Latvian
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)
Journal of Paediatrics and Child Health 2013-Mar

C-reactive protein versus erythrocyte sedimentation rate, white blood cell count and alkaline phosphatase in diagnosing bacteraemia in bone and joint infections.

Rakstu tulkošanu var veikt tikai reģistrēti lietotāji
Ielogoties Reģistrēties
Saite tiek saglabāta starpliktuvē
Markus Pääkkönen
Markku J T Kallio
Pentti E Kallio
Heikki Peltola

Atslēgvārdi

Abstrakts

OBJECTIVE

Bacteraemia is common in childhood acute bone and joint infections and demands urgent treatment. Blood C-reactive protein (CRP), erythrocyte sedimentation rate and white blood cell count (WBC) are well known and established markers in these infections. Instead, no information is available on serum alkaline phosphatase whose concentration is known to increase in septic conditions.

METHODS

In our large prospective treatment trial comprising of 265 children with acute culture-positive bone or joint infection, all these laboratory indices were monitored on admission to hospital. The predictive value to detect bacteraemia was assessed for each of these four indices.

RESULTS

In all, 59% of the patients showed bacteraemia. CRP was significantly (P < 0.05) higher among bacteraemic patients, whereas erythrocyte sedimentation rate, white blood cell count and alkaline phosphatase were not. The area under receiver operator characteristic curve for CRP was 0.588 (CI95% 0.524-0.649) and the significance level P (Area = 0.5) was <0.05.

CONCLUSIONS

None of the markers could reliably diagnose bacteraemia. CRP alone was significantly higher among bacteraemic patients.

Pievienojieties mūsu
facebook lapai

Vispilnīgākā ārstniecības augu datu bāze, kuru atbalsta zinātne

  • Darbojas 55 valodās
  • Zāļu ārstniecības līdzekļi, kurus atbalsta zinātne
  • Garšaugu atpazīšana pēc attēla
  • Interaktīva GPS karte - atzīmējiet garšaugus atrašanās vietā (drīzumā)
  • Lasiet zinātniskās publikācijas, kas saistītas ar jūsu meklēšanu
  • Meklēt ārstniecības augus pēc to iedarbības
  • Organizējiet savas intereses un sekojiet līdzi jaunumiem, klīniskajiem izmēģinājumiem un patentiem

Ierakstiet simptomu vai slimību un izlasiet par garšaugiem, kas varētu palīdzēt, ierakstiet zāli un redziet slimības un simptomus, pret kuriem tā tiek lietota.
* Visa informācija ir balstīta uz publicētiem zinātniskiem pētījumiem

Google Play badgeApp Store badge