Literature DB >> 35917126

National Estimates of Increase in US Mechanical Ventilator Supply During the COVID-19 Pandemic.

Thomas C Tsai1,2, E John Orav3, Ashish K Jha4, Jose F Figueroa3.   

Abstract

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Mesh:

Year:  2022        PMID: 35917126      PMCID: PMC9346549          DOI: 10.1001/jamanetworkopen.2022.24853

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


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Introduction

Despite the unprecedented demand for mechanical ventilators in the US during the COVID-19 pandemic, the last survey of US hospitals occurred in 2010 and estimated approximately 62 000 full-featured ventilators.[1] To meet the demand for mechanical ventilation, the federal government invoked the Defense Production Act to partner with manufacturers to purchase as many as 200 000 ventilators of varying functionality across production phases for the US Strategic National Stockpile.[2] Many hospitals also purchased additional full-featured ventilators during the pandemic. Therefore, we performed an updated assessment of current ventilators in use at US hospitals to aid with current and future pandemic preparedness and to determine whether any change was correlated with COVID-19 burden.

Methods

In this cross-sectional study, we used new survey data from the 2020 American Hospital Association (AHA) Annual Survey to estimate the increase in mechanical ventilator supply. The ventilator questions were developed in response to the COVID-19 pandemic and were fielded for the first time in 2020. Data from the AHA were merged with US Census data and COVID-19 burden data from the Department of Health and Human Services for 2020 to correspond with the AHA survey year.[3] We assessed whether the increase in adult and pediatric and neonatal mechanical ventilators in US hospitals varied across hospital structural features, region, and safety-net status using a multivariable regression model weighted by likelihood of survey response to create national-level estimates. We then created a map of current adult mechanical ventilators per 100 000 residents using the state-level population estimates from the 2020 US Census.[4] A state-level analysis used Pearson statistics to assess the correlation between increase in ventilators per capita and COVID-19 intensive care unit (ICU) admissions per capita. Analyses were performed with SAS, version 9.4M7 (SAS Institute Inc). Two-sided P < .05 indicated statistical significance. This study was deemed exempt from review by the institutional review board of the Harvard T. H. Chan School of Public Health owing to the use of deidentified hospital-level data. We followed the STROBE reporting guideline.

Results

In total, 2712 of 4609 US adult acute care hospitals responded to the survey (response rate, 58.8%). Responding hospitals were more likely to be large (367 [13.5%] vs 111 [5.9%]; P < .001), major teaching hospitals (207 [7.6%] vs 44 [2.3%]; P < .001), and not for profit (1887 [69.6%] vs 979 [51.6%]; P < .001). Of hospitals providing pediatric care, 1103 of 1397 responded (response rate, 79.0%). The multivariate adjusted relative increase in adult mechanical ventilators during the public health emergency in 2020 was 31.5% (95% CI, 22.4%-41.3%; P < .001) (Table). The statistically significant increase in adult mechanical ventilators during the COVID-19 pandemic did not vary across hospital characteristics (Table). The increase in pediatric and neonatal mechanical ventilators was 15.6% (95% CI, 1.6%-31.5%; P = .03).
Table.

National Estimates of Increase in Adult Mechanical Ventilators in the US by Hospital Characteristics During the COVID-19 Pandemic, 2020

CharacteristicAdult mechanical ventilator survey itemsPediatric and neonatal mechanical ventilator survey items
Responding hospitals, No. (%) (n = 2712)No. of adult mechanical ventilatorsMultivariate adjusted relative increase in ventilators, % (95% CI)P valueResponding hospitals, No. (%) (n = 1103)No. of pediatric and neonatal mechanical ventilatorsMultivariate adjusted relative increase in ventilators, % (95% CI)P value
2019202020192020
AllNA80 455102 67031.5 (22.4 to 41.3)<.001NA16 30322 64115.6 (1.6 to 31.5).03
Size
Small (<100 beds)1313 (48.4)920312 13233.4 (20.7 to 47.4)<.001242 (21.9)45254220.9 (−14.4 to 70.7).28
Medium (100-399 beds)1032 (38.1)35 27846 31931.1 (16.8 to 47.1)<.001545 (49.4)6209701313.2 (−4.4 to 34.1).15
Large (≥400 beds)367 (13.5)35 97344 21822.7 (−3.9 to 56.7).10316 (28.6)964211 10917.9 (−7.4 to 50.2).18
Hospital region
Northeast362 (13.3)15 48521 53035.0 (8.8 to 67.5)<.01173 (15.7)2843365429.6 (−7.5 to 81.8).13
Midwest915 (33.7)17 18721 85926.9 (10.1 to 46.3)<.01315 (28.5)3731419011.8 (−24.3 to 45.8).41
South996 (36.7)31 67638 57833.3 (18.6 to 49.8)<.001401 (36.3)6128681115.0 (−6.3 to 41.2).18
West439 (16.2)16 10720 70332.0 (14.4 to 52.4)<.001214 (19.4)3601400812.2 (−14.4 to 47.0).40
Profit status
For profit319 (11.8)931011 85727.3 (9.1 to 48.7)<.01130 (11.8)1862221915.4 (−14.9 to 56.5).36
Not for profit1887 (69.6)58 19474 30329.5 (17.5 to 42.7)<.001823 (74.6)11 38812 86112.0 (−4.2 to 30.9).15
Public502 (18.5)12 82116 26341.3 (20.8 to 65.2)<.001150 (13.6)3030355936.2 (−3.9 to 93.1).08
Teaching status
Major207 (7.6)20 58726 30726.6 (88.3 to 81.5).20170 (15.4)5988692415.0 (−19.3 to 63.9).44
Minor901 (33.2)36 68046 34931.1 (14.9 to 49.7)<.001521 (47.2)7878878515.2 (−4.0 to 38.1).13
Nonteaching1604 (59.1)23 18730 01432.0 (20.8 to 44.2)<.001412 (37.3)2437295416.4 (−5.9 to 44.0).16
Critical access status
No1993 (73.5)77 31598 28428.0 (17.6 to 39.3)<.001986 (89.4)16 24218 58114.7 (0.5 to 30.9).04
Yes719 (26.5)3140438641.2 (23.1 to 62.0<.001117 (10.6)618333.7 (−25 to 138.3).32
Location
Rural540 (19.9)2753366038.1 (18.7 to 60.8)<.00187 (7.9)688439.3 (−29.5 to 175).34
Urban2172 (80.1)77 70299 01029.7 (19.5 to 40.7)<.0011016 (92.1)16 23518 57914.8 (0.7 to 30.9).04
Safety net
No2259 (83.3)52 73167 33932.2 (21.7 to 43.5)<.001845 (76.6)10 14011 32311.6 (−4.5 to 30.4).17
Yes453 (16.7)27 72435 33129.4 (11.4 to 50.3)<.001258 (23.4)6163734124.7 (−0.7 to 56.7).06

Abbreviation: NA, not applicable.

Comparisons of whether multivariate adjusted increase in adult mechanical ventilators varied across hospital characteristic were all statistically nonsignificant.

Abbreviation: NA, not applicable. Comparisons of whether multivariate adjusted increase in adult mechanical ventilators varied across hospital characteristic were all statistically nonsignificant. South Carolina, Alaska, Nevada, Idaho, and Mississippi had the lowest per capita supply of adult mechanical ventilators, whereas New York, Louisiana, Arkansas, North Dakota, and Washington, DC, had the highest per capita supply (Figure). The state-level increase in ventilators during the pandemic was not correlated with the state-level ICU burden (r = 0.13; P = .37).
Figure.

Total Adult Mechanical Ventilators in US Acute Care Hospitals per 100 000 Residents

Data are from 2020.

Total Adult Mechanical Ventilators in US Acute Care Hospitals per 100 000 Residents

Data are from 2020.

Discussion

This cross-sectional study found a substantial increase in adult and pediatric mechanical ventilators reported by acute care hospitals in 2020 compared with 2019. Study limitations include possible response bias. The AHA Annual Survey did not differentiate between ventilator functionality, changes in numbers of anesthesia ventilators, or transport, backup, or rental ventilators, nor did it account for temporary ventilator allocation coordinated through state public health departments or the Dynamic Ventilator Reserve.[5] The increase in ventilators that were deployed in hospitals was not correlated with the state’s COVID-19 ICU burden, but this finding may not account for more dynamic shifts in ventilator stock across hospitals during waves of the pandemic. For both the current COVID-19 pandemic as well as future pandemic preparedness, these findings may help guide policy makers in deploying ventilators to states with the most urgent need of ventilators.
  2 in total

1.  Mechanical ventilators in US acute care hospitals.

Authors:  Lewis Rubinson; Frances Vaughn; Steve Nelson; Sam Giordano; Tom Kallstrom; Tim Buckley; Tabinda Burney; Nathaniel Hupert; Ryan Mutter; Michael Handrigan; Kevin Yeskey; Nicole Lurie; Richard Branson
Journal:  Disaster Med Public Health Prep       Date:  2010-10       Impact factor: 1.385

Review 2.  The US Strategic National Stockpile Ventilators in Coronavirus Disease 2019: A Comparison of Functionality and Analysis Regarding the Emergency Purchase of 200,000 Devices.

Authors:  Rich Branson; Jeffrey R Dichter; Henry Feldman; Asha Devereaux; David Dries; Joshua Benditt; Tanzib Hossain; Marya Ghazipura; Mary King; Marie Baldisseri; Michael D Christian; Guillermo Domingiuez-Cherit; Kiersten Henry; Anne Marie O Martland; Meredith Huffines; Doug Ornoff; Jason Persoff; Dario Rodriquez; Ryan C Maves; Niranjan Tex Kissoon; Lewis Rubinson
Journal:  Chest       Date:  2020-09-21       Impact factor: 9.410

  2 in total

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