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Lenses, Soft Contact, Daily Wear

Open-data reference.

FDA MAUDE adverse event data · 1994–2026

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

The FDA MAUDE database aggregates 4,769 adverse-event reports for Lenses, Soft Contact, Daily Wear spanning the period from 1994 through 2026. Of these, 0 are classified as death reports, 4,329 as injury reports, and 235 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 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 Adverse Event Without Identified Device or Use Problem topping the list at 1,046 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 33 years of MAUDE data, with the peak single-year volume reaching 377 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 15 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.

4,769
Total Reports
0
Death Reports
4,329
Injury Reports
235
Malfunctions

Event Types

Injury 4,329 (90.8%)
Malfunction 235 (4.9%)
Other 134 (2.8%)
71 (1.5%)

Patient Outcomes

Other 2,656 (42.7%)
Required Intervention 1,441 (23.1%)
R 976 (15.7%)
327 (5.3%)
O 291 (4.7%)
Hospitalization 188 (3.0%)
S 176 (2.8%)
Disability 149 (2.4%)
H 15 (0.2%)
Life Threatening 4 (0.1%)
L 2 (0.0%)
Congenital Anomaly 2 (0.0%)

Top Product Problems

Adverse Event Without Identified Device or Use Problem 1,046
No Apparent Adverse Event 187
Insufficient Information 129
Patient-Device Incompatibility 107
Improper or Incorrect Procedure or Method 87
Material Split, Cut or Torn 53
Appropriate Term/Code Not Available 45
Difficult to Remove 38
Product Quality Problem 30
Use of Device Problem 29
Break 24
Torn Material 20
Device Operates Differently Than Expected 18
Patient Device Interaction Problem 16
Fitting Problem 13
Therapeutic or Diagnostic Output Failure 13
Contamination 12
Defective Device 12
Inadequacy of Device Shape and/or Size 12
Device Handling Problem 11

Yearly Trend

94
1994: 18
95
1995: 8
96
1996: 26
97
1997: 34
98
1998: 58
99
1999: 33
00
2000: 41
01
2001: 41
02
2002: 57
03
2003: 103
04
2004: 102
05
2005: 108
06
2006: 156
07
2007: 280
08
2008: 214
09
2009: 137
10
2010: 220
11
2011: 377
12
2012: 250
13
2013: 151
14
2014: 179
15
2015: 161
16
2016: 193
17
2017: 280
18
2018: 257
19
2019: 205
20
2020: 117
21
2021: 110
22
2022: 126
23
2023: 178
24
2024: 297
25
2025: 217
26
2026: 35

Related Entities for Lenses, Soft Contact, Daily Wear

Event Locations

3,106 (65.1%)
I 975 (20.4%)
NO INFORMATION 246 (5.2%)
UNKNOWN 232 (4.9%)
HOME 141 (3.0%)
INVALID DATA 23 (0.5%)
OTHER 16 (0.3%)
HOSPITAL 11 (0.2%)
NOT APPLICABLE 7 (0.1%)
OUTPATIENT DIAGNOSTIC FACILITY 5 (0.1%)
PUBLIC VENUE 3 (0.1%)
AMBULATORY SURGICAL FACILITY 1 (0.0%)
CLINIC - WALK IN, OTHER 1 (0.0%)
NURSING HOME 1 (0.0%)
OUTDOORS 1 (0.0%)

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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.