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. 2024 Jul 17;39(13):2543–2553. doi: 10.1007/s11606-024-08852-1

Table 1.

Characteristics of Included Studies

Study (country)
Sample size
Participants Outcomes reported

Bangash 2022 (UK)

  N = 16,818

  NObs = 16,818

Inpatients

Median age: 63

% female: 42.1

% Black: 4.0

Prevalence of occult hypoxemia

Bias and precision†

Burnett 2022 (USA)

  N = 46,253

  NObs = 151,070

Patients undergoing anesthesia

Mean age: 57.0

% female: 45.5

% Black: 11.2

Prevalence and adjusted odds of occult hypoxemia

Bias and precision

Chelsey 2022 (USA)

  N = 7693

  NObs = 105,467

Critically ill patients admitted to ICUs

Median age: 64

% female: 41.1

% Black: 25.0

Prevalence and adjusted odds of occult hypoxemia

Clinical outcomes

Bias and precision

Fawzy 2022 (USA)

  N = 1216 (hypoxemia)

  NObs = 32,282

  N = 6673 (clinical outcomes)

Patients evaluated in emergency department or hospitalized for COVID-19

Mean age: 50.3–64.5

% female: 34.9–49.8

% Black: 39.3

Prevalence and adjusted odds of occult hypoxemia

Clinical outcomes

Fawzy 2023 (USA)

  N = 24,504

  NObs = 213,229

Patients hospitalized for COVID-19

Mean age: 60.9–67.5

% female: 41.9

% Black: 15.8

Prevalence and adjusted odds of occult hypoxemia

Clinical outcomes

Garnet 2023 (USA)

  N = 518

  NObs = 518

Patients with COPD undergoing oxygen testing

Mean age: 69.3

% female: 3.5

% Black: 25.6

Prevalence of occult hypoxemia

Bias and precision

Henry 2022 (USA)

  N = 26,603

  NObs = 128,258

Patients admitted to ICU or undergoing surgery during inpatient hospitalization

Median age: 64

% female: 41.6

% Black: 4.7

Prevalence and adjusted odds of occult hypoxemia

Clinical outcomes

Kalra 2023 (USA)

  N = 196

  NObs = 16,252

Patients on venoarterial or venovenous ECMO

Median age: 47–60

% female: 37.0–44.0

% Black: 19.0–33.0

Prevalence of occult hypoxemia

Bias and precision

Kalra 2023 (international registry)*

  N = 13,171

  NObs = 13,171

Patients on venovenous ECMO

Median age: 49

% female: 44.0

% Black: 14.0

Prevalence of occult hypoxemia

Bias and precision

Seitz 2022 (USA)

  N = 1024

  NObs = 5557

Critically ill adults receiving mechanical ventilation (excluding patients with COVID-19)

Median age: 54–58

% female: 43.0–47.0

% Black: 13.8

Prevalence of occult hypoxemia

Bias and precision

Sjoding 2020 (USA)

  N = 10,001

  NObs = 13,261

Patients receiving supplemental oxygen and patients in ICUs

% Black: 13.3

Prevalence of occult hypoxemia

Sudat 2022 (USA)

  N = 13,130

  NObs = 43,753

Hospitalized patients and patients evaluated in emergency department or hospitalized for COVID-19

Median age: 51–60

% female: 52.2–52.3

% Black: 19.5

Prevalence occult hypoxemia

Bias and precision

Clinical outcomes

Valbuena 2022 (USA)

  N = 28,531

  NObs = 30,039

Inpatients (medical and surgical)

Median age: 66–69

% female: 2.6–5.5

% Black: 21.7

Prevalence of occult hypoxemia

Bias and precision

Valbuena 2022 ECMO (USA)

  N = 372

  NObs = 1351

Patients in respiratory failure and about to undergo ECMO

% female: 32.5

% Black: 13.7

Prevalence and adjusted odds of occult hypoxemia

Bias and precision

Wong 2021 (USA)

  N = 87,971

  NObs = 87,971

Inpatients (including ICU)

Median age: 62

% female: 42.9

% Black: 29.6

Prevalence and adjusted risk of occult hypoxemia

Clinical outcomes

Bias and precision

COPD chronic obstructive pulmonary disease, ECMO extracorporeal membrane oxygenation, ICU intensive care unit, k number of studies, NObs number of paired observations

*Preprint

Pulse oximeter bias and precision evidence from included studies is described in the Discussion section