32 research outputs found
Clinical symptoms, signs and tests for identification of impending and current water-loss dehydration in older people (Review)
BackgroundThere is evidence that water-loss dehydration is common in older people and associated with many causes of morbidity and mortality.However, it is unclear what clinical symptoms, signs and tests may be used to identify early dehydration in older people, so that support can be mobilised to improve hydration before health and well-being are compromised.ObjectivesTo determine the diagnostic accuracy of state (one time), minimally invasive clinical symptoms, signs and tests to be used as screeningtests for detecting water-loss dehydration in older people by systematically reviewing studies that have measured a reference standard and at least one index test in people aged 65 years and over. Water-loss dehydration was defined primarily as including everyone with either impending or current water-loss dehydration (including all those with serum osmolality ≥ 295 mOsm/kg as being dehydrated).Search methodsStructured search strategies were developed for MEDLINE (OvidSP), EMBASE (OvidSP), CINAHL, LILACS, DARE and HTAdatabases (The Cochrane Library), and the International Clinical Trials Registry Platform (ICTRP). Reference lists of included studiesand identified relevant reviews were checked. Authors of included studies were contacted for details of further studies.Selection criteriaTitles and abstracts were scanned and all potentially relevant studies obtained in full text. Inclusion of full text studies was assessed independently in duplicate, and disagreements resolved by a third author. We wrote to authors of all studies that appeared to have collected data on at least one reference standard and at least one index test, and in at least 10 people aged ≥ 65 years, even where no comparative analysis has been published, requesting original dataset so we could create 2 x 2 tables.Data collection and analysis.Diagnostic accuracy of each test was assessed against the best available reference standard for water-loss dehydration (serum or plasma osmolality cut-off≥295mOsm/kg, serumosmolarity or weight change) within each study. For each index test study data were presented in forest plots of sensitivity and specificity. The primary target condition was water-loss dehydration (including either impending or current water-loss dehydration). Secondary target conditions were intended as current (> 300 mOsm/kg) and impending (295 to 300 mOsm/kg) water-loss dehydration, but restricted to current dehydration in the final review.We conducted bivariate random-effects meta-analyses (Stata/IC, StataCorp) for index tests where there were at least four studies and study datasets could be pooled to construct sensitivity and specificity summary estimates. We assigned the same approach for index tests with continuous outcome data for each of three pre-specified cut-off points investigated.Pre-set minimum sensitivity of a useful test was 60%, minimum specificity 75%. As pre-specifying three cut-offs for each continuoustest may have led to missing a cut-off with useful sensitivity and specificity, we conducted post-hoc exploratory analyses to createreceiver operating characteristic (ROC) curves where there appeared some possibility of a useful cut-off missed by the original three.These analyses enabled assessment of which tests may be worth assessing in further research. A further exploratory analysis assessed the value of combining the best two index tests where each had some individual predictive ability.Main resultsThere were few published studies of the diagnostic accuracy of state (one time), minimally invasive clinical symptoms, signs or tests tobe used as screening tests for detecting water-loss dehydration in older people. Therefore, to complete this review we sought, analysed and included raw datasets that included a reference standard and an index test in people aged ≥ 65 years.We included three studies with published diagnostic accuracy data and a further 21 studies provided datasets that we analysed. Weassessed 67 tests (at three cut-offs for each continuous outcome) for diagnostic accuracy of water-loss dehydration (primary targetcondition) and of current dehydration (secondary target condition).Only three tests showed any ability to diagnose water-loss dehydration (including both impending and current water-loss dehydration) as stand-alone tests: expressing fatigue (sensitivity 0.71 (95% CI 0.29 to 0.96), specificity 0.75 (95% CI 0.63 to 0.85), in one study with 71 participants, but two additional studies had lower sensitivity); missing drinks between meals (sensitivity 1.00 (95% CI 0.59 to 1.00), specificity 0.77 (95% CI 0.64 to 0.86), in one study with 71 participants) and BIA resistance at 50 kHz (sensitivities 1.00 (95% CI 0.48 to 1.00) and 0.71 (95% CI 0.44 to 0.90) and specificities of 1.00 (95% CI 0.69 to 1.00) and 0.80 (95% CI 0.28 to 0.99) in 15 and 22 people respectively for two studies, but with sensitivities of 0.54 (95% CI 0.25 to 0.81) and 0.69 (95% CI 0.56 to 0.79) and specificities of 0.50 (95% CI 0.16 to 0.84) and 0.19 (95% CI 0.17 to 0.21) in 21 and 1947 people respectively in two other studies). In post-hoc ROC plots drinks intake, urine osmolality and axillial moisture also showed limited diagnostic accuracy. No test was consistently useful in more than one study.Combining two tests so that an individual both missed some drinks between meals and expressed fatigue was sensitive at 0.71 (95%CI 0.29 to 0.96) and specific at 0.92 (95% CI 0.83 to 0.97).There was sufficient evidence to suggest that several stand-alone tests often used to assess dehydration in older people (including fluid intake, urine specific gravity, urine colour, urine volume, heart rate, dry mouth, feeling thirsty and BIA assessment of intracellular water or extracellular water) are not useful, and should not be relied on individually as ways of assessing presence or absence of dehydration in older people.No tests were found consistently useful in diagnosing current water-loss dehydration.Authors’ conclusionsThere is limited evidence of the diagnostic utility of any individual clinical symptom, sign or test or combination of tests to indicatewater-loss dehydration in older people. Individual tests should not be used in this population to indicate dehydration; they miss a highproportion of people with dehydration, and wrongly label those who are adequately hydrated.Promising tests identified by this review need to be further assessed, as do new methods in development. Combining several tests may improve diagnostic accuracy
Hospital-acquired pressure ulcers in two Swedish County Councils : cross-sectional data as a foundation for future quality improvement
The objectives of the study were to examine the prevalence of pressure ulcers and hospital-acquired pressure ulcers (HAPU) and identify modifiable factors in patients who develop HAPU as the basis for subsequent quality assurance studies and improvement in hospital care. The study was conducted in five hospitals in two Swedish County Councils. A 1-day prevalence study (n = 1192) using the standards of the European Pressure Ulcer Advisory Panel and Collaborative Alliance for Nursing Outcomes was conducted. The prevalence of ulcers was 14·9% and 11·6% were HAPU. Older age, more days of hospitalisation, less activity, problems with shear and friction and reduced sensory perception contributed significantly to HAPU. Pressure ulcer prevention strategies used more often in those with HAPU were risk assessment at admission, provision of a pressure relief mattress, having a turning schedule and using a heel or chair cushion. The prevalence of pressure ulcers continues to be a significant issue in acute care and the prevalence of HAPU is high. There is significant room for quality improvement in pressure ulcer prevention in Swedish hospitals. Future research needs to address both HAPU and community-acquired pressure ulcers and focus on preventive strategies, including when they are initiated and which are effective in mitigating the high HAPU rate
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Thirst in Critically Ill Patients: From Physiology to Sensation
Critically ill patients often report distressful episodes of severe thirst, but the complex biochemical, neurohormonal mechanisms that regulate this primal sensation still elude clinicians. The most potent stimuli for thirst are subtle increases in plasma osmolality. These minute changes in osmolality stimulate central osmoreceptors to release vasopressin (also known as antidiuretic hormone). Vasopressin in turn acts on the kidneys to promote the reabsorption of water to correct the increased osmolality. If this compensatory mechanism fails to decrease osmolality, then thirst is triggered to motivate drinking. In contrast, thirst induced by marked volume loss, or hypovolemic thirst, is subject to the tight osmoregulation of the renin-angiotensin aldosterone system and accompanying adrenergic agonists. Understanding the essential role that thirst plays in salt and water regulation can provide clinicians with a better appreciation for the complex physiology that underlies this intense sensation
Hospital staff registered nurses' perception of horizontal violence, peer relationships, and the quality and safety of patient care
Knowledge and beliefs about smoking and goals for smoking cessation in hospitalized men with cardiovascular disease
ObjectivesTo describe perceptions of smoking in men hospitalized with cardiovascular disease (CVD).BackgroundSmoking is a major risk factor and associated with the high prevalence of CVD in Jordan.MethodsThe study design was cross-sectional with a convenience sample. A structured interview was conducted in 112 men who were hospitalized with CVD.ResultsThe study showed that 91% of men hospitalized with CVD smoked daily. The majority (83%) had attempted to quit smoking in the past without help from others, and intended to quit in the future using the same previously unsuccessful method. They were unaware of the hazards of smoking such as stroke; or the long term health benefits of quitting smoking. Logistic regressions showed that men were more confident in quitting smoking if they had a high income (OR: 7.7; 95% CI: 2.7, 22.3), longer hospitalizations (OR: 2.6; 95% CI: 1.3, 5.3), or were hospitalized in acute cardiac settings (OR: 3.9; 95% CI: 1.2, 12.7), and admitted with a diagnosis of MI or angina (OR: 3.0; 95% CI: 1.1, 8.3).ConclusionAssessment of smoking status with smoking cessation counseling is paramount in hospitalized men with CVD who smoke