High Risk of One-year Stroke Recurrence in Patients with Younger Age and Prior History of Ischemic Stroke

Background and Purpose: Recurrent ischemic strokes increase the risk of disability and mortality. The role of conventional risk factors in recurrent strokes may change due to increased awareness of prevention strategies. The aim of this study was to explore the potential risk factors besides conventional ones which may help to affect the advances in future preventive concepts associated with one-year stroke recurrence (OSR). Methods: We analyzed 6,632 adult patients with ischemic stroke. Differences in clinical characteristics between patients with and without OSR were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. Results: Among the study population, 525 patients (7.9%) had OSR. Multivariate logistic regression analysis revealed that male sex (OR 1.243, 95% CI 1.025 – 1.506), age (OR 1.015, 95% CI 1.007 - 1.023), and a prior history of ischemic stroke (OR 1.331, 95% CI 1.096 – 1.615) were major factors associated with OSR. CART analysis further identified age and a prior history of ischemic stroke were important factors for OSR when classified the patients into three subgroups (with risks of OSR of 8.8%, 3.8%, and 12.5% for patients aged > 57.5 years, ≤ 57.5 years/with no prior history of ischemic stroke, and ≤ 57.5 years/with a prior history of ischemic stroke, respectively). Conclusions: Male sex, age, and a prior history of ischemic stroke could increase the risk of OSR by multivariate logistic regression analysis, and CART analysis further demonstrated that patients with a younger age (≤ 57.5 years) and a prior history of ischemic stroke had the highest risk of OSR.

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Risk factors affecting the 1-year outcomes of minor ischemic stroke: results from Xi’an stroke registry study of China[1]

10.21203/rs.3.rs-38303/v2 ◽

2020 ◽

Author(s):

Zhongzhong Liu ◽

Wenjuan Lin ◽

Qingli Lu ◽

Jing Wang ◽

Pei Liu ◽

...

Keyword(s):

Risk Factors ◽

Regression Analysis ◽

Ischemic Stroke ◽

Multivariate Logistic Regression Analysis ◽

Stroke Recurrence ◽

Multivariate Logistic Regression ◽

Factors Affecting ◽

Nihss Score ◽

Minor Ischemic Stroke ◽

Independent Risk Factors

Abstract Background: The incidences of stroke recurrence, disability, and all-cause death of patients with minor ischemic stroke (MIS) remain problematic. The aim of the present was to identify risk factors associated with adverse outcomes at 1-year after MIS in the Xi’an region of China. Methods: The cohort of this prospective cohort study included MIS patients aged 18–97 years with a National Institutes of Health Stroke Scale (NIHSS) score of ≤ 3 who were treated in any of four hospitals in Xi’an region of China between January and December 2015. The 1-year percentage of stroke recurrence, disability, and all-cause death were evaluated. Multivariate logistic regression analysis was performed to assess the association between the identified risk factors and clinical outcomes. Results: Among the 1,121 patients included for analysis, the percentage of stroke recurrence, disability, and all-cause death at 1 year after MIS were 3.4% (38/1121), 9.3% (104/1121), and 3.3% (37/1121), respectively. Multivariate logistic regression analysis identified age, current smoking, and pneumonia as independent risk factors for stroke recurrence. Age, pneumonia, and alkaline phosphatase were independent risk factors for all-cause death. Independent risk factors for disability were age, pneumonia, NIHSS score on admission, and leukocyte count. Conclusions: The 1-year outcomes of MIS is not optimistic in the Xi’an region of China, especially high percentage of disability. In this study, we found the risk factors affecting 1-year stroke recurrence, disability and, all-cause death which need further verification in the subsequent studies.

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Decreased eGFR Is Associated With Ischemic Stroke in Patients With Dilated Cardiomyopathy

Clinical and Applied Thrombosis/Hemostasis ◽

10.1177/1076029619866909 ◽

2019 ◽

Vol 25 ◽

pp. 107602961986690 ◽

Cited By ~ 1

Author(s):

Yuqing Deng ◽

Zhiqing Chen ◽

Lili Hu ◽

Zhenyan Xu ◽

Jinzhu Hu ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Dilated Cardiomyopathy ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Analysis Model ◽

Multivariate Logistic Regression ◽

Increased Risk

Dilated cardiomyopathy (DCM) is increasingly indicated as a cause of cardioembolic syndrome, in particular, cardioembolic ischemia stroke. However, the potential risk factors for stroke among DCM patients remain under investigated. DCM patients hospitalized from June 2011 to June 2016 were included. The cases were defined as the group of DCM patients with stroke compared with those without stroke. Clinical characteristic data were collected and compared between the two groups including demographic data, complicated diseases, echocardiography index, and laboratory parameters and estimated glomerular filtration rate (eGFR). A multivariate logistic regression analysis model adjusted by sex and age was used to explore the related risk factors for stroke in DCM patients. A total of 779 hospitalized patients with DCM were included. Of these, 55 (7.1%) had experienced a stroke. Significantly lower eGFR levels (68.03 ± 26.22 vs 79.88 ± 24.25 mL/min/1.73 m2, P = .001) and larger left atrial diameters (45.32 ± 7.79 vs 43.25 ± 7.11 mm, P = .04) were found in the group of patients having DCM with stroke compared to those without stroke. When the eGFR was categorized as eGFR >60, 30<eGFR≤ 60 and eGFR ≤ 30, there were more patients with 30<eGFR≤ 60 (30.9% vs 17.7%) and eGFR≤ 30 (9.1% vs 3.3%) in the ischemic stroke group ( P = 0.003). A multivariate logistic regression analysis model adjusted by sex and age showed that 30 <eGFR≤60 (odds ratio [OR]: 2.07, 95% confidence interval [CI]: [1.05-4.07], P = .035) and eGFR≤30 (OR: 4.04, 95% CI: [1.41-11.62], P = .009) were statistically associated with ischemic stroke in patients with DCM. It is concluded that decreased eGFR is significantly associated with an increased risk of ischemic stroke in patients with DCM.

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Risk factors for periprocedural ischemic stroke following endovascular treatment of intracranial aneurysms

Chinese Neurosurgical Journal ◽

10.1186/s41016-021-00255-z ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Yisen Zhang ◽

Chao Wang ◽

Zhongbin Tian ◽

Wei Zhu ◽

Wenqiang Li ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Treatment Modality ◽

Intracranial Aneurysms ◽

Univariate Analysis ◽

Multivariate Logistic Regression Analysis ◽

Flow Diverter ◽

Multivariate Logistic Regression

Abstract Background The aim of this study was to comprehensively evaluate the risk factors of periprocedural ischemic stroke associated with endovascular treatment of intracranial aneurysms using a real-world database. Methods From August 2016 to March 2017, 167 patients were enrolled. Univariate analysis and multivariate logistic regression analysis were used to examine the risk factors for periprocedural ischemic stroke. Results Among the 167 cases, periprocedural ischemic stroke occurred in 20 cases (11.98%). After univariate analysis, the ischemic group had a higher proportion of large (≥ 10 mm) aneurysms than the control group (45.0% vs. 23.1%, p = 0.036). The incidence of periprocedural ischemic stroke was higher in cases treated by flow diverter (21.6%) or stent-assisted coiling (11.8%) than in cases treated by coiling only (2.7%), and the differences were statistically significant (p = 0.043). After multivariate logistic regression analysis, treatment modality was the independent risk factor for periprocedural ischemic stroke. Compared with the coiling-only procedure, flow diverter therapy was associated with a significantly higher rate of periprocedural ischemic stroke (OR 9.931; 95% CI 1.174–84.038; p = 0.035). Conclusions Aneurysm size and treatment modality were associated with periprocedural ischemic stroke. Larger aneurysms were associated with increased risk of periprocedural ischemic stroke. Flow diverter therapy was associated with significantly more periprocedural ischemic stroke than the coiling procedure alone.

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Risk Factors for Ischaemic Stroke in an Omani Community

Sultan Qaboos University Medical Journal [SQUMJ] ◽

10.18295/squmj.4.2021.043 ◽

2021 ◽

Author(s):

Shyam Sundar Ganguly ◽

Arunodaya R. Gujjar ◽

Hasina Al Harthi ◽

Amal Al Hashmi ◽

Sanjay Jaju ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Ischemic Stroke ◽

Family History ◽

High Density Lipoprotein ◽

Multivariate Logistic Regression Analysis ◽

Density Lipoprotein ◽

Case Control ◽

High Density ◽

History Of

Objectives: Stroke is recognized to be the third most common cause of mortality, with increasing incidence among developing countries. Recognition and control of risk factors is of prime importance in the prevention of stroke. We aimed to study the characteristics of ischemic stroke (IS) patients in Oman, and quantify its various risk factors using a case-control model. Methods: This study conducted from January 2012 to March 2013 included 255 adult Omani patients with IS admitted to two premier hospitals in Oman, compared to 255 age- and gender-matched controls. Demographic factors and frequency of various conventional risk factors were documented. Univariate and step-wise multivariate logistic regression analysis were performed to evaluate the risk factors associated for IS. Results: Of the 255 cases, 63% were males. The mean age was 62.2 ± 13.2 years. Most of the cases (89%) were above 45 years of age. Cardio-embolism(32%) was the commonest mechanism of IS. The stepwise multiple logistic regression model revealed that family history of stroke was the strongest independent risk factor with odds ratio (OR) of 10.10, followed by hypertension with OR of 5.17 and high-density lipoprotein with OR 3.34 (p< 0.01). Conclusions: Cardio-embolism was the predominant mechanism of IS in this study. Family history of stroke, hypertension and reduced high-density lipoprotein were the leading independent risk factors. Strong emphasis on screening for risk factors, control of hypertension and life-style modification for those with family history of stroke, would be expected to emerge as the major stroke-preventive measures in Oman. Keywords: Ischemic stroke; Risk factors; Case-control study; Oman.

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Delayed Stroke Treatment during COVID-19 Pandemic in China

10.1101/2020.11.17.20228122 ◽

2020 ◽

Author(s):

Shiyuan Gu ◽

Zhengze Dai ◽

Huachao Shen ◽

Yongjie Bai ◽

Xiaohao Zhang ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Acute Stroke ◽

Acute Ischemic Stroke ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Intravenous Thrombolysis ◽

Multivariate Logistic Regression ◽

Delayed Treatment

ABSTRACTBackgroundSocial distance, quarantine, pathogen testing and other preventive strategies implemented during COVID-19 pandemic may negatively influence the management of acute stroke.ObjectiveThe current study aimed to evaluate the impacts of COVID-19 pandemic on treatment delay of acute stroke in China.MethodsThis study included patients with acute stroke admitted in two hospitals in Jiangsu, China. Patients admitted before and after the COVID-19 epidemic outbreak (January 31, 2020, as officially announced by Chinese government) were compared for pre- (measured as onset-to-door time) and post-hospital delay (measured as door-to-needle time). The influence factors for delayed treatment (indicated as onset-to-needle time >4.5 hours) were analyzed with multivariate logistic regression analysis.ResultsOnset-to-door time increased from 202 min (IQR 65-492) before to 317 min (IQR 75-790) after the COVID-19 pandemic (P=0.001). Door-to-needle time increased from 50min (IQR 40-75) before to 65 min (IQR 48-84) after the COVID-19 pandemic (P=0.048). The proportion of patients with intravenous thrombolysis in those with acute ischemic stroke was decreased significantly after the pandemic (15.4% vs 20.1%; P=0.030). Multivariate logistic regression analysis indicated that patients after COVID-19 pandemic, lower educational level, rural residency, mild symptoms and transported by other means than ambulance were associated with delayed treatment.ConclusionsCOVID-19 pandemic has remarkable impacts on the management of acute ischemic stroke. Both pre- and post-hospital delays were prolonged significantly, and proportion of patient arrived within the 4.5-hour time window for intravenous thrombolysis treatment was decreased. Given that anti-COVID-19 measures are becoming medical routines, efforts are warranted to shorten the delay so that the outcomes of stroke could be improved.

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Siesta and Risk for Ischemic Stroke: Results from a Case-Control Study

Medicina ◽

10.3390/medicina56050222 ◽

2020 ◽

Vol 56 (5) ◽

pp. 222

Author(s):

Yousef Mohammad

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Protective Effect ◽

Case Control Study ◽

Multivariate Logistic Regression Analysis ◽

Case Control ◽

Multivariate Logistic Regression ◽

Neurology Clinic ◽

Control Study

Background and objectives: Siesta, which is a short afternoon nap, is a habit that is commonly practiced in the Mediterranean and tropical areas. Data on the association between siesta and coronary artery disease has been conflicting. A protective effect has been demonstrated in the countries that commonly practice siesta, but a harmful effect has been observed in the countries that infrequently practice the siesta habit. Information on the association between siesta and ischemic stroke has been, however, lacking. Hence, the purpose of our study was to determine the effect of siesta on ischemic stroke. Materials and Methods: This was a case-control study, conducted on the patients with acute ischemic stroke who came for their first follow-up visit to the neurology clinic. Controls were randomly selected from the patients visiting the neurology clinic on the same day as the patients with ischemic stroke. In addition to basic demographics and the occurrence of established stroke risk factors, information about siesta practice was also collected from both groups. A multivariate logistic regression analysis was utilized to determine the relationship between siesta practice and ischemic stroke. Results: A total of 206 patients were recruited from the neurology clinic of King Khalid university hospital; of which only 194 subjects were included in the analysis (98 ischemic stroke cases and 96 controls). The mean age of the participants was 59.68 ± 13.75 years and 98 (50.52%) were male. Interestingly, 43% of the whole study cohort practiced regular siesta. However, when compared to the stroke population, the control group practiced siesta more frequently (30% vs. 56%). In a multivariate logistic regression analysis, hypertension, diabetes mellitus, excess body weight (body mass index > 25 kg/m2) and dyslipidemia were found to increase the risk of ischemic stroke (OR 2.12, 95% CI: 1.02–4.66, p = 0.005; OR 2.72, 95% CI: 1.94–4.88, p = 0.014; OR 2.94, 95% CI: 1.5164–5.7121 p = 0.0014; OR 3.27, 95% CI: 2.42–5.199, p ≤ 0.001, respectively). On the contrary, the practice of regular siesta lowered the risk of ischemic stroke (OR 0.58, 95% CI: 0.3551–0.9526, p = 0.031). Conclusions: Siesta was associated with a reduced risk for the occurrence of ischemic stroke. Large prospective longitudinal studies should be conducted to verify the protective effect of siesta on stroke.

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Diabetes and Younger Age Are Vital and Independent Risk Factors for Acute Pancreatitis in Patients with Severe Hypertriglyceridemia

BioMed Research International ◽

10.1155/2019/2620750 ◽

2019 ◽

Vol 2019 ◽

pp. 1-6

Author(s):

Qiang Li ◽

Chaoqun Hou ◽

Yunpeng Peng ◽

Xiaole Zhu ◽

Chenyuan Shi ◽

...

Keyword(s):

Risk Factors ◽

Acute Pancreatitis ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Severe Hypertriglyceridemia ◽

Younger Age ◽

History Of ◽

Independent Risk Factors

Background. The incidence of hypertriglyceridemia-induced acute pancreatitis (HIAP) is increasing worldwide, and now it is the third leading cause of acute pancreatitis in the United States. But, there are only 5% of patients with severe hypertriglyceridemia (>1000 mg/dl) which might generate acute pancreatitis. In order to explore which part of the patients is easy to develop into pancreatitis, a case-control study was performed by us to consider which patient population tend to develop acute pancreatitis in patients with severe hypertriglyceridemia. To perform a retrospective case-control study, we identified severe hypertriglyceridemia patients without AP (HNAP) and with HIAP with a fasting triglyceride level of >1000 mg/dl from The First Affiliated Hospital of Nanjing Medical University during January 1, 2014, to December 31, 2016. Baseline patient characteristics, comorbidities, and risk factors were recorded and evaluated by the univariate and multivariate logistic regression analysis for HIAP and HNAP patients. A total of 124 patients with severe hypertriglyceridemia were included in this study; of which, 62 patients were in the HIAP group and 62 were in the HNAP group. Univariate logistic regression analysis showed that there was no gender difference in both groups; however, there were more younger patients in the HIAP group than in the HNAP group (P value < 0.001), and the HIAP group had low level of high-density lipoprotein compared to the HNAP group (P<0.05). Meanwhile, the presence of pancreatitis was associated with higher level of glycemia and a history of diabetes (P<0.05). Multivariate logistic regression analysis indicated that a history of diabetes and younger age were independent risk factors for acute pancreatitis in patients with severe hypertriglyceridemia. Uncontrolled diabetes and younger age are potential risk factors in patients with severe hypertriglyceridemia to develop acute pancreatitis.

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Abstract TP176: Risk Factors and Clinical Significances of the Quantitative CTA Vascular Calcification in Ischemic Stroke Patients

Stroke ◽

10.1161/str.51.suppl_1.tp176 ◽

2020 ◽

Vol 51 (Suppl_1) ◽

Author(s):

Takashi Shimoyama ◽

Sibaji Gaj ◽

Kunio Nakamura ◽

Shivakrishna Kovi ◽

Ken Uchino

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Vascular Calcification ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression ◽

Stroke Patients ◽

Age Category

Background and Purpose: Intracranial arterial calcification is a marker of atherosclerosis burden in the general population. The aim of the study is to investigate risk factor profiles of vascular calcification in ischemic stroke patients. Methods: We identified ischemic stroke patients who underwent complete CTA from a prospective single-hospital stroke registry in 2018. Automatic artery and calcification segmentation method measured calcification volumes in the intracranial, extracranial, and aortic arteries using deep-learning U-net model and region-grow algorithms. Severe vascular calcification was defined as patients in the upper quartile calcification volume. The prevalence of severe vascular calcification and mean calcification volume were investigated by age category (<60 years, 60-70 years, 70-80 years, 80 years ≥). The relation between each potential risk factors and severe vascular calcification was assessed using the multivariate logistic regression analysis adjusted for age, sex, NIHSS score, and TOAST stroke subtypes. Results: Of the 558 consecutive acute ischemic stroke patients, 388 patients (212 males; mean age 66.6±14.2 years) met inclusion and with quantitative CTA calcification. The prevalence of severe vascular calcification (CTA calcification volume> 812 mm 3 ) increased with increasing age category (<60 years: 6.8% (7/103), 60-70 years: 15.7% (18/115), 70-80 years: 39.6% (38/105), 80 years ≥: 45.9% (34/74), P<0.001 for χ 2 test). Over age 80 years subsets had significantly higher mean calcification volume with 1213 mm 3 than other age category (<60 years: 225 mm 3 , P<0.001; 60-70 years: 462 mm 3 , P<0.001; 70-79 years: 817 mm 3 , P=0.020 for t-test). In the multivariate logistic regression analysis, age (OR 1.096, 95% CI 1.066-1.128, P<0.001), smoking (OR 3.430, 95% CI 1.833-6.419, P<0.001), and large artery atherosclerosis (LAA) (OR 4.260, 95% CI 1.963-9.247, P<0.001) were independently associated with severe vascular calcification. Conclusion: In the quantitative CTA analysis of calcification volume, older age and smoking were high risk for severe atherosclerotic calcium burden in ischemic stroke patients. Moreover, severe vascular calcification may differentiate LAA from other stroke etiology.

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Abstract 147: The Association Between Hematocrit and Mortality among Ischemic Stroke Patients

Stroke ◽

10.1161/str.43.suppl_1.a147 ◽

2012 ◽

Vol 43 (suppl_1) ◽

Author(s):

Jason J Sico ◽

Laura J Myers ◽

Dede Ordin ◽

Linda S Williams ◽

Dawn M Bravata

Keyword(s):

Logistic Regression ◽

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Stroke Mortality ◽

Multivariate Logistic Regression ◽

P Values ◽

Time Points ◽

Post Stroke ◽

One Year ◽

The Relationship

Introduction: Anemia is associated with higher mortality among patients with such non-stroke vascular conditions as heart failure and myocardial infarction. Less is known regarding the relationship between anemia and mortality among patients with acute ischemic stroke. Methods: Medical records were abstracted for a sample of 3965 veterans from 131 Veterans Health Administration (VHA) facilities who were admitted for a confirmed diagnosis of ischemic stroke (fiscal year 2007). Hematocrit (Hct) values from 24-hours of admission were categorized into 6-tiers (≤27%, 28-32%, 33-37%, 38-42%, 43-47%, ≥48%). We excluded patients with: female gender (n=95), incomplete Hct data (n=94), thrombolysis (n=32), and inconsistent death dates (n=6). We used multivariate logistic regression to examine the relationship between anemia and in-hospital, 30-day, 60-day and one-year mortality using multivariate logistic regression models for each time point, adjusting for age, NIHSS, comorbidity (including pneumonia), and Acute Physiology and Chronic Health Evaluation (APACHE)-III scores. The discrimination (c-statistics) and calibration (Hosmer-Lemeshow goodness of fit [HLGOF]) statistics were generated to gauge model performance and fit. Results: Approximately 2.1% of the N=3750 patients presented with Hcts ≤27%, 6.2% were 28-32%, 17.9% were 33-37%, 36.4% were 38-42%, 28.2% were 43-47%, and 9.1% were ≥48%. Adjusted mortality odds at all time points were 2.5 to 3.5 times higher for those with ≤Hct 27% (p values < 0.013 for in-hospital and 30-day mortality; p values at 6 months and one year were 0.002 and 0.001, respectively). Mortality risk at 6 months and 1 year showed a significant and dose-response relationship to Hct for all Hct groups <38%. High Hcts were independently associated only with in-hospital mortality and only in those with Hct ≥48 (OR 2.9, p=0.004). Models performed well across time points (C=0.813, HLGOF=0.9684 [in-hospital]; C=0.832, HLGOF=0.8186 [30-day]; C=0.863, HLGOF=0.7307 [60-day]; C=0.880, HLGOF=0.4313 [one-year]). Conclusions: Even a moderate level of anemia is independently associated with an increased risk of death during the first year following acute ischemic stroke. Very low or very high Hct is associated with early post-stroke mortality. Further work is required to evaluate whether interventions that treat anemia, its complications and underlying etiologies may also reduce post-stroke mortality.

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Nomogram-Based Prediction of the Risk of Macrosomia: A Prospective Cohort Study in a Chinese Population

10.21203/rs.3.rs-268792/v1 ◽

2021 ◽

Author(s):

Jing Du ◽

Sanbao Chai ◽

Xin Zhao ◽

Jianbin Sun ◽

Ning Yuan ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Cohort Study ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Operating Characteristic ◽

Multivariate Logistic Regression Analysis ◽

Maternal Factors ◽

Multivariate Logistic Regression ◽

History Of

Abstract Objective: This study aimed to establish a nomogram for predicting the risk of macrosomia in early pregnancy.Methods: We performed a prospective cohort study involving 1,549 pregnant women. According to the birth weight of newborn, the subjects were divided into two groups: macrosomia group and non-macrosomia group. Multivariate logistic regression was used to analyze the risk factors for macrosomia.Results: The prevalence of macrosomia was 6.13% (95/1549) in our hospital. Multivariate logistic regression analysis showed the risk factors of macrosomia were prepregnancy overweight (OR: 2.126, 95% CI: 1.181-3.826)/obesity (OR: 3.536, 95% CI: 1.555-8.036), multiparity (OR:1.877, 95% CI: 1.160-3.039), the history of macrosomia (OR: 36.971, 95% CI: 19.903-68.674), the history of GDM/DM (OR: 2.285, 95% CI: 1.314-3.976), the higher levels of HbA1c (OR: 1.763, 95% CI: 1.004-3.097) and TC (OR: 1.360, 95% CI: 1.004-1.842). A nomogram was developed for predicting macrosomia based on maternal factors related to the risk of macrosomia in early pregnancy. The area under the receiver operating characteristic (ROC) curve of the nomogram was 0.807 (95% CI: 0.755–0.859), the sensitivity and specificity of the model were 0.716 and 0.777, respectively.Conclusion: The nomogram model provides an accurate mothed for clinicians to early predict macrosomia.

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