Impact of prematurity and the CTG repeat length on outcomes in congenital myotonic dystrophy

Abstract Objective: Approximately half of patients with congenital myotonic dystrophy (CDM) are born preterm. Although the CDM severity depends on the CTG repeat length, prematurity may also affect the prognosis in patients with CDM. Given that preterm birth is expected to increase the risk of CDM in newborns, we investigated the outcomes of newborns with CDM according to gestational age to assess prematurity and the CTG repeat length for predicting prognosis. Results: We assessed the outcomes of 54 infants with CDM using data collected from our hospitals and previously published studies. The patients were divided into mild and severe groups based on clinical outcomes. Multivariate logistic regression analysis was performed to estimate odds ratios (ORs) for CDM prognosis according to gestational age and the CTG repeat length and to construct a predictive model. Logistic regression analysis showed both the CTG repeat and gestational age were significantly associated with severe outcomes in patients with CDM (OR: 45.17, 95% CI: 3.22–633.24; p = .0047 and OR: 0.73, 95% CI: 0.59–0.91; p = .0043, respectively). This predictive model for CDM prognosis exhibited good sensitivity (67%) and specificity (86%). Both prematurity and the CTG repeat length were significantly associated with the CDM severity.

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Impact of prematurity and the CTG repeat length on outcomes in congenital myotonic dystrophy

10.21203/rs.3.rs-24158/v2 ◽

2020 ◽

Author(s):

Yu Saito ◽

Kenta Matsumura ◽

Misao Kageyama ◽

Yuichi Kato ◽

Eiji Ohta ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Predictive Model ◽

Myotonic Dystrophy ◽

Logistic Regression Analysis ◽

Gestational Age ◽

Multivariate Logistic Regression Analysis ◽

Repeat Length ◽

Congenital Myotonic Dystrophy ◽

Ctg Repeat

Abstract Objective: Patients with congenital myotonic dystrophy (CDM) tend to be born preterm. Although the CDM severity generally depends on the CTG repeat length, prematurity may also affect the prognosis in patients with CDM. Given that preterm birth is expected to increase the risk of CDM in newborns, we investigated the outcomes of newborns with CDM according to gestational age to assess prematurity and the CTG repeat length for predicting prognosis. Results: We assessed the outcomes of 54 infants with CDM using data collected from our hospitals and previously published studies. The patients were divided into mild and severe groups based on clinical outcomes. Multivariate logistic regression analysis was performed to estimate odds ratios (ORs) for CDM prognosis according to gestational age and the CTG repeat length and to construct a predictive model. Logistic regression analysis showed both the CTG repeat and gestational age were significantly associated with severe outcomes in patients with CDM (OR:150.24, 95% CI: 5.97–3778.14; p = .0023 and OR: 0.73, 95% CI: 0.58–0.93; p = .0094, respectively). This predictive model for CDM prognosis exhibited good sensitivity (63%) and specificity (86%). Both prematurity and the CTG repeat length were significantly associated with the CDM severity.

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Impact of prematurity and the CTG repeat length on outcomes in congenital myotonic dystrophy

10.21203/rs.3.rs-24158/v3 ◽

2020 ◽

Author(s):

Yu Saito ◽

Kenta Matsumura ◽

Misao Kageyama ◽

Yuichi Kato ◽

Eiji Ohta ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Predictive Model ◽

Myotonic Dystrophy ◽

Logistic Regression Analysis ◽

Gestational Age ◽

Repeat Length ◽

Congenital Myotonic Dystrophy ◽

Using Data ◽

Ctg Repeat

Abstract Objective: Patients with congenital myotonic dystrophy (CDM) tend to be born preterm. Although the CDM severity generally depends on the CTG repeat length, prematurity may also affect the prognosis in patients with CDM. Given that preterm birth is expected to increase the risk of CDM in newborns, we investigated the outcomes of newborns with CDM according to gestational age to assess prematurity and the CTG repeat length for predicting prognosis. Results: We assessed the outcomes of 54 infants with CDM using data collected from our hospitals and previously published studies. The patients were divided into mild and severe groups based on clinical outcomes. Logistic regression analysis was performed to estimate odds ratios (ORs) for CDM prognosis according to gestational age and the CTG repeat length and to construct a predictive model. Logistic regression analysis showed both the CTG repeat and gestational age were significantly associated with severe outcomes in patients with CDM (OR: 32.27, 95% CI: 3.45–300.7; p = .002 and OR: 0.73, 95% CI: 0.58–0.93; p = .0094, respectively). This predictive model for CDM prognosis exhibited good sensitivity (63%) and specificity (86%). Both prematurity and the CTG repeat length were significantly associated with the CDM severity.

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Surgical site infections following caesarean sections at Emirati teaching hospital: Incidence and implicated factors

Scientific Reports ◽

10.1038/s41598-020-75582-9 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Munther S. Alnajjar ◽

Dalia A. Alashker

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

United Arab Emirates ◽

Logistic Regression Analysis ◽

Gestational Age ◽

Multivariate Logistic Regression Analysis ◽

Surgical Site Infections ◽

Multivariate Logistic Regression ◽

Post Discharge ◽

Increased Risk

Abstract The rate of delivery by caesarean sections is increasing globally and, therefore, the incidence of post-caesarean surgical site infections (SSIs) is probably also going to rise. The aim of the present study was to determine the incidence of SSIs after caesarean operations and to explore the factors associated with an increased risk of post-caesarean SSIs. A retrospective study was performed to assess all women who underwent caesarean sections from January 2016 to December 2017 at Al Ain Hospital in the United Arab Emirates (UAE). Backward multivariate logistic regression analysis was utilized to specify the variables that were significantly and independently connected with the development of post-caesarean SSIs. In total, 807 women underwent caesarean deliveries at the study site hospital during the two-year study period (January 2016–December 2017). Post-operative SSI was detected in 11 (1.4%) of the women who underwent caesarean operations. Of these, 11 (100%) women were diagnosed post-discharge, within 30 days after the date of the surgery. Multivariate logistic regression analysis showed that increased gestational age (P = 0.045) was significantly and independently associated with the development of post-caesarean SSI. Increased gestational age was found to be an independent predictor of post-caesarean SSIs. This identified risk factor should inform targeted health care policies to reduce the rate of SSIs.

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Pretreatment Absolute Neutrophil-to-Lymphocyte Ratio (NLR) Predict the Risk for Febrile Neutropenia in the First Cycle Adjuvant Chemotherapy for Breast Cancer

Asian Pacific Journal of Cancer Biology ◽

10.31557/apjcb.2020.5.3.81-87 ◽

2020 ◽

Vol 5 (3) ◽

pp. 81-87 ◽

Cited By ~ 1

Author(s):

Chaichana Chantharakhit ◽

Nantapa Sujaritvanichpong

Keyword(s):

Breast Cancer ◽

Logistic Regression ◽

Regression Analysis ◽

Adjuvant Chemotherapy ◽

Febrile Neutropenia ◽

Predictive Model ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Predictive Biomarker ◽

Multivariate Logistic Regression

Background: Chemotherapy-induced febrile neutropenia (FN) is a condition affecting mortality and morbidity. The records show that absolute neutrophil-to-lymphocyte ratio (NLR) is associated with the cancer prognosis and reflects the immune response system on the infection. It can be used as an independent prognostic biomarker and predictive marker in patients with chronic inflammatory diseases, cardiovascular diseases, or malignancies. Therefore, we have been conducted on using absolute NLR to predict FN in a patient with breast cancer who has adjuvant chemotherapy. Materials and Methods: The authors retrospectively evaluated the pretreatment absolute NLR of patients with early stage breast cancer who had adjuvant chemotherapy. Then, the relationship to FN was analyzed by using multivariate logistic regression analysis. Results: We conducted a retrospective analysis of 339 patients where 21 patients had developed FN (6.19%). The multivariate logistic regression analysis results indicated that the pretreatment absolute NLR cut-off point equal to or greater than 2.4 was a significant independent predictive biomarker of the chemotherapy-induced FN (odds ratio = 2.810, 95%,; CI 1.061 - 7.442; p = 0.038). The predictive performance of the high level of absolute NLR was an acceptable discrimination [AUC= 0.7626 (95% and CI 0.650 - 0.875)]. Furthermore, a calibration curve and the Hosmer-Lemeshow test to assess the accuracy of the predictive model showed a goodness of fit for a logistic predictive model (Hosmer-Lemeshow chi2 = 2.50; p = 0.645). Conclusions: Pretreatment absolute NLR would be a useful predictive biomarker for febrile neutropenia after the first cycle of adjuvant chemotherapy for breast cancer that would be simple and easy to integrate in daily practice without extra costs.

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ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

Jurnal Penelitian Kebidanan & Kespro ◽

10.36656/jpk2r.v2i1.178 ◽

2019 ◽

Vol 2 (1) ◽

pp. 27-33

Author(s):

Megawati Sinambela ◽

Evi Erianty Hasibuan

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Antenatal Care ◽

Pregnant Women ◽

Logistic Regression Analysis ◽

Care Service ◽

Multivariate Logistic Regression Analysis ◽

Bivariate Analysis ◽

Cross Sectional ◽

The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

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Efficacy of flurbiprofen axetil for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries

JA Clinical Reports ◽

10.1186/s40981-020-00403-x ◽

2020 ◽

Vol 6 (1) ◽

Author(s):

Atsushi Kotera

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Postoperative Pain ◽

Logistic Regression Analysis ◽

Pain Control ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression ◽

Postoperative Pain Control ◽

Flurbiprofen Axetil ◽

Postanesthetic Shivering

Abstract Background Postanesthetic shivering is an unpleasant adverse event in surgical patients. A nonsteroidal anti-inflammatory drug has been reported to be useful in preventing postanesthetic shivering in several previous studies. The aim of this study was to evaluate the efficacy of flurbiprofen axetil being a prodrug of a nonsteroidal anti-inflammatory drug for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries. Method This study is a retrospective observational study. I collected data from patients undergoing gynecologic laparotomy surgeries performed between October 1, 2019, and September 30, 2020, at Kumamoto City Hospital. All the patients were managed with general anesthesia with or without epidural analgesia. The administration of intravenous 50 mg flurbiprofen axetil for postoperative pain control at the end of the surgery was left to the individual anesthesiologist. The patients were divided into two groups: those who had received intravenous flurbiprofen axetil (flurbiprofen group) and those who had not received intravenous flurbiprofen axetil (non-flurbiprofen group), and I compared the frequency of postanesthetic shivering between the two groups. Additionally, the factors presumably associated with postanesthetic shivering were collected from the medical charts. Intergroup differences were assessed with the χ2 test with Yates’ correlation for continuity category variables. The Student’s t test was used to test for differences in continuous variables. Furthermore, a multivariate logistic regression analysis was performed to elucidate the relationship between the administration of flurbiprofen axetil and the incidence of PAS. Results I retrospectively examined the cases of 141 patients aged 49 ± 13 (range 21-84) years old. The overall postanesthetic shivering rate was 21.3% (30 of the 141 patients). The frequency of postanesthetic shivering in the flurbiprofen group (n = 31) was 6.5%, which was significantly lower than that in the non-flurbiprofen group (n = 110), 25.5% (p value = 0.022). A multivariate logistic regression analysis showed that administration of flurbiprofen axetil was independently associated with a reduced incidence of postanesthetic shivering (odds ratio 0.12; 95% confidence interval, 0.02-0.66, p value = 0.015). Conclusions My result suggests that intraoperative 50 mg flurbiprofen axetil administration for postoperative pain control is useful to prevent postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries.

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Risk factors for tissue expander infection in scar reconstruction: a retrospective cohort study of 2374 consecutive cases

Burns & Trauma ◽

10.1093/burnst/tkaa037 ◽

2020 ◽

Vol 8 ◽

Author(s):

Chen Dong ◽

Minhui Zhu ◽

Luguang Huang ◽

Wei Liu ◽

Hengxin Liu ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Treatment Failure ◽

Logistic Regression Analysis ◽

Disease Duration ◽

Multivariate Logistic Regression Analysis ◽

Tissue Expansion ◽

Multivariate Logistic Regression ◽

Hematoma Evacuation

Abstract Background Tissue expansion is used for scar reconstruction owing to its excellent clinical outcomes; however, the complications that emerge from tissue expansion hinder repair. Infection is considered a major complication of tissue expansion. This study aimed to analyze the perioperative risk factors for expander infection. Methods A large, retrospective, single-institution observational study was carried out over a 10-year period. The study enrolled consecutive patients who had undergone tissue expansion for scar reconstruction. Demographics, etiological data, expander-related characteristics and postoperative infection were assessed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for expander infection. In addition, we conducted a sensitivity analysis for treatment failure caused by infection as an outcome. Results A total of 2374 expanders and 148 cases of expander infection were assessed. Treatment failure caused by infection occurred in 14 expanders. Multivariate logistic regression analysis identified that disease duration of ≤1 year (odds ratio (OR), 2.07; p < 0.001), larger volume of expander (200–400 ml vs <200 ml; OR, 1.74; p = 0.032; >400 ml vs <200 ml; OR, 1.76; p = 0.049), limb location (OR, 2.22; p = 0.023) and hematoma evacuation (OR, 2.17; p = 0.049) were associated with a high likelihood of expander infection. Disease duration of ≤1 year (OR, 3.88; p = 0.015) and hematoma evacuation (OR, 10.35; p = 0.001) were so related to high risk of treatment failure. Conclusions The rate of expander infection in patients undergoing scar reconstruction was 6.2%. Disease duration of <1 year, expander volume of >200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

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Cross-Sectional Examination of Homocysteine Levels with Sarcopenia and Its Components in Memory Clinic Outpatients

Journal of Alzheimer s Disease ◽

10.3233/jad-210083 ◽

2021 ◽

pp. 1-10

Author(s):

Yosuke Yamada ◽

Hiroyuki Umegaki ◽

Fumie Kinoshita ◽

Chi Hsien Huang ◽

Taiki Sugimoto ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

Cognitive Function ◽

Linear Regression ◽

Logistic Regression Analysis ◽

Linear Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Memory Clinic ◽

Cross Sectional

Background: Homocysteine is a common risk factor for cognitive impairment and sarcopenia. However, very few studies have shown an association between sarcopenia and serum homocysteine levels after adjustment for cognitive function. Objective: The purpose of this study was to investigate the relationship between homocysteine and sarcopenia in memory clinic patients. Methods: This cross-sectional study investigated outpatients in a memory clinic. We enrolled 1,774 participants (≥65 years old) with measured skeletal muscle mass index (SMI), hand grip strength (HGS), and homocysteine. All participants had undergone cognitive assessments and were diagnosed with dementia, mild cognitive impairment, or normal cognition. Patient characteristics were compared according to sarcopenia presence, SMI level, or HGS. Multivariate logistic regression analysis was performed to determine the association of homocysteine with sarcopenia, low SMI, or low HGS. Next, linear regression analysis was performed using HGS as a continuous variable. Results: Logistic regression analysis showed that low HGS was significantly associated with homocysteine levels (p = 0.002), but sarcopenia and low SMI were not. In linear regression analysis, HGS was negatively associated with homocysteine levels after adjustment for Mini-Mental State Examination score (β= –2.790, p < 0.001) or clinical diagnosis of dementia (β= –3.145, p < 0.001). These results were similar for men and women. Conclusion: Our results showed a negative association between homocysteine and HGS after adjustment for cognitive function. Our findings strengthen the assumed association between homocysteine and HGS. Further research is needed to determine whether lower homocysteine levels lead to prevent muscle weakness.

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