Development and Validation of a Prognostic Model to Predict Hearing Recovery for Patients With Chronic Otitis Media

2021 ◽  
pp. 014556132110655
Author(s):  
Fengyang Xie ◽  
Xiaoyue Zhen ◽  
Haiyuan Zhu ◽  
Yan Kou ◽  
Changle Li ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Otitis Media ◽  
Validation Cohort ◽  
Area Under The Curve ◽  
Chronic Otitis Media ◽  
Ossicular Chain ◽  
Multivariable Logistic Regression Analysis ◽  
Canal Wall ◽  
Multivariable Logistic Regression ◽  
Hearing Recovery

Objective To explore the factors affecting postoperative hearing recovery in chronic otitis media (COM) patients, establish a clinical prediction model for hearing recovery, and verify the accuracy of the model. Methods Data of patients with COM who were admitted to our hospital between January 1, 2012 and September 30, 2020 were retrospectively analyzed. We collected data on relevant clinicopathological characteristics of patients. The patients were randomly divided into the development cohort and validation cohorts. A postoperative air-bone gap (ABG) ≤20 dB was defined as successful hearing recovery. Univariate and multivariable logistic regression analyses were used to investigate the association of several prognostic factors with hearing recovery. These factors were then used to establish a nomogram. The model was subjected to bootstrap internal validation and performance evaluation in terms of discrimination, calibration, and clinical validity. Results This study included 2146 patients with COM: the development cohort comprised 1610 patients (mean [standard deviation; SD] age, 44.1 [14.7] years; 733 men [45.5%]) and the validation cohort included 536 patients (mean [SD] age, 42.9 [14.4] years; 234 men [43.7%]). Multivariable logistic regression analysis showed that age, duration of onset, styles of surgery (tympanoplasty, canal wall up-CWU, or canal wall down-CWD), ossicular prosthesis, granulation or calcified blocks around the ossicular chain, ossicular chain integrity, duration of drilling, eustachian tube dysfunction, mixed hearing loss, semicircular canal fistula, and second surgery were associated with hearing recovery. A nomogram based on these variables was constructed. The area under the curve was 0.797 (95% confidence interval [CI], 0.778–0.812) in the development cohort and 0.798 (95% CI, 0.7605–0.8355) in the validation cohort. Conclusions This study demonstrated the various clinical factors correlated with hearing recovery in patients with COM. The nomogram developed with these data could provide personalized risk estimates of hearing recovery to enhance preoperative counseling and help to set realistic expectations in patients.

scholarly journals Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Yun Bian ◽  
Shiwei Guo ◽  
Hui Jiang ◽  
Suizhi Gao ◽  
Chengwei Shao ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Lymph Node ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Validation Cohort ◽  
Ductal Adenocarcinoma ◽  
Arterial Phase ◽  
Multivariable Logistic Regression Analysis ◽  
Preoperative Prediction ◽  
Multivariable Logistic Regression ◽  
Radiomics Signature

Abstract Purpose To develop and validate a radiomics nomogram for the preoperative prediction of lymph node (LN) metastasis in pancreatic ductal adenocarcinoma (PDAC). Materials and methods In this retrospective study, 225 patients with surgically resected, pathologically confirmed PDAC underwent multislice computed tomography (MSCT) between January 2014 and January 2017. Radiomics features were extracted from arterial CT scans. The least absolute shrinkage and selection operator method was used to select the features. Multivariable logistic regression analysis was used to develop the predictive model, and a radiomics nomogram was built and internally validated in 45 consecutive patients with PDAC between February 2017 and December 2017. The performance of the nomogram was assessed in the training and validation cohort. Finally, the clinical usefulness of the nomogram was estimated using decision curve analysis (DCA). Results The radiomics signature, which consisted of 13 selected features of the arterial phase, was significantly associated with LN status (p < 0.05) in both the training and validation cohorts. The multivariable logistic regression model included the radiomics signature and CT-reported LN status. The individualized prediction nomogram showed good discrimination in the training cohort [area under the curve (AUC), 0.75; 95% confidence interval (CI), 0.68–0.82] and in the validation cohort (AUC, 0.81; 95% CI, 0.69–0.94) and good calibration. DCA demonstrated that the radiomics nomogram was clinically useful. Conclusions The presented radiomics nomogram that incorporates the radiomics signature and CT-reported LN status is a noninvasive, preoperative prediction tool with favorable predictive accuracy for LN metastasis in patients with PDAC.

scholarly journals Distinguish Coronavirus Disease 2019 Patients in General Surgery Emergency by CIAAD Scale: Development and Validation of a Prediction Model Based on 822 Cases in China

2020 ◽  
Author(s):  
Bangbo Zhao ◽  
Yingxin Wei ◽  
Wenwu Sun ◽  
Cheng Qin ◽  
Xingtong Zhou ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Prediction Model ◽  
Acute Abdomen ◽  
Logistic Regression Analysis ◽  
Validation Cohort ◽  
Curve Analysis ◽  
Multivariable Logistic Regression Analysis ◽  
Decision Curve Analysis ◽  
Multivariable Logistic Regression

ABATRACTIMPORTANCEIn the epidemic, surgeons cannot distinguish infectious acute abdomen patients suspected COVID-19 quickly and effectively.OBJECTIVETo develop and validate a predication model, presented as nomogram and scale, to distinguish infectious acute abdomen patients suspected coronavirus disease 2019 (COVID-19).DESIGNDiagnostic model based on retrospective case series.SETTINGTwo hospitals in Wuhan and Beijing, China.PTRTICIPANTS584 patients admitted to hospital with laboratory confirmed SARS-CoV-2 from 2 Jan 2020 to15 Feb 2020 and 238 infectious acute abdomen patients receiving emergency operation from 28 Feb 2019 to 3 Apr 2020.METHODSLASSO regression and multivariable logistic regression analysis were conducted to develop the prediction model in training cohort. The performance of the nomogram was evaluated by calibration curves, receiver operating characteristic (ROC) curves, decision curve analysis (DCA) and clinical impact curves in training and validation cohort. A simplified screening scale and managing algorithm was generated according to the nomogram.RESULTSSix potential COVID-19 prediction variables were selected and the variable abdominal pain was excluded for overmuch weight. The five potential predictors, including fever, chest computed tomography (CT), leukocytes (white blood cells, WBC), C-reactive protein (CRP) and procalcitonin (PCT), were all independent predictors in multivariable logistic regression analysis (p ≤0.001) and the nomogram, named COVID-19 Infectious Acute Abdomen Distinguishment (CIAAD) nomogram, was generated. The CIAAD nomogram showed good discrimination and calibration (C-index of 0.981 (95% CI, 0.963 to 0.999) and AUC of 0.970 (95% CI, 0.961 to 0.982)), which was validated in the validation cohort (C-index of 0.966 (95% CI, 0.960 to 0.972) and AUC of 0.966 (95% CI, 0.957 to 0.975)). Decision curve analysis revealed that the CIAAD nomogram was clinically useful. The nomogram was further simplified into the CIAAD scale.CONCLUSIONSWe established an easy and effective screening model and scale for surgeons in emergency department to distinguish COVID-19 patients from infectious acute abdomen patients. The algorithm based on CIAAD scale will help surgeons manage infectious acute abdomen patients suspected COVID-19 more efficiently.

scholarly journals Relation between Ossicular Erosion and Destruction of Facial and Lateral Semicircular Canals in Chronic Otitis Media

2016 ◽  
Vol 21 (03) ◽  
pp. 239-242 ◽  
Author(s):  
Suphi Bulğurcu ◽  
İlker Arslan ◽  
Bünyamin Dikilitaş ◽  
İbrahim Çukurova
Keyword(s):  
Facial Nerve ◽  
Otitis Media ◽  
Chronic Otitis Media ◽  
Semicircular Canals ◽  
Ossicular Chain ◽  
Facial Canal ◽  
Canal Wall ◽  
Radical Mastoidectomy ◽  
Canal Wall Down ◽  
Canal Wall Up

Introduction Chronic otitis media can cause multiple middle ear pathogeneses. The surgeon should be aware of relation between ossicular chain erosion and other destructions because of the possibility of complications. Objective This study aimed to investigate the rates of ossicular erosion in cases of patients with and without facial nerve canal destruction, who had undergone mastoidectomy due to chronic otitis media with or without cholesteatoma. Methods We retrospectively analyzed three hundred twenty-seven patients who had undergone tympanomastoidectomy between April 2008 and February 2014. We documented the types of mastoidectomy (canal wall up, canal wall down, and radical mastoidectomy), erosion of the malleus, incus and stapes, and the destruction of facial and lateral semi-circular canal. Results Out of the 327 patients, 147 were women (44.95%) and 180 were men (55.04%) with a mean age 50.8 ± 13 years (range 8–72 years). 245 of the 327 patients (75.22%) had been operated with the diagnosis of chronic otitis media with cholesteatoma. FNCD was present in 62 of the 327 patients (18.96%) and 49 of these 62 (79.03%) patients had chronic otitis media with cholesteatoma. The correlation between the presence of FNCD with LSCC destruction and stapes erosion in chronic otitis media with cholesteatoma is statistically significant (p < 0.05). Conclusion Although incus is the most common of destructed ossicles in chronic otitis media, facial canal destruction is more closely related to stapes erosion.

scholarly journals Comparison of Various Graft Materials in the Reconstruction of Ossicular Chain in Patients with Chronic Otitis Media: A Prospective Hospital Based Study

2017 ◽  
Vol 25 (3) ◽  
pp. 136-141
Author(s):  
Niaz Fakhruddin ◽  
Chethan Kumar Gangaiah ◽  
Gopakumar KP ◽  
Geogin George Thottan ◽  
Mon Noufal
Keyword(s):  
Otitis Media ◽  
Chronic Otitis Media ◽  
Ossicular Chain ◽  
Canal Wall ◽  
Exclusion Criteria ◽  
Hearing Results ◽  
The Status ◽  
Ossicular Chain Reconstruction ◽  
Study Population ◽  
Canal Wall Down

Introduction Ossicular chain reconstruction is the surgical procedure used to correct the hearing problems in patients with chronic otitis media (COM). In this era, where a large variety of innovative artificial prosthetic materials are being used to replace and reconstruct the ossicular chain, autografts still play a significant role. Materials and Methods The present study included 40 patients. Study population was selected based on inclusion and exclusion criteria. The ossicular reconstructive procedure was done under anesthesia and according to the status of the ossicular chain. Temporalis fascia was used to close the perforation. Mainly two procedures were performed: one is intact canal wall and the other is canal wall down.  Results Most of the study population was middle aged and males were more compared to females. Thirty five patients had air bone gap above 30dB. In 38 patients, the incus had undergone necrosis. Most of the patients underwent short columella reconstruction. A closure of air bone gap with in 20 dB was achieved in 72.2% in patients with malleus stapes assembly. In short columella 22.2% of patients had closure of air bone gap within 20 dB. Incus remnant grafts gave better hearing gain. Discussion The published literature on the result of use of sculptured ossicle and cartilage in tympanoplasty have been reviewed Conclusion In the present study, cases with COM showed good hearing results patients implanted with autogenous cartilage and bone.

scholarly journals The Construction and Development of a Clinical Prediction Model to Assess Lymph Node Metastases in Osteosarcoma

2022 ◽  
Vol 9 ◽  
Author(s):  
Wenle Li ◽  
Shengtao Dong ◽  
Bing Wang ◽  
Haosheng Wang ◽  
Chan Xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Validation Cohort ◽  
Predictive Ability ◽  
Multivariable Logistic Regression Analysis ◽  
Clinical Prediction ◽  
Clinical Prediction Model ◽  
Multivariable Logistic Regression

Background: This study aimed to construct a clinical prediction model for osteosarcoma patients to evaluate the influence factors for the occurrence of lymph node metastasis (LNM).Methods: In our retrospective study, a total of 1,256 patients diagnosed with chondrosarcoma were enrolled from the SEER (Surveillance, Epidemiology, and End Results) database (training cohort, n = 1,144) and multicenter dataset (validation cohort, n = 112). Both the univariate and multivariable logistic regression analysis were performed to identify the potential risk factors of LNM in osteosarcoma patients. According to the results of multivariable logistic regression analysis, A nomogram were established and the predictive ability was assessed by calibration plots, receiver operating characteristics (ROCs) curve, and decision curve analysis (DCA). Moreover, Kaplan-Meier plot of overall survival (OS) was plot and a web calculator visualized the nomogram.Results: Five independent risk factors [chemotherapy, surgery, lung metastases, lymphatic metastases (M-stage) and tumor size (T-stage)] were identified by multivariable logistic regression analysis. What's more, calibration plots displayed great power both in training and validation group. DCA presented great clinical utility. ROCs curve provided the predictive ability in the training cohort (AUC = 0.805) and the validation cohort (AUC = 0.808). Moreover, patients in LNN group had significantly better survival than that in LNP group both in training and validation group.Conclusion: In this study, we constructed and developed a nomogram with risk factors, which performed well in predicting risk factors of LNM in osteosarcoma patients. It may give a guide for surgeons and oncologists to optimize individual treatment and make a better clinical decision.

scholarly journals Are there predictor variables for the diagnosis of transthyretin cardiac amyloidosis?

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
C Goena ◽  
X Arana ◽  
I Villanueva ◽  
I Solla ◽  
A Rengel ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cardiac Amyloidosis ◽  
Antihypertensive Drugs ◽  
Area Under The Curve ◽  
Left Ventricular ◽  
Receiver Operating Curve ◽  
Multivariable Logistic Regression Analysis ◽  
Al Amyloidosis ◽  
Funding Sources ◽  
Multivariable Logistic Regression

Abstract Introduction Transthyretin cardiac amyloidosis (ATTR) can be reliably diagnosed in the absence of histology if grade 2 or 3 cardiac uptake is demonstrated on 99mTc-DPD scan (DPD) in the absence of a detectable monoclonal component. Diagnosis requires a high degree of clinical suspicion in the presence of often non-specific findings and that it may be one of the reasons to under-diagnose ATTR. The aim of the study is to identify clinical, analytical and ECG variables that best predict a positive DPD result. Methods This is a multicentre retrospective study including all patients undergoing consecutive 99mTc-DPD scintigraphy in a reference area of 750,000 inhabitants between January 2016 and January 2021 for suspected ATTR. AL amyloidosis patients were excluded. Clinical, analytical, ECG and echocardiographic data were analyzed. We identified variables that independently predicted a positive DPD study using a multivariable logistic regression analysis. Receiver Operating Curve (ROC) analysis and the Area under the Curve (AUC) were calculated to assess the discrimination capacity of the model to predict a positive DPD study. Results DPD scans from a total of 181 patients were analyzed. Mean age of the sample: 78 years (42–96), 100% caucasians, 77% male. 54.7% (N=99) had a positive DPD study (defined as grade 2 or 3 Perugini uptake) and 45.3% (N=82) were negative. Independent predictors of a positive study were age, male gender, left ventricular septum thickness, any grade of atrioventricular block, low QRS voltage, Carpal tunnel syndrome, history of hypotension or need to lower antihypertensive drugs and a NT-proBNP value above 1800 pg/ml (See Table 1). The diagnostic accuracy of the model was excellent, with an AUC of 0.92 (IC 95% 0.87–0.96) (see Figure 1). Conclusions There are clinical-analytical factors and ECG and echocardiogram findings accessible in daily clinical practice that are able to predict a positive result on cardiac scintigraphy requested for suspected ATTR. Identifying these factors may improve the non-invasive diagnosis of ATTR. FUNDunding Acknowledgement Type of funding sources: None. Table 1. Multivariable logistic regression analys Figure 1. ROC curve

scholarly journals Comparison of laparoscopic and hand-assisted laparoscopic nephrectomy for inflammatory renal disease: which is the preferred approach?

2021 ◽  
Vol 13 ◽  
pp. 175628722098404
Author(s):  
Xudong Guo ◽  
Hanbo Wang ◽  
Yuzhu Xiang ◽  
Xunbo Jin ◽  
Shaobo Jiang
Keyword(s):  
Logistic Regression ◽  
Renal Disease ◽  
Complication Rate ◽  
Adverse Outcomes ◽  
Laparoscopic Nephrectomy ◽  
Multivariable Logistic Regression Analysis ◽  
Invasive Approach ◽  
Intraoperative Complication ◽  
Multivariable Logistic Regression ◽  
Significant Difference

Aims: Management of inflammatory renal disease (IRD) can still be technically challenging for laparoscopic procedures. The aim of the present study was to compare the safety and feasibility of laparoscopic and hand-assisted laparoscopic nephrectomy in patients with IRD. Patients and methods: We retrospectively analyzed the data of 107 patients who underwent laparoscopic nephrectomy (LN) and hand-assisted laparoscopic nephrectomy (HALN) for IRD from January 2008 to March 2020, including pyonephrosis, renal tuberculosis, hydronephrosis, and xanthogranulomatous pyelonephritis. Patient demographics, operative outcomes, and postoperative recovery and complications were compared between the LN and HALN groups. Multivariable logistic regression analysis was conducted to identify the independent predictors of adverse outcomes. Results: Fifty-five subjects in the LN group and 52 subjects in the HALN group were enrolled in this study. In the LN group, laparoscopic nephrectomy was successfully performed in 50 patients (90.9%), while four (7.3%) patients were converted to HALN and one (1.8%) case was converted to open procedure. In HALN group, operations were completed in 51 (98.1%) patients and conversion to open surgery was necessary in one patient (1.9%). The LN group had a shorter median incision length (5 cm versus 7 cm, p < 0.01) but a longer median operative duration (140 min versus 105 min, p < 0.01) than the HALN group. There was no significant difference in blood loss, intraoperative complication rate, postoperative complication rate, recovery of bowel function, and hospital stay between the two groups. Multivariable logistic regression revealed that severe perinephric adhesions was an independent predictor of adverse outcomes. Conclusion: Both LN and HALN appear to be safe and feasible for IRD. As a still minimally invasive approach, HALN provided an alternative to IRD or when conversion was needed in LN.

scholarly journals Predictors of Anxiety-Induced Sleep Disturbance among in-School Adolescents in Ghana: Evidence from the 2012 Global School-Based Health Survey

2021 ◽  
Vol 11 (2) ◽  
pp. 20 ◽  
Author(s):  
Bright Opoku Ahinkorah ◽  
Richard Gyan Aboagye ◽  
Francis Arthur-Holmes ◽  
Abdul-Aziz Seidu ◽  
James Boadu Frimpong ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sleep Disturbance ◽  
Emotional Disorders ◽  
Health Survey ◽  
Safety Concern ◽  
Statistical Significance ◽  
Outcome Variable ◽  
Multivariable Logistic Regression Analysis ◽  
School Based ◽  
Multivariable Logistic Regression

(1) Background: Psychological problems of adolescents have become a global health and safety concern. Empirical evidence has shown that adolescents experience diverse mental health conditions (e.g., anxiety, depression, and emotional disorders). However, research on anxiety-induced sleep disturbance among in-school adolescents has received less attention, particularly in low- and middle-income countries. This study’s central focus was to examine factors associated with t anxiety-induced sleep disturbance among in-school adolescents in Ghana. (2) Methods: Analysis was performed using the 2012 Global School-based Health Survey (GSHS). A sample of 1342 in-school adolescents was included in the analysis. The outcome variable was anxiety-induced sleep disturbance reported during the past 12 months. Frequencies, percentages, chi-square, and multivariable logistic regression analyses were conducted. Results from the multivariable logistic regression analysis were presented as crude and adjusted odds ratios at 95% confidence intervals (CIs) and with a statistical significance declared at p < 0.05. (3) Results: Adolescents who went hungry were more likely to report anxiety-induced sleep disturbance compared to their counterparts who did not report hunger (aOR = 1.68, CI = 1.10, 2.57). The odds of anxiety-induced sleep disturbance were higher among adolescents who felt lonely compared to those that never felt lonely (aOR = 2.82, CI = 1.98, 4.01). Adolescents who had sustained injury were more likely to have anxiety-induced sleep disturbance (aOR = 1.49, CI = 1.03, 2.14) compared to those who had no injury. Compared to adolescents who never had suicidal ideations, those who reported experiencing suicidal ideations had higher odds of anxiety-induced sleep disturbance (aOR = 1.68, CI = 1.05, 2.71). (4) Conclusions: Anxiety-induced sleep disturbance among in-school adolescents were significantly influenced by the psychosocial determinants such as hunger, loneliness, injury, and suicidal ideation in this study. The findings can help design appropriate interventions through effective strategies (e.g., early school-based screening, cognitive-behavioral therapy, face-face counseling services) to reduce psychosocial problems among in-school adolescents in Ghana.

scholarly journals Assessment of Hospital Rooming-in Practice in Abu Dhabi, United Arab Emirates: A Cross-Sectional Multi-Center Study

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2318
Author(s):  
Zainab Taha ◽  
Ahmed Ali Hassan ◽  
Ludmilla Wikkeling-Scott ◽  
Ruba Eltoum ◽  
Dimitrios Papandreou
Keyword(s):  
Logistic Regression ◽  
Hospital Stay ◽  
United Arab Emirates ◽  
Gestational Age ◽  
World Health ◽  
Abu Dhabi ◽  
Multivariable Logistic Regression Analysis ◽  
Original Research ◽  
Convenience Sample ◽  
Multivariable Logistic Regression

The World Health Organization (WHO) recommends rooming-in to reduce infant mortality rates. Little research has been done to assess practices such as rooming-in and its relation to breastfeeding in the United Arab Emirates (UAE). The aim of this study was to examine the prevalence of rooming-in during hospital stay among mothers with infants six months old and below, in addition to other associated factors in Abu Dhabi, UAE. This study utilized a sub-sample extracted from a dataset based on a convenience sample of mothers who were recruited from governmental maternal and child health centers as well as from the community. The purpose of the original research was to evaluate infant and young children’s feeding practices. A pre-tested questionnaire was used during interviews with mothers once ethical clearance was in place. Multivariable logistic regression was conducted to describe the results. The original sample included 1822 participants, of which 804 infants met the inclusion criteria. The mean age for mothers and infants was 30.3 years and 3.5 months, respectively. The rate of rooming-in during hospital stay was 97.5%. Multivariable logistic regression analysis indicated factors associated with not rooming-in were low maternal age (Adjusted Odds Ratios (AOR) = 1.15, 95% confidence interval (CI): 1.03, 1.30), low gestational age (GA) (AOR = 1.90, 95% CI: 1.52, 2.36), abnormal pre-pregnancy body mass index (BMI) (AOR = 3.77, 95 % CI: 1.22, 11.76), and delayed initiation of breastfeeding (AOR = 4.47, 95 % CI: 1.08, 18.48). In the context of the high rate of rooming-in revealed in this study, there should be a focus on those groups who do not room-in (i.e., younger women and those with babies of a younger gestational age). Rooming-in practice provides self-confidence in taking care of a baby, knowledge about breastfeeding, and stimulates early-phase lactation.

Sign in / Sign up

Export Citation Format

Share Document