Factors Associated with Acute Kidney Injury in Community-Acquired Pneumonia: Development of a Probabilistic Clinical Model

Authors

  • Carolina Teles Serviço de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portuga https://orcid.org/0000-0001-7992-6831
  • Ana Magalhães Serviço de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
  • Tiago Dias da Costa Serviço de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
  • Cátia Barra Serviço de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
  • Ana Luísa Silva Serviço de Cardiologia, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
  • Fernando Albuquerque Serviço de Reumatologia, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
  • Elsa Gaspar Serviço de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
  • Lèlita Santos Serviço de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal https://orcid.org/0000-0002-0761-5097

DOI:

https://doi.org/10.24950/rspmi.1401

Keywords:

Acute Kidney Injury/diagnosis, Acute Kidney Injury/etiology, Community-Acquired Infections/complications, Pneumonia/complications, Prognosis

Abstract

Introduction: Acute kidney injury (AKI) is a frequent complication of community-acquired pneumonia (CAP). Nonetheless, the underlying pathophysiology is not fully understood.
Certain factors have shown association with increased risk,
but there is still data lacking. The main objective of this study
was to identify factors associated with AKI in CAP.

Methods: We conducted a retrospective study in patients
with confirmed CAP, admitted to an Internal Medicine department within a period of 1 year, presenting with or without AKI on admission. We performed comparative statistics between non-AKI and AKI patients, univariate and multivariable logistic regression with odds ratio (OR) calculation, and survival analysis.

Results: This study included 578 patients, of which 52.4%
were male, had a mean age of 81.70±11.54 years, and 41.3% had AKI. The mean age was higher in the AKI group (p<0.001), with no differences for gender. In the univariate analysis, several comorbidities, drugs, diastolic blood pressure and
some gasometric parameters showed association with AKI.
The multivariable analysis selected seven variables as independent associated factors: age (OR 1.027), hyperuricemia
(OR 1.990), chronic kidney disease (OR 3.138), diuretic (OR
1.555), statin (OR 1.805), diastolic blood pressure (OR 0.978)
and serum lactate (OR 1.350), enabling the development of an
AKI probabilistic model with a specificity of 81.1%.

Conclusion: This study confirmed previous findings and
identified new factors associated with AKI, namely serum lactate. The multivariable model represents a starting point for the creation of true predictive indexes of AKI in CAP with clinical applicability and impact on the therapeutic approach and prognosis.

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Published

2023-06-29

How to Cite

1.
Teles C, Magalhães A, Dias da Costa T, Barra C, Silva AL, Albuquerque F, Gaspar E, Santos L. Factors Associated with Acute Kidney Injury in Community-Acquired Pneumonia: Development of a Probabilistic Clinical Model. RPMI [Internet]. 2023 Jun. 29 [cited 2024 May 20];30(2):73-80. Available from: https://revista.spmi.pt/index.php/rpmi/article/view/1401

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