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Separator, Automated, Blood Cell, Diagnostic

Open-data reference.

FDA MAUDE adverse event data · 1993–2026

What the Data Shows About Separator, Automated, Blood Cell, Diagnostic

The FDA MAUDE database aggregates 6,535 adverse-event reports for Separator, Automated, Blood Cell, Diagnostic spanning the period from 1993 through 2026. Of these, 261 are classified as death reports, 927 as injury reports, and 5,045 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 Adverse Event Without Identified Device or Use Problem topping the list at 2,487 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 561 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 10 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.

6,535
Total Reports
261
Death Reports
927
Injury Reports
5,045
Malfunctions

Event Types

Malfunction 5,045 (77.2%)
Injury 927 (14.2%)
Death 261 (4.0%)
216 (3.3%)
Other 86 (1.3%)

Patient Outcomes

Other 5,141 (75.2%)
793 (11.6%)
Required Intervention 220 (3.2%)
R 216 (3.2%)
Death 198 (2.9%)
Hospitalization 152 (2.2%)
O 68 (1.0%)
Life Threatening 21 (0.3%)
H 11 (0.2%)
L 11 (0.2%)
S 2 (0.0%)
Disability 1 (0.0%)

Top Product Problems

Adverse Event Without Identified Device or Use Problem 2,487
Insufficient Information 1,029
High Test Results 453
No Apparent Adverse Event 311
High Readings 240
Use of Device Problem 209
Device Operates Differently Than Expected 176
Mechanical Problem 165
Device Slipped 148
Appropriate Term/Code Not Available 108
Improper or Incorrect Procedure or Method 107
Contamination of Device Ingredient or Reagent 106
Thermal Decomposition of Device 89
Device Handling Problem 74
Incorrect, Inadequate or Imprecise Result or Readings 71
Device Displays Incorrect Message 70
Temperature Problem 68
Inadequate User Interface 42
Patient-Device Incompatibility 40
Unintended Movement 39

Yearly Trend

93
1993: 1
94
1994: 5
95
1995: 2
96
1996: 16
97
1997: 72
98
1998: 111
99
1999: 55
00
2000: 57
01
2001: 40
02
2002: 53
03
2003: 33
04
2004: 47
05
2005: 63
06
2006: 19
07
2007: 8
08
2008: 4
09
2009: 16
10
2010: 11
11
2011: 77
12
2012: 551
13
2013: 460
14
2014: 371
15
2015: 357
16
2016: 440
17
2017: 327
18
2018: 354
19
2019: 434
20
2020: 561
21
2021: 490
22
2022: 445
23
2023: 343
24
2024: 444
25
2025: 235
26
2026: 33

Related Entities for Separator, Automated, Blood Cell, Diagnostic

Event Locations

3,578 (54.8%)
I 2,610 (39.9%)
OTHER 184 (2.8%)
HOSPITAL 93 (1.4%)
NO INFORMATION 25 (0.4%)
OUTPATIENT TREATMENT FACILITY 16 (0.2%)
INVALID DATA 14 (0.2%)
UNKNOWN 9 (0.1%)
BLOOD BANK 5 (0.1%)
DIALYSIS CENTER 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.