Bosnian
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)
American Journal of Tropical Medicine and Hygiene 1992-Oct

Rapid in vivo detection of chloroquine resistance by the Quantitative Buffy Coat Malaria Diagnosis System.

Samo registrirani korisnici mogu prevoditi članke
Prijavite se / prijavite se
Veza se sprema u međuspremnik
B Garin
J J Salun
F Peyron
J P Vigier
I Busangu
J Perrone

Ključne riječi

Sažetak

The use of the Giemsa-stained thick blood smear for the diagnosis of malaria has not been supplanted since the discovery of the parasite by A. Laveran in 1880. Recently, a new direct diagnosis technique, the Quantitative Buffy Coat (QBC)* Malaria Diagnosis System, has been developed. We compared this technique with the thick blood smear diagnosis in a study of the efficacy of chloroquine therapy in Zaire. A total of 815 subjects were screened; 71 participated in the trial. They were given chloroquine at a dose of 25 mg/kg of body weight over three days and were examined for parasitemia two and seven days after treatment. Chloroquine resistance was detected in 38% of the subjects by thick blood smear and in 45% by the QBC test. Of greater interest was the time required for each diagnosis: an average of 17 min was required to examine microscopic fields with 1,000 leukocytes by thick blood smear analysis compared with less than one min by the QBC system. In addition, we did not observe diminished attention from fatigue by microscopists using the QBC system despite the large number of tests conducted. We conclude that the QBC system is an important tool for studies of drug resistance.

Pridružite se našoj
facebook stranici

Najkompletnija baza ljekovitog bilja potpomognuta naukom

  • Radi na 55 jezika
  • Biljni lijekovi potpomognuti naukom
  • Prepoznavanje biljaka po slici
  • Interaktivna GPS karta - označite bilje na lokaciji (uskoro)
  • Pročitajte naučne publikacije povezane sa vašom pretragom
  • Pretražite ljekovito bilje po učincima
  • Organizirajte svoja interesovanja i budite u toku sa istraživanjem vijesti, kliničkim ispitivanjima i patentima

Upišite simptom ili bolest i pročitajte o biljkama koje bi mogle pomoći, unesite travu i pogledajte bolesti i simptome protiv kojih se koristi.
* Sve informacije temelje se na objavljenim naučnim istraživanjima

Google Play badgeApp Store badge