COVID-EC Study: Clinical Characteristics of Patients With COVID-19 in Guayaquil, Ecuador

May 5, 2020 updated by: Jorge Carriel M., Hospital San Carlos, Madrid

Clinical Characteristics of Patients With SARS-CoV-2 (COVID-19) Infection in Guayaquil, Ecuador: COVID-EC Study

In December 2019, an outbreak of pneumonia of initially unknown cause was detected in Wuhan (Hubei, China), and it was quickly determined that it was caused by a new coronavirus, that is, the SARS-CoV- 2 virus, causing the disease called COVID-19. Since then, the outbreak has spread to 5 continents, affecting 185 countries or regions, with more than 2,500,000 confirmed cases as of April 21, 2020. Ecuador, the 9th country according to territorial extension, and the 7th according to the number of inhabitants in South America, is the 4th country with the highest number of cases in that region of the world, only behind Brazil, Peru and Chile. According to data from the Ministry of Public Health (MSP) of Ecuador, as of April 20, 2020, the National Institute for Public Health Research (INSPI) has registered 33,279 samples, of which 10,128 are positive for SARS-CoV-2. By far, the province of Guayas where Guayaquil is located, the main city in terms of number of inhabitants of the country, is the region with the highest number of affected, with 6921 confirmed cases and 6274 with suspicion.

Given the importance of this infection, the severity in some cases, its rapid distribution, and the differences in the Ecuadorian population with respect to the other countries where infected patients have been reported, the investigators consider that an updated analysis of cases, taking as a reference, patients seen in various hospitals of the city of Guayaquil can help identify the clinical characteristics and severity of the disease.

Study Overview

Status

Unknown

Conditions

Detailed Description

Design: Retrospective cohort study that will review the data of patients seen in participating centers with a confirmed or probable diagnosis of COVID-19 between March and April 2020. Those patients who test positive for nasopharyngeal exudate for SARS-CoV-2 will be considered a confirmed case using the real-time reverse transcriptase polymerase chain reaction (RT-PCR) technique. A patient with a severe acute respiratory infection (with fever and who needs to be hospitalized), and without another etiology that fully explains the clinical manifestations, and who has traveled to or resided in China in the 14 days prior to the onset of symptoms, or a patient with any acute respiratory illness and in whom at least one of the following conditions is met in the last 14 days prior to the onset of symptoms: having contact with a confirmed or probable case of infection with the COVID-19 virus, or having worked or been in a health care facility where patients with confirmed or probable infection with the COVID-19 virus were being treated, according to WHO criteria. Cases with nasopharyngeal exudate for SARS-CoV-2 negative are excluded from the study.

Ambit: Emergency, hospitalization and intensive care services at participating centers.

Subjects to study: Patients older than 18 years with a confirmed or suspected diagnosis of COVID-19 that required admission at participating centers.

Study variables:

  • Demographic variables: Age, Sex, Personal history (hypertension, diabetes, previous cardiovascular disease, previous chronic lung disease, active smoking, obesity, etc.).
  • Clinical variables: previous contact with a confirmed or suspected COVID-19 patient, days of onset of symptoms until the first consultation, symptoms (fever, asthenia / deterioration of general condition, cough, dyspnea, anosmia, ageusia, diarrhea, nausea, headache), signs present in the first recorded physical examination (blood pressure, saturation, temperature, heart rate, respiratory rate, auscultation, edema, weight and height).
  • Laboratory variables: blood count, C-reactive protein (PCR), procalcitonin (PCT), lactate dehydrogenase (LDH), D-dimer, Ferritin, AST, ALT, GGT, Alkaline phosphatase, coagulation times, creatinine, urea, sodium, potassium . Arterial blood gas when available.
  • Radiological variables: findings on plain radiography and chest computed tomography (CT).
  • Microbiological variables: nasopharyngeal exudate for SARS-CoV-2, sputum culture, bronchoalveolar lavage, blood cultures, urine culture.
  • Prognostic variables: need for hospitalization, length of hospital stay, need for admission to the Intensive Surveillance Unit (LVU), length of stay at LVU, need for invasive or non-invasive mechanical ventilation (MV), development of respiratory distress syndrome (ARDS), pneumonia, severity of pneumonia (CURB-65), sepsis (qSOFA), renal failure, electrolytic disturbances, stroke, ischemic heart disease, pulmonary embolism (PE) or deep vein thrombosis (DVT) and death.
  • Therapeutic variables: treatment administered (Hydroxychloroquine, Chloroquine, Azithromycin, Lopinavir / Ritonavir, Oseltamivir, Tocilizumab, Corticosteroids, Ivermectin, Nitaxozanide, Enoxaparin or other low molecular weight heparin), dose administered, drug combination, time of administration, (counting the days from the onset of symptoms), registered adverse effects.

Definitions: Fever is defined as axillary temperature greater than 37.5ºC. Lymphopenia is defined as the presence of <1500 cells / mm3. Thrombocytopenia is defined as the presence of <150,000 platelets / mm3. ARDS will be defined according to the Berlin criteria, CID according to the ISTH criteria, Pneumonia will be defined according to SEPAR criteria and its severity will be based on the CURB-65 scale. The rest of the variables that require a definition will be defined according to standard clinical practice.

Statistic analysis: The data will be collected in a Microsoft Excel database, and will be exported to the SPSS statistical package for mathematical analysis. The mean and standard deviation (SD) will be used as measures of centralization and dispersion, respectively, in the case of quantitative variables with normal distribution. In case of variables that do not present normal distribution, the median and the interquartile range (RIQ) will be used. The study of the normality of the distributions will be carried out using the Kolmogorov-Smirnov test. Qualitative variables will be expressed as percentages.

-Inferential: The independent means will be compared using the Student's t test for variables that follow a normal distribution, otherwise the Mann-Whitney U test will be used. The Wilcoxon test will be used for paired data. The association between qualitative variables will be evaluated by means of the Chi square test (χ2) (or Fisher's test, if applicable). In the hypothesis test it will require an error α less than 0.05 to reject the null hypothesis.

Ethical aspects: In the process and development of the present study, patients will not be contacted and only the information collected in the medical records will be accessed. These medical records will be used solely and exclusively for the purposes of the study.

The study presented here will follow the standards of Good Clinical Practice, the principles of the Declaration of Helsinki (Seoul 2013), and the Oviedo Convention (1997). No identifying or clinical data of the patients will be provided and the investigators will work on an anonymized and password protected file that does not allow traceability of the people included in the registry. Likewise, the handling of data will be carried out in accordance with the provisions of the Law on data protection and the Law on the rights and protection of the patient.

Informed consent: The investigators will request exemption from informed consent as it is considered disproportionate measures to call or make appointments for each of the patients or their families, taking into account that this is a retrospective study based on the review of medical records. The database will be anonymized in compliance with current legal regulations.

Study Type

Observational

Enrollment (Anticipated)

300

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Guayas
      • Guayaquil, Guayas, Ecuador
        • GastroMuñoz
        • Contact:
          • Roberto Muñoz, MD
          • Phone Number: 593999605614

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Adult population hospitalized by COVID-19 in public and private hospitals in the city of Guayaquil, Ecuador.

Description

Inclusion Criteria:

  • Patients 18 years or older who required hospitalization.
  • Confirmed diagnosis of COVID-19 by positive nasopharyngeal exudate for SARS-CoV-2.
  • Probable diagnosis of COVID-19, according to WHO criteria.

Exclusion Criteria:

- Patients with negative nasopharyngeal exudate for SARS-CoV-2.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Clinical characteristics of patients with COVID-19
Time Frame: 4 weeks
To know the clinical characteristics of patients with COVID-19 treated in hospitals in Guayaquil, Ecuador.
4 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prognosis of patients, in terms of need for admission to intensive care, use of mechanical ventilation or death
Time Frame: 4 weeks
Establish the prognosis of patients, in terms of need for admission to intensive care, use of mechanical ventilation or death.
4 weeks
Clinical characteristics of the patients with the worst prognosis
Time Frame: 4 weeks
To determine the clinical characteristics of the patients with the worst prognosis.
4 weeks
Relationship between the different treatments and the prognosis
Time Frame: 4 weeks
Relate, at least retrospectively, the relationship that may exist between the different treatments and the prognosis.
4 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: JORGE CARRIEL, Hospital Clínico San Carlos, Madrid

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

May 1, 2020

Primary Completion (Anticipated)

May 1, 2020

Study Completion (Anticipated)

May 1, 2020

Study Registration Dates

First Submitted

April 23, 2020

First Submitted That Met QC Criteria

April 24, 2020

First Posted (Actual)

April 27, 2020

Study Record Updates

Last Update Posted (Actual)

May 7, 2020

Last Update Submitted That Met QC Criteria

May 5, 2020

Last Verified

May 1, 2020

More Information

Terms related to this study

Other Study ID Numbers

  • 001 (NavyGHB)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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