Indonesian
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)
European Review for Medical and Pharmacological Sciences 2015-Oct

Predictors of Crimean-Congo hemorrhagic fever in the Emergency Department.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
A K Erenler
F Kulaksiz
H Ülger
M Çapraz
L Tomak
A Baydin

Kata kunci

Abstrak

OBJECTIVE

Crimean-Congo hemorrhagic fever (CCHF) is an acute illness affecting multiple organ systems characterized by thrombocytopenia, and/or leukopenia, elevated levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH) and creatine kinase (CK) and it has a case-fatality of 8% to 80%. In this article, we aimed to determine the clinical and laboratory findings that predicts the disease on admission.

METHODS

We retrospectively analyzed the medical data of the patients admitted to our emergency department (ED) due to tick bite. These patients were divided into two groups according to their transcriptase-polymerase chain reaction (RT-PCR) test results. Findings of PCR (+) (Group 1) and PCR (-) (Group 2) patients were compared.

RESULTS

Epistaxis was found to be statistically significant clinical finding in Group 1. Also, while aspartate transaminase (AST) levels and potassium (K) level were significantly higher, platelet count and white blood count (WBC) were significantly lower in Group 1 when compared to Group 2.

CONCLUSIONS

Predictors of CCHF in the ED are epistaxis, leukopenia, thrombocytopenia and elevated K and AST levels. In our study, the fatality rate of CCHF was found to be 21.6%.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge