2026 data Public-data reference. official source

Gauze/Sponge, Internal, X-Ray Detectable

Open-data reference.

FDA MAUDE adverse event data · 1992–2026

What the Data Shows About Gauze/Sponge, Internal, X-Ray Detectable

The FDA MAUDE database aggregates 2,473 adverse-event reports for Gauze/Sponge, Internal, X-Ray Detectable spanning the period from 1992 through 2026. Of these, 3 are classified as death reports, 194 as injury reports, and 2,149 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 12 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 Material Frayed topping the list at 364 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 291 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.

2,473
Total Reports
3
Death Reports
194
Injury Reports
2,149
Malfunctions

Event Types

Malfunction 2,149 (86.9%)
Injury 194 (7.8%)
Other 81 (3.3%)
46 (1.9%)
Death 3 (0.1%)

Patient Outcomes

2,108 (84.0%)
Other 204 (8.1%)
Required Intervention 126 (5.0%)
R 25 (1.0%)
Hospitalization 24 (1.0%)
O 8 (0.3%)
H 4 (0.2%)
Life Threatening 4 (0.2%)
L 2 (0.1%)
Death 2 (0.1%)
Disability 1 (0.0%)
Not Applicable 1 (0.0%)

Top Product Problems

Material Frayed 364
Material Fragmentation 361
Detachment of Device or Device Component 239
Material Separation 114
Component Missing 98
Material Integrity Problem 92
Incomplete or Missing Packaging 89
Packaging Problem 84
Particulates 55
Detachment Of Device Component 44
Material Disintegration 41
Manufacturing, Packaging or Shipping Problem 32
Device Contamination with Chemical or Other Material 26
Device Packaging Compromised 23
Break 22
Device Misassembled During Manufacturing /Shipping 21
Contamination /Decontamination Problem 17
Unraveled Material 17
Contamination 16
Delivered as Unsterile Product 16

Yearly Trend

92
1992: 3
93
1993: 1
94
1994: 15
95
1995: 6
96
1996: 15
97
1997: 17
98
1998: 12
99
1999: 6
00
2000: 14
01
2001: 16
02
2002: 6
03
2003: 6
04
2004: 18
05
2005: 11
06
2006: 19
07
2007: 15
08
2008: 25
09
2009: 96
10
2010: 44
11
2011: 38
12
2012: 80
13
2013: 40
14
2014: 65
15
2015: 122
16
2016: 291
17
2017: 252
18
2018: 250
19
2019: 177
20
2020: 116
21
2021: 134
22
2022: 226
23
2023: 98
24
2024: 114
25
2025: 115
26
2026: 10

Related Entities for Gauze/Sponge, Internal, X-Ray Detectable

Event Locations

I 1,143 (46.2%)
677 (27.4%)
HOSPITAL 520 (21.0%)
NO INFORMATION 49 (2.0%)
OUTPATIENT TREATMENT FACILITY 32 (1.3%)
OTHER 26 (1.1%)
AMBULATORY SURGICAL FACILITY 19 (0.8%)
INVALID DATA 3 (0.1%)
OPERATING ROOM 2 (0.1%)
HOME 1 (0.0%)
UNKNOWN 1 (0.0%)

Compare COVIDIEN vs MITG - RF SURGICAL SYSTEMS →

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.