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International Multi-Specialty Delphi Survey: Identification of Diagnostic Criteria for Hepatic and Renal Cyst
Insights
Physicians developed a diagnostic algorithm for cyst infections in autosomal dominant polycystic kidney disease and polycystic liver disease. This expert consensus tool aids in diagnosing hepatic and renal cyst infections.
Area of Science:
- Nephrology and Hepatology
- Infectious Diseases
- Medical Imaging
Background:
- Cyst infection is a known complication of autosomal dominant polycystic kidney disease (ADPKD) and polycystic liver disease (PLD).
- Current diagnostic methods rely on a combination of clinical, laboratory, and imaging findings, but the precise importance of each criterion remains unclear.
- There is a need for standardized diagnostic criteria to improve the accuracy and efficiency of cyst infection diagnosis.
Purpose of the Study:
- To establish expert consensus on the diagnostic criteria for hepatic and renal cyst infections in patients with ADPKD and PLD.
- To develop a reliable diagnostic algorithm for cyst infections based on the collective expertise of physicians.
Main Methods:
- A Delphi survey was conducted among physicians specializing in nephrology, hepatology, nuclear medicine, and infectious diseases.
- Potential diagnostic items were identified through literature review and physician/patient interviews.
- Physicians rated the diagnostic helpfulness of 59 items across three rounds using a 9-point scale, with consensus determined by a disagreement index.
Main Results:
- A panel of 35 physicians from 11 countries participated, with 30 completing all three rounds.
- Consensus was reached on 22 hepatic and 26 renal items deemed appropriate for diagnosing cyst infections.
- Key appropriate items included positive blood cultures and fluorodeoxyglucose positron-emission CT (FDG-PET/CT) imaging, while ultrasonography and absence of intracystic bleeding were rated as uncertain or inappropriate.
Conclusions:
- An expert-based diagnostic algorithm for hepatic and renal cyst infections was developed, incorporating consensus-derived criteria.
- This algorithm aims to assist physicians in the diagnostic work-up of cyst infections.
- Further validation through prospective studies is recommended to confirm the algorithm's efficacy.
Background:
Cyst infection is one of the complications of autosomal dominant polycystic kidney disease and polycystic liver disease. The diagnosis is typically made on a mix of clinical, laboratory and imaging abnormalities but the importance of individual items is uncertain. We aimed to perform a Delphi survey amongst physicians to achieve consensus on diagnostic criteria.
Methods:
We retrieved diagnostic items from the literature and conducted physician and patient interviews. All items were combined to create the online questionnaire. Participants rated each item during 3 consecutive rounds. Items were rated for diagnostic helpfulness for hepatic and renal cyst infection on a 9-point scale with anchors, from extremely unimportant (n = 1) to extremely important (n = 9). We determined consensus with the disagreement index. The median rating of each item was calculated and categorized into inappropriate (≤3.4), uncertain (3.5-6.4) or appropriate (≥6.5). By combining all items that reached an appropriate consensus rating, we developed a diagnostic algorithm based on expert consensus.
Results:
We invited 58 physicians to participate in the survey. In total, 35 (60%) responded to round 1 of which 91% (n = 32) and 86% (n = 30) responded to round 2 and 3, respectively. The final panel included 23 nephrologists, 5 hepatologists, a nuclear medicine specialist and an infectious disease physician from 11 countries (male 67%, mean age 47 ± 11 years, median clinical experience 21 years). The panel rated the diagnostic helpfulness of 59 potential items. Ultimately, 22 hepatic and 26 renal items were rated appropriate, including positive blood cultures and fluorodeoxyglucose positron-emission CT imaging. Ultrasonography and absence of intracystic bleeding were amongst those deemed uncertain or inappropriate. Subsequently, by combining items rated appropriate, we developed a clinical tool to diagnose hepatic and renal cyst infection.
Conclusions:
We identified diagnostic items for hepatic and renal cyst infection and developed an expert-based diagnostic algorithm, which may aid physicians in the diagnostic work-up. A prospective study is necessary to validate this algorithm.
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