Evidence map›Paper›PMID 26587094›Full record

ArticleThe western journal of emergency medicine2015

Invasive Mechanical Ventilation in California Over 2000-2009: Implications for Emergency Medicine.

Seshadri C Mudumbai, Juli Barr, Jennifer Scott, Edward R Mariano, Edward Bertaccini, Hieu Nguyen, Stavros G Memtsoudis, Brian Cason, Ciaran S Phibbs, Todd Wagner

Abstract read
In one paragraph

Article in The western journal of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Seshadri C MudumbaiAnesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System ; Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford, California.
Juli BarrAnesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System ; Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford, California.
Jennifer ScottCenter for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System.
Edward R MarianoAnesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System ; Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford, California.
Edward BertacciniAnesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System ; Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford, California.
Hieu NguyenGeorge Washington School of Medicine, Washington, DC.
Stavros G MemtsoudisHospital for Special Surgery, Weill Medical College of Cornell University.
Brian CasonAnesthesia Service, Veterans Affairs San Francisco Health Care System ; University of California, San Francisco, Department of Anesthesiology and Perioperative Care, California.
Ciaran S PhibbsCenter for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System ; Stanford University School of Medicine, Department of Pediatrics.
Todd WagnerCenter for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatients who require invasive mechanical ventilation (IMV) often represent a sequence of care between the emergency department (ED) and intensive care unit (ICU). Despite being the most populous state, little information exists to define patterns of IMV use within the state of California.

methodsWe examined data from the masked Patient Discharge Database of California's Office of Statewide Health Planning and Development from 2000-2009. Adult patients who received IMV during their stay were identified using the International Classification of Diseases 9th Revision and Clinical Modification procedure codes (96.70, 96.71, 96.72). Patients were divided into age strata (18-34 yr, 35-64 yr, and >65 yr). Using descriptive statistics and regression analyses, for IMV discharges during the study period, we quantified the number of ED vs. non-ED based admissions; changes in patient characteristics and clinical outcome; evaluated the marginal costs for IMV; determined predictors for prolonged acute mechanical ventilation (PAMV, i.e. IMV>96 hr); and projected the number of IMV discharges and ED-based admissions by year 2020.

resultsThere were 696,634 IMV discharges available for analysis. From 2000-2009, IMV discharges increased by 2.8%/year: n=60,933 (293/100,000 persons) in 2000 to n=79,868 (328/100,000 persons) in 2009. While ED-based admissions grew by 3.8%/year, non-ED-based admissions remained stable (0%). During 2000-2009, fastest growth was noted for 1) the 35-64 year age strata; 2) Hispanics; 3) patients with non-Medicare public insurance; and 4) patients requiring PAMV. Average total patient cost-adjusted charges per hospital discharge increased by 29% from 2000 (from $42,528 to $60,215 in 2014 dollars) along with increases in the number of patients discharged to home and skilled nursing facilities. Higher marginal costs were noted for younger patients (ages 18-34 yr), non-whites, and publicly insured patients. Some of the strongest predictors for PAMV were age 35-64 years (OR=1.12; 95% CI [1.09-1.14], p<0.05); non-Whites; and non-Medicare public insurance. Our models suggest that by 2020, IMV discharges will grow to n=153,153 (377 IMV discharges/100,000 persons) with 99,095 admitted through the ED.

conclusionBased on sustained growth over the past decade, by the year 2020, we project a further increase to 153,153 IMV discharges with 99,095 admitted through the ED. Given limited ICU bed capacities, ongoing increases in the number and type of IMV patients have the potential to adversely affect California EDs that often admit patients to ICUs.

Indexed as

AdolescentAdultAgedAge FactorsCaliforniaDatabases, FactualEmergency Service, HospitalFemaleHospital CostsHumansIntensive Care UnitsMaleMiddle AgedRespiration, ArtificialTreatment OutcomeYoung Adult

Identifiers

PMID26587094
PMCPMC4644038

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.