Evaluation of clinical parameters for predicting hospital stay in neonates

نویسندگان

  • Gaurav Singla Senior Resident, Dayanand Medical College and Hospital, Ludhiana,Punjab,India
  • Harmesh Singh Bains Professor & Head DMC &H, Ludhiana Punjab,India
  • Ravinder Soni Professor Department of Community Medicine Dayanand Medical College and Hospital Ludhiana, Punjab, India
چکیده مقاله:

Objective: To predict hospital stay by using various clinical parameters at admission.Patients and Methods: This prospective observational study was conducted over a period of one year (Jan – Dec 2010) in a tertiary level teaching hospital in North India. Out of 344 neonates admitted, 41 left against medical advice and were excluded. At time of admission, initial vital signs were noted along with basic information. All neonates were assessed on the basis of clinical parameters and followed up to the discharge/death. Final outcome was noted in terms of total duration of hospital stay in survived and non survived neonates. In the statistical analysis, Odds ratio along with 95% confidence intervals was calculated for each parameter and significant associations (p value ≤ 0.05) were studied. Results: Of 30 clinical variables, 18 were found to be significantly associated with prolonged hospitalization viz more than 7days in survived neonates. These include abnormal heart rate (>160/min or 60/min or

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

evaluation of clinical parameters for predicting hospital stay in neonates

objective: to predict hospital stay by using various clinical parameters at admission.patients and methods: this prospective observational study was conducted over a period of one year (jan – dec 2010) in a tertiary level teaching hospital in north india. out of 344 neonates admitted, 41 left against medical advice and were excluded. at time of admission, initial vital signs were noted along wi...

متن کامل

Reducing Hospital Stay in Neonates with Suspected Sepsis

'Suspected sepsis' is one of the most commonly made diagnoses on any neonatal intensive care unit (NICU). Most neonates are discharged after 48 hours following negative blood culture results, thus inefficient analyses of these samples leads to delays in discharge. A baseline study demonstrated that, on average, discharge was delayed by four hours per neonate, with a range of up to 21 hours, wit...

متن کامل

Telehealth Factors for Predicting Hospital Length of Stay.

Identifying older adults with heart failure at risk for hospital readmission is challenging, and risk prediction models may be improved with inclusion of telehealth factors. In the current study, demographic, clinical, telehealth, and use data for emergency department (ED) presentations, hospitalizations, and length of stay (LOS) were collected from the records of 187 Veterans with heart failur...

متن کامل

a new injury severity score for predicting the length of hospital stay in multiple trauma patients

conclusions this new suggested scale shows a better value to predict patients’ length of hospital stay compared to iss and niss. however, future studies with larger sample sizes and more confounding factors such as prehospital procedures, intubation and other procedures during admission, should be designed to examine these scoring systems and confirm the results of our study. background trauma ...

متن کامل

evaluation of sadr eminence in safavid period

چکیده: یکی از دوره های مهم تاریخی ایران به لحاظ تأمین استقلال ملی مذهبی و حتی تأثیر آن بر فرهنگ و مذهب ایرانیان، دوره صفویه است. رسمیت دادن و رواج مذهب شیعه توسط شاه اسماعیل اول، یکی از مهمترین اقدامات این دولت محسوب می شود. بنابراین برای اجرای این سیاست، وی منصب صدارت را به عنوان منصبی مذهبی- حکو متی ایجاد کرد .این منصب از دوره ی تیموریان ایجاد شده بود ولی در اواخر این دوره اهمیت بیشتری یافت...

15 صفحه اول

discriminative power of euroscore in predicting morbidity and prolonged hospital stay in an iranian sample population

background: euroscore is a simple and rigorous risk stratification model and is, thus, commonly used in predicting the early and late outcomes of cardiac surgery across the world. we aimed to assess the discriminative power of the euroscore model to predict postoperative morbidity and total prolonged length of stay in hospital (los) and intensive care unit (icu) stay in an iranian group of card...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 6  شماره 3

صفحات  6- 11

تاریخ انتشار 2015-09-01

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023