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Record W4409454432 · doi:10.37275/jacr.v5i1.732

Purtscher-like Retinopathy in Critically Ill Patients (Non-Traumatic Etiologies): A Systematic Review and Meta-analysis of Incidence, Associated Conditions, and Visual Outcomes

2025· review· en· W4409454432 on OpenAlexaboutno aff
Ramzi Amin, Dina Fatwa

Bibliographic record

VenueJournal of Anesthesiology and Clinical Research · 2025
Typereview
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsEtiologyMedicineCritically illIncidence (geometry)Meta-analysisRetinopathyIntensive care medicinePediatricsInternal medicineDiabetes mellitus

Abstract

fetched live from OpenAlex

Introduction: Purtscher-like retinopathy (PLR) is an occlusive microvasculopathy presenting with funduscopic findings similar to Purtscher's retinopathy but occurring in the absence of direct head or chest trauma. Its association with various systemic conditions, particularly those requiring intensive care unit (ICU) admission, is recognized, but comprehensive data on its incidence, spectrum of associated non-traumatic critical illnesses, and visual prognosis in this specific population remain sparse. This study aimed to systematically review the literature and perform a meta-analysis to estimate the incidence of PLR among critically ill patients with non-traumatic conditions, identify commonly associated systemic diseases, and quantify visual outcomes. Methods: A systematic review and meta-analysis were conducted following PRISMA guidelines. PubMed, Embase, Scopus, and Web of Science databases were searched from January 1st, 2013, to December 31st, 2023, for studies reporting PLR in critically ill adult patients admitted for non-traumatic reasons. Studies included cohort studies, case-control studies, and sufficiently large case series (n≥5 with ICU context) reporting incidence or detailed clinical data. Two reviewers independently screened studies, extracted data, and assessed the risk of bias using the Newcastle-Ottawa Scale (NOS). Pooled incidence of PLR, associated conditions, and final visual acuity (logMAR) were synthesized. A random-effects model was used for meta-analysis due to anticipated heterogeneity. Results: 6 studies met the full eligibility criteria for quantitative synthesis, encompassing 960 critically ill patients from various ICU settings. The included studies were predominantly retrospective cohorts with moderate overall quality (median NOS score 7, range 6-8). The pooled estimated incidence of PLR in the evaluated non-traumatic critically ill populations was 3.4% (95% Confidence Interval [CI]: 2.1% - 5.5%), exhibiting substantial heterogeneity (I² = 80%, p < 0.001). The most frequently reported associated conditions were severe acute pancreatitis (reported in 4/6 studies) and sepsis/septic shock (4/6 studies). Other identified associations included acute kidney injury requiring renal replacement therapy, HELLP syndrome in post-partum patients admitted to ICU, and systemic lupus erythematosus/antiphospholipid syndrome flares requiring intensive care. Visual outcomes were generally poor; the pooled mean final best-corrected visual acuity (BCVA) was 0.85 logMAR (approx. Snellen 20/140; 95% CI: 0.65 - 1.05 logMAR), again with significant heterogeneity (I² = 75%). Approximately 45% of affected eyes had a final BCVA of less than 20/200. Conclusion: Purtscher-like retinopathy represented a notable, albeit relatively uncommon, complication among heterogeneous populations of critically ill patients admitted for non-traumatic conditions. It was most frequently associated with severe systemic inflammatory states such as acute pancreatitis and sepsis. Increased awareness and ophthalmoscopic screening in high-risk ICU patients may be warranted. The observed heterogeneity highlights the need for larger prospective studies with standardized diagnostic and reporting criteria.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.085
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.750
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.085
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0120.002
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.200
GPT teacher head0.546
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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