Microorganisms Isolated from Respiratory Intensive Care Unit and the Change of Antibiotic Resistance Status By Years And Its Effect On Mortality

Hamdiye Turan; Cengizhan Sezgi; Cetin Tanrikulu

Makale detayları

Microorganisms Isolated from Respiratory Intensive Care Unit and the Change of Antibiotic Resistance Status By Years And Its Effect On Mortality

Yazarlar:

Hamdiye Turan | Cengizhan Sezgi | Cetin Tanrikulu

Yayıncı:

Harran University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

Harran Üniversitesi Tıp Fakültesi Dergisi Vol.20 Issue 3, pp.485-493

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298505

pISSN:

1304-9623

Anahtar kelimeler:

Özet:

 BACKGROUND: Intensive care units ICU are multidisciplinary departments where patients with life-threatening diseases, major surgical interventions, respiratory failure, coma condition, hemodynamic insufficiency, and 1 organ failure are admitted for relevant diagnoses and treatment. AIM: The present study sought to investigate pathogens causing infections in patients admitted to our respiratory ICU and their antibiotic resistance patterns. MATERİALS and METHOD: The antibiogram results and clinical data of all patient samples submitted between January 1, 2008, and December 31, 2010, were retrospectively reviewed. RESULT: In total, 248 patients with 561 culture results were included in the study. Microbial growth was detected in the following samples: blood, 336 59.9; deep tracheal aspirate, 104 18.6; urine, 89 15.9; wound drain, 12 2.1; central venous catheter liquid, 7 1.3; phlegm, 10 1.8; Foley tip liquid, 1 0.2; and pleural effusion, and 1 0.2. Rapid growth was most frequently noted in the cultures of coagulase-negative staphylococci 25.3, Acinetobacter spp. 23.1, and Escherichia coli 12.6. STATISTICAL ANALYSIS Descriptive statistics for continuous variables were expressed as means and standard deviations. The intermittent variables were converted into cross-tables and analyzed using Fishers exact and Pearsons chi-square tests. The normal distribution of the study data was assessed using KolmogorovSmirnov test. The mean values of the variables were analyzed using Students t-test. Bidirectional hypotheses were used, and a p-value of 0.05 was considered statistically significant. The IBM Statistical Package for the Social Sciences Ver. 18.0 for Windows SPSS Inc., Chicago, IL, USA software was used for statistical analyses. IN CONCLUSION, the present study revealed microorganisms resistance profiles similar to those of other relevant studies. The study provides important insights into the selection of empiric antibiotic therapy for patients admitted in intensive care unit. Keywords: respiratory intensive care unit, intensive care infections, antibiotic resistance, antibiotic susceptibility.

 BACKGROUND: Intensive care units ICU are multidisciplinary departments where patients with life-threatening diseases, major surgical interventions, respiratory failure, coma condition, hemodynamic insufficiency, and 1 organ failure are admitted for relevant diagnoses and treatment. AIM: The present study sought to investigate pathogens causing infections in patients admitted to our respiratory ICU and their antibiotic resistance patterns. MATERİALS and METHOD: The antibiogram results and clinical data of all patient samples submitted between January 1, 2008, and December 31, 2010, were retrospectively reviewed. RESULT: In total, 248 patients with 561 culture results were included in the study. Microbial growth was detected in the following samples: blood, 336 59.9; deep tracheal aspirate, 104 18.6; urine, 89 15.9; wound drain, 12 2.1; central venous catheter liquid, 7 1.3; phlegm, 10 1.8; Foley tip liquid, 1 0.2; and pleural effusion, and 1 0.2. Rapid growth was most frequently noted in the cultures of coagulase-negative staphylococci 25.3, Acinetobacter spp. 23.1, and Escherichia coli 12.6. STATISTICAL ANALYSIS Descriptive statistics for continuous variables were expressed as means and standard deviations. The intermittent variables were converted into cross-tables and analyzed using Fishers exact and Pearsons chi-square tests. The normal distribution of the study data was assessed using KolmogorovSmirnov test. The mean values of the variables were analyzed using Students t-test. Bidirectional hypotheses were used, and a p-value of 0.05 was considered statistically significant. The IBM Statistical Package for the Social Sciences Ver. 18.0 for Windows SPSS Inc., Chicago, IL, USA software was used for statistical analyses. IN CONCLUSION, the present study revealed microorganisms resistance profiles similar to those of other relevant studies. The study provides important insights into the selection of empiric antibiotic therapy for patients admitted in intensive care unit. Keywords: respiratory intensive care unit, intensive care infections, antibiotic resistance, antibiotic susceptibility.

 BACKGROUND: Intensive care units ICU are multidisciplinary departments where patients with life-threatening diseases, major surgical interventions, respiratory failure, coma condition, hemodynamic insufficiency, and 1 organ failure are admitted for relevant diagnoses and treatment. AIM: The present study sought to investigate pathogens causing infections in patients admitted to our respiratory ICU and their antibiotic resistance patterns. MATERİALS and METHOD: The antibiogram results and clinical data of all patient samples submitted between January 1, 2008, and December 31, 2010, were retrospectively reviewed. RESULT: In total, 248 patients with 561 culture results were included in the study. Microbial growth was detected in the following samples: blood, 336 59.9; deep tracheal aspirate, 104 18.6; urine, 89 15.9; wound drain, 12 2.1; central venous catheter liquid, 7 1.3; phlegm, 10 1.8; Foley tip liquid, 1 0.2; and pleural effusion, and 1 0.2. Rapid growth was most frequently noted in the cultures of coagulase-negative staphylococci 25.3, Acinetobacter spp. 23.1, and Escherichia coli 12.6. STATISTICAL ANALYSIS Descriptive statistics for continuous variables were expressed as means and standard deviations. The intermittent variables were converted into cross-tables and analyzed using Fishers exact and Pearsons chi-square tests. The normal distribution of the study data was assessed using KolmogorovSmirnov test. The mean values of the variables were analyzed using Students t-test. Bidirectional hypotheses were used, and a p-value of 0.05 was considered statistically significant. The IBM Statistical Package for the Social Sciences Ver. 18.0 for Windows SPSS Inc., Chicago, IL, USA software was used for statistical analyses. IN CONCLUSION, the present study revealed microorganisms resistance profiles similar to those of other relevant studies. The study provides important insights into the selection of empiric antibiotic therapy for patients admitted in intensive care unit. Keywords: respiratory intensive care unit, intensive care infections, antibiotic resistance, antibiotic susceptibility.

 ÖZET: GİRİŞ :Yoğun bakım üniteleri YBÜ, yaşamı tehdit eden hastalıkları, büyük cerrahi girişimleri, solunum yetmezliği, koma durumu, hemodinamik yetmezliği ve 1 organ yetmezliği olan hastaların ilgili tanı ve tedavi için kabul edildiği multidisipliner bölümlerdir. AMAÇ: Bu çalışma, solunum yoğun bakım ünitemize kabul edilen hastalarda enfeksiyonlara neden olan patojenleri ve antibiyotik direnç modellerini araştırmayı amaçladı. MATERYAL VE METOD: 1 Ocak 2008 ile 31 Aralık 2010 tarihleri arasında sunulan tüm hasta örneklerinin antibiyogram sonuçları ve klinik verileri retrospektif olarak incelendi. İSTATİSTİK: Sürekli değişkenler için tanımlayıcı istatistikler, ortalama ve standart sapma olarak ifade edildi. Kesintili değişkenler çapraz tablolara dönüştürüldü ve Fisherin kesinliği ve Pearsonun ki-kare testleri kullanılarak analiz edildi. Çalışma verilerinin normal dağılımı Kolmogorov-Smirnov testi ile değerlendirildi. Değişkenlerin ortalama değerleri Student t-testi kullanılarak analiz edildi. Çift yönlü hipotezler kullanıldı ve p 0,05 değeri istatistiksel olarak anlamlı kabul edildi. Sosyal Bilimler için IBM İstatistik Paketi Ver. İstatistiksel analizler için Windows için 18.0 SPSS Inc., Chicago, IL, ABD yazılımı kullanıldı. SONUÇ: Toplamda 561 kültür sonucu olan 248 hasta çalışmaya dahil edildi. Aşağıdaki örneklerde mikrobiyal üreme tespit edildi: kan, 336 59,9; derin trakeal aspirasyon, 104 18.6; idrar, 89 15.9; yara drenajı, 12 2,1; santral venöz kateter sıvısı, 7 1,3; balgam, 10 1.8; Foley uçlu sıvı, 1 0,2; ve plevral efüzyon ve 1 0.2. Hızlı üreme en sık olarak koagülaz negatif stafilokok 25,3, Acinetobacter spp. 23,1 ve Escherichia coli 12,6. Sonuç olarak, bu çalışma mikroorganizmaların direnç profillerini ilgili diğer çalışmalara benzer şekilde ortaya koymuştur. Çalışma, yoğun bakım ünitesine kabul edilen hastalar için ampirik antibiyotik tedavisinin seçimine ilişkin önemli bilgiler sunmaktadır. Anahtar Kelimeler: Solunum yoğun bakım ünitesi, yoğun bakım enfeksiyonları, antibiyotik direnci, antibiyotik duyarlılığı.

Makale detayları

Microorganisms Isolated from Respiratory Intensive Care Unit and the Change of Antibiotic Resistance Status By Years And Its Effect On Mortality

Yazarlar:

Hamdiye Turan | Cengizhan Sezgi | Cetin Tanrikulu

Yayıncı:

Harran University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

Harran Üniversitesi Tıp Fakültesi Dergisi Vol.20 Issue 3, pp.485-493

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298505

pISSN:

1304-9623

respiratory intensive care unit,

intensive care infections,

antibiotic resistance

antibiotic susceptibilitySolunumsal yoğun bakım ünitesi

yoğun bakım enfeksiyonları

antibiyotik direnci

antibiyotik duyarlılığı.

Sayı

Makale detayları

Yazarlar: Hamdiye Turan | Cengizhan Sezgi | Cetin Tanrikulu

Yayıncı: Harran University

Ana Başlıklar: Klinik Tıp Bilimleri

Dergi: Harran Üniversitesi Tıp Fakültesi Dergisi Vol.20 Issue 3, pp.485-493

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001298505

pISSN: 1304-9623

Sayı

Yazarlar:

Hamdiye Turan | Cengizhan Sezgi | Cetin Tanrikulu

Yayıncı:

Harran University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

Harran Üniversitesi Tıp Fakültesi Dergisi Vol.20 Issue 3, pp.485-493

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001298505

pISSN:

1304-9623