Nursing diagnoses for hemodialytic patients: integrative review / Diagnósticos de enfermagem para pacientes hemodialíticos: revisão integrativa / Diagnósticos de enfermería para pacientes hemodiálticos: revisión integrativa

Brezolin, Cristhian Antônio; Lima, Márcia Valéria Rosa; Seidel, Eduarda Nunes; Mendonça, Hugo Santos Lemos de

doi:10.26694/2238-7234.8161-67

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…Integrity" (23). Bleeding Risk, which is among the most determined diagnoses in hemodialysis patients, depends on the use of anticoagulants during hemodialysis (24).…”

Section: Discussionmentioning

confidence: 99%

Nursing Care of a Patient with Chronic Kidney Failure in Intensive Care Unit, According to Riehl’s Symbolic Interaction Model: A Case Report

KALAYCI,

OLGUN

2023

Artuklu International Journal of Health Sciences

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Introduction: Chronic kidney failure is one of the common health problems in the world and in Turkey. Hemodialysis is one of the most widely used renal replacement therapies. Riehl's Symbolic Interaction Model, on the other hand, is based on the interaction between the nurse and the patient. In this case report, nursing care was planned for a patient diagnosed with chronic kidney failure, who was treated in the intensive care unit and on mechanical ventilation support, within the scope of Riehl's Symbolic Interaction Model. Case report: H.D. is a 66-year-old female patient. The patient, who was on hemodialysis, was brought to the emergency room by ambulance with complaints such as impaired consciousness, extreme weakness, inability to speak, and respiratory distress at home after dialysis. The patient was admitted to the tertiary intensive care unit because of the diagnosis of chronic kidney failure and the need for hemodialysis. Conclusion: It is thought that the nursing diagnoses determined in line with Riehl's Symbolic Interaction Model and the interventions applied in this direction contribute to the nursing care of the patient who needs hemodialysis and receives mechanical ventilation support.

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“…Integrity" (23). Bleeding Risk, which is among the most determined diagnoses in hemodialysis patients, depends on the use of anticoagulants during hemodialysis (24).…”

Section: Discussionmentioning

confidence: 99%

Nursing Care of a Patient with Chronic Kidney Failure in Intensive Care Unit, According to Riehl’s Symbolic Interaction Model: A Case Report

KALAYCI,

OLGUN

2023

Artuklu International Journal of Health Sciences

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“…Patients using Arteriovenous Fistula (AVF) had a higher frequency of the risk for bleeding. This fact is justified by the numerous venipunctures associated with anticoagulation with heparin in the dialysis system, in addition to changes resulting from the pathophysiology of kidney disease itself [21][22] .…”

Section: Such Diagnoses Signify Priority Nursing Attentionmentioning

confidence: 99%

Factors associated with nursing diagnoses in chronic kidney patients: a cross-sectional study

et al. 2021

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Introducción: Al plan de cuidados, los enfermeros deben utilizar el proceso de enfermería y adoptar sus perspectivas, cognitivas y documentales, considerando las respuestas humanas de cada paciente con enfermedad renal crónica, para definir los diagnósticos, resultados e intervenciones de enfermería. Este estudio tiene como objetivo analizar los diagnósticos de enfermería de la NANDA-I en pacientes renales crónicos y su asociación con variables clínicas y sociodemográficas. Materiales y Métodos: Estudio analítico de corte transversal, realizado con pacientes renales crónicos en hemodiálisis. La población de estudio consistió en 177 prontuarios de pacientes con enfermedad renal crónica. Fueron seleccionados en el período preestablecido de seis meses: julio a diciembre de 2018. Se utilizó la plataforma Google Forms® para importar los datos directamente al programa Microsoft Excel® mediante la generación de una hoja electrónica que permitió organizar los datos, esta fue luego transcrito al software Stata 14.0 para realizar los análisis estadísticos. Resultados: El diagnóstico riesgo de sangrado mostró una diferencia significativa con la variable vía de acceso (p = 0.02); riesgo de caídas fue asociado con las variables edad, ocupación, educación (p <0.01) y volumen excesivo de líquidos con la variable duración del tratamiento (p = 0.01). Discusión: En el caso de los diagnósticos de enfermería, estos deben ser planificados y documentados con base en un lenguaje estandarizado de enfermería, con NANDA-I. Conclusión: Los hallazgos de este estudio mostraron los principales diagnósticos de enfermería y su asociación con variables clínicas y sociodemográficas en pacientes renales crónicos en un contexto brasilero. Las investigaciones futuras pueden llevar a implementar planes de cuidado para los diagnósticos de enfermería más prevalentes en este tipo de población. Como citar este artículo: Mercês, André Emanuel Dantas; Marinho, Christielle Lidianne Alencar; Fernandes, Flávia Emília Cavalcante Valença; Carvalho, Evanilda Souza de Santana; Cañon-Montañez, Wilson; Silva, Rudval Souza da. Factors associated with nursing diagnoses in chronic kidney patients: a cross-sectional study. 2021;12(3):e2160. http://dx.doi.org/10.15649/cuidarte.2160

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“…In Brazil, the prevalence of fluid overload in hemodialysis patients is greater than 80% (4) , standing out as the most cited problem (5) . In a study with a large retrospective sample, with 5,081 adult hemodialysis patients in 23 dialysis centers in Brazil, it was identified that fluid overload was observed in 45% of patients (6) .…”

Section: Introductionmentioning

confidence: 99%

Predictors of excess fluid volume in hemodialysis patients: an observational study

Fernandes,

Tinôco,

Fernandes

et al. 2024

Rev. Bras. Enferm.

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Objectives: to assess risk factors for excess fluid volume in hemodialysis patients. Methods: a retrospective case-control study was conducted. A total of 392 patients (196 cases and 196 controls) from two hemodialysis centers were included. Sociodemographic data and 23 risk factors for excess fluid volume were assessed using a data collection form. Data were analyzed using a multivariate logistic regression model. Results: the insufficient knowledge (OR=2.06), excessive fluid intake (OR=2.33), inadequate fluid removal during hemodialysis (OR=2.62) and excessive sodium intake (OR=1.91) risk factors may increase the chance of occurrence of excess fluid volume in hemodialysis patients by approximately two times. Education level (OR=0.95) and age (OR=0.97) are protective factors for excessive fluid volume. Conclusions: knowing these risk factors may help nurses with accurate and rapid diagnostic inference of the risk of excessive fluid volume.

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Nursing diagnoses for hemodialytic patients: integrative review / Diagnósticos de enfermagem para pacientes hemodialíticos: revisão integrativa / Diagnósticos de enfermería para pacientes hemodiálticos: revisión integrativa

Cited by 6 publications

References 5 publications

Nursing Care of a Patient with Chronic Kidney Failure in Intensive Care Unit, According to Riehl’s Symbolic Interaction Model: A Case Report

Nursing Care of a Patient with Chronic Kidney Failure in Intensive Care Unit, According to Riehl’s Symbolic Interaction Model: A Case Report

Factors associated with nursing diagnoses in chronic kidney patients: a cross-sectional study

Predictors of excess fluid volume in hemodialysis patients: an observational study

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