eISSN: 1731-2531
ISSN: 1642-5758
Anaesthesiology Intensive Therapy
Current issue Archive Manuscripts accepted About the journal Supplements Editorial board Reviewers Abstracting and indexing Subscription Contact Instructions for authors Publication charge Ethical standards and procedures
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
3/2020
vol. 52
 
Share:
Share:
Letter to the Editor

The impact of the state of Ohio stay-at-home order on non-COVID-19 intensive care unit admissions and outcomes

Francois Abi Fadel
1, 2
,
Mohammed Al-Jaghbeer
1, 2
,
Sany Kumar
3
,
Lori Griffiths
4
,
Xiaofeng Wang
5
,
Xiaozhen Han
5
,
Robert Burton
6

1.
Cleveland Clinic, Respiratory Institute, Cleveland, Ohio, USA
2.
Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
3.
Cleveland Clinic, Fairview Hospital, Cleveland, Ohio, USA
4.
Cleveland Clinic, Quality Data Registries, Cleveland, Ohio, USA
5.
Cleveland Clinic, Quantitative Health Sciences, Cleveland, Ohio, USA
6.
Cleveland Clinic, Business Intelligence, Cleveland, Ohio, USA
Anaesthesiol Intensive Ther 2020; 52, 3: 249–252
Online publish date: 2020/08/25
Article file
- The impact (1).pdf  [0.09 MB]
Get citation
 
PlumX metrics:
 

Dear Editor,

Hospitals reported a decline in emergency room (ER) visits, hospitalisations, and elective procedures during the coronavirus disease 2019 (COVID-19) pandemic [14]. This raised concerns over delays in seeking care [5].

Cleveland Clinic, the largest healthcare system in northeast Ohio with its 10 hospitals witnessed a significant decline in ER visits and intensive care unit (ICU) admissions since the March 16 Ohio school closure order and the March 23 stay-at-home order by the Governor of Ohio. This study reviews non-COVID-19 patient ICU admissions and outcomes during the above social distancing measures.

We analysed the Cleveland Clinic health care system quality data registry for all non-COVID-19 ICU admissions from March 15 to April 30 2020. The Ohio stay-at-home order expired on May 1. This data was compared to the same period last year (2019). We collected demographics, ICU admission sources, hospital and ICU length of stay (LOS), hospital and ICU mortality, admission acute physiology score (APS), acute physiology and chronic health evaluation (APACHE III) score, and admission principal diagnosis to the ICU. Additionally, we collected Department of Health (DOH) in Ohio mortality data excluding COVID-19 for the months of March and April 2020 and compared those to the mortality counts and ratios for the same two months in 2019 for the seven counties in northeast Ohio where the 10 hospitals serve over 2.7 million population [6]. Two-sample t-test or Wilcoxon rank-sum test were used to compare continuous variables; the c2 test was applied to compare categorical variables. The institutional review board at the Cleveland Clinic approved this study and waived patient informed consent.

The number of patients presenting at all 10 hospital ERs from March 15 to April 30 2020 was 39,970, a decrease of 40.5% from 67,217 during the same period last year, with incidence rate ratio (IRR): 0.5946 (95% CI: 0.5873–0.6020). With universal COVID-19 testing for all admissions, ICU admissions for non-COVID-19 cases decreased by 38.1% from 2573 to 1592, IRR: 0.6187 (95% CI: 0.5812–0.6586). During the above same period the total number of ICU admissions of COVID-19-confirmed cases was 274, and the total overall number of hospitalised COVID-19-confirmed patients was 656. Table 1 summarises demographic and characteristic data for 2019 compared to 2020 for non-COVID-19 ICU admissions. Only the principal diagnosis on admission to the ICU was reported. A decrease in patient counts for all admission diagnoses was noted except for cardiogenic shock and the acute respiratory distress syndrome (ARDS). Non COVID-19 ICU admissions had a statistically significant higher APS score and APACHE III score in 2020 compared to 2019 (P < 0.0001 for both). Proportionally more patients were admitted with acute respiratory distress syndrome (P = 0.0041), sepsis (P = 0.0193), cardiogenic shock (P = 0.002), respiratory failure on mechanical ventilation (P < 0.0001), and patients on chronic dialysis (P = 0.0323). On the other hand, there were proportionally fewer chronic obstructive lung disease (COPD) exacerbations (P = 0.0003), chest pain admissions (P = 0.0142), and post-operative surgical patients (P = 0.0004). Despite higher acuity at presentation, there were no statistical differences in ICU or hospital mortality within the Cleveland Clinic healthcare system. Also, no differences in mortality for non-COVID-19 patients at the county level in Northeast Ohio were seen (Table 2).

TABLE 1

Demographics and characteristics of non-COVID-19 patients from March 15 to April 30, 2019 compared to same period in 2020

ParameterYear 2019 (N = 2573)Year 2020 (N = 1592)P value
Age (years)
    Mean (SD)63.8 (17.7)63.5 (17.3)0.4324
    Median65.065.0
Gender
    Female1285 (49.9%)787 (49.9%)0.9659
    Male1288 (50.1%)791 (50.1%)
Race/Ethnicity
    White1606 (62.4%)936 (59.2%)0.2066
    African American876 (34.0%)589 (37.3%)
    Asian Pacific15 (0.6%)9 (0.6%)
    Latinos78 (3.0%)46 (2.9%)
ICU admission Source
    Emergency room1406 (54.6%)833 (52.7%)0.2508
    General medical ward601 (23.3%)364 (23.0%)0.8526
    Skilled nursing facility19 (0.7%)18 (1.1%)0.2433
    Post-surgery149 (5.8%)54 (3.4%)0.0004
    Transfer from another hospital400 (15.5%)311 (19.7%)0.0003
    Readmissions169 (6.6%)85 (5.4%)0.1222
    Invasive Mechanical Ventilation on admission465/2573 (0.18)390/1592 (0.24)<0.001
    Non-invasive ventilation on admission456/2573 (0.18)194/1592 (0.12)< 0.001
    Post-surgery (operative)133 (5.2%)48 (3.0%)0.0011
Hospital Length of Stay (LOS)
    Mean8.7 (11.0)8.1 (8.9)0.0462
    Median5.95.7
ICU LOS
    Mean3.0 (4.5)2.7 (3.4)< 0.0001
    Median1.81.6
APS score
    Mean42.2 (24.3)45.1 (24.7)< 0.0001
    Median36.040.0
APACHE III Score
    Mean56.5 (27.2)59.5 (27.5)< 0.0001
    Median52.055.0
ICU mortality5.9%6.7%0.3219
Hospital mortality7.11%7.98%0.3306
Cirrhosis202 (7.8%)143 (9.1%)0.1714
Acute immunodeficiency syndrome11 (0.4%)4 (0.3%)0.3639
Chronic dialysis on admission215 (8.3%)163 (10.3%)0.0323
Selected diagnosis on admission to the ICU
    ARDS22 (0.9%)29 (1.8%)0.0041
    COPD/airway obstructive disease exacerbation121 (4.7%)40 (2.5%)0.0003
    Pulmonary embolism44 (1.7%)30 (1.9%)0.7424
    Sepsis all sources457 (17.8%)322 (20.4%)0.0193
    Pneumonia all causes187 (7.3%)137 (8.7%)0.1131
    Hypertensive emergency41 (1.6%)39 (2.5%)0.0603
    Cardiac arrest69 (2.7%)59 (3.7%)0.0692
    Arrhythmias77 (3.0%)42 (2.7%)0.5981
    Congestive heart failure exacerbation116 (4.5%)85 (5.4%)0.2296
    Alcohol and/or drug overdose/abuse87 (3.4%)43 (2.7%)0.276
    Diabetic ketoacidosis93 (3.6%)61 (3.9%)0.7429
    Cerebrovascular accident43 (1.7%)25 (1.6%)0.9282
    Seizures42 (1.6%)22 (1.4%)0.6336
    Upper gastrointestinal bleeding29 (1.1%)18 (1.1%)0.99
    Acute kidney injury30 (1.2%)25 (1.6%)0.3161
    Trauma all causes64 (2.5%)38 (2.4%)0.9527
    Cardiogenic shock9 (0.3%)18 (1.1%)0.002
    Asthma exacerbation25 (1.0%)13 (0.8%)0.7498
    Chest pain77 (3.0%)29 (1.8%)0.0142
    Acute pancreatitis13 (0.5%)10 (0.6%)0.7454
    Lower gastrointestinal bleeding11 (0.4%)6 (0.4%)0.99
TABLE 2

Ohio Department of Health mortality data: non-COVID-19 death rates comparison (%) for March and April 2019 vs. the same two months in 2020

CountiesPopulationDeath 2019Death 2020Death rate 2019Death rate 2020P value (two-sided)
Cuyahoga1253783234622950.18710.18300.4626
Geauga939611441480.15330.15750.8605
Lake2300524154090.18040.17780.8616
Lorain3067135465050.17800.16460.2169
Medina1772572542610.14330.14720.7913
Portage1626442342610.14390.16050.2422
Summit541810103810650.19160.19660.5704
Total2766220497749440.17990.17870.7578

During the COVID-19 stay-at-home order in the state of Ohio, ER visits declined by 40.5% and ICU admissions by 38.1%. Sicker admissions of non-COVID-19 patients to the ICU with higher APS and APACHE score were noted. This could be due to the significantly higher proportion of higher acuity admission diagnoses in the 2020 cohort and lower proportion of the lower acuity presentations, with patients who are less sick probably being more reluctant to seek care and to present to the ER. However, the decline across all patient principal diagnoses and admission numbers, along with an increase in the APS and APACHE III score and the increase in the number of patients with ARDS and cardiogenic shock in the 2020 cohort are alarming. This confirms a trend where patients most often reached sicker health status, seeking care later, and avoiding hospitals due to fear of the COVID-19 infection. A Similar decline of 42% was reported by the Centres for Disease Control and Prevention (CDC) in emergency room visits as of June 3, 2020 because of the pandemic [7], a decline of 42% in Veterans Affairs hospitals admissions [4] and 33.7% in hospital admissions for eight other acute care hospitals [9], a decline of 38% to 40% in cardiac catheterisation laboratory ST-segment elevation myocardial infarction (STEMI) activations across the United States and Spain [1, 8], and finally a decline in the use of stroke imaging by 39% [10]. All are consistent with the above 38.1% decline seen in our non-COVID-19 ICU admissions during the pandemic compared to the same period last year.

The limitations of the study are mainly the retrospective nature and the single healthcare system data, which might not be generalisable. Another limitation was the use of the principal diagnosis on admission, which could have overlooked other comorbidities and critical care illnesses that were not reported. In a short-term follow-up and when the data was obtained from the Ohio DOH in June 2020, the ICU, hospital, and county mortalities were not statistically different, as mentioned above. However, the long-term impact of such delays in care remains unknown. Patient education and care planning will be needed especially if a second wave with new stay-at-home orders are to be expected.

ACKNOWLEDGEMENTS

Financial support and sponsorship

none.

Conflicts of interest

none.

REFERENCES

1 

Garcia S, Albaghdadi MS, Meraj PM, et al. Reduction in ST-segment elevation cardiac catheterization laboratory activations in the united states during COVID-19 pandemic. Am Coll Cardiol 2020; 75: S0735-1097(20)34913-5. doi: 10.1016/j.jacc.2020.04.011.

2 

Sheth K. Hospital admissions for strokes appear to have plummeted, a doctor says, a possible sign people are afraid to seek critical help. Washington Post. April 9, 2020. https://www.washingtonpost.com/national/health-science/hospital-admissions-for-strokes-appear-to-have-plummeted-a-doctors-says-a-possible-sign-people-are-afraid-to-seek-critical-help/2020/04/08/2048b886-79ac-11ea-b6ff-597f170df8f8_story.html. opens in new tab (Accessed: 1.06.2020).

3 

Rosenbaum L. The untold toll – the pandemic’s effects on patients without Covid-19. N Engl J Med 2020; 382: 2368-2371.

4 

Baum A, Schwartz MD. Admissions to veterans affairs hospitals for emergency conditions during the COVID-19 pandemic. JAMA 2020. doi: 10.1001/jama.2020.9972.

5 

Pringle J. Children sicker than normal when arriving in Emergency Department: CHEO. https://ottawa.ctvnews.ca/children-sicker-than-normal-when-arriving-in-emergency-department-cheo-1.4905480 (Accessed: 1.06.2020).

6 

Ohio State Department of Health, Data and Statistics Unit. http://publicapps.odh.ohio.gov/EDW/DataBrowser/Browse/Mortality (Accessed: 1.06.2020); https://coronavirus.ohio.gov/wps/portal/gov/covid-19/dashboards/overview (Accessed: 1.06.2020).

7 

Hartnett KP, Kite-Powell A, DeVies J, et at. Impact of the COVID-19 pandemic on emergency department visits – United States, January 1, 2019-May 30, 2020. MMWR Morb Mortal Wkly Rep 2020; 69: 699-704. doi: 10.15585/mmwr.mm6923e1.

8 

Rodríguez-Leor O, Cid-Álvarez B, Ojeda S. Impacto de la pandemia de COVID-19 sobre la actividad asistencial en cardiología ntervencionista en España. REC Interv Cardiol 2020; 2: 82-89.

9 

Oseran A, Nash D, Kim C, Moisuk S, et al. Changes in hospital admissions for urgent conditions during COVID-19 pandemic. Am J Manag Care 2020; 26: 327-328. doi: https://doi.org/10.37765/ajmc.2020.43837

10 

Kansagra AP, Goyal MS, Hamilton S, Albers GW. Collateral effect of Covid-19 on stroke evaluation in the United States. N Engl J Med 2020; 383: 400-401. Doi: 10.1056/NEJMc2014816

This is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
 
Quick links
© 2024 Termedia Sp. z o.o.
Developed by Bentus.