The Comparison of Inflammatory Markers for the Prediction of Recurrence of the Nasal Polyp After Endoscopic Sinus Surgery

Cengiz, Abdurrahman Buğra; Gumuslu, Bekir Can; Tansuker, Hasan Deniz; Öğreden, Şahin; Oktay, Mehmet Faruk

doi:10.1007/s12070-020-01952-4

Cited by 7 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…15,16 Mast cell numbers in resected nasal polyps, 17 serum POSTN levels, 18 the neutrophil-lymphocyte ratio, 19 and the C-reactive protein-toalbumin ratio are other potential biomarkers for the post-operative recurrence of CRSwNP. 20 Our previous study has also demonstrated that asthma comorbidity could be one of the clinical factors to predict recurrence of CRSwNP. 21 The nasal cavity is subject to microbial colonization, and these commensal microbiota might be essential for nasal homeostasis.…”

Section: Introductionmentioning

confidence: 93%

“…In addition, a blood eosinophil count of 0.25 × 10 3 /µl or 2.6% blood eosinophils have been reported to predict CRSwNP recurrence 15,16 . Mast cell numbers in resected nasal polyps, 17 serum POSTN levels, 18 the neutrophil‐lymphocyte ratio, 19 and the C‐reactive protein‐to‐albumin ratio are other potential biomarkers for the post‐operative recurrence of CRSwNP 20 . Our previous study has also demonstrated that asthma comorbidity could be one of the clinical factors to predict recurrence of CRSwNP 21 …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota

Zhao

Chen

Hao

et al. 2021

Allergy

View full text Add to dashboard Cite

Background: Recent studies have revealed that the nasal microbiota in patients with chronic rhinosinusitis with nasal polyps (CRSwNP) is profoundly altered and is correlated with systemic inflammation. However, little is known regarding whether the microbiota can be utilized to predict nasal polyp recurrence. This study is aimed to determine whether altered nasal microbiota constituents could be used as biomarkers to predict CRSwNP recurrence. Methods: Nasal microbiota constituents were quantified and characterized using bacterial 16S ribosomal RNA gene sequencing. Selected features for least absolute shrinkage and selection operator regression-based predictors were the nasal microbiota community composition and CRSwNP patient clinical characteristics. The primary outcome was recurrence, which was determined post-admission. Results: By distinguishing recurrence-associated nasal microbiota taxa and exploiting the distinct nasal microbiota abundance between patients with recurrent and nonrecurrent CRSwNP, we developed a predictive classifier for the diagnosis of nasal polyps' recurrence with 91.4% accuracy. Conclusions: Key taxonomical features of the nasal microbiome could predict recurrence in CRSwNP patients. The nasal microbiome is an understudied source of clinical variation in CRSwNP and represents a novel therapeutic target for future prevention and treatment.

show abstract

Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota

Zhao

Chen

Hao

et al. 2021

Allergy

View full text Add to dashboard Cite

show abstract

“…The severity of inflammation caused by viral infection has been shown to correlate with the prognosis of facial paralysis. In a previous study examining the correlation between the C-reactive protein to albumin ratio (CAR) and certain disorders, such as chronic sinusitis, nasal polyposis, various cancers, and inflammatory diseases, CAR was reported as a valuable prognostic parameter [ 57 ]. Similarly, one study concluded that CAR, rather than other values, was an indicator of poor BP prognosis [ 20 ].…”

Section: Prognostic Biomarkers In Apfpmentioning

confidence: 99%

Role of Biomarkers as Prognostic Factors in Acute Peripheral Facial Palsy

Kim¹,

Yeo²,

Byun³

2021

IJMS

View full text Add to dashboard Cite

Acute peripheral facial palsy (APFP), including Bell’s palsy and Ramsay Hunt syndrome, is a disease that affects daily life through facial motor dysfunction, causing psychological problems. Various tests to evaluate prognosis have been studied; however, there are no validated predictive biomarkers to guide clinical decision making. Therefore, specific biomarkers that respond to treatment are required to understand prognostic outcomes. In this review, we discuss existing literature regarding the role of APFP biomarkers in prognosis and recovery. We searched the PubMed, EMBASE, and Cochrane Library databases for relevant papers. Our screening identified relevant studies and biomarkers correlating with the identification of predictive biomarkers. Only studies published between January 2000 and October 2021 were included. Our search identified 5835 abstracts, of which 35 were selected. All biomarker samples were obtained from blood and were used in the evaluation of disease severity and prognosis associated with recovery. These biomarkers have been effective prognostic or predictive factors under various conditions. Finally, we classified them into five categories. There is no consensus in the literature on the correlation between outcomes and prognostic factors for APFP. Furthermore, the correlation between hematologic laboratory values and APFP prognosis remains unclear. However, it is important to identify new methods for improving the accuracy of facial paralysis prognosis prediction. Therefore, we systematically evaluated prognostic and potentially predictive APFP biomarkers. Unfortunately, a predictive biomarker validating APFP prognosis remains unknown. More prospective studies are required to reveal and identify promising biomarkers providing accurate prognosis.

show abstract

Hematologic parameters as predictive markers in pediatric Bell’s palsy

Cayir

Kılıçaslan

2020

Eur Arch Otorhinolaryngol

View full text Add to dashboard Cite

The Comparison of Inflammatory Markers for the Prediction of Recurrence of the Nasal Polyp After Endoscopic Sinus Surgery

Cited by 7 publications

References 28 publications

Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota

Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota

Role of Biomarkers as Prognostic Factors in Acute Peripheral Facial Palsy

Hematologic parameters as predictive markers in pediatric Bell’s palsy

Contact Info

Product

Resources

About