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Separator, Automated, Blood Cell And Plasma, Therapeutic

Open-data reference.

FDA MAUDE adverse event data · 1993–2026

What the Data Shows About Separator, Automated, Blood Cell And Plasma, Therapeutic

The FDA MAUDE database aggregates 2,731 adverse-event reports for Separator, Automated, Blood Cell And Plasma, Therapeutic spanning the period from 1993 through 2026. Of these, 105 are classified as death reports, 597 as injury reports, and 1,461 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 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 654 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 481 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 12 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.

2,731
Total Reports
105
Death Reports
597
Injury Reports
1,461
Malfunctions

Event Types

Malfunction 1,461 (53.5%)
Injury 597 (21.9%)
Other 425 (15.6%)
143 (5.2%)
Death 105 (3.8%)

Patient Outcomes

Other 1,903 (64.7%)
421 (14.3%)
Required Intervention 301 (10.2%)
R 139 (4.7%)
O 65 (2.2%)
Hospitalization 63 (2.1%)
Death 27 (0.9%)
Life Threatening 15 (0.5%)
H 3 (0.1%)
L 3 (0.1%)
Disability 1 (0.0%)

Top Product Problems

Adverse Event Without Identified Device or Use Problem 654
Insufficient Information 392
Inadequate User Interface 155
Use of Device Problem 92
Improper or Incorrect Procedure or Method 89
Patient Data Problem 83
No Apparent Adverse Event 77
Device Displays Incorrect Message 63
Patient-Device Incompatibility 41
Nonstandard Device 31
Device Operates Differently Than Expected 21
Fluid/Blood Leak 18
Device Operational Issue 17
Air Leak 15
Gas/Air Leak 12
Insufficient Flow or Under Infusion 12
Obstruction of Flow 11
Appropriate Term/Code Not Available 9
Excess Flow or Over-Infusion 9
Infusion or Flow Problem 9

Yearly Trend

93
1993: 1
94
1994: 2
95
1995: 2
96
1996: 6
97
1997: 8
98
1998: 9
99
1999: 1
00
2000: 3
01
2001: 4
02
2002: 5
03
2003: 3
04
2004: 4
05
2005: 6
06
2006: 7
07
2007: 10
08
2008: 14
09
2009: 18
10
2010: 132
11
2011: 481
12
2012: 372
13
2013: 96
14
2014: 128
15
2015: 306
16
2016: 206
17
2017: 169
18
2018: 55
19
2019: 72
20
2020: 135
21
2021: 63
22
2022: 42
23
2023: 132
24
2024: 161
25
2025: 69
26
2026: 9

Related Entities for Separator, Automated, Blood Cell And Plasma, Therapeutic

Event Locations

1,613 (59.1%)
I 993 (36.4%)
HOSPITAL 75 (2.7%)
NO INFORMATION 17 (0.6%)
OTHER 14 (0.5%)
INVALID DATA 8 (0.3%)
UNKNOWN 4 (0.1%)
OUTPATIENT TREATMENT FACILITY 3 (0.1%)
AMBULATORY SURGICAL FACILITY 1 (0.0%)
BLOOD BANK 1 (0.0%)
HOME 1 (0.0%)
OUTPATIENT DIAGNOSTIC FACILITY 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.