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Table 1.  

Pre-operative VA

Postoperative VA loss

<1.00 LogMAR A loss of ≥0.30 LogMAR
≥1.00 to <CF Postoperative VA of HM, NPL or PL
CF Postoperative VA of NPL or PL
HM Postoperative VA of NPL
PL VA loss not considered
NPL VA loss not considered

Table 1. Definition of visual loss.

CF count fingers, HM hand movements, PL perception of light, NPL no perception of light.

Table 2.  

N (row %)

AISH

No AISH

Overall

p value

Number of operations

204 (0.03)

708,879

709,083

 

Patient Factors

Gender

 Male

74 (0.02)

299,023

299,097

 

 Female

130 (0.03)

409,584

409,714

0.222

 Not stated

0 (0.00)

272

272

 

Age at surgery in years

 <70

20 (0.01)

177,207

177,227

<0.001

 70–74

31 (0.03)

123,415

123,446

 

 75–79

44 (0.03)

150,801

150,845

 

 80–84

41 (0.03)

144,307

144,348

 

 85–89

43 (0.05)

85,022

85,065

 

 >=90

25 (0.09)

28,127

28,152

 

Diabetic Status

 Not diabetic

174 (0.03)

558,239

558,413

0.022

 Has diabetes mellitus

30 (0.02)

150,640

150,670

 

Anticoagulant Use

 No

131 (0.03)

483,844

483,975

0.215

 Yes

73 (0.03)

225,035

225,108

 

Eye Factors

Age

IOP

First/Second eye a

 First treated eye

118 (0.03)

391,333

391,451

0.449

 Second treated eye

86 (0.03)

317,546

317,632

 

Axial Length (mm)

 <21 (short)

28 (0.05)

59,174

59,202

 

 21–26 (normal)

167 (0.03)

615,001

615,168

0.021

 >26 (long)

9 (0.03)

34,704

34,713

 

Glaucoma

 No

157 (0.02)

639,398

639,555

0.001

 Yes

47 (0.07)

69,481

69,528

 

Brunescent/white/mature cataract

 No

184 (0.03)

674,976

675,160

0.001

 Yes

20 (0.06)

33,903

33,923

 

IOP

 <10 (low)

4 (0.02)

19,462

19,466

 

 10–21 (normal)

160 (0.02)

653,709

653,869

<0.001

 >21 (high)

40 (0.11)

35,708

35,748

 

Operative Factors

Surgeon’s grade

 Consultants

132 (0.03)

503,647

503,779

<0.001

 Career grade non-consultants

7 (0.01)

52,639

52,646

 

 Experienced trainees

62 (0.05)

127,567

127,629

 

 Inexperienced trainees

3 (0.01)

25,026

25,029

 

PCR

 No

159 (0.02)

699,701

699,860

<0.001

 Yes

45 (0.49)

9178

9223

 

Anaesthesia type

 Topical

32 (0.04)

88,688

88,720

<0.001

 Intracameral

58 (0.02)

326,610

326,668

 

 Sub-Tenon’s

103 (0.04)

263,104

263,207

 

 Peribulbar/Retrobulbar

11 (0.04)

30,477

30,488

 

Incision size (mm)

 <22 mm

10 (0.04)

24,374

24,384

 

 2.2–2.75 mm

117 (0.03)

427,918

428,035

<0.001

 2.75–3.2 mm

51 (0.02)

221,537

221,588

 

 >3.2 mm

26 (0.07)

35,050

35,076

 

Table 2. Univariate analysis of potential risk factors for suprachoroidal haemorrhage for patient, ocular and surgical covariates.

N = 709 083 operations performed in 65 centres by 2680 surgeons.

aAll ISBCS cases are included with first treated eyes.

Table 3.  

Risk factor estimates

Odds Ratio

Odds Ratio 95% CI

Coefficient

p value

PCR

17.562

(12.402, 24.869)

2.866

<0.001

Age

 >70 a

REF

     

 70–74

2.276

(1.265, 4.097)

0.823

0.006

 75–79

2.616

(1.456, 4.702)

0.962

0.001

 80–84

2.445

(1.321, 4.527)

0.894

0.004

 85–89

4.069

(2.203, 7.516)

1.403

<0.001

 >=90

6.675

(3.469, 12.842)

1.898

<0.001

IOP

 Normal a

REF

     

 Low

0.740

(0.245, 2.236)

−0.301

0.593

 High

3.723

(2.506, 5.532)

1.315

<0.001

Incision size

 2.2–2.75 mm a

REF

     

 <22 mm

1.388

(0.701, 2.748)

0.328

0.347

 2.75–3.2 mm

0.804

(0.565, 1.142)

−0.219

0.223

 >3.2 mm

2.087

(1.332, 3.269)

0.736

0.001

Axial Length

 22–26 mm a

REF

     

 <22 mm

1.572

(1.061, 2.328)

0.452

0.024

 >26 mm

1.236

(0.560, 2.729)

0.212

0.599

Surgeon’s grade

 Consultants a

REF

     

 Career grade non-consultants

0.486

(0.170, 1.115)

−0.831

0.083

 Experienced trainees

0.935

(1.060, 2.066)

0.392

0.021

 Inexperienced trainees

0.810

(0.121, 1.082)

−1.016

0.069

Glaucoma

1.704

(1.189, 2.440)

0.533

0.004

Anaesthesia type

 Topical a

REF

     

 Intracameral

0.486

(0.301, 0.785)

−0.721

0.003

 Subtenon

0.935

(0.594, 1.470)

−0.068

0.770

 Peribulbar/Retrobulbar

0.810

(0.351, 1.871)

−0.211

0.622

Diabetic Status

0.643

(0.441, 0.938)

−0.442

0.022

Constant

<0.001

(<0.001, <0.001)

−9.200

<0.001

N (row %)

AISH

No AISH

Overall

p value

Number of operations

204 (0.03)

708,879

709,083

 

Patient Factors

Gender

 Male

74 (0.02)

299,023

299,097

 

 Female

130 (0.03)

409,584

409,714

0.222

 Not stated

0 (0.00)

272

272

 

Age at surgery in years

 <70

20 (0.01)

177,207

177,227

<0.001

 70–74

31 (0.03)

123,415

123,446

 

 75–79

44 (0.03)

150,801

150,845

 

 80–84

41 (0.03)

144,307

144,348

 

 85–89

43 (0.05)

85,022

85,065

 

 >=90

25 (0.09)

28,127

28,152

 

Diabetic Status

 Not diabetic

174 (0.03)

558,239

558,413

0.022

 Has diabetes mellitus

30 (0.02)

150,640

150,670

 

Anticoagulant Use

 No

131 (0.03)

483,844

483,975

0.215

 Yes

73 (0.03)

225,035

225,108

 

Eye Factors

Age

IOP

First/Second eyea

 First treated eye

118 (0.03)

391,333

391,451

0.449

 Second treated eye

86 (0.03)

317,546

317,632

 

Axial Length (mm)

 <21 (short)

28 (0.05)

59,174

59,202

 

 21–26 (normal)

167 (0.03)

615,001

615,168

0.021

 >26 (long)

9 (0.03)

34,704

34,713

 

Glaucoma

 No

157 (0.02)

639,398

639,555

0.001

 Yes

47 (0.07)

69,481

69,528

 

Brunescent/white/mature cataract

 No

184 (0.03)

674,976

675,160

0.001

 Yes

20 (0.06)

33,903

33,923

 

IOP

 <10 (low)

4 (0.02)

19,462

19,466

 

 10–21 (normal)

160 (0.02)

653,709

653,869

<0.001

 >21 (high)

40 (0.11)

35,708

35,748

 

Operative Factors

Surgeon’s grade

 Consultants

132 (0.03)

503,647

503,779

<0.001

 Career grade non-consultants

7 (0.01)

52,639

52,646

 

 Experienced trainees

62 (0.05)

127,567

127,629

 

 Inexperienced trainees

3 (0.01)

25,026

25,029

 

PCR

 No

159 (0.02)

699,701

699,860

<0.001

 Yes

45 (0.49)

9178

9223

 

Anaesthesia type

 Topical

32 (0.04)

88,688

88,720

<0.001

 Intracameral

58 (0.02)

326,610

326,668

 

 Sub-Tenon’s

103 (0.04)

263,104

263,207

 

 Peribulbar/Retrobulbar

11 (0.04)

30,477

30,488

 

Incision size (mm)

 <22 mm

10 (0.04)

24,374

24,384

 

 2.2–2.75 mm

117 (0.03)

427,918

428,035

<0.001

 2.75–3.2 mm

51 (0.02)

221,537

221,588

 

 >3.2 mm

26 (0.07)

35,050

35,076

 

Table 3. Suprachoroidal haemorrhage risk factor model estimates.

N = 709,083 operations performed in 65 centres by 2680 surgeons.

aReference category.

CME

The Royal College of Ophthalmologists’ National Ophthalmology Database Study of Cataract Surgery: Report 12, Risk Factors for Suprachoroidal Haemorrhage During Cataract Surgery

  • Authors: Stephen Stewart, MA, PgDipCRS, CertLRS, FRCOphth; Marta H. Gruszka-Goh, MSc; Yan Ning Neo, MBChB, FHEA, FRCOphth; Alice J. Braga, MBChB Hons, MRCP, FRCA, RCPathME; Timothy A. de Klerk, MBChB, PGC, CertLRS, FRCOphth; Dan Lindfield, BM, PGCertME, FRCOphth; Achim Richard Nestel, PhD, MRCOphth; Paul Henry John Donachie, MSc; John C. Buchan, FRCOphth, MD
  • CME Released: 5/12/2023
  • Valid for credit through: 5/12/2024
Start Activity

  • Credits Available

    Physicians - maximum of 1.00 AMA PRA Category 1 Credit(s)™

    You Are Eligible For

    • Letter of Completion

Target Audience and Goal Statement

This activity is intended for ophthalmologists and other healthcare professionals who participate in cataract surgery.

The goal of this activity is for learners to be better able to understand the prevalence and risk factors for intraoperative suprachoroidal hemorrhage.

Upon completion of this activity, participants will:

  • Distinguish the prevalence of intraoperative suprachoroidal hemorrhage (AISH) after cataract surgery
  • Identify the most significant risk factor for AISH after cataract surgery
  • Compare different techniques of anesthesia for cataract surgery in the context of their associated risk for AISH
  • Evaluate other patient factors that can affect the risk for AISH after cataract surgery


Disclosures

Medscape, LLC requires every individual in a position to control educational content to disclose all financial relationships with ineligible companies that have occurred within the past 24 months. Ineligible companies are organizations whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.

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Faculty

  • Stephen Stewart, MA, PgDipCRS, CertLRS, FRCOphth

    Belfast Health and Social Care Trust
    Centre for Public Health
    Queen’s University
    Belfast, United Kingdom

  • Marta H. Gruszka-Goh, MSc

    The Royal College of Ophthalmologists’ National Ophthalmology Audit
    London, United Kingdom
    Gloucestershire Hospitals NHS Foundation Trust
    Cheltenham, United Kingdom

  • Yan Ning Neo, MBChB, FHEA, FRCOphth

    Imperial College Healthcare NHS Trust
    London, United Kingdom

  • Alice J. Braga, MBChB Hons, MRCP, FRCA, RCPathME

    Worcestershire Acute Hospitals NHS
    Worcester, United Kingdom

  • Timothy A. de Klerk, MBChB, PGC, CertLRS, FRCOphth

    Manchester University NHS Foundation Trust
    Manchester, United Kingdom

  • Dan Lindfield, BM, PGCertME, FRCOphth

    Royal Surrey County Hospital NHS Foundation Trust
    Guildford, United Kingdom

  • Achim Richard Nestel, PhD, MRCOphth

    Royal Devon University Healthcare NHS Foundation Trust
    Exeter, United Kingdom

  • Paul Henry John Donachie, MSc

    The Royal College of Ophthalmologists’ National Ophthalmology Audit
    London, United Kingdom
    Gloucestershire Hospitals NHS Foundation Trust
    Cheltenham, United Kingdom

  • John C. Buchan, FRCOphth, MD

    The Royal College of Ophthalmologists’ National Ophthalmology Audit
    International Centre for Eye Health
    London School of Hygiene and Tropical Medicine
    London, United Kingdom
    Leeds Teaching Hospitals NHS Trust
    Leeds, United Kingdom

CME Author

  • Charles P. Vega, MD

    Health Sciences Clinical Professor of Family Medicine
    University of California, Irvine School of Medicine

    Disclosures

    Charles P. Vega, MD, has the following relevant financial relationships:
    Consultant or advisor for: Boehringer Ingelheim Pharmaceuticals, Inc.; GlaxoSmithKline; Johnson & Johnson Pharmaceutical Research & Development, L.L.C.

Editor

  • Sobha Sivaprasad, MD

    Editor, Eye 

Compliance Reviewer

  • Leigh Schmidt, MSN, RN, CNE, CHCP

    Associate Director, Accreditation and Compliance, Medscape, LLC

    Disclosures

    Leigh Schmidt, MSN, RN, CNE, CHCP, has no relevant financial relationships.


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From Eye
CME

The Royal College of Ophthalmologists’ National Ophthalmology Database Study of Cataract Surgery: Report 12, Risk Factors for Suprachoroidal Haemorrhage During Cataract Surgery

Authors: Stephen Stewart, MA, PgDipCRS, CertLRS, FRCOphth; Marta H. Gruszka-Goh, MSc; Yan Ning Neo, MBChB, FHEA, FRCOphth; Alice J. Braga, MBChB Hons, MRCP, FRCA, RCPathME; Timothy A. de Klerk, MBChB, PGC, CertLRS, FRCOphth; Dan Lindfield, BM, PGCertME, FRCOphth; Achim Richard Nestel, PhD, MRCOphth; Paul Henry John Donachie, MSc; John C. Buchan, FRCOphth, MDFaculty and Disclosures

CME Released: 5/12/2023

Valid for credit through: 5/12/2024

processing....

Abstract and Introduction

Abstract

OBJECTIVE: To establish the incidence of acute intraoperative suprachoroidal haemorrhage (AISH) during cataract surgery and identify the risk factors for this complication.

METHODS: Data from the Royal College of Ophthalmologists ‘National Ophthalmology Database was analysed. During the 11-year study period, from 01/04/2010 to 31/03/2021, 709 083 operations performed on 498 170 patients from 65 centres were eligible for inclusion.

RESULTS: AISH occurred in 0.03% (204/709 083, approximately 1 in 3 500) of eligible cataract operations performed during the study period. Posterior capsule rupture was the risk factor most strongly associated with AISH (OR: 17.6, 95% CI: 12.4–24.9, p < 0.001). Other ocular risk factors identified were raised intraocular pressure (IOP) preoperatively (OR: 3.7, 95% CI: 2.5–5.5, p < 0.001), glaucoma (OR: 1.7, 95% CI: 1.2–2.4, p = 0.004). Risk increased with age and patients aged over 90 years were at greatest risk (OR: 6.7, 95% CI: 3.5–12.8, p < 0.001). The addition of intracameral anaesthetic when performing surgery under topical anaesthetic appears to be protective (OR: 0.5, 95 % CI: 0.3–0.8, p = 0.003), compared to topical anaesthetical one. There was a 16 fold increase in the incidence of vision loss when AISH occurred.

CONCLUSIONS: The risk of AISH during modern cataract surgery is approximately 1 in 3500 and is associated with a significant increase in the risk of vision loss should it occur. Posterior capsule rupture is the risk factor most strongly associated with AISH. Preoperative IOP control is a modifiable risk factor. The use of intracameral anaesthesia may reduce the risk of AISH.

Introduction

Acute intraoperative suprachoroidal haemorrhage (AISH) is a rare but sight-threatening complication of cataract surgery [1–3]. Acute hypotony during surgery can cause a ciliochoroidal effusion and subsequent rupture of stretched posterior ciliary arteries [4–7]. Multiple risk factors for AISH have been identified, including older age, cardiovascular disease, glaucoma, increased axial length and posterior capsule rupture [7, 8]. AISH is a cause of irreversible vision loss following cataract surgery: a large epidemiological study found that a final visual acuity of 6/12 or better was achieved in only 40% of patients who developed this complication [3].

Previous studies have reported an incidence of 0.03–0.06% for AISH occurring during cataract surgery using phacoemulsification [1, 9]. However, there have been substantial changes in surgical and anaesthetic techniques in the past two decades since these studies were published. The administration of oral anticoagulants to our patient population has also changed, with an increase in direct oral anticoagulant (DOAC) prescriptions and a corresponding decrease in warfarin use [10].

This study aims to establish an estimated incidence of AISH occurring during modern cataract surgery and identify risk factors for this complication, using data submitted to the Royal College of Ophthalmologists (RCOphth) National Ophthalmology Database (NOD).