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Gas-Machine, Anesthesia

Open-data reference.

FDA MAUDE adverse event data · 1992–2026

What the Data Shows About Gas-Machine, Anesthesia

The FDA MAUDE database aggregates 44,393 adverse-event reports for Gas-Machine, Anesthesia spanning the period from 1992 through 2026. Of these, 107 are classified as death reports, 682 as injury reports, and 43,409 as malfunction reports under FDA adverse-event categorization rules. Report counts do not by themselves indicate a device is unsafe — widely used devices and longer market histories naturally generate larger raw counts, so proportional and comparative reads are more informative than totals alone.

The adverse-event profile breaks down across 5 distinct event types and 14 reported patient-outcome categories, giving a multi-dimensional view that goes beyond a single headline number. A total of 20 distinct product-problem codes appear in the reports, with Therapeutic or Diagnostic Output Failure topping the list at 6,545 reports. Reports are associated with 10 different manufacturers in the MAUDE record, reflecting both OEMs and repackagers of this device category.

Annual reporting volume is tracked across 35 years of MAUDE data, with the peak single-year volume reaching 9,366 reports — trend shape often reflects changes in device adoption, reporting rules, or FDA enforcement focus rather than underlying device behavior alone. Events are documented across 11 reported care-setting categories (hospital, home, ambulatory surgery center, etc.). All figures reflect the openFDA MAUDE snapshot last refreshed on . This page is informational and is not medical advice — discuss device-safety questions with your healthcare provider.

44,393
Total Reports
107
Death Reports
682
Injury Reports
43,409
Malfunctions

Event Types

Malfunction 43,409 (97.8%)
Injury 682 (1.5%)
Other 121 (0.3%)
Death 107 (0.2%)
74 (0.2%)

Patient Outcomes

43,160 (97.1%)
Other 459 (1.0%)
Required Intervention 322 (0.7%)
Life Threatening 181 (0.4%)
Death 108 (0.2%)
Hospitalization 64 (0.1%)
R 42 (0.1%)
Disability 33 (0.1%)
S 24 (0.1%)
L 22 (0.0%)
O 9 (0.0%)
H 2 (0.0%)
Invalid Data 2 (0.0%)
Congenital Anomaly 1 (0.0%)

Top Product Problems

Therapeutic or Diagnostic Output Failure 6,545
Mechanical Problem 4,457
Failure to Run on Battery 3,550
No Flow 3,454
Insufficient Flow or Under Infusion 2,171
No Display/Image 1,682
Device Operates Differently Than Expected 1,482
Power Problem 1,393
Unexpected Therapeutic Results 1,307
Output Problem 1,233
Gas/Air Leak 1,230
Failure to Deliver 1,229
Electrical /Electronic Property Problem 1,151
Appropriate Term/Code Not Available 1,065
Gas Output Problem 1,000
Increase in Pressure 924
Unexpected Shutdown 872
Infusion or Flow Problem 756
Device Alarm System 635
Leak/Splash 613

Yearly Trend

92
1992: 3
93
1993: 5
94
1994: 8
95
1995: 13
96
1996: 15
97
1997: 28
98
1998: 27
99
1999: 45
00
2000: 141
01
2001: 116
02
2002: 99
03
2003: 149
04
2004: 147
05
2005: 159
06
2006: 107
07
2007: 132
08
2008: 104
09
2009: 85
10
2010: 97
11
2011: 87
12
2012: 89
13
2013: 308
14
2014: 279
15
2015: 572
16
2016: 2,135
17
2017: 2,355
18
2018: 2,589
19
2019: 1,957
20
2020: 2,687
21
2021: 3,123
22
2022: 4,352
23
2023: 5,595
24
2024: 6,067
25
2025: 9,366
26
2026: 1,352

Related Entities for Gas-Machine, Anesthesia

Event Locations

28,802 (64.9%)
I 14,072 (31.7%)
HOSPITAL 1,271 (2.9%)
NO INFORMATION 187 (0.4%)
UNKNOWN 18 (0.0%)
AMBULATORY SURGICAL FACILITY 14 (0.0%)
INVALID DATA 10 (0.0%)
NOT APPLICABLE 8 (0.0%)
OTHER 7 (0.0%)
HOME 2 (0.0%)
OUTPATIENT TREATMENT FACILITY 2 (0.0%)

Compare DATEX-OHMEDA, INC. vs GE MEDICAL SYSTEMS (CHINA) CO., LTD (WUXI) →

Data Source

FDA Manufacturer and User Facility Device Experience (MAUDE) database via the openFDA API. Reports are submitted by manufacturers, healthcare facilities, and patients. Report counts do not indicate a device is unsafe — higher-use devices naturally generate more reports.

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the FDA MAUDE database. Consult a qualified professional before making decisions based on this data.