This guideline is written primarily for doctors and nurses working in dialysis units and related areas of medicine in the UK, and is an update of a previous version written in 2009. It aims to provide guidance on how to look after patients and how to run dialysis units, and provides standards which units should in general aim to achieve. We would not advise patients to interpret the guideline as a rulebook, but perhaps to answer the question: “what does good quality haemodialysis look like?”The guideline is split into sections: each begins with a few statements which are graded by strength (1 is a firm recommendation, 2 is more like a sensible suggestion), and the type of research available to back up the statement, ranging from A (good quality trials so we are pretty sure this is right) to D (more like the opinion of experts than known for sure). After the statements there is a short summary explaining why we think this, often including a discussion of some of the most helpful research. There is then a list of the most important medical articles so that you can read further if you want to – most of this is freely available online, at least in summary form.A few notes on the individual sections: This section is about how much dialysis a patient should have. The effectiveness of dialysis varies between patients because of differences in body size and age etc., so different people need different amounts, and this section gives guidance on what defines “enough” dialysis and how to make sure each person is getting that. Quite a bit of this section is very technical, for example, the term “eKt/V” is often used: this is a calculation based on blood tests before and after dialysis, which measures the effectiveness of a single dialysis session in a particular patient.This section deals with “non-standard” dialysis, which basically means anything other than 3 times per week. For example, a few people need 4 or more sessions per week to keep healthy, and some people are fine with only 2 sessions per week – this is usually people who are older, or those who have only just started dialysis. Special considerations for children and pregnant patients are also covered here.This section deals with membranes (the type of “filter” used in the dialysis machine) and “HDF” (haemodiafiltration) which is a more complex kind of dialysis which some doctors think is better. Studies are still being done, but at the moment we think it’s as good as but not better than regular dialysis.This section deals with fluid removal during dialysis sessions: how to remove enough fluid without causing cramps and low blood pressure. Amongst other recommendations we advise close collaboration with patients over this.This section deals with dialysate, which is the fluid used to “pull” toxins out of the blood (it is sometimes called the “bath”). The level of things like potassium in the dialysate is important, otherwise too much or too little may be removed. There is a section on dialysate buffer (bicarbonate) and also a section on phosphate, which occasional...
Objectives To develop a transparent and reproducible measure for hospitals that can indicate when deaths in hospital or within 30 days of discharge are high relative to other hospitals, given the characteristics of the patients in that hospital, and to investigate those factors that have the greatest effect in changing the rank of a hospital, whether interactions exist between those factors, and the stability of the measure over time.Design Retrospective cross sectional study of admissions to English hospitals. Setting Hospital episode statistics for England from 1 April 2005 to 30September 2010, with linked mortality data from the Office for National Statistics.Participants 36.5 million completed hospital admissions in 146 general and 72 specialist trusts.Main outcome measures Deaths within hospital or within 30 days of discharge from hospital. ResultsThe predictors that were used in the final model comprised admission diagnosis, age, sex, type of admission, and comorbidity. The percentage of people admitted who died in hospital or within 30 days of discharge was 4.2% for males and 4.5% for females. Emergency admissions comprised 75% of all admissions and 5.5% died, in contrast to 0.8% who died after an elective admission. The percentage who died with a Charlson comorbidity score of 0 was 2% in contrast with 15% who died with a score greater than 5. Given these variables, the relative standardised mortality rates of the hospitals were not noticeably changed by adjusting for the area level deprivation and number of previous emergency visits to hospital. There was little evidence that including interaction terms changed the relative values by any great amount. Using these predictors the summary hospital mortality index (SHMI) was derived. For 2007/8 the model had a C statistic of 0.911 and accounted for 81% of the variability of between hospital mortality. A random effects funnel plot was used to identify outlying hospitals. The outliers from the SHMI over the period 2005-10 have previously been identified using other mortality indicators. ConclusionThe SHMI is a relatively simple tool that can be used in conjunction with other information to identify hospitals that may need further investigation. IntroductionAbout 60% of deaths occur in hospital.1 Although a large proportion of these are inevitable, avoidance of unnecessary death is an important objective for health services. Several methods are used within the United Kingdom's health service to identify trusts with high in-hospital mortality, the most widely publicised being the standardised mortality ratio (a ratio of observed to expected deaths), which is calculated from a statistical model. The hospital standardised mortality ratio (HSMR)2 produced by Dr Foster, a provider of healthcare information based at Imperial College, London has been used by the Department of Health for several years to identify failing hospitals. 3 Concerns and criticism over the methodology and interpretation of standardised mortality ratios have, however, been raised both i...
Excess mortality and hospitalization have been identified after the 2-day gap in thrice-weekly hemodialysis patients compared with 1-day intervals, although findings vary internationally. Here we aimed to identify factors associated with mortality and hospitalization events in England using an incident cohort of 5864 hemodialysis patients from years 2002 to 2006 inclusive in the UK Renal Registry linked to hospitalization data. Higher admission rates were seen after the 2-day gap irrespective of whether thrice-weekly dialysis sequence commenced on a Monday or Tuesday (2.4 per year after the 2-day gap vs. 1.4 for the rest of the week, rate ratio 1.7). The greatest differences in admission rates were seen in patients admitted with fluid overload or with conditions associated with a high risk of fluid overload. Increased mortality following the 2-day gap was similarly independent of session pattern (20.5 vs. 16.7 per 100 patient years, rate ratio 1.22), with these increases being driven by out-of-hospital death (rate ratio 1.59 vs. 1.06 for in-hospital death). Non-white patients had an overall survival advantage, with the increased mortality after the 2-day gap being found only in whites. Thus, fluid overload may increase the risk of hospital admission after the 2-day gap and that the increased out-of-hospital mortality may relate to a higher incidence of sudden death. Future work should focus on exploring interventions in these subgroups.
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