Continuous and bimonthly publication
ISSN (on-line): 1806-3756

Licença Creative Commons
12540
Views
Back to summary
Open Access Peer-Reviewed
Artigo Original

Implementation of Tele-ICU during the COVID-19 pandemic

Implantação de telemedicina de terapia intensiva durante a pandemia de COVID-19

Bruno Rocha de Macedo1, Marcos Vinicius Fernandes Garcia1, Michelle Louvaes Garcia1, Marcia Volpe1, Mayson Laércio de Araújo Sousa1, Talita Freitas Amaral1, Marco Antônio Gutierrez1, Antonio Pires Barbosa1, Paula Gobi Scudeller1, Pedro Caruso1, Carlos Roberto Ribeiro Carvalho1

DOI: 10.36416/1806-3756/e20200545

ABSTRACT

Objective: To describe the implementation of a Tele-ICU program during the COVID-19 pandemic, as well as to describe and analyze the results of the first four months of operation of the program. Methods: This was a descriptive observational study of the implementation of a Tele-ICU program, followed by a retrospective analysis of clinical data of patients with COVID-19 admitted to ICUs between April and July of 2020. Results: The Tele-ICU program was implemented over a four-week period and proved to be feasible during the pandemic. Participants were trained remotely, and the program had an evidence-based design, the objective being to standardize care for patients with COVID-19. More than 100,000 views were recorded on the free online platforms and the mobile application. During the study period, the cases of 326 patients with COVID-19 were evaluated through the program. The median age was 60 years (IQR, 49-68 years). There was a predominance of males (56%). There was also a high prevalence of hypertension (49.1%) and diabetes mellitus (38.4%). At ICU admission, 83.7% of patients were on invasive mechanical ventilation, with a median PaO2/FiO2 ratio < 150. It was possible to use lung-protective ventilation in 75% of the patients. Overall, in-hospital mortality was 68%, and ICU mortality was 65%. Conclusions: Our Tele-ICU program provided multidisciplinary training to health care professionals and clinical follow-up for hundreds of critically ill patients. This public health care network initiative was unprecedented and proved to be feasible during the COVID-19 pandemic, encouraging the creation of similar projects that combine evidence-based practices, training, and Tele-ICU.

Keywords: Telemedicine; Critical care; Coronavirus infections; Patient care management.

RESUMO

Objetivo: Descrever a implantação de um serviço de telemedicina de UTI durante a pandemia de COVID-19, assim como descrever e analisar os resultados dos primeiros quatro meses de funcionamento do programa. Métodos: Estudo observacional descritivo da implantação de um serviço de telemedicina de UTI seguido de análise retrospectiva dos dados clínicos de pacientes com COVID-19 internados em UTI entre abril e julho de 2020. Resultados: O serviço foi implantado em quatro semanas e mostrou-se viável em meio à pandemia. O treinamento foi desenhado para ser remoto e baseado em evidências, promovendo a padronização do atendimento aos pacientes com COVID-19. Mais de 100.000 visualizações foram registradas nas plataformas on-line de acesso livre e no aplicativo móvel. Durante o período do estudo, os casos de 326 pacientes com COVID-19 foram avaliados no programa. A mediana de idade foi de 60 anos (variação: 49-68 anos). Houve predomínio do sexo masculino (56%) e alta prevalência de hipertensão arterial (49,1%) e diabetes mellitus (38,4%). Na admissão na UTI, 83,7% dos pacientes estavam em ventilação mecânica invasiva, com uma mediana da relação PaO2/FiO2 < 150. Ventilação pulmonar protetora foi possível em 75% dos casos. A mortalidade na UTI foi de 65%, e a mortalidade hospitalar foi de 68%. Conclusões: A telemedicina de UTI forneceu treinamento multidisciplinar aos profissionais de saúde e acompanhamento clínico de centenas de pacientes críticos. A iniciativa na rede pública foi pioneira e mostrou-se viável em meio à pandemia de COVID-19, incentivando a criação de projetos semelhantes que combinem práticas baseadas em evidências, treinamento e telemedicina.

Palavras-chave: Telemedicina; Cuidados críticos; Infecções por coronavírus; Administração dos cuidados ao paciente.

INTRODUCTION 
 
Prior to the current pandemic, the aging of the population and the steady increase in respiratory diseases had already alerted us to the need to mobilize technological resources and meet a growing demand for medical professionals trained in intensive care.(1) COVID-19, caused by the new coronavirus (SARS-CoV-2), was first identified in late 2019,(2,3) and there have since been millions of cases worldwide(4) and thousands of deaths in Brazil, which ranks third among the countries most affected by the pandemic.(5) Respiratory failure results in 10-25% of hospitalized patients requiring invasive mechanical ventilation (IMV).(6) The overall rate of IMV use in ICUs in Brazil has increased, from 22% before the pandemic to 48% at present.(7) The challenge of providing patient care during the pandemic has led to a discussion about the allocation of material and human resources.(6)
 
Through the application of telecommunications technology to health, telemedicine provides remote care. The use of telemedicine is strategic because it enables the exchange of knowledge between teams, as well as the training and education of multidisciplinary teams. Telemedicine also allows the auditing and monitoring of the processes involved in patient care.(8) The application of telemedicine to the care of critically ill patients shortens ICU stays, thereby increasing the availability of beds, and reduces overall in-hospital mortality.(9-12) During the pandemic, telemedicine was put forward as an option for the entire chain of care, from triage(13) to the dissemination of information—to health care teams providing patient care and to the general population.(14) In the state of New York, the epicenter of the pandemic in the United States, an existing telemedicine service was expanded, allowing telemetry of adverse events and facilitating bed management, as well as informing decisions regarding the management of material and human resources.(15) Even specialties not directly related to COVID-19, such as orthopedics, have implemented telemedicine to allow patient treatment during the pandemic.(8) In Brazil, telemedicine was approved by the Brazilian National Ministry of Health in Article 3 of Law no. 13,979, which was enacted on February 6, 2020, on an extraordinary and temporary basis during the pandemic period.
 
Severe cases of COVID-19 progress to ARDS, the treatment of which is based on the adoption of lung-protective ventilation (LPV) strategies.(16,17) Nevertheless, the use of LPV strategies by health care professionals is still limited,(18) possibly because of their lack of knowledge about these strategies, inappropriate training, or lack of confidence in their ability to manage mechanical ventilators.(19-21)
 
The Respiratory ICU of the Instituto do Coração (InCor, Heart Institute) of the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP, University of São Paulo School of Medicine Hospital das Clínicas) serves as a referral center for the treatment of severe respiratory cases and mechanical ventilation to public health care facilities in the state of São Paulo. The ICU team, in partnership with the Secretaria de Estado da Saúde de São Paulo (SES-SP, São Paulo State Department of Health), developed a treatment and training protocol for public ICUs in the state of São Paulo for use during the pandemic. The protocol focuses on interventions that are feasible via telemedicine: care of patients with suspected or confirmed COVID-19 respiratory failure; and training of multidisciplinary ICU teams during the pandemic.
 
The primary objective of the present article was to describe the implementation of a Tele-ICU program during the COVID-19 pandemic. The secondary objective was to describe and analyze the results of the first four months of operation of this new Tele-ICU program.
 
METHODS
 
Study description
 
This study describes the implementation of a Tele-ICU program, followed by a retrospective analysis of the clinical data of patients with COVID-19 admitted to the participating ICUs between April and July of 2020. The study was approved by the HCFMUSP Research Ethics Committee (Protocol no. 4.222.334). The Tele-ICU program was developed with the support and participation of the SES-SP.
 
Description of the treatment protocol
 
Specialists (in pulmonology, infectious diseases, clinical emergencies, and anesthesiology) at the HCFMUSP gathered and, after a review of the literature and consensus meetings, developed a treatment protocol for patients with COVID-19 ARDS and respiratory failure. The protocol was validated by the São Paulo State Coronavirus Contingency Center and was adopted by the SES-SP as the standard of care for the entire public health care network in the state.
 
The treatment protocol (see supplementary material) emphasizes the best practices in intensive care with an emphasis on LPV, suggesting a VT of 6 mL/kg of ideal body weight, monitoring of plateau pressure, monitoring of driving pressure, and use of rescue maneuvers for patients with refractory hypoxemia. The protocol also recommends appropriate hand hygiene and use of personal protective equipment; proper selection of laboratory and imaging tests; use of fluids, antibiotics, and corticosteroids; prophylaxis of thromboembolic events; and weaning from IMV.
 
Implementation of the Tele-ICU program
 
The SES-SP elected the InCor-HCFMUSP Respiratory ICU (Agreement no. 20/2018) as the coordinating center of this Tele-ICU program for public hospitals in the state of São Paulo (SES TeleUTI Agreement no. 1140/2020).
 
The selection of hospitals to be invited to adopt the Tele-ICU program was made by the SES-SP, under the guidance of the São Paulo State Coronavirus Contingency Center, and was based on the incidence of patients with COVID-19 in their catchment area, those at which the incidence was highest being selected. The Tele-ICU program was implemented in two phases. Phase I included 9 hospitals, and phase II included an additional 11 hospitals. The participating hospitals are described in greater detail in Table S1 (supplementary material).
 
The InCor Information Technology Department developed its own platform, designated “iConf”, which uses the main web conferencing resources of a commercial system, although under an open-source license (see supplementary material). On the iConf platform, all Tele-ICU data are stored on a server at InCor and are not shared with or handled by third parties, in compliance with the General Personal Data Protection Law (Law no. 13,853, which was enacted in 2019).
 
At InCor, the Tele-ICU program has a physical space consisting of rooms with two telemedicine stations each; in addition, there is a multidisciplinary room for data analysis and program planning, as well as a room for technical administrative support. At Incor and in the ICUs that participated in the Tele-ICU program, the telemedicine stations were set up with dual high-resolution monitors, a camera, an echo-canceling microphone, and an audio playback device. During the web conferencing sessions between health care professionals, the interaction between the teams was displayed on one of the monitors, whereas test results, materials of educational interest, and even a whiteboard for free writing were displayed on the other monitor (Figure S2, supplementary material).
 
In the last week of March, the final model of care was tested, and the Tele-ICU program began to operate fully on April 1, 2020. Teleconsultations occurred daily at predetermined times. Each telemedicine session between ICUs was planned to last about one hour, approximately 10 min being allocated to discuss each patient. In those discussions, a specialist physician at InCor helped collect clinical data for the purpose of diagnosis, discussed the findings, and recommended treatment in accordance with the protocol. Data were then collected on a form that was structured and designed specifically for this Tele-ICU program, in accordance with the guidelines established by the REDCap Consortium.(22) The form, which was shared by the two ICU teams, ensured confidentiality. The selection of patients for discussion was the prerogative of the ICU team at the hospital where the patient was being treated.
 
Training of health care professionals and dissemination of the treatment protocol
 
The ICU teams selected to receive the Tele-ICU program were provided training by an InCor multidisciplinary team specializing in intensive care. Given the impossibility of face-to-face practical training during the pandemic, strategies were sought for diversifying the dissemination of knowledge, including distance training courses through video classes, tutorials, use of official portals, and adaptation of the protocol to mobile applications.
 
For the purpose of its wider dissemination, the treatment protocol for patients with COVID-19 was made available via free online platforms on the websites of the HCFMUSP Escola de Educação Permanente (EEP, School of Continuing Education; https://incor.eephcfmusp.org.br/course/index.php?categoryid=2) and of the SES-SP (http://eadses.saude.sp.gov.br/). Case discussion sessions were permeated with theoretical concepts, clarification was encouraged, and additional activities could be scheduled by video conference. The total duration of use of the distance education material on the platform was 25 h.
 
As support material for the training sessions and to facilitate patient care, a mobile application was made available for free.(23) The application included ideal body weight calculators for LPV, tutorials on oxygen therapy supplementation and forms of noninvasive mechanical ventilation, tutorials on orotracheal intubation, and a dose calculator for medications for rapid-sequence orotracheal intubation, as well as for dilutions of sedatives, analgesics, neuromuscular blocking agents, and vasoactive drugs.
 
Continuous assessment of the Tele-ICU program
 

The monitoring of the implementation of the Tele-ICU program aimed to improve health care professional performance in providing care. Performance and training indicators were chosen: number of discussions per teleconsultation; number of patients followed; number of canceled teleconsultations; mean number of patient discussions per visit; and number of clinical data forms completed. The analysis was sent to the hospital managers and to the SES-SP. If the result was below the target value, an action plan was agreed upon with the hospital manager and was reassessed in the following weeks. The initial goal was for 70% of teleconsultations to occur on the scheduled day, with a suggested daily average of three cases per teleconsultation. Another goal was to have < 20% of records with missing data that would preclude evaluation. Hospitals were contacted on a weekly basis to adjust these goals.
 
Data collection
 
The following patient clinical data were collected: age; gender; height; actual body weight; BMI; comorbidities(24); pre-ICU admission functional status assessed on the basis of the ability to perform basic activities of daily living(25); admission severity assessed by the Simplified Acute Physiology Score 3 (SAPS 3)  (26); and the use of intensive care therapies, such as vasoactive drugs, IMV, and hemodialysis. In addition, data were collected on length of ICU stay, LPV settings, duration of LPV, length of hospital stay, ICU mortality, and overall in-hospital mortality.
 
Data on training tools were collected up to July 31, 2020, as were data on the number of views on the EEP-HCFMUSP platform, number of health care professionals registered on the SES-SP platform, and number of users who downloaded the mobile application. Discharge from the ICU and hospital discharge were monitored up to August 28, 2020 for all patients admitted up to July 31 of that year.
 
Statistical analysis
 
The Shapiro-Wilk test was used in order to assess the distribution of continuous variables. Because those variables had a nonparametric distribution, they were expressed as median and IQR. Categorical variables were expressed as absolute and relative frequency.
 
This study followed the 2016 Standards for Quality Improvement Reporting Excellence, the goal of which is to improve the quality of studies.(27) All analyses were performed using the R software (R Core Team, 2017).
 
RESULTS
 
Structuring of the Tele-ICU network for the care of patients with COVID-19 began in April of 2020. The cost for installing the equipment was approximately R$10,000 (approximately US$1,850 as per the exchange rate in November of 2020) per participating hospital. The monthly cost of operating the service, including teleconsultations and multidisciplinary training, was R$20,000 per participating hospital (approximately US$3,700).
 
Between April and July of 2020, a total of 105,486 views were recorded on the EEP-HCFMUSP free online platform, and 3,484 distance learning course registrations were made on the SES-SP platform. The mobile application was installed by more than 3,000 users up to July of that year.
 
During the study period, the cases of 454 patients were discussed. Among those patients, the COVID-19 diagnosis was confirmed by RT-PCR in 326 (74%) and was excluded in 113. For the remaining 15 patients, there was insufficient information for analysis. The patient inclusion flow chart is presented in Figure 1.


 
Table 1 shows the demographic, clinical, and biochemical data at ICU admission and on the first day of Tele-ICU discussion, for the 326 COVID-19 patients treated during the study period. Table 1 also shows data on IMV, rescue maneuvers for hypoxemia, and tracheostomy. Of those 326 patients, 273 (83.7%) required IMV. With regard to IMV settings on the first day of Tele-ICU discussion, we found that the median VT per kg of predicted ideal body weight was 6.1 mL/kg (5.6-6.9 mL/kg), the median plateau pressure was 25 cmH2O (21-28 cmH2O), and the median driving pressure was 13 cmH2O (11-15 cmH2O).


 
During the study period, ICU mortality was 65% and overall in-hospital mortality was 68%. ICU mortality decreased from 73.2% in April to 58.7% in July, and overall in-hospital mortality decreased from 73.2% in April to 64.8% in July. Considering only the patients who underwent IMV, we found that ICU mortality and overall in-hospital mortality were 76% and 78%, respectively. ICU mortality decreased from 88% in April to 67% in July, whereas overall in-hospital mortality decreased from 88% in April to 71% in July. The median SAPS 3 was 55 (49-67) in April, 54 (46-65) in May, 53 (47-61) in June, and 53 (45-62) in July.
 
Figure 2 shows the rates of ICU mortality and overall in-hospital mortality over the months evaluated. Figure 3 shows the length of ICU stays and overall hospital stays during the same period.




 
DISCUSSION
 
In March of 2020, a Tele-ICU program was implemented at InCor-HCFMUSP to meet the high demand for specialized resources for treating patients with COVID-19. The provision of training facilitated standardization of care for patients with COVID-19, as did the rapid dissemination of the treatment and LPV protocols to health care professionals. Over the study period, severity at admission, as assessed by the SAPS 3, remained similar, whereas ICU mortality and overall in-hospital mortality decreased, suggesting that, in addition to factors such as increases in scientific information and in clinical experience in the management of COVID-19 during that period, factors related to the provision of training and to Tele-ICU support may have contributed to those decreases. Between April and July, length of ICU stay decreased by 1 day and length of hospital stay decreased by 5 days.
 
The Tele-ICU program found solutions to diversify the method of dissemination of the treatment protocol through video classes, discussion forums on the distance learning platform, classes offered during teleconsultations, and use of the mobile application. These measures may have improved health care professional adherence to the LPV strategy and the observed result, as was suggested in a study showing improved clinical outcomes, increased adoption of good practices, and even cost reduction after educational activities through Tele-ICU.(28)
 
In terms of demographic data, our results are comparable to those of cohort studies of critically ill patients with COVID-19.(29-32) Similar to what has been reported in other studies,(33,34) life support therapies, such as vasoactive drug therapy and renal replacement therapy, both of which are associated with increased overall in-hospital mortality, were widely used in our group of patients. Because the patients treated through our Tele-ICU program should preferably be on IMV, we found a higher rate of IMV use than that reported for ICUs at other public hospitals in Brazil (83.7% vs. 64.3%).(7) The median PaO2/FiO2 ratio for the patients treated through the program was low in general and was lower than that reported in a multicenter study conducted in Italy.(31)
 
The median PaO2/FiO2 ratio in our sample was consistent with moderate to severe ARDS.(35) The mortality rate of ARDS in Brazil ranges from 53% to 60%,(7) and a randomized clinical trial of patients with COVID-19 ARDS reported a 28-day mortality of up to 61.5%,(36) similar to that observed in the present study.
 
It is known that LPV reduces mortality, increases the number of IMV-free days,(17,37) and increases long-term survival.(38) Despite those benefits, it has been demonstrated that up to two thirds of patients do not receive LPV.(18) A study involving 45 ICUs in Brazil reported a 30% rate of ARDS and a higher median VT than that delivered to the patients treated through our Tele-ICU program.(19) Adherence to the LPV protocol(39) was emphasized on a daily basis, and we succeeded in having 75% of the patients in our sample receive protective VT (< 7 mL/kg of ideal body weight), protective plateau pressure, and protective driving pressure.(37,40) These protective settings were maintained during the first 3 days of monitoring (Table S2).
 
According to the database of the Brazilian ICU network, overall in-hospital mortality among COVID-19 patients on IMV in public ICUs was 69.3% up to November of 2020.(7) The sample of COVID-19 patients on IMV whose cases were discussed through our Tele-ICU program suffered from a selection bias on the part of the ICU team at the hospital of origin, who prioritized cases on the basis of severity and complexity. We found that overall in-hospital mortality was highest in the first two months of operation of the program, decreased in the third month, and remained stable in the fourth month.
 
One limitation of the present study is that not all cases of patients with COVID-19 admitted to ICUs were discussed through our Tele-ICU program; that is, we treated a subset of more severe cases selected by the physician at the hospital of origin. The exchange of information during teleconsultations was not always ideal, because patient medical records were sometimes unavailable and the data on the REDCap form could be incomplete. In addition, daily case discussions were sometimes ended because of complications at the hospital of origin or the overwhelming workload of health care professionals.
 
To our knowledge, this is the first Tele-ICU program to combine the provision of training/education with the provision of care in a statewide public health care network during the COVID-19 pandemic in Brazil. The effectiveness of the implementation of our Tele-ICU program is evidenced by the finding that the LPV protocol was actually used for cases of severe respiratory failure. With these data, we hope to encourage the creation of similar projects that combine evidence-based practices, protocols, training, and teleconsultations.
 
ACKNOWLEDGMENTS
 
We would like to thank the Tele-ICU team of InCor-HCFMUSP: Bruna Provenci, Daniela Helena Machado de Freitas, Ellen Pierre de Oliveira, Julia Bamberg Cunha Melo, Juliana Patrícia Pires, Larissa Barbosa Talharo, Marcela Araújo de Castro, Mauro Roberto Tucci, Renato Miranda de Lima, Ricardo Antônio Bonifácio de Moura, Roberta Fittipaldi, Roberta Pontes Lisboa, Sergio Martins Pereira, Thaís Cristina da Silva, and Vânia Quinato Malacize. We would also like to thank InovaInCor and Intel for their partnership.
 
AUTHOR CONTRIBUTIONS
 
BRM, MVFG, MLG, MLAS, TFA, PGS, PC, and CRRC: conception and planning of the study, as well as interpretation of evidence; BRM, MVFG, MLG, MV, MLAS, TFA, MAG, APB, PGS, PC, and CRRC: drafting/revision of preliminary and final versions; and BRM, MVFG, MLG, MV, MLAS, TFA, MAG, APB, PGS, PC, and CRRC: approval of the final version.
 
REFERENCES



  1. Angus DC, Kelley MA, Schmitz RJ, White A, Popovich J Jr; Committee on Manpower for Pulmonary and Critical Care Societies (COMPACCS). Caring for the critically ill patient. Current and projected workforce requirements for care of the critically ill and patients with pulmonary disease: can we meet the requirements of an aging population?. JAMA. 2000;284(21):2762-2770. https://doi.org/10.1001/jama.284.21.2762

  2. Phua J, Weng L, Ling L, Egi M, Lim CM, Divatia JV, et al. Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations [published correction appears in Lancet Respir Med. 2020 May;8(5):e42]. Lancet Respir Med. 2020;8(5):506-517. https://doi.org/10.1016/S2213-2600(20)30161-2

  3. Petrosillo N, Viceconte G, Ergonul O, Ippolito G, Petersen E. COVID-19, SARS and MERS: are they closely related?. Clin Microbiol Infect. 2020;26(6):729-734. https://doi.org/10.1016/j.cmi.2020.03.026

  4. World Health Organization [homepage on the Internet]. Geneva: World Health Organization; c2020 [cited 2020 Sep 25]. Coronavirus Disease (COVID-19) Dashboard. Available from: https://covid19.who.int/

  5. Coronavírus Brasil [homepage on the Internet]. Brasília: Ministério da Saúde;c2020 [cited 2020 Sep 25]. Painel Coronavírus. Available from: https://covid.saude.gov.br/

  6. Riviello ED, Letchford S, Achieng L, Newton MW. Critical care in resource-poor settings: lessons learned and future directions. Crit Care Med. 2011;39(4):860-867. https://doi.org/10.1097/CCM.0b013e318206d6d5

  7. UTIs Basileiras [homepage on the Internet]. São Paulo: Associação de Medicina Intensiva Brasileira; c2020 [cited 2020 Sep 10]. Perfil das UTIs. Available from: http://www.utisbrasileiras.com.br/

  8. Loeb AE, Rao SS, Ficke JR, Morris CD, Riley LH 3rd, Levin AS. Departmental Experience and Lessons Learned With Accelerated Introduction of Telemedicine During the COVID-19 Crisis. J Am Acad Orthop Surg. 2020;28(11):e469-e476. https://doi.org/10.5435/JAAOS-D-20-00380

  9. Barnett ML, Ray KN, Souza J, Mehrotra A. Trends in Telemedicine Use in a Large Commercially Insured Population, 2005-2017. JAMA. 2018;320(20):2147-2149. https://doi.org/10.1001/jama.2018.12354

  10. Kahn JM, Le TQ, Barnato AE, Hravnak M, Kuza CC, Pike F, et al. ICU Telemedicine and Critical Care Mortality: A National Effectiveness Study. Med Care. 2016;54(3):319-325. https://doi.org/10.1097/MLR.0000000000000485

  11. Becker CD, Fusaro MV, Scurlock C. Telemedicine in the ICU: clinical outcomes, economic aspects, and trainee education. Curr Opin Anaesthesiol. 2019;32(2):129-135. https://doi.org/10.1097/ACO.0000000000000704

  12. Lilly CM, McLaughlin JM, Zhao H, Baker SP, Cody S, Irwin RS, et al. A multicenter study of ICU telemedicine reengineering of adult critical care. Chest. 2014;145(3):500-507. https://doi.org/10.1378/chest.13-1973

  13. Hollander JE, Carr BG. Virtually Perfect? Telemedicine for Covid-19. N Engl J Med. 2020;382(18):1679-1681. https://doi.org/10.1056/NEJMp2003539

  14. Song X, Liu X, Wang C. The role of telemedicine during the COVID-19 epidemic in China-experience from Shandong province. Crit Care. 2020;24(1):178. https://doi.org/10.1186/s13054-020-02884-9

  15. Becker CD, Forman L, Gollapudi L, Nevins B, Scurlock C. Rapid Implementation and Adaptation of a Telehospitalist Service to Coordinate and Optimize Care for COVID-19 Patients [published online ahead of print, 2020 Aug 14]. Telemed J E Health. 2020;10.1089/tmj.2020.0232. https://doi.org/10.1089/tmj.2020.0232

  16. Amato MB, Barbas CS, Medeiros DM, Magaldi RB, Schettino GP, Lorenzi-Filho G, et al. Effect of a protective-ventilation strategy on mortality in the acute respiratory distress syndrome. N Engl J Med. 1998;338(6):347-354. https://doi.org/10.1056/NEJM199802053380602

  17. Acute Respiratory Distress Syndrome Network, Brower RG, Matthay MA, Morris A, Schoenfeld D, Thompson BT, et al. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. N Engl J Med. 2000;342(18):1301-1308. https://doi.org/10.1056/NEJM200005043421801

  18. Bellani G, Laffey JG, Pham T, Fan E, Brochard L, Esteban A, et al. Epidemiology, Patterns of Care, and Mortality for Patients With Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries [published correction appears in JAMA. 2016 Jul 19;316(3):350] [published correction appears in JAMA. 2016 Jul 19;316(3):350]. JAMA. 2016;315(8):788-800. https://doi.org/10.1001/jama.2016.0291

  19. Azevedo LC, Park M, Salluh JI, Rea-Neto A, Souza-Dantas VC, Varaschin P, et al. Clinical outcomes of patients requiring ventilatory support in Brazilian intensive care units: a multicenter, prospective, cohort study. Crit Care. 2013;17(2):R63. https://doi.org/10.1186/cc12594

  20. Tallo FS, de Campos Vieira Abib S, de Andrade Negri AJ, Cesar P Filho, Lopes RD, Lopes AC. Evaluation of self-perception of mechanical ventilation knowledge among Brazilian final-year medical students, residents and emergency physicians. Clinics (Sao Paulo). 2017;72(2):65-70. https://doi.org/10.6061/clinics/2017(02)01

  21. Kalhan R, Mikkelsen M, Dedhiya P, Christie J, Gaughan C, Lanken PN, et al. Underuse of lung protective ventilation: analysis of potential factors to explain physician behavior. Crit Care Med. 2006;34(2):300-306. https://doi.org/10.1097/01.CCM.0000198328.83571.4A

  22. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L, et al. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019;95:103208. https://doi.org/10.1016/j.jbi.2019.103208

  23. Nishi PG, Shinzato GT. Atlantes (2020) COVID19VM (version 0.0.9.0) [mobile application software]. Available from: https://play.google.com/store/apps/details?id=com.mycompany.covid19vm

  24. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383. https://doi.org/10.1016/0021-9681(87)90171-8

  25. MAHONEY FI, BARTHEL DW. FUNCTIONAL EVALUATION: THE BARTHEL INDEX. Md State Med J. 1965;14:61-5. PMID: 14258950. https://doi.org/10.1037/t02366-000

  26. Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, et al. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission [published correction appears in Intensive Care Med. 2006 May;32(5):796]. Intensive Care Med. 2005;31(10):1345-1355. https://doi.org/10.1007/s00134-005-2763-5

  27. Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. BMJ Qual Saf. 2016;25(12):986-992. https://doi.org/10.1136/bmjqs-2015-004411

  28. Kovacevic P, Dragic S, Kovacevic T, Momcicevic D, Festic E, Kashyap R, et al. Impact of weekly case-based tele-education on quality of care in a limited resource medical intensive care unit. Crit Care. 2019;23(1):220. https://doi.org/10.1186/s13054-019-2494-6

  29. Richardson S, Hirsch JS, Narasimhan M, Crawford JM, McGinn T, Davidson KW, et al. Richardson S, Hirsch JS, Narasimhan M, et al. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area [published correction appears in JAMA. 2020 May 26;323(20):2098]. JAMA. 2020;323(20):2052-2059. https://doi.org/10.1001/jama.2020.6775

  30. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020;382(18):1708-1720. https://doi.org/10.1056/NEJMoa2002032

  31. Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, et al. Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy. JAMA. 2020;323(16):1574-1581. https://doi.org/10.1001/jama.2020.5394

  32. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study [published correction appears in Lancet. 2020 Mar 28;395(10229):1038] [published correction appears in Lancet. 2020 Mar 28;395(10229):1038]. Lancet. 2020;395(10229):1054-1062. https://doi.org/10.1016/S0140-6736(20)30566-3

  33. Auld SC, Caridi-Scheible M, Blum JM, Robichaux C, Kraft C, Jacob JT, et al. ICU and Ventilator Mortality Among Critically Ill Adults With Coronavirus Disease 2019. Crit Care Med. 2020;48(9):e799-e804. https://doi.org/10.1097/CCM.0000000000004457

  34. Gabarre P, Dumas G, Dupont T, Darmon M, Azoulay E, Zafrani L. Acute kidney injury in critically ill patients with COVID-19. Intensive Care Med. 2020;46(7):1339-1348. https://doi.org/10.1007/s00134-020-06153-9

  35. ARDS Definition Task Force, Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, et al. Acute respiratory distress syndrome: the Berlin Definition. JAMA. 2012;307(23):2526-2533. https://doi.org/10.1001/jama.2012.5669

  36. Tomazini BM, Maia IS, Cavalcanti AB, Berwanger O, Rosa RG, Veiga VC, et al. Effect of Dexamethasone on Days Alive and Ventilator-Free in Patients With Moderate or Severe Acute Respiratory Distress Syndrome and COVID-19: The CoDEX Randomized Clinical Trial. JAMA. 2020;324(13):1307-1316. https://doi.org/10.1001/jama.2020.17021

  37. Fan E, Del Sorbo L, Goligher EC, Hodgson CL, Munshi L, Walkey AJ, et al. An Official American Thoracic Society/European Society of Intensive Care Medicine/Society of Critical Care Medicine Clinical Practice Guideline: Mechanical Ventilation in Adult Patients with Acute Respiratory Distress Syndrome [published correction appears in Am J Respir Crit Care Med. 2017 Jun 1;195(11):1540]. Am J Respir Crit Care Med. 2017;195(9):1253-1263. https://doi.org/10.1164/rccm.201703-0548ST

  38. Needham DM, Colantuoni E, Mendez-Tellez PA, Dinglas VD, Sevransky JE, Dennison Himmelfarb CR, et al. Lung protective mechanical ventilation and two year survival in patients with acute lung injury: prospective cohort study. BMJ. 2012;344:e2124. https://doi.org/10.1136/bmj.e2124

  39. Carvalho CRR, Scudeller PG, Rabello G, Gutierrez MA, Jatene FB. Use of telemedicine to combat the COVID-19 pandemic in Brazil. Clinics (Sao Paulo). 2020;75:e2217. https://doi.org/10.6061/clinics/2020/e2217

  40. Barbas CS, Isola AM, Farias AM, Cavalcanti AB, Gama AM, Duarte AC, et al. Brazilian recommendations of mechanical ventilation 2013. Part I. Rev Bras Ter Intensiva. 2014;26(2):89-121.



Indexes

Development by:

© All rights reserved 2024 - Jornal Brasileiro de Pneumologia