Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Archivio Italiano di Urologia Andrologia 2017-Jun

Predictive factors for stone disease in patients with renal colic.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Hakan Türk
Sıtkı Ün

Palavras-chave

Resumo

BACKGROUND

Many patients present to urology and emergency departments for acute renal colic complaints. There are many different imaging studies that can be used in patients with a pre-diagnosis of acute renal colic. In this study, we would like to assess the efficacy of using clinical and laboratory results in patients with flank pain complaint as a predictive factor of urinary system stone disease.

METHODS

All patients were assessed using spinal non-contrast complete abdominal computerized tomography and urine analysis. Presence of stones and their number and size were recorded.

RESULTS

516 patients who were included in the study were divided into 2 groups according to urinary stone presence. Group 1 (n = 388) consisted of patients with stones meanwhile patients in Group 2 (n = 128) were stone-free. According to these results, male sex, presence of microscopic hematuria, stone history in the family, nausea and emesis in addition to pain and accompanying urinary symptoms were detected as predictive factors in diagnosing urinary stone disease by multivariate analysis.

CONCLUSIONS

From our study results, we can conclude that uroflowmetry is a very useful tool in monitoring lower urinary system complaints.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge