What does this research mean for the field?

Data-driven cluster analysis reveals that Black/African Americans have a distinct distribution of type 2 diabetes subtypes compared to White individuals, characterized by a higher prevalence of severe insulin-deficient diabetes (SIDD) and associated complications. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.SUPPORTS_CONSENSUS.

October 4, 2024The Journal of Clinical Endocrinology & Metabolism

Severe insulin-deficient diabetes in Black Americans is associated with higher complication risks compared to Whites.

Q: What is the clinical evidence from this study?

Study design: Editorial. Population: Type 2 diabetes mellitus (n=1207). Intervention: Severe insulin-deficient diabetes (SIDD) subtype vs. White individuals or other diabetes subtypes. Primary outcome: Risk of cardiovascular disease, chronic kidney disease, and metabolic-associated steatotic liver disease.

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Why the study?

T2DM is phenotypically heterogeneous with distinct subtypes that vary by racial background, but most studies lack racial and ethnic diversity to apply findings broadly.

Does data-driven cluster analysis identify distinct diabetes subtypes and complication risks in Black/African Americans compared to White individuals?

Population

1,207 Black/African Americans with diabetes in the Deep South of the United States

Comparison

Diabetes subtypes in Black/African Americans vs White individuals

Design

Retrospective data-driven cluster analysis study

Key result

Data-driven cluster analysis in Black/African Americans identified a higher prevalence of severe insulin-deficient diabetes, which was associated with higher complication risks compared to Whites.

Authors

PKPunith Kempegowda ICIRIS A. CASTRO-REVOREDO GUGuillermo E. Umpierrez

Discussion

Member takes

Overview

May explain variable T2DM responses; leaves open prospective validation before guiding care.

Structured PICO

Does data-driven cluster analysis identify distinct diabetes subtypes and complication risks in Black/African Americans compared to White individuals?

Population

1,207 Black/African American patients with diabetes who had comprehensive data for 6 clinical parameters, identified retrospectively from a screened population of 89,875.

Exposure

Data-driven cluster analysis based on 6 clinical parameters to identify diabetes subtypes.

Comparator

White individuals with diabetes.

Outcome

Distribution and characteristics of diabetes subtypes, including risk of cardiovascular disease, chronic kidney disease, and metabolic-associated steatotic liver disease.

Data-driven cluster analysis identifies distinct diabetes subtypes in Black/African Americans, highlighting a higher prevalence of severe insulin-deficient diabetes and associated cardiovascular and renal risks compared to White individuals.

Limitations

Retrospective design based on International Classification of Diseases codes.
Only 1,207 (1.3%) of 89,875 screened patients had comprehensive data covering all 6 required clinical parameters.
Anti-GAD antibodies were tested in only a minority of cases.
Other autoantibodies and indicators of insulin deficiency were not systematically documented.
Retrospective design based on International Classification of Diseases codes
Only 1207 (1.3% of the screened population) had comprehensive data covering all 6 required clinical parameters
Anti-GAD antibodies were tested in only a minority of cases
Other autoantibodies and indicators of insulin deficiency were not systematically documented

Cite This Study

Kempegowda et al. (2024) conducted an editorial in Type 2 diabetes mellitus (n=1,207). Severe insulin-deficient diabetes (SIDD) subtype vs. White individuals or other diabetes subtypes was evaluated on Risk of cardiovascular disease, chronic kidney disease, and metabolic-associated steatotic liver disease. Data-driven cluster analysis in Black/African Americans identified a higher prevalence of severe insulin-deficient diabetes, which was associated with higher complication risks compared to Whites.

synapsesocial.com/papers/6aab48eadc93e52ac06e602e https://doi.org/10.1210/clinem/dgae680

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October 4, 2024The Journal of Clinical Endocrinology & Metabolism

Severe insulin-deficient diabetes in Black Americans is associated with higher complication risks compared to Whites.

View Full Paper

Ask AI

Bookmark

Why the study?

T2DM is phenotypically heterogeneous with distinct subtypes that vary by racial background, but most studies lack racial and ethnic diversity to apply findings broadly.

Does data-driven cluster analysis identify distinct diabetes subtypes and complication risks in Black/African Americans compared to White individuals?

Population

1,207 Black/African Americans with diabetes in the Deep South of the United States

Comparison

Diabetes subtypes in Black/African Americans vs White individuals

Design

Retrospective data-driven cluster analysis study

Key result

Data-driven cluster analysis in Black/African Americans identified a higher prevalence of severe insulin-deficient diabetes, which was associated with higher complication risks compared to Whites.

Authors

PKPunith Kempegowda ICIRIS A. CASTRO-REVOREDO GUGuillermo E. Umpierrez

Discussion

Member takes

Overview

May explain variable T2DM responses; leaves open prospective validation before guiding care.

Structured PICO

Does data-driven cluster analysis identify distinct diabetes subtypes and complication risks in Black/African Americans compared to White individuals?

Population

1,207 Black/African American patients with diabetes who had comprehensive data for 6 clinical parameters, identified retrospectively from a screened population of 89,875.

Exposure

Data-driven cluster analysis based on 6 clinical parameters to identify diabetes subtypes.

Comparator

White individuals with diabetes.

Outcome

Distribution and characteristics of diabetes subtypes, including risk of cardiovascular disease, chronic kidney disease, and metabolic-associated steatotic liver disease.

Limitations

Retrospective design based on International Classification of Diseases codes.
Only 1,207 (1.3%) of 89,875 screened patients had comprehensive data covering all 6 required clinical parameters.
Anti-GAD antibodies were tested in only a minority of cases.
Other autoantibodies and indicators of insulin deficiency were not systematically documented.
Retrospective design based on International Classification of Diseases codes
Only 1207 (1.3% of the screened population) had comprehensive data covering all 6 required clinical parameters
Anti-GAD antibodies were tested in only a minority of cases
Other autoantibodies and indicators of insulin deficiency were not systematically documented

Cite This Study

synapsesocial.com/papers/6aab48eadc93e52ac06e602e https://doi.org/10.1210/clinem/dgae680

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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