Research Article |
Corresponding author: José Luis Mantari ( jmantari@utec.edu.pe ) Corresponding author: Angel T. Alvarado ( eaa.alvarado@hotmail.com ) Academic editor: Rumiana Simeonova
© 2024 José Luis Mantari, Diego Bonifacio, Fany Ponce Hinostroza, Roy Panduro, José Oliden, Lizbeth Mónica Cuba, José Luis Salazar, Jenny Tito, Jorge A. García, María R. Bendezú, Ricardo Pariona-Llanos, Priscilia Aguilar-Ramirez, Angel T. Alvarado.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Mantari JL, Bonifacio D, Ponce Hinostroza F, Panduro R, Oliden J, Cuba LM, Salazar JL, Tito J, García JA, Bendezú MR, Pariona-Llanos R, Aguilar-Ramirez P, Alvarado AT (2024) Use of the high-flow helmet CPAP non-invasive ventilation device designed in Peru in patients with severe acute respiratory syndrome (COVID-19): A prospective multicenter study. Pharmacia 71: 1-9. https://doi.org/10.3897/pharmacia.71.e135653
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High-flow non-invasive ventilation (NIV) devices reduce the morbidity and mortality of COVID-19. The objective was to evaluate the use of the non-invasive ventilation device with high-flow helmet CPAP designed in Peru in patients with severe acute respiratory syndrome (COVID-19) hospitalized in the emergency services of five hospitals. Prospective multicenter and cross-sectional observational study from five hospitals from July to August 2020. 19 patients were recruited and divided into two groups (G-1 n = 10; G-2 n = 9) applying clinical and gasometric parameters as indicators of disease evolution upon hospital admission and within 24 hours. A progressive increase in these parameters was observed in those patients who used the NIV CPAP helmet within the first 24 hours. In G-01, improvement was evident in 90% (n = 9/10): PaO2 (range 48–137; average: 82.49 ± 8.07; p-value = 0.008), CO2 (25.2–51.0; 36.62 ± 2.62; p-value p = 0.327), and the PaO2/FiO2 coefficient (87–318; 191.5 ± 18.68). 10% of patients did not progress optimally, being subjected to endotracheal intubation and invasive mechanical ventilation. In G-02 the values were %SatO2 (range 92–98; 96 ± 0.76) and the SaO2/FiO2 coefficient (214–228; 223.2 ± 1.80), indicating significant improvement within 24 hours (p < 0.001). It is concluded that the use of the CPAP helmet non-invasive ventilation (NIV) device contributes to improving gasometric values and clinical condition. Being an alternative to recover typical cases of COVID-19 in all hospitals in Peru.
COVID-19, respiratory failure, CPAP helmet, high-flow ventilation, ventilatory support
Severe acute respiratory syndrome (COVID-19) is an inflammatory process of the pulmonary capillary endothelium, with a decrease in the capillary lumen due to endothelial thickening and angiogenesis in response to severe local tissue hypoxia (
The Spike (S) protein binds to ACE-2, then the transmembrane protease serine 2 (TMPRSS2, which is located near ACE-2) cleaves the spike protein to form the dimeric Spike/ACE-2 complex that enters the cytoplasm (
Angiotensin II levels increase and bind to angiotensin II type 1 receptors (AT1R), coupling to the Gqα/11 protein, this activates phospholipase C (PLC) which cleaves phosphatidylinositol 4,5-bisphosphate (PIP2), generating second messengers inositol 1,4,5-trisphosphate (IP3) and diacylglycerol (DAG), responsible for activating protein kinase C (PKC), which activate myosin light chain kinase (MLCK), and these phosphorylate myosin to couple with actin, generating arteriolar vasoconstriction that leads to the elimination of nitric oxide (NO) derived from the endothelium, generating platelet aggregation, coagulation, microvascular thrombosis in pulmonary and heart vessels (
To improve acute respiratory failure in patients with COVID-19, a non-invasive ventilation (NIV) device is used (
In the context of the COVID-19 pandemic, the use of the NIV device has increased and represents a treatment alternative with a good response in European and American countries, since its use guarantees a lower rate of complications than invasive mechanical ventilation (IMV) (
The SciELO database of Peru, PubMed-NCBI and ScienceDirect were searched for published designs and studies of non-invasive ventilation (NIV) CPAP helmet devices in patients diagnosed with atypical pneumonia and COVID-19 infection in Peru, and it is evidenced that these studies are limited or scarce, in this sense, it is justified to carry out NIV CPAP helmet studies designed by the authors for four reasons: First, to generate scientific evidence of the advantages of using the helmet CPAP device designed by the authors, such as lower risk of gas leaks and therefore lower risk of disease transmission (
Prospective multicenter and cross-sectional observational study.
The study population was patients diagnosed with COVID-19 who presented with acute respiratory failure and who used the non-invasive ventilation (NIV) device called CPAP helmet during their hospitalization and who met the selection criteria. Data were collected from 19 patients (sample) from five hospitals (Guillermo Almenara Irigoyen National Hospital in Lima, Rezola Hospital in Cañete-Lima, Honorio Delgado Hospital in Arequipa, Carlos Seguín Escobedo National Hospital in Arequipa, and Hermilio Valdizán Medrano Regional Hospital in Huánuco); the study period being July to August 2020. The data collection technique was carried out using a collection instrument designed by the researchers and validated by expert judgment.
The selection criteria for follow-up were the coefficient of alveolar partial pressure of O2/inspired fraction of O2 (PaO2/FiO2), percentage of arterial oxygen saturation (%SatO2), and %SatO2/FiO2 coefficient measured at admission and within the first 24 hours of treatment. The FiO2 value of 0.43 was considered as an indicator of good response measured in a laboratory using oxygen concentration equipment, and patients diagnosed with COVID-19 were treated in five hospitals in Peru.
Successful NIV with helmet CPAP is defined as a patient with acute respiratory failure due to COVID-19 who does not require mechanical ventilation and who achieves improvement in gasometric parameters. Failure of NIV with helmet CPAP is defined as the need for mechanical ventilation or no improvement in arterial gasometric parameters or death.
The study was carried out in strict compliance with the ethical standards and criteria of the Belmont Report and the Declaration of Helsinki with the current revision. A code was assigned to each patient document to ensure confidentiality and anonymity.
The data obtained from the collection instrument (cards) were entered as they were collected, structuring a database in an Excel spreadsheet. Once the database was correctly constructed, it was exported to the STATA 14 statistical program, where coding and statistical analysis were carried out. A value of p < 0.05 was considered statistically significant.
Data were collected from 19 patients in five COVID-19 hospitals according to the operational definition and data selection criteria. Hospitalized patients were over 18 years of age, male, with comorbidities such as type 2 diabetes mellitus and obesity in 40% of patients (4/10), who were between day 1 and day 10 of hospitalization (mean: 4 ± 3.19), receiving 90% (9/10) ventilatory support with the reservoir mask and 10% (1/10) with a binasal cannula at 5 L/min (Table
Characteristics | Number/mean | Percentage (%) | Range |
---|---|---|---|
Number of patients (n) | 19 | 100 | |
Age (years) | 57.1 ± 8.21 | 36–75 | |
Male sex | 19 | 100 | |
Female sex | 0 | 0 | |
Comorbidities: | 4 | 21 | |
• DM2 | 2 | 10.5 | |
• Obesity | 2 | 10.5 | |
Hospitalization (days) | 2.57 | 1–10 | |
Pretreatment using: | 10 | 52.6 | |
• Reservoir mask | 9 | 47.3 | |
• Binasal cannula | 1 | 5.3 |
The analysis of clinical and laboratory parameters will be analyzed in two groups, due to the affinity of the variables collected. Group 1 included patients with a diagnosis of atypical pneumonia and COVID-19 infection who used the helmet CPAP non-invasive ventilation device, and arterial gasometric and clinical condition were used as a method of monitoring and evolution of the patients, one being taken at baseline and the other 24 hours after treatment (Table
Gasometric parameters of patients with a CPAP helmet non-invasive ventilation device.
Gasometric parameters | At the beginning of NIV with helmet CPAP | Within 24 hours with CPAP helmet | p-value | Size |
---|---|---|---|---|
% SatO2 | 85.47 ± 3.23 | 90.13 ± 4.78 | 0.374 | 0.296 |
PaO2 | 57.49 ± 4.54 | 82.49 ± 8.07 | 0.008 | 1.080 |
PCO2 | 33.59 ± 1.57 | 36.62 ± 2.62 | 0.327 | 0.328 |
FiO2 | 0.85 | 0.43 | < 0.001 | 3.098 |
PaO2/FiO2 | 76.5 ± 11.04 | 191.5 ± 18.68 |
In this sense, based on the operational definition and the values of the gasometric parameters, the results indicate success of NIV with a CPAP helmet (90%; n = 9/10). Only 10% of patients did not progress optimally, being subjected to endotracheal intubation and invasive mechanical ventilation. No deaths were observed during the follow-up and monitoring of the present study.
The PaO2/FiO2 coefficient indirectly measures lung injury, while the percentage of normal hemoglobin saturation with oxygen (%SatO2) indicates what percentage of the hemoglobin in the blood is loaded with oxygen molecules, which must be higher at 95% breathing room air (FiO2 0.21) at sea level (1 atm or 760 mmHg). With normal pulmonary ventilation (12 breaths/min, moving 500 mL of air in each cycle) and a normal dead space (ventilation not used for exchange), alveolar ventilation greater than 4 L/min is delivered, achieving an alveolar PO2 (PAO2) and arterial (PaO2) of about 100 mmHg (
The comparison of the PaO2/FiO2 coefficient between baseline and follow-up is represented in Fig.
Table
SatO2 percentage parameters of patients with a non-invasive helmet CPAP ventilation device.
Parameters | At the beginning of NIV with helmet CPAP | Within 24 hours with a CPAP helmet | p-value | Size |
---|---|---|---|---|
% SatO2 | 87.66 ± 1.73 | 96 ± 0.76 | 0.001 | 1.611 |
FiO2 | 0.85 | 0.43 | ||
SatO2/FiO2 | 215.66 ± 2.08 | 223.2 ± 1.80 | < 0.001 | 1.699 |
Glasgow Scale | 15 | 15 |
At the first 2 hours of follow-up with the NIV CPAP helmet used as ventilatory support, SatO2 percentage values between 87–96 (mean: 92.6 ± 0.76) were evident, indicating that the degree of desaturation is improving, reaching mild levels, while the %SatO2/FiO2 coefficient was observed in a range of 202 to 223 (mean: 215.6 ± 2.08). In the first 24 hours of using the NIV helmet CPAP as ventilatory support, SatO2 values were observed between 92–98 (mean: 96 ± 0.76) and the SaO2/FiO2 coefficient in a range of 214–228 (mean: 223.2 ± 1.80), indicating significant improvement within 24 hours (p < 0.001).
The comparison of the SatO2 percentage between baseline and follow-up values is seen in Fig.
The results of the present study are consistent with various prospective observational studies that have been previously published, such as the study by
Clinical pharmacists and medical specialists participated in the study process, controlling the blood gas parameters (% SatO2, PaO2, PCO2, FiO2, and PaO2/FiO2). Additionally, the pharmacists provided personalized pharmaceutical care on the ingestion of the medication with 200 mL of water, drug administration interval considering the maximum plasma time (tmax) and the half-life time (t1/2) to avoid interactions, and exercising pharmacovigilance to detect, report, and prevent adverse reactions to medications and vaccines used in COVID-19.
The results of this study must be considered in the context of several limitations. One of them is the number of patients included (n = 19); the results cannot be extrapolated, and the cases must be analyzed individually. The collapse of hospital centers and health personnel cannot cope with personalized monitoring of patients, which is why we do not have clinical parameters that could help support the information. Other biases that can lead to confusion are the inequity of the Peruvian health system, given that many hospitals do not have basic laboratory tests to adequately monitor patients, as was evident in this study since the Hospital de Huánuco does not have AGA available, not allowing adequate monitoring; therefore, the health team decided to monitor the patient with non-invasive methods such as pulse oximeters, which give us approximate values of the patient’s oxygenation. However, this is the first study that evaluates the use of a non-invasive high-flow helmet CPAP ventilation device designed by Peruvian researchers in patients with severe acute respiratory syndrome (COVID-19) in a multicenter prospective study that may be used in other respiratory diseases.
Based on the results, it is concluded that the use of the non-invasive ventilation (NIV) CPAP helmet device contributes to improving the values of PaO2, SatO2, and SaO2/FiO2, which is considered useful and should be an alternative to recover typical cases of COVID-19 in all hospitals in Peru.
Doctors, pharmacists, and other health professionals must take an active role in addressing inequalities in access to medical services; the first step is to supply medical equipment and instruments to provide equal and quality medical care at the four levels of hospital care in Peru (Level I made up of health centers and health posts; Level II made up of local hospitals; Level III made up of regional hospitals; Level IV made up of highly specialized hospitals). At all levels of care, prevention, diagnosis, and timely treatment must be provided in the three geographic regions (coast, Andes, and jungle), without considering socioeconomic conditions, age, sex, ethnicity, and/or religion, which will allow progress towards universal health.
The second step is to promote the implementation of 4P medicine (predictive, preventive, personalized and participatory), that is, the medical consultation should not focus on the symptoms, but rather, through predictive medicine, genes and allelic variants that predict chronic diseases would be identified; through preventive medicine, foods that activate these genes would be avoided; and if medication is required, personalized pharmacological treatment would be initiated based on the metabolic genotype/phenotype (personalized or precision medicine); and with the participation of biochemists, pharmacists, nurses, patient and treating doctor (participatory medicine) adherence to the prevention and treatment of the disease would be achieved (
We thank the researchers from UTEC, UNI, and the company D+Imac Lab SAC, who developed the “CONI” CPAP helmet non-invasive ventilation (NIV) device, and the researchers from the hospitals, San Ignacio de Loyola University, and San Luis Gonzaga National University of Ica for their fine contributions.
Conflict of interest
The authors have declared that no competing interests exist.
Ethical statements
The authors declared that no clinical trials were used in the present study.
The authors declared that no experiments on humans or human tissues were performed for the present study.
The authors declared that no informed consent was obtained from the humans, donors or donors’ representatives participating in the study.
The authors declared that no experiments on animals were performed for the present study.
The authors declared that no commercially available immortalised human and animal cell lines were used in the present study.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Author contributions
Conceptualization, methodology and research: José Luis Mantari, Diego Bonifacio, Fany Ponce Hinostroza, Roy Panduro, José Oliden, Lizbeth Mónica Cuba, José Luis Salazar, Jenny Tito, Jorge A. García, María R. Bendezú, Ricardo Pariona-Llanos, Priscilia AguilarRamirez, Angel T. Alvarado.
Literature analysis, writing of the manuscript-draft: José Luis Mantari, Diego Bonifacio, Fany Ponce Hinostroza, Angel T. Alvarado.
Review, writing and editing of the original manuscript: José Luis Mantari, Roy Panduro, José Oliden, Lizbeth Mónica Cuba, José Luis Salazar, Jenny Tito, Jorge A. García, María R. Bendezú, Ricardo Pariona-Llanos, Priscilia Aguilar-Ramirez.
Final review and approval of the manuscript: José Luis Mantari, Diego Bonifacio, Fany Ponce Hinostroza, Roy Panduro, José Oliden, Lizbeth Mónica Cuba, José Luis Salazar, Jenny Tito, Jorge A. García, María R. Bendezú, Ricardo Pariona-Llanos, Priscilia AguilarRamirez, Angel T. Alvarado.
Author ORCIDs
José Luis Mantari https://orcid.org/0000-0002-3621-3425
Fany Ponce Hinostroza https://orcid.org/0000-0002-0321-7876
Roy Panduro https://orcid.org/0000-0002-3479-4406
José Oliden https://orcid.org/0000-0003-2643-327X
Lizbeth Mónica Cuba https://orcid.org/0000-0001-7897-3054
José Luis Salazar https://orcid.org/0000-0002-0161-0172
Jenny Tito https://orcid.org/0009-0003-3524-7732
Jorge A. García https://orcid.org/0000-0001-9880-7344
María R. Bendezú https://orcid.org/0000-0002-3053-3057
Ricardo Pariona-Llanos https://orcid.org/0000-0001-9836-6526
P. Aguilar-Ramirez https://orcid.org/0000-0002-4830-8720
Angel T. Alvarado https://orcid.org/0000-0001-8694-8924
Data availability
All of the data that support the findings of this study are available in the main text.