Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT06041737 |
Other study ID # |
2023/0023 |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
October 9, 2023 |
Est. completion date |
November 30, 2023 |
Study information
Verified date |
September 2023 |
Source |
Centre Hospitalier Sud Francilien |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The purpose of this study is to map the population of stage 4 and 5 kidney failure patients
followed in consultation by the CHSF nephrology team and to determine the factors associated
with recurrent hospitalizations.
Description:
This observational study on retrospective data does not justify a specific calculation of
numbers. Over the 27-month observation period, have been identified in the department an
active file of approximately 440 stage 4 or 5 chronic kidney failure patients eligible for
the study.
The qualitative variables will be expressed in numbers and corresponding percentages, and
compared by Fisher's exact test. Quantitative variables will be expressed by their mean and
standard deviation or by their median and interquartiles, depending on their distribution.
They will be compared by the Student test in the case of a normal distribution, by the
Wilcoxon test otherwise.
The main outcome criterion, namely the occurrence of hospitalization during the observation
period, will be analyzed using a logistic regression model. The covariates tested in the
model will be :
- Age
- Gender
- Helpers among: Parent, Sibling, Child, Spouse, neighbors, friend, Social care (social
security (SSC), mutual insurance or universal health coverage (CMU)
- Active, disabled, retired
- MRC Stage (4 or 5) in 2020
- Mode of entry into nephrology consultation (after hospitalization in Nephrology,
attending physician, diabetologist, cardiologist, other)
- History and associated comorbidities including high blood pressure, diabetes,
dyslipidemia, vascular pathologies, heart disease, sleep apnea syndrome, obesity, other
chronic pathologies.
- Number of chronic pathologies of the patient
- The pathology(s) retained by the nephrologist as responsible for the kidney disease
(several pathologies can be retained and reported as such)
- Number of treatments on the patient's prescription
- Treatments: hypotensive, antidiabetic, hypolipidemic, diuretic, potassium chelator,
cardiac treatment, antithrombotics, others
- Number of years of follow-up in nephrology at the CHSF before the period studied.
- Status of known patients at the end of follow-up (it can be before 03/31/2022 if the
patient has moved to another status before) among: consultation, dialysis (urgent or
normal), transplant, death, lost to follow-up .
- Did the patient benefit from pre-dialysis information, at what Glomerular Filtration
Rate (GFR) and what was his choice (peritoneal dialysis, hemodialysis or conservative
treatment)
- Did the patient benefit from an arteriovenous fistula, at what GFR
- Did the patient benefit from a pre-transplant assessment
- The number of consultations by a nephrologist, in consultation or in day hospital.
- The number of consultations canceled by the patient.
- The number of consultations not honored by the patient.
- Le nombre de consultations sans bilan récent.
- The GFR at the consultation
- Unscheduled hospitalizations at the CHSF during follow-up, whether in nephrology or in
another hospital department.
- The reason(s) for unscheduled hospitalizations related to renal pathology (cardiac
decompensation, anemia, sodium and water overdose, acute lung edema (APO), high blood
pressure (hypertension), emergency dialysis starts, renal failure acute (ARI), and ionic
disorders,)
- The number of days for each hospitalization. The log-linearity of the quantitative
variables will be evaluated by graphical method. In the event of non-log-linearity, the
variable will be discretized according to its median or according to the inflection
points of the curve. Covariates whose unadjusted Odds Ratio has a p value less than 0.20
will be retained in the multivariate model. All second-order interactions will be
tested. Multicollinearity phenomena will be evaluated by measuring variance inflation
factors, with a positivity threshold set at 2.5. A variable selection using a descending
step-by-step method minimizing the Akaiké criterion will then be carried out. The area
under the ROC curve of the final model as well as the p value of the Hosmer-Lemeshow
test will be specified.
In secondary analyses, patients who were not hospitalized during the observation period will
be compared to those who had 1 to 3 hospitalizations and to those who had 4 or more
hospitalizations. Qualitative variables will be analyzed using Fisher's exact test. The
quantitative variables will be compared by analysis of variance if its conditions of
application are met, by the Kruskal-Wallis test otherwise. In the event of significance,
comparisons 2 by 2 will be carried out, respectively by the Student test or the Wilcoxon
test, with adjustment of the value of p by the Bonferroni-Holm correction in order to take
account of the multiple comparisons.
All the tests will be carried out bilaterally, with a 1st type risk set at 5%. The analysis
will be performed using R software (version 4.3.1 © 2023 The R Foundation for Statistical
Computing).
Management of missing data:
no plan to replace missing data for this observational data study, the design of which in any
case makes the presence of missing data in numbers unlikely, particularly concerning the main
criterion.