | 6.53 | 0.52 | 7.96 |
|
|
|
|
time (m) |
patient numb. |
HbA1c (%) |
SD (%) |
CV (%) |
patient numb. |
HbA1c (%) |
SD (%) |
CV (%) |
0 | 38 | 7.45 | 0.44 | 5.91 | 43 | 7.43 | 0.40 | 5.38 |
6.5 | 35 | 6.56 | 1.26 | 19.21 | 38 | 6.72 | 0.49 | 7.29 |
4. Conclusion:
Both therapies Diet/Training and Sitagliptin
decrease HbA1c blood levels to a similae extent without
favoring atherosclerosis as determined by multiparameter IMT measurements
(n=42)
and CLASSIF1 data pattern classification
(tab.2).
5. References:
1.
Oyama J-i, Murohara T, Kitakaze M, Ishizu, Sato Y, Kitagawa K, et al.
The Effect of Sitagliptin on Carotid Artery Atherosclerosis in Type 2
Diabetes: The PROLOGUE Randomized Controlled Trial.
PLoS Med (2016) 13(6): e1002051. doi:10.1371/journal.pmed.1002051
Data: https://datadryad.org/stash/dataset/doi:10.5061/dryad.qt743
2.
Berchialla1 P, Lanera C, Sciannameo V, Gregori D, Baldi T.
Prediction of treatment outcome in clinical trials under a personalized medicine
perspective.
Scient Rep (2022) 12:4115 | https://doi.org/10.1038/s41598-022-07801-4
3.
Valet.G
Human cytome project: A new potential for drug discovery.
In: Las Omicas genomica, proteomica, citomica y metabolomica:
modernas tecnologias para desarrollo de farmacos.
Ed: Real Academia Nacional de Farmacia, Madrid (2005) p 207-228
4.
Valet G, Valet M, Tschöpe D, Gabriel H, Rothe G,
Kellermann W, Kahle H.
White cell and thrombocyte disorders: Standardized, self-learning
flow cytometric list mode data classification with the CLASSIF1
program system.
Ann NY Acad Sci (1993) 677: 233-251
5.
Nomoto1 H, Miyoshi H, Furumoto T et al
A Randomized Controlled Trial Comparing
the Effects of Sitagliptin and Glimepiride on
Endothelial Function and Metabolic
Parameters: Sapporo Athero-Incretin Study 1
(SAIS1).
PLoS ONE (2016) 11(10): e0164255. doi:10.1371/journal.pone.0164255
Data 0 weeks: https://doi.org/10.1371/journal.pone.0164255.s004
Data 26 weeks: https://doi.org/10.1371/journal.pone.0164255.s005
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