scholarly journals Brescia-COVID Respiratory Severity Scale (BRCSS) and Quick SOFA (qSOFA) score are most useful in showing severity in COVID-19 patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ishak San ◽  
Emin Gemcioglu ◽  
Salih Baser ◽  
Nuray Yilmaz Cakmak ◽  
Abdulsamet Erden ◽  
...  

AbstractIn this study, we compare the predictive value of clinical scoring systems that are already in use in patients with Coronavirus disease 2019 (COVID-19), including the Brescia-COVID Respiratory Severity Scale (BCRSS), Quick SOFA (qSOFA), Sequential Organ Failure Assessment (SOFA), Multilobular infiltration, hypo-Lymphocytosis, Bacterial coinfection, Smoking history, hyper-Tension, and Age (MuLBSTA) and scoring system for reactive hemophagocytic syndrome (HScore), for determining the severity of the disease. Our aim in this study is to determine which scoring system is most useful in determining disease severity and to guide clinicians. We classified the patients into two groups according to the stage of the disease (severe and non-severe) and adopted interim guidance of the World Health Organization. Severe cases were divided into a group of surviving patients and a deceased group according to the prognosis. According to admission values, the BCRSS, qSOFA, SOFA, MuLBSTA, and HScore were evaluated at admission using the worst parameters available in the first 24 h. Of the 417 patients included in our study, 46 (11%) were in the severe group, while 371 (89%) were in the non-severe group. Of these 417 patients, 230 (55.2%) were men. The median (IQR) age of all patients was 44 (25) years. In multivariate logistic regression analyses, BRCSS in the highest tertile (HR 6.1, 95% CI 2.105–17.674, p = 0.001) was determined as an independent predictor of severe disease in cases of COVID-19. In multivariate analyses, qSOFA was also found to be an independent predictor of severe COVID-19 (HR 4.757, 95% CI 1.438–15.730, p = 0.011). The area under the curve (AUC) of the BRCSS, qSOFA, SOFA, MuLBSTA, and HScore was 0.977, 0.961, 0.958, 0.860, and 0.698, respectively. Calculation of the BRCSS and qSOFA at the time of hospital admission can predict critical clinical outcomes in patients with COVID-19, and their predictive value is superior to that of HScore, MuLBSTA, and SOFA. Our prediction is that early interventions for high-risk patients, with early identification of high-risk group using BRCSS and qSOFA, may improve clinical outcomes in COVID-19.

2021 ◽  
Author(s):  
Ishak San ◽  
Emin Gemcioglu ◽  
Salih Baser ◽  
Nuray Yilmaz Cakmak ◽  
Abdulsamet Erden ◽  
...  

Abstract IntroductionIn this study, we compare the predictive value of clinical scoring systems that are already in use in patients with COVID-19, including the BCRSS, qSOFA, SOFA, MuLBSTA and HScore, for determining the severity of the disease. Our aim in this study is to determine which scoring system is most useful in determining disease severity and to guide clinicians.Materials and MethodsWe classified the patients into two groups according to the stage of the disease (severe and non-severe) by using the slightly modified and adopted interim guidance of the World Health Organization. Severe cases were divided into a group of surviving patients and a deceased group according to the prognosis. According to admission values, the BCRSS, qSOFA, SOFA, MuLBSTA, and HScore were evaluated at admission using the worst parameters available in the first 24 hours.ResultsOf the 417 patients included in our study, 46 (11%) were in the severe group, while 371 (89%) were in the non-severe group. Of these 417 patients, 230 (55.2%) were men. The median (IQR) age of all patients was 44 (25) years. In multivariate logistic regression analyses, BRCSS in the highest tertile (HR: 6.1, 95% CI: 2.105–17.674, p = 0.001) was determined as an independent predictor of severe disease in cases of COVID-19. In multivariate analyses, qSOFA was also found to be an independent predictor of severe COVID-19 (HR: 4.757, 95% CI: 1.438–15.730, p = 0.011). The area under the curve (AUC) of the BRCSS, qSOFA, SOFA, MuLBSTA, and HScore was 0.977, 0.961, 0.958, 0.860, and 0.698, respectively.ConclusionCalculation of the BRCSS and qSOFA at the time of hospital admission can predict critical clinical outcomes in patients with COVID-19, and their predictive value is superior to that of HScore, MuLBSTA, and SOFA. With early identification of the high-risk group using BRCSS and qSOFA, early interventions for high-risk patients can improve clinical outcomes in COVID-19.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1227.3-1228
Author(s):  
M. E. Tezcan ◽  
N. Şen ◽  
M. Yilmaz ◽  
Ö. Volkan ◽  
E. Tükel ◽  
...  

Background:Familial Mediterranean fever (FMF) is an auto inflammatory disease with recurrent attacks of serositis. Frequent attacks and disease related sequels may be associated with co-morbidities in FMF patients.Objectives:One of the tools for evaluating the FMF severity is the international severity scoring system for FMF (ISSF)1. This score includes disease related sequels, acute phase measurements, attack features and exertional leg pain. Therefore, more severe disease may be link with subclinical inflammation, amyloidosis and frequent, prolonged and widespread attacks. All these components may augment the frequency of non-disease related co-morbidities.Methods:We enrolled 158 FMF patients who fulfilled modifiedTel-HashomerDiagnosisCriteria2. The patients dichotomized based upon disease severity (mild disease or severe disease). Patients with ISSF scores lower or equal to 2 were accepted to have mild disease. Then, we compared frequency of non-disease related co-morbidities between the groups. These co-morbidities arehypertension, hypothyroidism, hyperthyroidism cardiovascular diseases, coronary artery diseases, cerebrovascular diseases, chronic renal disease (non-FMF related), chronic obstructive pulmonary diseases, and diabetes mellitus. This study was approved by the Local Research Ethics Committee and carried out in compliance with the Helsinki Declaration. All the patients gave written informed consent. P-value lower than 0.05 was considered as statistically significant.Results:Demographic features, disease duration, smoking history and body mass index (BMI) were similar between the groups. Frequency of co-morbidity in severe disease group was statistically higher than mild disease group (p=0.02). Most frequent co-morbidity was hypertension in both groups.Table.Features of mild and severe FMF groupsMild (n=135)Severe (n=23)pGender (M/F)47/8811/120.23Age36.4±11.336.5±14.30.68Smoking (%)38 (28.1)5 (21.7)0.52BMI (kg/m2)24.3±9.224.0±8.90.34Disease duration (year)7.7±11.38.6±14.30.09Amyloidosis (%)2 (1.4)3 (13.0)0.02Exon 10 homozygote (%)35 (25.9)9 (39.1)0.19Colchicine dosage (mg/day)1.2±0.41.4±0.50.02ISSF scores0.7 ±0.73.4±0.5<0.001Co-morbidity (%)25 (18.5)9 (39.1)0.02Conclusion:In our FMF patient cohort, we found that severity of the disease may be associated with higher frequency of co-morbidities. Therefore, clinicians should be aware of the high possibility of co-morbidities in patients with more severe FMF and addressed these co-morbidities timely and properly.References:[1]Demirkaya E, et al. Development and initial validation of international severity scoring system for familial Mediterranean fever (ISSF). Ann Rheum Dis 2016;75:1051-6.[2]Berkun Y, et al. Diagnostic criteria of familial Mediterranean fever. Autoimmun Rev 2014;13:388-90.Acknowledgments:NoneDisclosure of Interests:None declared


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A269-A269
Author(s):  
Vaishal Shah ◽  
Nancy Foldvary-Schaefer ◽  
Lu Wang ◽  
Lara Jehi ◽  
Cynthia Pena Obrea ◽  
...  

Abstract Introduction The relationship of OSA and human coronavirus (COVID-19) in the pediatric population is unknown. We postulate that OSA is associated with SARS-CoV-2 positivity and with adverse COVID-19 outcomes in children. Methods A retrospective review of 120 consecutive patients (&lt;18 years) with prior polysomnogram (PSG) and COVID-19 testing from the Cleveland Clinic COVID-19 registry was conducted. Using a case control design of SARS-CoV-2 positive and negative pediatric patients, we examined COVID-19 and pre-existing OSA (dichotomized AHI≥1) using logistic (OR,95%CI) regression and as continuous measures: AHI, oxygen(SpO2) nadir, %time SpO2&lt;90%) using linear regression(beta+/-SE). In those positive for SARS-CoV-2(cases only), we assessed the association of OSA and World Health Organization(WHO) COVID-19 clinical outcome composite score (hospitalization, requiring supplemental oxygen, non-invasive ventilation/high-flow oxygen, invasive ventilation/ECMO or death) using Wilcoxon rank sum test for ordinal data. Results Cases (n=36) were 11.8±4.4 years, 61% male, 27.8% black and 88.9% with OSA, while 85.7% of controls (n=84) had OSA. OSA was not associated with increased SARS-CoV-2 positivity: OR=1.33(0.40, 4.45,p=0.64). No significant difference between cases and controls for mean AHI 3.7(1.5,6.0) vs 3.5(1.5,7.1),p=0.91,SpO2 nadir 88.6±5.4 vs 89.1±4.4,p=0.58,%time SpO2&lt;90% 0.05[0.00,1.00) vs 0.10 (0.00,1.00, p=0.65) respectively was noted. WHO-7 COVID-19 clinical outcome did not meet statistical significance in relation to OSA due to the low event frequency (p=0.49). Of note, those with OSA vs without OSA had a higher WHO-7 outcome score of 2 vs 0 and prevalence of hospitalization: 12.5 vs 0% respectively. Of hospitalized patients, the following was observed: 23% had moderate/severe OSA vs 4.3% mild OSA, 50% required supplemental oxygen and 25% required intubation/invasive ventilation. No deaths or readmissions were reported. High risk conditions included: 75% obesity, 50% asthma, 25% sickle cell disease and 25% hypoplastic left heart. Conclusion In this first report of which we are aware focused on COVID-19 in pediatric OSA, we use a case control design leveraging COVID-19 and sleep laboratory registries. Albeit not statistically significant, pediatric patients with OSA had a higher percentage of worse clinical outcomes. Larger network studies are needed to clarify whether poorer COVID-19 outcomes may be attributable to OSA or modulated via high risk health conditions. Support (if any):


2020 ◽  
Author(s):  
Mehrzad Lotfi ◽  
Sepideh Sefidbakht ◽  
Mohsen Moghadami ◽  
Pouya Iranpour ◽  
Yasaman Emami ◽  
...  

Abstract Background: Given the limited number of beds in intensive care units, establishing a system that can predict the outcome in COVID19 positive patients based on imaging plays an important role in using resources efficiently. Therefor this study was conducted to design an optimal scoring system related to the severity of COVID19 cases for distinguishing severe from non-severe patients. Materials and Methods: In this cross-sectional retrospective study, 82 patients with a definite diagnosis of COVID-19 infection, who had at least one chest CT scan in hospital course were enrolled.To assess the severity of pulmonary parenchymal involvement, we semi-quantitatively evaluated the extent and nature of abnormalities. The area of lung involvement was scored in three levels based on a 0-4 grading scale. Also, we established a 4-point scoring system for defining the nature of lung abnormalities. The two scores were multiplied by each other. A final radiologic severity score was determined after adding together the scores of all levels.Result: Of all cases, fifty-three (64.6%) were male with an average age of age 53.75. Among the patients in our study, 7 (8.5%) had severe disease and the mortality rate was 7.2%. The mean (±standard deviation) of the radiologic severity score was 34.3(±18.4) in the severe group and 11.3(±11.4) in the non-sever group. (P-value <0.05). Also, we found a significant reverse relationship between our severity score and O2 saturation (P-value <0.05).Conclusion: The radiologic severity score demonstrated a significant correlation with the patients' mortality and severity of illness in COVID-19 patients.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 5207-5207
Author(s):  
Margot van Spronsen ◽  
Margot van Spronsen ◽  
Arjan van de Loosdrecht ◽  
Martine ED Chamuleau

Abstract Purpose Myelodysplastic syndrome (MDS) is a broad spectrum of bone marrow failure syndromes characterized by diversity concerning clinical behavior, influence on patient’s outcome and risk for leukemic evolution. For more accurate prognostic assessment, the International Prognostic Scoring System (IPSS) has been recently revised. The purpose of this single-center study was to validate the r-IPSS and to compare this model with the MD Anderson Risk Model Score (MDAS), the IPSS and the (revised) WHO classification-based Prognostic Scoring System (WPSS(-R)). Furthermore, the predictive value of the MDS-Specific Co-morbidity Index (MDS-CI) as several other prognostic factors were analyzed. Methods Data were retrospectively collected from 222 MDS patients diagnosed at the VUmc between January 2000 and 2013. Selection was based on informative cytogenetics and the availability of peripheral blood and bone marrow counts. The MDAS, (r-)IPSS, (r-)WPSS and MDS-CI were applied and the impact of individual prognostic factors on patients’ outcome was investigated. Kaplan-Meier method was used for estimating survival and the value of prognostic models was determined by Cox’s multivariate regression method. Results Of our study population, 25 (11%), 83 (38%), 51 (23%), 37 (17%) and 25 (11%) patients were classified according to the IPSS-R as very low, low, intermediate, high and very high risk with, respectively, median overall survival (OS) of 129 (95%CI 96-161), 89 (95%CI 73-105), 43 (95%CI 30-57-61), 31 (95%CI 20-42) and 19 (95%CI 7-31) months (P < 0.000). Compared to the MDAS, IPSS, WPSS(-R) and MDAS, the IPSS-R had a higher predictive power for OS. The MDS-CI was of significant predictive value additional to IPSS-R (P < 0.003). Low risk MDS-CI patients who underwent stem cell transplantation (SCT) had a significantly higher mean overall survival (OS), respectively 104 versus 43 months (P < 0.038). However, mean OS of intermediate and high risk MDS patients who received SCT was not better. Conclusion Our data confirm the predictive value of the IPSS-R and show the additional value of the MDS-CI. Combined application of these models refines the prognostic assessment and identifies co-morbidity among MDS patients, which may assist and influence clinical decision making. Disclosures: No relevant conflicts of interest to declare.


2019 ◽  
Vol 30 (1) ◽  
pp. 35-40
Author(s):  
Murat Alan ◽  
Ilker Gunyeli ◽  
Murat Gultekin ◽  
Muzaffer Sancı ◽  
Kunter Yuce

ObjectiveTriage with HPV genotyping has some caveats and debates for HPV positive cases other than 16 and 18. The Swede score colposcopic scoring system has not previously been evaluated in this group of patients.ObjectiveTo use the Swede score colposcopic scoring system to compare scores and final histopathological results in women who have undergone colposcopy owing to infection with high risk-HPVs other than HPV16 and 18 and to establish new cut-off values to predict pre-malignant lesions in this group of patients.MethodsThis study was conducted in 613 women undergoing colposcopic evaluation because of abnormal cervical cytology together with high-risk HPV infection. All patients referred were evaluated by an expert colposcopist, given a Swede score (using the Swede score colposcopic scoring system) by using five variables (acetowhiteness, margins plus surface, vessel pattern, lesion size, and iodine staining), and had at least one biopsy procedure (either colposcopically directed or by a loop electrical excision procedure). Sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratio values, and receiver operating characteristic curves for each clinico-pathological variable to detect low-grade and high-grade squamous intra-epithelial lesions, and any squamous cell abnormality (low-grade + high-grade squamous intra-epithelial lesions) were evaluated individually.ResultsFinal histopathological results of the patients were normal in 53.2% of cases, low-grade lesions in 32.5% of cases, and high-grade lesions in 14.4% of cases. Swede score was ≥8 (median 7.97) for high-grade lesions and ≥5 (median 5.06) for low-grade lesions. The area under the curve values (95% CI) of Swede scores for low-grade and high-grade squamous intra-epithelial lesions, and low-grade + high grade lesions were 0.92, 0.98, and 0.96, respectively. A Swede score cut-off value ≥6 had a sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratios of 92%, 98%, 93%, 98%, and 50 (22.6 to 110.8), respectively, for high-grade lesions at the final pathology (P<0.001). One high-risk HPV type (except 16 and 18) was no better than another for calculating the median Swede score during colposcopy (P=0.43).ConclusionsThe Swede score colposcopic scoring system appears to be a useful tool for evaluating atypical cervical cytology in women with high-risk HPV infection other than HPV types 16 and 18.


Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2942 ◽  
Author(s):  
Darius Kalasauskas ◽  
Andrea Kronfeld ◽  
Mirjam Renovanz ◽  
Elena Kurz ◽  
Petra Leukel ◽  
...  

Up to 60% of atypical meningiomas (World Health Organization (WHO) grade II) reoccur within 5 years after resection. However, no clear radiological criteria exist to identify tumors with higher risk of relapse. In this study, we aimed to assess the association of certain radiomic and semantic features of atypical meningiomas in MRI with tumor recurrence. We identified patients operated on primary atypical meningiomas in our department from 2007 to 2017. An analysis of 13 quantitatively defined radiomic and 11 qualitatively defined semantic criteria was performed based on preoperative MRI scans. Imaging characteristics were assessed along with clinical and survival data. The analysis included 76 patients (59% women, mean age 59 years). Complete tumor resection was achieved in 65 (86%) cases, and tumor relapse occurred in 17 (22%) cases. Mean follow-up time was 41.6 (range 3–168) months. Cystic component was significantly associated with tumor recurrence (odds ratio (OR) 21.7, 95% confidence interval (CI) 3.8–124.5) and shorter progression-free survival (33.2 vs. 80.7 months, p < 0.001), whereas radiomic characteristics had no predictive value in univariate analysis. However, multivariate analysis demonstrated significant predictive value of high cluster prominence (hazard ratio (HR) 5.89 (1.03–33.73) and cystic component (HR 20.21 (2.46–166.02)) for tumor recurrence. The combination of radiomic and semantic features might be an effective tool for identifying patients with high-risk atypical meningiomas. The presence of a cystic component in these tumors is associated with a high risk of tumor recurrence.


2017 ◽  
Vol 20 (1) ◽  
pp. 28-37 ◽  
Author(s):  
Raquel Núñez-Ramos ◽  
Raquel M Fernández ◽  
Miguel González-Velasco ◽  
Jesús Ruiz-Contreras ◽  
Enrique Galán-Gómez ◽  
...  

Objectives Hirschsprung disease (HSCR) has a wide range of severity. There are nonsevere forms treated conservatively until surgery and severe forms that require an early stoma and prolonged hospitalization. Our objective was to establish a clinical scoring system to predict the severity of HSCR and to evaluate the possible existence of a clinical-genetic correlation. Methods We carried out a retrospective observational study including all HSCR cases treated in our hospital. The sample was divided into severe and nonsevere disease according to the number of surgical procedures, hospitalization time, and episodes of enterocolitis. The proposed score was applied at diagnosis, and the sensitivity, specificity, and optimal cut-point were determined. We conducted a prospective molecular study of RET, EDNRB, and EDN3 on all patients, as well as SOX10 in Waardenburg Syndrome type 4 forms. Results Among the 42 patients treated between 1983 and 2013, 15 met the severe disease criteria. This group had a higher mean score (13.15 ± 2.36) than the nonsevere group (8.15 ± 2.13; p < 0.001). A score ≥11 had a sensitivity of 87% and a specificity of 81% in detecting the severe cases. Causative mutations were identified in 12 patients, 8 of them in the severe group ( p = 0.015). Most of these mutations (75%) were located in the RET proto-oncogene. Conclusion The proposed scoring system enables the early selection of patients with severe behavior of HSCR. A value ≥11 showed good sensitivity and specificity for this purpose. Causative mutations were identified in more than 50% of patients who met the criteria for severe disease.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 406-406 ◽  
Author(s):  
Ayalew Tefferi ◽  
Paola Guglielmelli ◽  
Christy Finke ◽  
Terra L Lasho ◽  
Naseema Gangat ◽  
...  

Abstract Background : Current prognostication in primary myelofibrosis (PMF) utilizes international prognostic scoring systems that rely on clinical parameters that are sensitive to day-to-day variations and subjective interpretation. Recent studies in PMF have disclosed important prognostic information attached to additional cytogenetic details (Blood. 2011;118:4595) and somatic mutations, including CALR and ASXL1 (NEJM. 2013;369:2379; Leukemia. 2013;27:1861). Methods : PMF diagnosis and definition of blast transformation (BT) were according to World Health Organization criteria (Blood. 2009;114:937). Cytogenetic analysis and reporting was done according to the International System for Human Cytogenetic Nomenclature (Cytogenetic and genome research. 2013. Prepublished on 2013/07/03 as DOI 10.1159/000353118). Previously published methods were used for analyses of CALR, JAK2, MPL and other prognostically-relevant mutations, including ASXL1, SRSF2, EZH2 and IDH(Leukemia. 2014;28:1472). Results : The training set included 964 Mayo Clinic patients (median age 65 years; 62% males) in whom informative karyotype or mutation information was available; cytogenetic information was available in 903 (94%) cases, JAK2/CALR/MPL mutational status in 532 (55%), ASXL1 in 425 (44%), SRSF2 in 434 (45%), IDH1/2 in 376 (39%) and EZH2 in 268 (28%). DIPSS-plus (JCO. 2011;29:392) risk distribution was high in 37% of patients, intermediate-2 in 37%, intermediate-1 in 15% and low in 11%. We used a revised risk stratification for cytogenetics (see accompanying ASH 2014 abstract) to distinguish four distinct cytogenetic risk categories: very high (monosomal karyotype, inv(3), i(17q), -7/7q-, 11q or 12p abnormalities; n=67), high (complex non-monosomal, two abnormalities not included in very high risk category, 5q-, +8, other autosomal trisomies except +9, and other sole abnormalities not included in other risk categories; n=164), intermediate (sole abnormalities of 20q-, 1q+ or any other sole translocation, and -Y or other sex chromosome abnormality; n=133) and low (normal or sole abnormalities of 13q- or +9; n=539). Mutational frequencies were 58% for JAK2, 25% CALR, 7% MPL, 36% ASXL1, 11% SRSF2, 5% IDH1/2 and 6% EZH2. The 131 cases with CALR mutations were further subclassified into two prognostically different groups: type 1/type 1-like (n=110) and type 2/type 2-like (n=21) (see accompanying ASH 2014 abstract). At a median follow-up time of 4.2 years for patients who are alive, 664 (69%) deaths and 70 BT (7%) were recorded. Age-adjusted multivariable analysis that included cytogenetic and mutational risk groups disclosed the following as independent predictors of shortened survival: very high risk karyotype (HR 4.2; 3 points), high risk karyotype (HR 1.9; 1 point), triple-negative (HR 2.8; 2 points), JAK2 (HR 3.1; 2 points), MPL (HR 3.1; 2 points), type 2/type 2-like CALR (HR 3.6; 2 points), ASXL1 (HR 1.9; 1 points) and SRSF2 (HR 1.9; 1 point); EZH2 (p=0.24) and IDH1/2 (p=0.68) and intermediate risk karyotype (p=0.87) were not significant. The above-mentioned significant variables and age demarcated at 60 years (2 points), were subsequently used to develop an HR-derived, genetics-based prognostic scoring system (GPSS) for 369 patients who were fully informative for both karyotype and all significant mutations: low risk (0 points; n=31), intermediate-1 (1 or 2 points; n=90), intermediate-2 (3 or 4 points; n=133) and high (5 or more points; n=115); the corresponding median survivals were >17, 9 (HR 4.7, 95% CI 1.7-13.0), 5 (HR 10.7, 95% CI 3.9-29.3) and 2.2 (HR 29.2, 95% CI 10.6-80.0) years (Figure 1). High risk GPSS was also associated with higher BT rate (HR 7.4, 95% CI 2.1-26.3). The prognostic distinction between high/intermediate-2 and low/intermediate-1 risk GPSS, in terms of both overall (median 5 vs 26.4 years; HR 7.1, 95% CI 3.3-14.9) and leukemia-free survival (median 11.6 years vs not reached; HR 9.4, 95% CI 2.2-41.0) was validated in an independent cohort of 183 patients from the University of Florence (Figure 2). Conclusions : The current study demonstrates the feasibility of genetics-based prognostic models in PMF that rely on objective parameters that are amenable to further refinement as new genetic information becomes available. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.


Author(s):  
Ritika Gupta ◽  
Priyanka Mukherjee ◽  
Harpreet Kaur ◽  
Sahil Singhal

Background: The World Health Organization (WHO) factsheet revealed that 15 million babies are born too early every year and almost 1 million children die each year due to complications of preterm birth. The objective of this study was to determine whether cervicovaginal β-hCG level can be used as predictor of preterm delivery in asymptomatic high-risk pregnant women at 24-34 weeks gestation age.Methods: This was prospective observational study. Total 134 asymptomatic pregnant women were taken for study who had at least one risk factor for preterm delivery at 24-34 weeks gestation age. Cervicovaginal secretion was collected and β-hCG level was measured by chemiluminescent immunoassay.Results: Out of 134 cases, 42.5% had preterm delivery and 57.5% had term delivery. Mean cervicovaginal β-hCG level (mIU/ml) in preterm delivery group was 39.38±19.66 and term delivery group was 21.86±11.18. Cervicovaginal β-hCG level was significantly higher in preterm group compare to term group demonstrating significant association of raised β-hCG with preterm group (p value <0.001). ROC curve analysis was done to find out best cut off value of cervicovaginal β-hCG for prediction of preterm delivery and optimal cut off value was 36.45 mIU/ml. The optimal cut off value for cervicovaginal β-hCG (36.45 mIU/ml) gave sensitivity 71.9%, specificity 81.8%, positive predictive value 74.5%, negative predictive value 79.7% and diagnostic accuracy of 77.6% for prediction of preterm delivery.Conclusions: Cervicovaginal β-hCG can be used as sensitive and specific biomarker of prediction of preterm delivery in asymptomatic high-risk women.


Sign in / Sign up

Export Citation Format

Share Document