Clinical Trial Details
— Status: Active, not recruiting
Administrative data
| NCT number |
NCT05124587 |
| Other study ID # |
2021.su |
| Secondary ID |
|
| Status |
Active, not recruiting |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
September 1, 2021 |
| Est. completion date |
December 2022 |
Study information
| Verified date |
November 2021 |
| Source |
Academic Centre for Dentistry in Amsterdam |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
The study aims to develop and externally validate a prediction model for the critical
outcomes of COVID-19 patients using predictors which can be easily obtained in clinical
practice, including patients' demographic characteristics, self-reported medical conditions,
and oral health.
Description:
Background The novel coronavirus disease 2019 (COVID-19) pandemic has presented an important
and urgent threat to global health since its outbreak in December 2019. The COVID-19 does not
only affect the respiratory tract, but also other organs in human body including lungs,
liver, kidney, heart, vessels, and other organs (1). Respiratory failure and acute
respiratory distress syndrome (ARDS) are the most common serious complications of COVID-19
infection (2). The crude mortality rates (CMRs) of COVID-19 varies in different locations,
which ranges from 37.0/100,000 to 167.6/100,000 in several European countries up to 30th
August 2020 (3). The in-hospital mortality of COVID-19 was reported to be 17.1% based on 33
studies from 13,398 patients (4), and it was 2.9 times higher than that of influenza based on
the French national administrative database (5). It was reported that 26% of the COVID-19
patients admitted to ICU with severe status and 31% of the patients who admitted to ICU died
based on 37 studies from 24,983 patients (6).
There are several risk factors on patients' demographic characteristics and underlying
medical conditions which were shown be associated with the critical outcomes of COVID-19 (7).
In addition, poor oral health, in particular periodontitis, was also shown to be associated
with the critical outcomes of COVID-19 (8). Marouf et al. showed that COVID-19 patients with
periodontitis had 8 times higher odds of death and 3.5 times higher odds of ICU admission
than those without periodontitis based on a case-control study (9). This may be because
periodontal disease could enhance cytokine release via altered microflora, expression of
multiple viral receptors, bacterial superinfection, and aspiration of periodontal pathogens
(10). The increased production of pro-inflammatory cytokine, which is referred to as cytokine
storm, is the foremost cause of the adverse events of COVID-19 (10).
Because of the high contagiousness, high ICU admission rate, and high mortality of COVID-19,
it has led to tremendous increases in the demand for hospital beds and shortage of medical
equipment. Therefore, there is an urgent need for a pragmatic risk stratification tool that
allows the early identification of the COVID-19 patients who are likely to be at highest risk
of ICU admission and death (11). This can help clinicians and policymakers make the decisions
on the management and optimize resource allocation. A recent review identified multiple
prediction models which have been developed for prediction of prognosis of COVID-19 patients
(12). Those prediction models varied in their predictors and performance of the models. A
large number of prediction models reflected difficulties in their application in the rapid
risk stratification for general COVID-19 patients at their first intake in hospitals because
some predictors cannot be easily obtained without professional devices or lab tests, such as
C reactive protein, peripheral oxygen saturation, and urea level. Many prediction models
showed moderate performance in aspects of discrimination and calibration, and no benefit to
clinical decision making (12). In addition, the dental variables were not considered the
potential predictors in the previously developed models.
Therefore, the aim of the present study is to develop and externally validate a prediction
model for the critical outcomes of COVID-19 patients using predictors which can be easily
obtained in clinical practice, including patients' demographic characteristics, self-reported
medical conditions, and oral health.
Materials and Methods Participants We include hospitalized patients and outpatients from the
Isala Hospital (Zwolle, the Netherlands) with confirmed COVID-19 who visited the Department
of Oral and Maxillofacial Surgery (OMFS) between March 2020 and May 2021, if they have had a
dental panoramic radiograph (OPG), obtained up to a maximum of 5 years until the end of the
current study. The patients are used to develop the prediction model (derivation cohort).
We also include the hospitalized patients and outpatients from Noordwest Ziekenhuis (NWZ)
(Alkmaar, the Netherlands) with confirmed COVID-19 to externally validate the prediction
model (validation cohort).
Potential predictors
The potential predictors include patients' demographic characteristics, self-reported medical
conditions, and oral health. All the potential predictors are collected at baseline. The
potential predictors are presented below:
Demographic characteristics
- Gender
- Age
- BMI
Medical conditions
- Smoking
- Diabetes
- Hypertension
- Hypercholesterolemia
- COPD
- CVD
- Chronic kidney disease
- OSAS
Dental variables (based on OPG)
- Number of teeth
- Number of dental implants
Outcome (endpoint) The endpoint of the study is the presence or absence of the critical
outcomes of COVID-19 (dichotomized). The course and outcome of the COVID-19 is classified
into (1) ambulatory; (2) hospitalized; (3) ICU admission or death based on the WHO Clinical
Progression Scale (13). In the study, the critical outcomes are defined as ICU admission or
death, while the non-critical outcomes are defined that patients are ambulatory or
hospitalized without ICU admission.
Statistical analysis The prediction modes will be developed and externally validated.
References
1. Wang X, Fang X, Cai Z, et al. Comorbid Chronic Diseases and Acute Organ Injuries Are
Strongly Correlated with Disease Severity and Mortality among COVID-19 Patients: A
Systemic Review and Meta-Analysis. Research (Wash D C) 2020; 2402961.
2. SeyedAlinaghi S, Afsahi AM, MohsseniPour M, et al. Late Complications of COVID-19; a
Systematic Review of Current Evidence. Arch Acad Emerg Med 2021; 9: e14.
3. Villani L, McKee M, Cascini F, et al. Comparison of deaths rates for COVID-19 across
Europe during the first wave of the COVID-19 pandemic. Front Public Health 2020; 8:
620416.
4. Macedo A, Gonçalves N, Febra C. COVID-19 fatality rates in hospitalized patients:
systematic review and meta-analysis. Ann Epidemiol 2021; 57: 14-21.
5. Piroth L, Cottenet J, Mariet AS, et al. Comparison of the characteristics, morbidity,
and mortality of COVID-19 and seasonal influenza: a nationwide, population-based
retrospective cohort study. Lancet Respir Med 2021; 9: 251-259.
6. Abate SM, Ali SA, Mantfardo B, et al. Rate of intensive care unit admission and outcomes
among patients with coronavirus: a systematic review and meta-analysis. PLoS One 2020;
15: e0235653.
7. Kim HJ, Hwang H, Hong H, et al. A systematic review and meta-analysis of regional risk
factors for critical outcomes of COVID-19 during early phase of the pandemic. Sci Rep
2021; 11: 9784.
8. Botros N, Iyer P, Ojcius DM. Is there an association between oral health and severity of
COVID-19 complications? Biomed J 2020; 43: 325-327.
9. Marouf N, Cai W, Said KN, et al. Association between periodontitis and severity of
COVID-19 infection: a case-control study. J Clin Periodontol 2021; 48: 483-491.
10. Sukumar K, Tadepalli A. Nexus between COVID-19 and periodontal disease. J Int Med Res
2021; 49: 3000605211002695.
11. Knight SR, Ho A, Pius R, et al. Risk stratification of patients admitted to hospital
with covid-19 using the ISARIC WHO Clinical characterization protocol: development and
validation of the 4C mortality score. BMJ 2020; 370: m3339.
12. Wynants L, Calster BV, Collins GS, et al. Prediction models for diagnosis and prognosis
of covid-19: systematic review and critical appraisal. BMJ 2020; 369: m1328.
13. WHO Working Group on the Clinical Characterisation and Management of COVID-19 infection.
A minimal common outcome measure set for COVID-19 clinical research. Lancet Infect Dis
2020; 20: e192-e197.
