Journals / Journal of Clinical and Analytical Medicine / 2011 / Cilt: 2 - Sayı: 3

The relation between inflammatory markers and pulmonary infiltration in chlamydia pneumonia

Klamidya pnömonisinde enflamasyon belirteçleri ve akciğer infiltrasyonu arasındaki ilişki

Pages
67–69
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Therefore, as a parameter sCRP can be used to evaluate the severity of CPP but larger series are needed to confirm this finding.

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Objective & Hypothesis:Aim We aimed to describe the levels of leucocyte count, erythrocyte sedimentation rate (ESR) and high sensitive C-Reactive Protein (hsCRP), and to investigate the relation of these biomarkers with the ratio of parenchymal infiltration (RPI) in patients with Chlamydia pneumoniae pneumonia (CPP).
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Key Findings & Data:The parenchymal infiltration ratio, given as percent, was calculated from the high resolution computerized tomography (HRCT) images using the following formula: Pulmonary infiltration ratio = number of images showing infiltration in HRCT x 100 / number of all images x 2.
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Conclusion & Impact:Therefore, as a parameter sCRP can be used to evaluate the severity of CPP but larger series are needed to confirm this finding.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Aim We aimed to describe the levels of leucocyte count, erythrocyte sedimentation rate (ESR) and high sensitive C-Reactive Protein (hsCRP), and to investigate the relation of these biomarkers with the ratio of parenchymal infiltration (RPI) in patients with Chlamydia pneumoniae pneumonia (CPP). Material and Methods The diagnosis of CPP was based on serologic testing. Patients with CPP were analyzed the blood leucocyte counts, ESR and hsCRP levels. The parenchymal infiltration ratio, given as percent, was calculated from the high resolution computerized tomography (HRCT) images using the following formula: Pulmonary infiltration ratio = number of images showing infiltration in HRCT x 100 / number of all images x 2. The relation of the extent of the infiltrated lung parenchyma, shown by HRCT, with the leucocyte count, ESR and sCRP was investigated. Results Thirty two patients with CPP were included this study. Increasing levels of blood leucocyte counts in 14 (43.7 %), ESR in 27 (84.3 %) and hsCRP in 26 (81.2 %) patients were observed. High sensitive CRP was moderately but significantly correlated with RPI (r = 0.476, p = 0.006). However, RPI was not significantly correlated with blood leucocyte count and ESR (r = 0,011, p = 0,952 ve r = 0,102, p = 0,580, respectively). Conclusions Although both ESR and hsCRP were useful to detect infection, only hsCRP was correlated with the extent of parenchymal infiltration. Therefore, as a parameter sCRP can be used to evaluate the severity of CPP but larger series are needed to confirm this finding.

Özet

Amaç Chlamydia pneumoniae pnömonili (CPP) hastaların, lökosit, eritrosit sedimentasyon hızı (ESH) ve sensitif C-Reaktif Protein (sCRP) düzeylerini ortaya koymak ve akciğer parankim infiltrasyon oranı (APİO) ile bu biobelirteçlerin ilişkisini araştırmaktır. Gereç ve Yöntemler CPP tanısı serolojik olarak konuldu. CPP’li hastaların kan lökosit düzeyleri, ESH ve sCRP düzeylerine bakıldı. Yüksek çözünürlüklü bilgisayarlı tomografi (YÇBT)’deki akciğer parankiminin infiltrasyon oranı yüzde olarak hesaplandı. Akciğer infiltrasyon yüzdesi aşağıdaki förmüle göre hesaplandı. Akciğer infiltrasyon yüzdesi = YÇBT’de infiltre kesit sayısı x 100 / toplam kesit sayısı x 2 YÇBT incelemesinde etkilenen akciğer parankim alanının büyüklüğüne göre lökosit, ESH ve sCRP ile olan ilişkisi araştırıldı. Bulgular Çalışmaya 32 CPP tanılı hasta alındı. Kan lökosit düzeyi 14 hastada (%43.7), ESH 27 hastada (%84.3) ve sCRP 26 hastada (%81.2) yükselmişti. Sensitif CRP ile APİO arasında orta derecede istatistiksel olarak anlamlı korelasyon saptandı. ( r = 0,476, p = 0,006). Ancak kan lökosit sayımı ve ESH ile APİO arasında istatistiksel olarak anlamlı korelasyon yoktu (sırasıyla; r = 0,011, p = 0,952 ve r = 0,102, p = 0,580). Sonuç Bulgularımıza göre ESH ve sCRP, enfeksiyonu saptamada başarılı olmalarına rağmen, yalnızca sCRP akciğer infiltrasyon düzeyi ile korele bulundu. Bu nedenle sCRP, CPP şiddetini değerlendirmede bir parametre olarak kullanılabilir, ancak bu bulgunun doğrulanması için daha geniş serilere gereksinim vardır.

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Cite This Article

KUNTER, E., ŞEVKETBEYOĞLU, H., ÇELİK, K., AYDIN, A. F., KARTALOĞLU, Z., OKUTAN, O., TAŞ, D., DEMİRER, E. (2022). The relation between inflammatory markers and pulmonary infiltration in chlamydia pneumonia. Journal of Clinical and Analytical Medicine, Cilt: 2 - Sayı: 3, 67–69. https://ajindex.com/articles/561495

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References (10)

  1. Plouffe JF. Importance of atypical pathogens of community-acquired pneumonia. CID, 2000; 31:S35-S39 (Suppl 2
  2. Okada F, Ando Y, Wakisaka M, Matsumoto S, Mori H. Chlamydia pneumoniae Pneumonia and Mycoplasma pneumoniae Pneumonia: Comparison of Clinical Findings and CT Findings. J. Comput. Assist. Tomogr. 2005; 29: 626-632
  3. Reechaipichitkul W, Saelee R, Lulitanond V. Prevalence and clinical features of Chlamydia pneumoniae pneumonia at Srinagarind Hospital, Khon Kaen, Thailand. Southeast Asian J Trop. Med Public Health 2005;36:151- 156 4. Stauble SP, Reichlin S, Dieterle T, Leimenstoll B, Schoenenberger R, Martina B. Community-acquired pneumonia – which patients are hospitalized? Swiss Med Wkly 2001; 131: 188-192
  4. Fine MJ, Auble TE, Yealy DM, Hanusa BH, Weissfeld LA, Singer DE, Coley CM, Marrie TJ, Kapoor WN. A prediction rule to identify low-risk patients with community-acquired pneumonia. N Engl J Med 1997; 336: 243-250
  5. Seppa Y, Bloigu A, Honkanen PO, Miettinen L, Syrjala H. Severity assesment of Lower Respiratory tract infection in elderly patients in primary care. Arch Intern Med. 2001; 161:2709-2713
  6. Samransamruajkit R, Jitchaiwat S, Wachirapaes W, Deerojanawong J, Sritippayawan S, Prapphal N. Prevalence of mycoplasma and chlamydia pneumonia in severe-community-acquired pneumonia among hospitalized children in Thailand. Jpn. J. Infect. Dis. 2008; 61: 36-39
  7. Somer A, Salman N, Yalçın I,Ağaçfidan A. Role of Mycoplasma pneumoniae and Chlamydia pneumoniae in children with community-acquired pneumonia in İstanbul, Turkey. Journal of tropical pediatrics 2006;52: 173-178
  8. Puljiz I, Kuzman I, Dakovic-Rode O, Schonwald N, Mise B. Chlamydia pneumoniae and mycoplasma pneumoniae pneumonia: comparison of clinical, epidemiological characteristics and laboratory profiles. Epidemiol Infect 2006; 134: 548-55 10. Oktem IMA, Ellidokuz H, Sevinc C, Kilinc O, Aksakoglu G, Sayiner A, Ucan ES, Sezgin S, Ozdemir H, Yuksel B. PCR and serology were effective for identififying chlamydophila pneumoniae in a lower respiratory infection outbreak among military recruits. Jpn. J. Infect. Dis. 2007; 60: 97-101
  9. Korppi M, Heiskanen-Kosma T, Leinonen M. White blood cells, c-reactive protein and erythrocyte sedimentation rate in pneumococcal pneumonia in children. Eur. Respir. J. 1997; 10: 1125-1129
  10. Arseven O, Özlü T, Aydın G, Baytemür M, Bozkurt F, Doğanay M. Toraks Derneği Erişkinlerde toplum kökenli pnömoni tanı ve tedavi rehberi Toraks Dergisi 2002; 3(