A retrospective study of emergency obstetric hysterectomy in a tertiary care center for a period of 5 years

Background: The study was conducted to determine the frequency, demographic characteristics, indication and fetomaternal outcome associated with emergency obstetric hysterectomy in a tertiary care center.Methods: Thirty cases of emergency obstetric hysterectomy performed during the five-year period from April 2011 to April 2016 were analyzed in the dept. of Gynae and obs. in Shri Guru Ram Rai Institute of Medical Sciences in Dehradun.Results: During the study period there were 30 cases of obstetric hysterectomy out of 8084 deliveries giving an incidence of 0.37%. Majority of the patients (60%) were unbooked and were in the age group of 26-30 (43.3%). Common parity group were 3, 4 and 5. Morbid adherent placenta was the most common indication contributing to 40% of the cases. There were four maternal deaths in the study. All were unbooked and three of them died of hypovolemic shock with cardiopulmonary arrest and one died of septicemia. Whereas there were 60% perinatal mortality and 26.66% NICU admissions.Conclusions: Emergency obstetric hysterectomy is a potentially lifesaving procedure which often puts obstetrician in dilemma at the time of decision making

Accidental injection of lignocaine with adrenaline in subarachnoid space: a case report

Drug errors are very common in medical field especially in anaesthesia where it’s the game of drugs. Here, we are presenting a case in which accidentally we injected lignocaine with adrenaline in place of heavy bupivacaine. Patient was of geriatric age group and posted for lower limb surgery under combined spinal epidural anaesthesia after placement of epidural catheter lumber puncture was done and 3ml of lignocaine with adrenaline was injected. After this patient develop complete sensory, motor blockade with hypotension. Level of block was up to T12 level patient was monitored for signs and symptoms of ransient neurologic syndrome (TNS) and anterior spinal artery syndrome for 24 hours. After 24 hours patient develop no complications and posted for surgery under general anaesthesia.so we have to be very careful about the labelling of drugs

E-Learning in higher education – opportunities & challenges for Dubai

E-Learning is becoming a popular delivery method across various universities and colleges in Dubai as the region is experiencing a rapid growth of e-Learning in higher education. Adequate infrastructure, changes in demographic profile, globalization, government initiatives, outsourcing and increasing demand for IT knowledge based jobs are the major factors responsible for e-Learning growth in higher education in Dubai. To highlight the increasing demand for e-Learning based courses in higher education in the region, a study was launched using online questionnaire to measure the satisfaction levels of e-Learners in higher education. From this survey, e-Learners have shown in deed a very high level of understanding concerning the potential and value of e-Learning. Respondents in the study provided a wide variety of information about their viewpoint on course material, faculty’s support, grading system and their level of satisfaction of e-Learning practices. It is anticipated that the findings of this study will offer opportunities to improve policy and practice of e-Learning in higher education in the region so as to solidify its position as an e-learning hub in the gulf region

Always, better and control - vital, essential, desirable matrix analysis of the drug store of a tertiary care teaching hospital of North India

Background: Substantial improvement can be brought about in the hospital inventory and drug expenditure by inventory control techniques. These include ABC (always, better and control), VED (vital, essential and desirable) and ABC-VED matrix analysis. The objective of the study was to categorize the drugs based on cost and criticality and identify those which require stringent managerial control.Methods: ABC analysis according to drug expenditure, VED analysis according to criticality of the drugs,  ABC-VED matrix analysis to classify drugs into category I, II and III was done for drug store of a tertiary care teaching hospital of North India for the period of April, 2018 to March, 2019.Results: The total number of the drug items used by the drug store was 315. The total drug expenditure was Rs. 9,61,29,859. By ABC analysis, it was found that 15.24%, 22.54% and 62.22% items belonged to A, B and C category respectively, accounting for 70%, 20% and 10% of Annual Drug Expenditure (ADE). VED analysis showed that 31.11%, 60.32% and 8.57% were V, E, and D category items respectively, accounting for 30.44%, 57.12% and 12.44% of ADE. By ABC-VED matrix analysis, 42.86%, 52.38% and 4.76% items were category I, II and III items respectively, accounting for 78.91%, 20.15% and 0.94% of ADE.Conclusions: The study depicted the items belonging to category I which requires top managerial control, also the items belonging to categories II and III which require control by middle and lower managerial level respectively

A six year appraisal of caesarean delivery at a teaching hospital in Uttarakhand

Background: Caesarean section is one of the commonest surgical procedures worldwide. Its upward trend and its indications in low resource setting makes regular appraisal of the practice necessary.Methods: A retrospective study. Labour ward logbook and case records were looked into, and all information extracted.Results: The prevalence of caesarean section in the study population was 32.18%. The most common indication of caesarean section was previous caesarean section (33%) followed by fetal distress (26.2%).Conclusions: Risk appraisal and all efforts must be geared towards reducing caesarean section rate. Certain measures have been recommended.

Obstetrics outcome in pregnant women with cardiac disease in tertiary care center, Dehradun, India

Background: Incidence of heart disease in pregnancy is about 1%. Pregnant patient with cardiac disease can present with lot of challenges for the obstetrician, paediatrician and the cardiologist. With improvement in diagnostic, medical, surgical management, more patient with cardiac diseases especially congenital are able to reach reproductive age. Therefore, still a cardiac disease remains a significant cause of maternal death. Maternal and fetal prognosis both is affected by the care given and the skills used in the treatment of the individual patient. Hospital has resulted in majority of cardiac disease patient being managed in a tertiary care center and this provide an opportunity to report on clinical experiences of pregnancy with cardiac disease, their management and obstetrical outcomes.Methods: This was a retrospective study, with all the patients detailed demographic information, diagnosis, course in the hospital, management, maternal and fetal outcome was obtained from the medical records and files.Results: Incidence of cardiac disease was found to be 0.7%, 47% of pregnant women fell in age group of 26-30 years, 38.2% were primigravida, only 23.53% were booked, and half of them belonged to NYHA II class. 73.5% had Rheumatic heart disease and the most common obstetrics complications were preterm labor and anemia. LSCS was done in 29.4% cases and 38.2% of the newborns were premature.Conclusions: Prematurity anaemia, IUGR, are the common obstetrical complication in pregnant patient with cardiac disease which can be taken care with increased awareness and pre-conceptional counselling especially in patient with congenital heart disease. For optimization of maternal and neonatal outcomes in these patients, dedicated team of obstetrician, fetal medicine specialist, pediatricians, cardiologist and anesthesiologist is the prime requirement

Factors associated with induced second trimester abortion at a tertiary level hospital of Uttarakhand region: a 6-year retrospective study

Background: Despite the liberalization of the abortion services since the early 1970s in India, access to safe abortion services remains limited for the vast majority of Indian women particularly from rural areas. Second trimester abortions have different indications and associated with increased maternal morbidity and mortality as compared to the first trimester abortions.Methods: This study was a retrospective study conducted from the January 2014 to December 2019 at obstetrics and genecology department of Shri Guru Ram Rai Institute of Medical and Health Sciences, Dehradun, Uttarakhand, India. All patients of 12 weeks to 20 weeks of confirmed gestational age were given medical method of second trimester abortion. Data was collected and analyzed regarding demographic features, gestational age, indications, and induction-abortion interval and post abortion contraceptive methods accepted by patient.Results: During this study period a total of 180 patients had second trimester abortion at study institute. Maximum number of patients 69 (38.3%) were of 25-30 years of age group and 161 (85%) patients were of Hindu religion. Major indication was failure of contraception (42.8%) and congenital anomalies in the fetus (45.6%). There was one case of failed medical abortion in which emergency hysterectomy was done for undiagnosed adherent placenta. All patients were compliant of using contraceptive methods after the abortion because of recent medical and mental stress and majority 82 (45.6%) of the patients preferred oral combined contraceptive pills.Conclusions: Apart from congenital anomalies rest all indications can be reduced if women in our country are empowered to control their fertility, get education to become more aware and provided with social security

Text-based Image Segmentation Methodology

AbstractIn computer vision, segmentation is the process of partitioning a digital image into multiple segments (sets of pixels). Image segmentation is thus inevitable. Segmentation used for text-based images aim in retrieval of specific information from the entire image. This information can be a line or a word or even a character. This paper proposes various methodologies to segment a text based image at various levels of segmentation. This material serves as a guide and update for readers working on the text based segmentation area of Computer Vision. First, the need for segmentation is justified in the context of text based information retrieval. Then, the various factors affecting the segmentation process are discussed. Followed by the levels of text segmentation are explored. Finally, the available techniques with their superiorities and weaknesses are reviewed, along with directions for quick referral are suggested. Special attention is given to the handwriting recognition since this area requires more advanced techniques for efficient information extraction and to reach the ultimate goal of machine simulation of human reading