Statistical analysis of cutaneous malignant lymphoma in the department of dermatology, Akita university hospital.

1989 ◽  
Vol 51 (2) ◽  
pp. 304-309
Author(s):  
Noriko SATO ◽  
Okitaka MAIE ◽  
Toshiko MASAHASHI ◽  
Hironobu MURAI ◽  
Yuhei TADA ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Malignant Lymphoma ◽  
University Hospital

scholarly journals Statistical Analysis on Surgical Orthodontic Treatment in the Clinic of Orthodontics of Meikai University Hospital over a 10-year Period

2013 ◽  
Vol 23 (3) ◽  
pp. 181-190
Author(s):  
AKIKO NARITA ◽  
YUICHIRO OTSUKA ◽  
MICHI KUBO ◽  
NORIKAZU ENDO ◽  
AU SASAKI ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Orthodontic Treatment ◽  
University Hospital

scholarly journals High-risk Human Papillomavirus (16, 18) are not the most common genotypes associated with cervical pre-cancer lesions: a retrospective study at a University Hospital in the Eastern-Province of Saudi Arabia

2020 ◽  
Author(s):  
Haitham Kussaibi ◽  
Reem Al Dossary ◽  
Ayesha Badar ◽  
Aroub Omar Muammar ◽  
Raghad Ibrahim Aljohani
Keyword(s):  
Saudi Arabia ◽  
Human Papillomavirus ◽  
Statistical Analysis ◽  
High Risk ◽  
Pap Smear ◽  
University Hospital ◽  
Pap Smears ◽  
Cervical Lesions ◽  
High Risk Hpv ◽  
Intraepithelial Lesions

AbstractObjectiveHigh-risk HPV (human papillomavirus) is found to be responsible for 4.5% of all cancer, especially cervical cancer. The prevalence of high-risk HPV associated with cervical lesions is not well- known in Saudi Arabia. This study aims to highlight the genotypes of high-risk HPV associated with pre- malignant cervical lesions.MethodsOver 6 years (2013 - 2018), 5091 Pap (Papanicolaou) smears results and 170 high-risk HPV test results were collected from the Information System at King Fahd University Hospital. Statistical analysis was performed using the software SPSS (Statistical Package for Social Sciences).ResultsOut of 5091 Pap smears, only 1.89% (n=96) were abnormal; 0.18% (n=9) were malignant (7 Squamous cell carcinomas and 2 adenocarcinomas), while 1.7% (n=87) showed pre-cancerous lesions, 44 ASCUS (Atypical Squamous Cells of Undetermined Significance), 17 LSIL (Low-grade Squamous Intraepithelial Lesions), 12 HSIL (High-grade Squamous Intraepithelial Lesions), and 14 AGC (Atypical Glandular Cells). Out of 170 patients co-tested for high-risk HPV, only 13.5% (n=23/170) had positive results (5 cases were positive for HPV16, 1 case was positive for both HPV16 and 18, while the remaining 17 cases were positive for high-risk HPV other than 16 or 18), among them, 6.47% (n=11/170) had normal Pap smear, while 7.06% (n=12/170) patients had abnormal Pap smear; 4 ASCUS, 6 LSIL and 2 HSIL. Statistical analysis showed a significant correlation between HPV findings and the Pap smear results (P- value 0.000), however, no significant correlation was found with the patients’ age and/or nationality.DiscussionOur study showed a unique distribution of high-risk HPV genotypes which reflects different geographical infection patterns. Furthermore, the high association of high-risk HPV with normal Pap smears highlights the need, for all women at risk, to be co-investigated for high-risk HPV. These findings could help in customizing regional vaccine-combinations and screening programs.

scholarly journals A Framework for Criteria-Based Selection and Processing of Fast Healthcare Interoperability Resources Data for Statistical Analysis: Design and Implementation Study (Preprint)

2020 ◽  
Author(s):  
Julian Gruendner ◽  
Christian Gulden ◽  
Marvin Kampf ◽  
Sebastian Mate ◽  
Hans-Ulrich Prokosch ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Open Source ◽  
Clinical Data ◽  
Medical Information ◽  
Statistical Analyses ◽  
University Hospital ◽  
Data Repositories ◽  
Web Based ◽  
Source Database ◽  
Laboratory Test Results

BACKGROUND The harmonization and standardization of digital medical information for research purposes is a challenging and ongoing collaborative effort. Current research data repositories typically require extensive efforts in harmonizing and transforming original clinical data. The Fast Healthcare Interoperability Resources (FHIR) format was designed primarily to represent clinical processes; therefore, it closely resembles the clinical data model and is more widely available across modern electronic health records. However, no common standardized data format is directly suitable for statistical analyses, and data need to be preprocessed before statistical analysis. OBJECTIVE This study aimed to elucidate how FHIR data can be queried directly with a preprocessing service and be used for statistical analyses. METHODS We propose that the binary JavaScript Object Notation format of the PostgreSQL (PSQL) open source database is suitable for not only storing FHIR data, but also extending it with preprocessing and filtering services, which directly transform data stored in FHIR format into prepared data subsets for statistical analysis. We specified an interface for this preprocessor, implemented and deployed it at University Hospital Erlangen-Nürnberg, generated 3 sample data sets, and analyzed the available data. RESULTS We imported real-world patient data from 2016 to 2018 into a standard PSQL database, generating a dataset of approximately 35.5 million FHIR resources, including “Patient,” “Encounter,” “Condition” (diagnoses specified using International Classification of Diseases codes), “Procedure,” and “Observation” (laboratory test results). We then integrated the developed preprocessing service with the PSQL database and the locally installed web-based KETOS analysis platform. Advanced statistical analyses were feasible using the developed framework using 3 clinically relevant scenarios (data-driven establishment of hemoglobin reference intervals, assessment of anemia prevalence in patients with cancer, and investigation of the adverse effects of drugs). CONCLUSIONS This study shows how the standard open source database PSQL can be used to store FHIR data and be integrated with a specifically developed preprocessing and analysis framework. This enables dataset generation with advanced medical criteria and the integration of subsequent statistical analysis. The web-based preprocessing service can be deployed locally at the hospital level, protecting patients’ privacy while being integrated with existing open source data analysis tools currently being developed across Germany.

Geospatial clustering of childhood IgA vasculitis and IgA vasculitis-associated nephritis

2020 ◽  
pp. annrheumdis-2020-218649
Author(s):  
Matej Sapina ◽  
Marijan Frkovic ◽  
Mario Sestan ◽  
Sasa Srsen ◽  
Aleksandar Ovuka ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Spatial Variability ◽  
Spatial Autocorrelation ◽  
Census Data ◽  
Analytical Techniques ◽  
Danube River ◽  
University Hospital ◽  
Iga Vasculitis ◽  
Spatial Statistical Analysis ◽  
Continental Part

ObjectivesResearch on spatial variability of the incidence of IgA vasculitis (IgAV) in children and its potential implications for elucidation of the multifactorial aetiology and pathogenesis is limited. We intended to observe spatial variability of the incidence of IgAV and IgA vasculitis-associated nephritis (IgAVN) using modern geostatistical methods, and hypothesised that their spatial distribution may be spatially clustered.MethodsPatients' data were retrospectively collected from 2009 to 2019 in five Croatian University Hospital Centres for paediatric rheumatology, and census data were used to calculate the incidence of IgAV. Using spatial empirical Bayesian smoothing, local Morans’ I and local indicator of spatial autocorrelation (LISA), we performed spatial statistical analysis.Results596 children diagnosed with IgAV were included in this study, of which 313 (52.52%) were male. The average annual incidence proportion was estimated to be 6.79 per 100 000 children, and the prevalence of IgAVN was 19.6%. Existence of spatial autocorrelation was observed in both IgAV and IgAVN; however, clustering distribution differed. While IgAV showed clustering in Mediterranean and west continental part around cities, IgAVN was clustered in the northern Mediterranean and eastern continental part, where a linear cluster following the Drava and Danube river was observed.ConclusionIgAV incidence in Croatia is similar to other European countries. Spatial statistical analysis showed a non-random distribution of IgAV and IgAVN. Although aetiological associations cannot be inferred, spatial analytical techniques may help in investigating and generating new hypotheses in non-communicable diseases considering possible environmental risk factors and identification of potential genetic or epigenetic diversity.

Important serum markers in malignant lymphoma

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22225-e22225
Author(s):  
S. Yavuz ◽  
M. Erkisi ◽  
I. Petekkaya ◽  
N. Basel
Keyword(s):  
Malignant Lymphoma ◽  
Peripheral Blood ◽  
Serum Markers ◽  
University Hospital ◽  
Healthy Control Group ◽  
Control Group ◽  
Host Immune System ◽  
Acute Phase Reactants ◽  
Healthy Control ◽  
Patient Groups

e22225 Background: In this study, 78 patients with new diagnosed, 21 patients with relapsed malignant lymphoma who applied to Cukurova University Hospital between March 2006 - 2008, and 36 age and sex matched healthy control group were evaluated and have been followed up. Methods: The aim of this study was to investigate if; any acute phase reactants or lymphocyte markers in peripheral blood have any predictive role concerning the treatment response, or disease progression. Results: Peripheral blood CD20 (+) lymphocyte levels were slightly higher in new diagnosed patients (12.09±13.79), than the control group (11.25 ±4. 79) but, much lower in relapsed patients (7.30±9.51, P= 0.038). After the chemotherapy (CT), CD20 (+) cell percentage decreased significantly only in new diagnosed patients (p<0.001). Pretreatment CD20 (+) cell levels were higher in responding patients than no responders (15. 42 ± 13.30 versus, 6.72 ± 5.24 p= 0.052). Peripheral blood CD 4 (+) cell levels were below the healthy control group (p= 0.01) and remained low after the CT. Interestingly, CD8 (+) cell levels increased in responders, after the CT (p= 0.046) in both patient groups. CD 56(+) lymphocyte levels were higher only in new diagnosed patients than healthy group (p= 0.05). Its level increased further after the CT (p= 0.044). Serum TNF α levels were higher in patient groups than control (p<0.001). Its level decreased following CT (p= 0.002). CRP levels were higher in both patient groups and remained high following the CT (p<0.001), regardless of the response status. Ferritin levels were also higher in patients groups (p<0.001). Pre-treatment serum ferritin levels were lower in responders, than no responders (236.65 ± 242.17 ng/ml versus 718.77 ± 645.24 ng/ml, p= 0.02). Serum prealbumine levels were lower in lymphoma patients than the healthy controls (p< 0.001). Its level was increased after treatment, especially in patients with recurrent disease (21.15± 5.89 versus 26.60 ± 7.29 mg/dl, p= 0.019). Conclusions: In conclusion, it was decided that; during the different stages of lymphoma progression, several mutations may occur, in the different components of the host immune system. Some of the immune responses would continue in spite of complete clinical remission, as some others would predict the response. No significant financial relationships to disclose.

scholarly journals A Comparative Statistical Analysis on the Incidence of Developmental, Inflammatory and Neoplastic Odontogenic Cysts—A Single Center Retrospective Analysis from Italy

Oral ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 15-22
Author(s):  
Antonio Barresi ◽  
Giacomo Oteri ◽  
Angela Alibrandi ◽  
Matteo Peditto ◽  
Silvia Rapisarda ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
University Hospital ◽  
Odontogenic Cysts ◽  
Age And Gender ◽  
Patient Gender ◽  
Male Patients ◽  
Comparative Statistical Analysis ◽  
And Gender ◽  
The University ◽  
Maxillary Region

The aim of this study was a comparative statistical analysis of three categories of maxillary odontogenic cysts, evaluating frequency in relation to localization (mandibular or maxillary region), age and gender of patients. The study was a retrospective cohort study conducted at the University Hospital of Messina. Three hundred and fifty-six maxillary odontogenic cysts were classified into 283 inflammatory, 43 developmental and 30 neoplastic cysts. Female patients are more affected by developmental odontogenic cysts, while male patients are more affected by inflammatory odontogenic cysts. Both the mandibular and maxillary regions were affected mainly by inflammatory odontogenic cysts; no significantly statistic relationship was found between lesions and age. A significant association between odontogenic cyst lesions and patient gender was found. No significant association between histological features of lesion and age of patient was observed, nor subtype of odontogenic disease and localization (mandibular or maxillary).

scholarly journals Incidence and prognosis of myocardial injury in patients with severe trauma

2021 ◽  
Author(s):  
Alexandra Stroda ◽  
Simon Thelen ◽  
René M’Pembele ◽  
Antony Adelowo ◽  
Carina Jaekel ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Hospital Mortality ◽  
Myocardial Injury ◽  
Injury Severity ◽  
Troponin T ◽  
Characteristic Curve ◽  
Severe Trauma ◽  
University Hospital ◽  
Resuscitation Room ◽  
The Impact

Abstract Purpose Severe trauma can lead to end organ damages of varying severity, including myocardial injury. In the non-cardiac surgery setting, there is extensive evidence that perioperative myocardial injury is associated with increased morbidity and mortality. The impact of myocardial injury on outcome after severe trauma has not been investigated adequately yet. We hypothesized that myocardial injury is associated with increased in-hospital mortality in patients with severe trauma. Materials/methods This retrospective cohort study included patients ≥ 18 years with severe trauma [defined as injury severity score (ISS) ≥ 16] that were admitted to the resuscitation room of the Emergency Department of the University Hospital Duesseldorf, Germany, between 2016 and 2019. The main endpoint was in-hospital mortality. Main exposure was myocardial injury at arrival [defined as high-sensitive troponin T (hsTnT) > 14 ng/l]. For statistical analysis, receiver operating characteristic curve (ROC) and multivariate binary logistic regression were performed. Results Out of 368 patients, 353 were included into statistical analysis (72.5% male, age: 55 ± 21, ISS: 28 ± 12). Overall in-hospital mortality was 26.1%. Myocardial injury at presentation was detected in 149 (42.2%) patients. In-hospital mortality of patients with and without myocardial injury at presentation was 45% versus 12.3%, respectively. The area under the curve (AUC) for hsTnT and mortality was 0.76 [95% confidence interval (CI) 0.71–0.82]. The adjusted odds ratio of myocardial injury for in-hospital mortality was 2.27 ([95%CI 1.16–4.45]; p = 0.017). Conclusion Myocardial injury after severe trauma is common and independently associated with in-hospital mortality. Thus, hsTnT might serve as a new prognostic marker in this cohort.

Sign in / Sign up

Export Citation Format

Share Document