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Lenses, Soft Contact, Extended Wear

Open-data reference.

FDA MAUDE adverse event data · 1993–2026

What the Data Shows About Lenses, Soft Contact, Extended Wear

The FDA MAUDE database aggregates 2,995 adverse-event reports for Lenses, Soft Contact, Extended Wear spanning the period from 1993 through 2026. Of these, 0 are classified as death reports, 2,882 as injury reports, and 40 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 4 distinct event types and 11 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 Adverse Event Without Identified Device or Use Problem topping the list at 936 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 34 years of MAUDE data, with the peak single-year volume reaching 220 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.

2,995
Total Reports
0
Death Reports
2,882
Injury Reports
40
Malfunctions

Event Types

Injury 2,882 (96.2%)
Other 44 (1.5%)
Malfunction 40 (1.3%)
29 (1.0%)

Patient Outcomes

Other 1,879 (43.7%)
R 978 (22.8%)
Required Intervention 840 (19.5%)
O 175 (4.1%)
S 137 (3.2%)
113 (2.6%)
Hospitalization 90 (2.1%)
Disability 72 (1.7%)
H 11 (0.3%)
Life Threatening 2 (0.0%)
Congenital Anomaly 1 (0.0%)

Top Product Problems

Adverse Event Without Identified Device or Use Problem 936
No Apparent Adverse Event 339
Insufficient Information 118
Patient-Device Incompatibility 28
Improper or Incorrect Procedure or Method 16
Defective Device 12
Appropriate Term/Code Not Available 11
Use of Device Problem 11
Device Operates Differently Than Expected 6
Fitting Problem 6
Material Split, Cut or Torn 6
Microbial Contamination of Device 5
Nonstandard Device 5
Scratched Material 5
Torn Material 5
Break 4
Difficult to Remove 4
Material Integrity Problem 4
Patient Device Interaction Problem 4
Device Contamination with Chemical or Other Material 3

Yearly Trend

93
1993: 3
94
1994: 14
95
1995: 12
96
1996: 5
97
1997: 9
98
1998: 3
99
1999: 5
00
2000: 9
01
2001: 14
02
2002: 38
03
2003: 51
04
2004: 96
05
2005: 72
06
2006: 97
07
2007: 68
08
2008: 42
09
2009: 56
10
2010: 108
11
2011: 155
12
2012: 181
13
2013: 172
14
2014: 111
15
2015: 143
16
2016: 220
17
2017: 215
18
2018: 195
19
2019: 189
20
2020: 107
21
2021: 103
22
2022: 82
23
2023: 118
24
2024: 163
25
2025: 116
26
2026: 23

Related Entities for Lenses, Soft Contact, Extended Wear

Event Locations

1,784 (59.6%)
I 1,032 (34.5%)
NO INFORMATION 54 (1.8%)
HOME 51 (1.7%)
UNKNOWN 51 (1.7%)
INVALID DATA 10 (0.3%)
HOSPITAL 6 (0.2%)
OUTPATIENT DIAGNOSTIC FACILITY 3 (0.1%)
OUTPATIENT TREATMENT FACILITY 2 (0.1%)
NURSING HOME 1 (0.0%)
PUBLIC VENUE 1 (0.0%)

Compare JOHNSON & JOHNSON VISION CARE, INC. ¿ US vs COOPERVISION MANUFACTURING, LTD. →

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.