scholarly journals The magnitude of perinatal mortality rate and associated risk factors among deliveries at Dilla University Referral Hospital, Southern Ethiopia: A case-control study

2022 ◽  
Vol 9 (1) ◽  
Author(s):  
Kefale Lelamo Legu ◽  
Alemu Tamiso Debiso ◽  
Kaleb Mayisso Rodamo
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Perinatal Mortality ◽  
Case Control Study ◽  
Case Control ◽  
Neonatal Deaths ◽  
Perinatal Mortality Rate ◽  
Associated Risk Factors ◽  
Early Neonatal Deaths ◽  
Control Study

The perinatal mortality rate is the sum of stillbirths and early neonatal deaths divided by the number of pregnancies of seven or more months’ duration. In Ethiopia, the death rate was 33 deaths/1000 total births in 2016. We aimed to identify the perinatal mortality rate and associated risk factors among deliveries in Dilla University Referral Hospital; January, 2016 - December, 2018. A hospital based retrospective case-control study was conducted using subgroup binary logistic regression analysis including 138 cases and 296 control group. The proportion of hospital perinatal deaths was 30% with 90% of the deaths were occurred as a result of stillbirths and antepartum hemorrhage. Adjusted odds ratios revealed that history of still birth, very low birth weight, short interval and nonuse of partograph found to be independent predictors of both stillbirths and early neonatal deaths besides to pregnancy induced hypertension and antepartum hemorrhage. The risk of perinatal mortality may be increased by not treating chronic illnesses, obstetrics complications and risk factors causing low birth weight as well as short birth intervals and not using partograph during labour.

Risk factors for perinatal mortality: a case control study from Thiruvananthapuram, Kerala, India

2017 ◽  
Vol 6 (6) ◽  
pp. 2452 ◽  
Author(s):  
Mayadevi Brahmanandan ◽  
Lekshmi Murukesan ◽  
Bindu Nambisan ◽  
Shaila Salmabeevi
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Perinatal Mortality ◽  
Case Control Study ◽  
Gestational Hypertension ◽  
Significant Risk ◽  
Case Control ◽  
Maternal Risk ◽  
Perinatal Mortality Rate ◽  
Control Study

Background: The greatest risks to life are in its very beginning. Although a good start in life begins well before birth, it is just before, during, and in the very first hours and days after birth that life is most at risk. This prospective case control study was designed on maternal risk factors for perinatal mortality.Methods: This was a case control study conducted in the Department of Obstetrics and Gynecology and Department of Paediatrics, Medical College Trivandrum for one year period in 2004-2005. The cases were all the fresh and macerated still births and early neonatal death cases during the study period. The controls were chosen as the next delivery entry in the OR register.Results: During this period, the total number of deliveries was 14,796 and there were 431 perinatal deaths. The perinatal mortality rate was 29.12. This was much higher compared to Kerala’s perinatal mortality rate of 10, the reason being that the study is conducted in a tertiary referral hospital with one of the best new born care nurseries and a large number of referrals. The most significant risk factors for perinatal mortality were low socio-economic status, referrals, late registration, prematurity, low birth weight, intra-uterine growth restriction, maternal diseases like gestational hypertension and gestational diabetes and intrapartum complications like abruption.Conclusions: Perinatal mortality rate serves as the most sensitive index of maternal and neonatal care. Good antenatal care and prevention of preterm birth may play a key role in further reduction of PMR.

scholarly journals Determinants Of Perinatal Mortality In Bahir Dar Town Governmental Health Institutions, Northwest, Ethiopia, 2019: Prospective Unmatched Case Control Study

2019 ◽  
Author(s):  
kebadnew mihretie ◽  
DANIEL TAREKEGN WOREDE ◽  
TAYE ABUHAY
Keyword(s):  
Protective Factors ◽  
Perinatal Mortality ◽  
Case Control Study ◽  
Tertiary Education ◽  
Case Control ◽  
Neonatal Deaths ◽  
Health Institutions ◽  
Early Neonatal Deaths ◽  
Control Study

Abstract Background: Perinatal mortality is defined as fetal death after 28 weeks of gestation and newborn death within seven days. Globally, more than 2.6 million stillbirths and over 2.7 million early neonatal deaths are estimated to occur each year. Each day an estimated 7,300 newborns die from complication during pregnancy, child birth and further neonatal causes and 7000 stillbirth, half of this occurs after labor had started. Almost all (98%) takes place in developing countries and the magnitude of perinatal mortality in the study area was 44 per 1000 pregnancy. Objective: The objective of this study was to identify determinants of perinatal mortality in Bahirdar town governmental health institutions. Methods: Institutional based unmatched case control study was conducted .Cases were stillbirths and early neonatal deaths and controls were live births that were survived the first seven days after delivery. A total of 459 participants were involved in this study (153 cases and 306 controls) .Pretested, structured questioner with face to face interview was conducted and some data were also extracted using checklist from their medical records. Multivariable logistic regression analysis was done to analyze the data. A p-value of <0.05 was considered as significant at 95% confidence interval and the strength of association was measured using odds ratio. Results: Antepartum hemorrhage (AOR 2.55,95%CI;1.23-5.26), obstructed labour (AOR 3.11,95% CI; 2.00-8.38), prematurity (AOR 3.29,95% CI;1.86-5.81), first delay (AOR 2.61,95% CI;1.56-4.39) and second delay (AOR 2.75,95% CI;1.49-5.11) were the determinants of perinatal mortality that increase risk of perinatal death. Whereas partograph use (AOR 0.24, 95% CI; 0.14-0.42) and tertiary education (AOR 0.35, 95% CI; 0.17-0.71) were found to be protective factors for perinatal mortality. Conclusion and Recommendation:The determinants of perinatal mortality were antepartum hemorrhage,prematurity, obstructed labour, first delay and second delay that were increase the risk of perinatal mortality whereas maternal tertiary education and partograph use during labour follow up were the protective factors. But the risk factors were easily identifiable and manageable with the existing health care services while health partograph use in labour follow up and educating females to tertiary education level is better, first and second delay need to avoided during

scholarly journals A case-control study of risk factors for fetal and early neonatal deaths in a tertiary hospital in Kenya

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Faith Yego ◽  
Catherine D’Este ◽  
Julie Byles ◽  
Paul Nyongesa ◽  
Jennifer Stewart Williams
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Tertiary Hospital ◽  
Case Control ◽  
Neonatal Deaths ◽  
Early Neonatal Deaths ◽  
Control Study

Malnutrition Concerning Geriatric Depression and Associated Risk Factors: A Community-based Case-control Study in Rural Elderly of Bangladesh

2020 ◽  
Author(s):  
Md Ziaul Islam ◽  
Tasnim Disu ◽  
Shatmin Farjana ◽  
Mohammad Rahman
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
The Elderly ◽  
Case Control ◽  
Rural Elderly ◽  
Geriatric Depression ◽  
Elderly Individuals ◽  
Significant Difference ◽  
Associated Risk Factors ◽  
Control Study

Abstract Background: Malnutrition and depression are highly prevalent in the elderly and can lead to disparaging outcomes. Analytical studies on malnutrition concerning geriatric depression (GD) are very scarce in Bangladesh, although the size of the elderly population is increasing fast in the country. The current study aimed to assess the association between malnutrition and depression and associated risk factors in the rural elderly.Methods: A case-control study was conducted in 600 elderly residents (aged ≥60 years) of three rural communities of Bangladesh from January to October 2019. Three hundred depressed elderly people were enrolled as cases and 300 non-depressed elderly individuals were included as community controls by matching the age and living area of the cases. We used a semi-structured questionnaire based on the Geriatric Depression Scale-15 and the Bangla version of Mini-Nutritional Assessment-Short Form to collect data through face-to-face interviews. Measures included baseline and personal characteristics, malnutrition, GD, and associated risk factors. A binary logistic regression model was fitted to identify variables associated with the risk of GD.Results: The study found no significant difference in gender (male Vs. female) between cases (44.0% Vs. 56.0%) and controls (46.0% Vs. 54.0%). The study revealed that malnutrition was significantly (p<0.01) higher in cases (56.0%) than in controls (18.0%). The malnourished elderly had around three times AOR=3.155; 95% CI: 1.53-6.49, p=0.002) more (risk of having depression than the controls. The unemployed elderly (AOR=4.964; 95% CI: 2.361-10.440; p=0.0001) and the elderly of the lower and middle class (AOR=3.654; 95% CI: 2.266-7.767; p=0.001) were more likely to experience depression. The elderly having a poor diet were more likely to experience depression (AOR=3.384; 95% CI: 1.764-6.703; p=0.0001). The single elderly (AOR=2.368; 95% CI: 1.762-6.524; p=0.001) and the elderly tobacco users (AOR=2.332; 95% CI: 1.663-5.623; p=0.003) were more likely to experience depression.Conclusions: A significant association between malnutrition and depression is evident in the rural elderly individuals of Bangladesh. It will be a prolific initiative if policymakers merge malnutrition and the risk factors associated with geriatric depression in the provision of universal health care for better health and well-being of the rural elderly populations.

Risk factors in lateral epicondylitis (tennis elbow): a case-control study

2012 ◽  
Vol 38 (2) ◽  
pp. 159-164 ◽  
Author(s):  
A. G. Titchener ◽  
A. Fakis ◽  
A. A. Tambe ◽  
C. Smith ◽  
R. B. Hubbard ◽  
...  
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Tennis Elbow ◽  
Lateral Epicondylitis ◽  
Case Control ◽  
Smoking History ◽  
Health Improvement ◽  
Tunnel Syndrome ◽  
Associated Risk Factors ◽  
Control Study

Lateral epicondylitis is a common condition, but relatively little is known about its aetiology and associated risk factors. We have undertaken a large case-control study using The Health Improvement Network database to assess and quantify the relative contributions of some constitutional and environmental risk factors for lateral epicondylitis in the community. Our dataset included 4998 patients with lateral epicondylitis who were individually matched with a single control by age, sex, and general practice. The median age at diagnosis was 49 (interquartile range 42–56) years . Multivariate analysis showed that the risk factors associated with lateral epicondylitis were rotator cuff pathology (OR 4.95), De Quervain’s disease (OR 2.48), carpal tunnel syndrome (OR 1.50), oral corticosteroid therapy (OR 1.68), and previous smoking history (OR 1.20). Diabetes mellitus, current smoking, trigger finger, rheumatoid arthritis, alcohol intake, and obesity were not found to be associated with lateral epicondylitis.

Psoriasis in France and Associated Risk Factors: Results of a Case-Control Study Based on a Large Community Survey

Dermatology ◽  
2008 ◽  
Vol 218 (2) ◽  
pp. 103-109 ◽  
Author(s):  
P. Wolkenstein ◽  
J. Revuz ◽  
J.C. Roujeau ◽  
G. Bonnelye ◽  
J.J. Grob ◽  
...  
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Case Control ◽  
Community Survey ◽  
Large Community ◽  
Associated Risk Factors ◽  
Control Study

scholarly journals KEMATIAN PERINATAL DI BLU RSU PROF. DR. R. D. KANDOU MANADO

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Mercy Tumundo ◽  
Hermie Tendean ◽  
Eddy Suparman
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Perinatal Death ◽  
Developed Countries ◽  
Perinatal Deaths ◽  
Neonatal Deaths ◽  
Normal Birth ◽  
Perinatal Mortality Rate ◽  
Still Births ◽  
Early Neonatal Deaths

Abstract: Perinatal death is a big problem especially in a developing country. Some of the hospitals in Indonesia have declared that the number of perinatal death in developing countries is higher than in  developed countries. The purpose of this research is to determine the incidence of the factors that affecting perinatal mortality at Prof. DR. R. D. Kandou General Hospital Manado. This research used retrospective descriptive method through medical records of perinatal deaths patients. There were 164 cases of perinatal deaths found where 109 cases still births and 55 cases were early neonatal deaths in 2011, so the number of perinatal mortality rate was 40.17 per mil. The highest number of perinatal death was from multigravide mother, mother with age  ≥ 35 years old, spontaneous parturition. There were unknown caused of still births cases (77,06%) and sepsis in early neonatal deaths. The normal birth weight is also with most include of perinatal deaths. Keywords: still birth, early neonatal death, perinatal deaths, perinatal mortality rate.     Abstrak: Kematian perinatal merupakan masalah besar khususnya di negara sedang berkembang. Beberapa rumah sakit pendidikan di Indonesia melaporkan angka kematian perinatal yang tinggi dibandingkan dengan laporan angka kematian perinatal di negara – negara maju yang jumlahnya rendah. Tujuan penelitian untuk mengetahui angka kejadian kematian perinatal serta faktor – faktor yang mempengaruhinya. Penelitian ini menggunakan metode deskriptif retrospektif dengan menggunakan data catatan medik pasien. Hasil penelitian yaitu jumlah kematian perinatal pada tahun 2011 sebanyak 164 kasus dengan 109 kasus lahir mati dan 55 kasus kematian neonatal dini sehingga angka kematian perinatal pada tahun 2011 yaitu 40.17 per mil. Kematian perinatal paling banyak pada ibu multigravida, ibu dengan kelompok usia ≥ 35 tahun, menggunakan jenis persalinan spontan. Pada lahir mati 77.06 % penyebab kematiannya tidak diketahui sedangkan sepsis paling banyak menyebabkan kematian neonatal dini. Berat badan lahir normal juga menjadi salah satu faktor terjadinya kematian perinatal. Kata kunci: lahir mati, kematian neonatal dini, kematian perinatal, angka kematian perinatal.

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