Skip to content

Annals of Clinical and Analytical Medicine

E-ISSN: 2667-663X · Monthly · English

Impacts of respiratory support methods on the prognosis of covid-19 patients treated in the intensive care unit

Prognosis of severe COVID-19 patients in the ICU

Abstract

AimThe goal of this study was to investigate the impacts of respiratory support methods and duration of intubation on the prognosis in COVID-19 patients treated in a tertiary care center’s intensive care unit (ICU).MethodsThe data was gathered from the medical files of 106 adult COVID-19 patients treated in the ICU of our tertiary care center for this retrospective analysis.ResultsThe average age was 65.4 ± 14.9 years (24 to 93), and the rate of mortality was 64.1% (68 /106) in our series. The duration of ICU stay was 16.9 ± 11.41 days (range: 1 to 60). The respiratory support methods used included continuous positive airway pressure (CPAP) (n = 42, 39,6%), high flow nasal oxygen HF (n = 28, 26.24%), urgent intubation (n = 26, 24.5%), nasal oxygen support (n = 6, 5,6%), and both CPAP and high flow nasal oxygen (n = 4, 3,7%), respectively. No significant relationship was detected between prognostic outcome and duration of intubation (p=0.349), and duration of ICU stay (p=0.272).ConclusionCritically ill patients with COVID-19 pneumonia have a high fatality rate. A well-established ICU and awareness of the implications of clinical data can maintain clinical standards and continue evidence-based practices that keep fatality rates low.

Keywords

covid-19treatmentprognosis

Introduction

Around the world, the COVID-19 epidemic continues to be a major public health problem. Although the scientific understanding of COVID-19 is expanding by the day, there is a paucity of data on the characteristics and outcomes of patients who require ICU admission.1 Several studies have found that certain factors may be linked to an increased risk of hospitalization and fatality in COVID_19 patients. Advanced age (>60 years), obesity (BMI > 30 kg/m2), diabetes, hypertension, cardiovascular disease, a history of smoking, and chronic obstructive pulmonary disease (COPD) are just a few of them.2-3
At a high cost, the COVID-19 epidemic has taught us many significant medical, social, political, economic, and humane lessons. With a limited understanding of the virus, its transmission, community spread, and medical therapy of the disease at the time, our worldwide community’s response was reactive and cautious. Non-peer-reviewed publications, case reports, and case series with insufficient and non-standardized data resulted in techniques and clinical management that were not scientifically sound, thus exposing patients to potentially nonbeneficial or even hazardous treatment strategies.4-5
Application of sound scientific evidence-based management principles distilled from decades of research in the past, with some adjustments in practices specific to COVID-19, mitigation strategies, and the careful application of disaster management principles in times of surge has resulted in better and superior outcomes. This is supported by the fact that, while outcomes have varied significantly amongst centers, they have generally improved over time, particularly when healthcare delivery systems are not overburdened.6-7-8
Our expertise and comprehension of the virus, as well as the disease’s therapy, are still evolving. We attempt to outline the progress made in a succinct yet thorough manner, as well as our predictions for future paths. The current study aimed to investigate the implications and correlation between prognostic outcomes and demographic, clinical, and laboratory features in critically ill COVID-19 patients admitted to ICU.

Materials and Methods

This study was conducted utilizing data acquired from an electronic hospital database of a tertiary care facility. This study comprised a total of 106 adult COVID-19 patients (aged 24 or older) who were diagnosed with COVID-19 and admitted to the hospital’s ICUs.
In addition to specific computed thoracic tomography findings, reverse transcriptase-polymerase chain reaction (RT-PCR) was used in all patients to confirm the diagnosis of COVID-19 disease.
Patients were admitted to our ICU if they met WHO criteria for severe pneumonia, which included a fever or suspected respiratory infection, as well as one of the following: a respiratory rate >30 breaths per minute, severe respiratory distress, or oxygen saturation of less than 90% on room air.9 The researchers used evidence-based guidelines for acute respiratory distress syndrome (ARDS) and evolving consensus statements for COVID critical care management.10-11-12 Based on procedures from small case series that have indicated short-term physiological increases in oxygenation, non-intubated oxygen-dependent patients were requested to adopt prone positioning (PP) for as long as tolerated.13-14-15
Chronic comorbidities were chosen based on previously reported data utilizing pre-existing International Classification of Diseases classifications (ICD-10). Among the conditions were cardiovascular disease, lung disease, hypertension, diabetes, renal disease, liver disease, and a history of a solid malignant tumor. Our hospital was designated as a pandemic institution by the Turkish Ministry of Health ( Sahra Hospital Affiliated with Dr Sadi Konuk Training and Research Hospital).
In this study, only COVID-19 patients who required an ICU stay were looked at. The study did not include patients under the age of 18, and pregnant women. The study followed the principles of Good Clinical Practice outlined in the Declaration of Helsinki. On admission and discharge, data on baseline demographic factors, comorbidities, interventions delivered, and hospital outcomes were collected. Patients were treated per local medical standards. All of the patients had either been discharged alive from the ICU or had died by the time the data was processed and the study conclusions were published.
Statistical analysis
Data were analyzed using Statistical Package for Social Sciences program version 21.0 (SPSS Inc., Chicago, IL, USA). Continuous variables were expressed as means (standard deviations) and categorical variables were demonstrated as frequencies and percentages. Missing data were not imputed. Independent Samples and Kruskal-Wallis tests were used to compare variables between groups.Outcome ParametersAge, BMI (kg/m2), comorbidities, smoking habits, vaccination history, prognostic outcomes, duration of ICU stay, and respiratory supportive methods were all collected from the hospital database.Ethical ApprovalThis study was approved by the Ethics Committee of Clinical Research (Date: 27.10.2020, Decision No: 278)

Results

In this study, we enrolled 106 patients treated in ICU who tested positive or negative for COVID-19. Baseline demographics, patient comorbidities and respiratory support methods interventions are summarized in Table 1. The average age was 65.4 ± 14.9 years (24 to 93), and the average BMI was 30.1 ± 6.6 kg/m2 (17.6 to 57.5). In this series, 74 patients (69.8%) had comorbidities while 32 cases (30.2%) did not have any systemic diseases. Smokers constituted 15% of the COVID-19 patient population (n = 16) in ICU. 36 cases (33.9%) had received at least one dose of the COVID-19 vaccine. The respiratory support methods used included continuous positive airway pressure (CPAP) (n = 42, 39.6%), high flow nasal oxygen (n = 28, 26.24%), urgent intubation (n = 26, 24.5%), nasal oxygen support (n = 6, 5.6%), both CPAP and high flow nasal oxygen (n = 4, 3.7%), respectively.
Table 2 presents blood gas and monitor values at admission to the intensive care unit, duration of ICU stay, duration of ICU stay and mortality rate. The rate of mortality was 64.1% (68/106) in our series. The duration of ICU stay was 16.9±11.41 days (range: 1 to 60). No significant relationship was detected between prognostic outcome and duration of intubation (p=0.349), and duration of ICU stay (p=0.272). Table 3 shows no statistically significant difference was found in the average ICU hospitalization days of patients with or without comorbidities, smokers or non-smokers, vaccinated or non-vaccinated, positive or not detected in any PCR result, pathology detected in tomography or not.

Discussion

We aimed to compare the duration of intubation, duration of ICU stay and respiratory parameters in severe COVID-19 patients treated in the ICU with different prognostic outcomes. We noted that the duration of ICU stay was not affected remarkably by the respiratory supportive method.
COVID-19 pneumonia has a wide clinical spectrum, ranging from mild to life-threatening. Patients with COVID-19 pneumonia have only had their broad epidemiological results, clinical presentation, and clinical outcomes documented in previous investigations.16 However, there is still a lack of information about critically ill patients. Data on the clinical features and outcomes of critically sick individuals infected with COVID-19 are sparse, yet they are crucial for lowering mortality.
Because there is currently no specialist medicine to treat COVID-19 infection, supportive care has remained the mainstay of treatment. Patients were being treated in isolation, and their immediate family and acquaintances were being quarantined. Individuals who are critically ill, on the other hand, require aggressive therapy and close monitoring. The patient numbers in three prior critically ill patient studies were insufficient to summarize the characteristics and mortality of these COVID-19 pneumonia patients.2,17-18
Severe ARDS is the basic pathophysiology of severe viral pneumonia. Men and people older than 65 years of age are more likely to acquire ARDS. As a result, it’s plausible to assume that the death rate of severe COVID-19 pneumonia at 28 days is similar to that of severe ARDS, which is around 50%.19
Critically sick patients with COVID-19 pneumonia have a significant fatality rate. Non-survivors are expected to live for 1–2 weeks after being admitted to the ICU. Patients over 65 years old with comorbidities and ARDS have a higher chance of death. The severity of COVID-19 pneumonia puts a strain on hospital critical care services, particularly if they are understaffed or under-resourced.16
In our series, the ICU mortality rate was 64.1%. This contrasts with ICU fatality rates reported in major case series from several countries varying from 30.9% to 49%.20 The disparities in ICU outcomes could be due to a variety of factors. To begin with, many patients remain in the ICU at the time of reporting — 58% of patients in the Lombardy cohort21 and 56.1% of patients in the New York case series.22 Attempts to measure mortality early in the pandemic based on a limited set of patients with completed outcomes and a short follow-up period may skew statistical interpretation in favor of greater fatality rates.
In a more recent systematic evaluation of 15 trials, the pooled ICU mortality rate was found to be 25.7%, which is comparable to the normal ARDS mortality rate of 35–45%.23
Second, when compared to data from several major case series, our patients exhibited a decreased risk profile for severe disease. This could be due to discrepancies in ICU admission requirements. For ICU admission, we used the WHO criteria for severe pneumonia, although ICUs in overburdened healthcare systems may have used more strict admission criteria as part of rationing.24
Graselli et al. found that older age, male sex, a high fraction of inspired oxygen, high positive end-expiratory pressure, or low PaO2:FiO2 ratio on ICU admission and a history of chronic obstructive pulmonary disease, hypercholesterolemia, and type 2 diabetes mellitus were all independent risk factors for mortality.21
Having enough ICU staff was also crucial in ensuring that all patients got standard ICU care in accordance with ARDS and COVID-19 evidence-based guidelines. Prone positioning, a time-consuming procedure, was also performed on more than half of the ICU patients, which could not have been done due to a lack of ICU personnel.24

Conclusion

Our study demonstrated the relationship between clinical and therapeutic characteristics and prognostic outcomes of COVID-19 patients admitted to an ICU in a tertiary care center. Even if powerful antiviral medicines are not yet widely available, low ICU mortality rates can be attained with good access to the ICU, early intubation, lung-protective ventilatory methods, and good general supportive care in the ICU. Severe COVID-19, on the other hand, has a high morbidity rate and can quickly deplete ICU resources in a pandemic. A well-established ICU and awareness of the implications of clinical data can maintain clinical standards and continue evidence-based practices without resorting to resource rationing, keeping fatality rates low.

References

  1. Nitesh J, Kashyap R, Surani SR. What we learned in the past year in managing our COVID-19 patients in intensive care units? World J Crit Care Med. 2021;10(4):81-101. doi:10.5492/wjccm.v10.i4.81
  2. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. doi:10.1016/s0140-6736(20)30183-5
  3. Pouwels S, Ramnarain D, Aupers E, Rutjes-Weurding L, van Oers J. Obesity may not be associated with 28-day mortality, duration of invasive mechanical ventilation and length of intensive care unit and hospital stay in critically ill patients with severe acute respiratory syndrome coronavirus-2: a retrospective cohort study. Medicina (Kaunas). 2021;57(7):674. doi:10.3390/medicina57070674
  4. Walkey AJ, Kumar VK, Harhay MO, et al. The viral infection and respiratory illness universal study (VIRUS): an international registry of coronavirus 2019-related critical illness. Crit Care Explor. 2020;2(4). doi:10.1097/cce.0000000000000113
  5. Walkey AJ, Sheldrick RC, Kashyap R, et al. Guiding principles for the conduct of observational critical care research for coronavirus disease 2019 pandemics and beyond: the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study Registry. Crit Care Med. 2020;48(11). doi:10.1097/ccm.0000000000004572
  6. Domecq JP, Lal A, Sheldrick RC, et al. Outcomes of patients with coronavirus disease 2019 receiving organ support therapies: the International Viral Infection and Respiratory Illness Universal Study Registry. Crit Care Med. 2021;49(3):437-448. doi:10.1097/ccm.0000000000004879
  7. Anesi GL, Jablonski J, Harhay MO, et al. Characteristics, outcomes, and trends of patients with COVID-19-related critical illness at a learning health system in the United States. Ann Intern Med. 2021;174(5):613-621. doi:10.7326/m20-5327
  8. Bravata DM, Perkins AJ, Myers LJ, et al. Association of intensive care unit patient load and demand with mortality rates in US Department of Veterans Affairs hospitals during the COVID-19 pandemic. JAMA Netw Open. 2021;4(1). doi:10.1001/jamanetworkopen.2020.34266
  9. Yao Q, Wang P, Wang X, et al. A retrospective study of risk factors for severe acute respiratory syndrome coronavirus 2 infections in hospitalized adult patients. Pol Arch Intern Med. 2020;130(5):390-399. doi:10.20452/pamw.15312
  10. Fan E, Del Sorbo L, Goligher EC, 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. Am J Respir Crit Care Med. 2017;195(9):1253-1263. doi:10.1164/rccm.201703-0548st
  11. Murthy S, Gomersall CD, Fowler RA. Care for critically ill patients with COVID-19. JAMA. 2020;323(15):1499-1500. doi:10.1001/jama.2020.3633
  12. Bouadma L, Lescure FX, Lucet JC, Yazdanpanah Y, Timsit JF. Severe SARS-CoV-2 infections: practical considerations and management strategy for intensivists. Intensive Care Med. 2020;46(4):579-582. doi:10.1007/s00134-020-05967-x
  13. Caputo ND, Strayer RJ, Levitan R. Early self-proning in awake, nonintubated patients in the emergency department: a single ED’s experience during the COVID-19 pandemic. Acad Emerg Med. 2020;27(5):375-378. doi:10.1111/acem.13994
  14. Sztajnbok J, Maselli-Schoueri JH, de Resende Brasil LMC, et al. Prone positioning to improve oxygenation and relieve respiratory symptoms in awake, spontaneously breathing nonintubated patients with COVID-19 pneumonia. Respir Med Case Rep. 2020;30:101096. doi:10.1016/j.rmcr.2020.101096
  15. Elharrar X, Trigui Y, Dols AM, et al. Use of prone positioning in nonintubated patients with COVID-19 and hypoxemic acute respiratory failure. JAMA. 2020;323(22):2336-2338. doi:10.1001/jama.2020.8255
  16. Yang X, Yu Y, Xu J, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020;8(5):475-481. doi:10.1016/s2213-2600(20)30079-5
  17. Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-513. doi:10.1016/s0140-6736(20)30211-7
  18. Wang D, Hu B, Hu C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA. 2020;323(11):1061-1069. doi:10.1001/jama.2020.1585
  19. Bellani G, Laffey JG, Pham T, et al. Epidemiology, patterns of care, and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries. JAMA. 2016;315(8):788-800. doi:10.1001/jama.2016.0291
  20. Auld SC, Caridi-Scheible M, Blum JM, et al. ICU and ventilator mortality among critically ill adults with coronavirus disease 2019. Crit Care Med. 2020;48(9):799-804.
  21. Grasselli G, Zangrillo A, Zanella 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. doi:10.1001/jama.2020.5394
  22. 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. JAMA. 2020;323(20):2052-2059. doi:10.1001/jama.2020.6775
  23. Quah P, Li A, Phua J. Mortality rates of patients with COVID-19 in the intensive care unit: a systematic review of the emerging literature. Crit Care. 2020;24(1):285. doi:10.1186/s13054-020-03006-1
  24. Chew SY, Lee YS, Ghimiray D, Tan CK, Chua GS. Characteristics and outcomes of COVID-19 patients with respiratory failure admitted to a “Pandemic Ready” intensive care unit: lessons from Singapore. Ann Acad Med Singap. 2020;49(7):434-448. doi:10.47102/annals-acadmedsg.2020161

Tables

Table 1. Baseline demographics, patient comorbidities and respiratory support methods

N: 106, BMI: Body Mass Index , PCR: Polymerase Chain Reaction, ICU: Intensive Care Unit, CPAP: Continous Positive Airway Pressure

Table 2. Blood gas and monitorization values at admission to the intensive care unit, duration of ICU stay, duration of intubation, complications and mortality rate

ICU: Intensive Care Unit, DVT: Deep Vein Thrombosis, GIS: Gastrointestinal System,.

Table 3. Blood gas and monitorization values at admission to the intensive care unit, duration of ICU stay, duration of intubation, complications and mortality rate

ICU: Intensive Care Unit, PCR: Polymerase Chain Reaction.

Additional Information

Publisher’s Note
Bayrakol MP remains neutral with regard to jurisdictional and institutional claims.

Rights and Permissions

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). To view a copy of the license, visit https://creativecommons.org/licenses/by-nc/4.0/

About This Article

How to Cite This Article

Nevin Aydın, Umut Karayalçın, Osman Esen. Impacts of respiratory support methods on the prognosis of covid-19 patients treated in the intensive care unit. doi:10.4328/ACAM.22063

Publication History

Received:
03.12.2023
Accepted:
19.03.2024
Published Online:
21.10.2024
Printed:
01.12.2024