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1.
Ugeskr Laeger ; 183(24)2021 06 14.
Article in Danish | MEDLINE | ID: mdl-34120687

ABSTRACT

Group B streptococcus (GBS) is a group of naturally occurring bacteria that colonises the anogenital region of every third pregnant woman. From the anogenital region they can colonise the urine and cause bacteriuria. It is well documented that treatment of GBS-bacteriuria with more than 104 colony forming units per millilitre (CFU/ml) reduces the risk of maternal and neonatal morbidity. There is, however, no clear evidence as summarised in this review that GBS-bacteriuria more than 104 CFU/ml increases the risk of maternal and neonatal morbidity which is why no treatment is warranted.


Subject(s)
Bacteriuria , Pregnancy Complications, Infectious , Streptococcal Infections , Bacteriuria/diagnosis , Bacteriuria/drug therapy , Female , Humans , Infant, Newborn , Pregnancy , Pregnancy Complications, Infectious/drug therapy , Pregnant Women , Streptococcal Infections/diagnosis , Streptococcal Infections/drug therapy , Streptococcus agalactiae
2.
Ugeskr Laeger ; 180(20A)2018 Oct 01.
Article in Danish | MEDLINE | ID: mdl-30274586

ABSTRACT

There are 320,000 diabetes patients in Denmark. Heart failure (HF) is a major cardiovascular complication to diabetes mellitus with increasing prevalence. HF occurs 2-4 times more frequently in diabetes patients, but patients may go undiagnosed for years. Diabetes patients typically suffer from diastolic dysfunction caused by myocardial hyper-trophy and "stiffness" of the left ventricle. This frequent finding has prompted the term "diabetic cardiomyopathy". Echocardiography is a key examination in diagnosing HF and may be warranted to a greater degree in diabetes patients at particular risk.


Subject(s)
Diabetes Complications , Diabetes Mellitus , Heart Failure , Ventricular Dysfunction, Left , Denmark/epidemiology , Diabetes Complications/epidemiology , Echocardiography , Heart Failure/complications , Heart Failure/epidemiology , Humans
3.
BMC Emerg Med ; 18(1): 8, 2018 02 21.
Article in English | MEDLINE | ID: mdl-29466948

ABSTRACT

BACKGROUND: Triage is used to prioritize the patients in the emergency department. The majority of the triage systems include the patients' pain score to assess their level of acuity by using a combination of patient reported pain and observer-perceived pain; the latter therefore requires a certain degree of inter-observer agreement. The aim of the present study was to assess the inter-observer agreement of perceived pain among emergency department nurses and to evaluate if it was influenced by predetermined factors like age and gender. METHOD: A project assistant randomly recruited two nurses, who were not allowed to interact with each other, to assess patient pain intensity on the numeric ranking scale. The project assistant afterwards entered the pain scores in a predesigned electronic questionnaire. We used weighted Fleiss-Cohen (quadratic) kappa statistics, Bland-Altman statistics and logistic regression analysis to assess the inter-observer agreement. RESULTS: One hundred and sixty-two patients were included. They had a median age of 38 years and 45% were females. 30% of the patients were acute surgical patients and 70% acute orthopedic patients. The average time between the pain assessments were 1,7 min. The Bland Altman analysis found a mean difference in pain score of 0.2 and 95% limits of agreement of +/- 3 point. When the NRS scores were translated to commonly used pain categories (no, mild, moderate or severe pain) we found a 70% agreement with a mean difference in categories of 0.05 and 95% limits of agreement of +/- 1 category. Patient age, gender, localization of pain, examination room or presence of a significant other did not affect the inter-observer agreement. CONCLUSION: We found 70% agreement on pain category between the nurses and it is justified that nurse-perceived pain assessment is used for triage in the emergency department.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , Emergency Service, Hospital/standards , Pain Measurement/statistics & numerical data , Pain Measurement/standards , Adult , Aged , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Observer Variation , Perception , Reproducibility of Results , Triage/standards
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