The continuous downgrading of malnutrition in the German DRG system: possible effects on the treatment of patients at risk for malnutrition.

It has been internationally recognized that malnutrition is an independent risk factor for patients' clinical outcome. A new mandatory fixed price payment system based on diagnosis-related groups (G-DRG) went into effect in 2004. The aim of our study was to demonstrate the importance of carefully coding the secondary diagnosis of "malnutrition" in the G-DRG system and to highlight how the economic relevance of malnutrition in the G-DRG system has changed from 2014 to 2016. 1372 inpatients at the Berufsgenossenschaftliche Unfallklinik (Trauma Center) in Tübingen were screened for the risk of malnutrition using Nutritional Risk Screening (NRS-2002). Patient data were compared with the NRS values collected during the study and a case simulation was carried out separately for each year. We used the codes E44.0 for NRS = 3 and E43.0 for NRS > 3. The ICD codes were entered as an additional secondary diagnosis in the internal hospital accounting system DIACOS to determine possible changes in the effective weight. In 2014 the highest additional revenue by far was calculated by coding malnutrition. For the 638 patients enrolled in the study in 2014, we were able to calculate an average additional revenue per patient coded with malnourishment of €107. In 2016, we were unable to calculate any additional revenue for the 149 patients enrolled. Although it is well known that malnutrition is an independent risk factor for poor patient outcomes, nationwide screening for a risk of malnutrition when patients are admitted to a hospital is still not required. For this reason, malnutrition in German hospitals continues to be insufficiently documented. Due to the continuous downgrading of diagnosis-related severity (CCL) of malnutrition in the G-DRG system in trauma surgery patients, it is no longer possible to refinance the costs incurred by malnourished patients through the conscientious coding of malnutrition. We assume that the indirect positive effects of nutritional interventions will have to be taken into account more in the costing calculations and possibly lead to indirect cost compensation.

Treatment of malnutrition decreases complication rates and shortens the length of hospital stays in a radiation oncology department.

PURPOSE: The nutritional status of inpatients influences the therapeutic outcome. Malnutrition is a common comorbidity in oncological patients. Both radio- and radiochemotherapy may contribute to the additional deterioration of the nutritional status. The aim of this study was to evaluate the impact of specialized treatment of malnutrition as a clinical routine. METHODS: The nutritional status of inpatients was assessed by the Nutritional risk screening (NRS-2002) on the day of admission to the University Department of Radiation Oncology. In case of significantly elevated NRS-2002 (NRS ≥ 3), a guideline-compliant, individual nutritional treatment was initiated by a specialized nutrition support team. The influence of the nutritional status and nutritional treatment on length of stay and complication rate was assessed. RESULTS: Of 840 included patients, 344 patients (40.95%) were at risk for malnutrition. Malnutrition was a significant, independent risk factor for both prolonged hospital stay, represented by the deviation between the actual length of stay and the DRG-associated mean length of stay (dLOS at risk: 0.88 days, dLOS not at risk: -0.88 days, p = 0.0047), as well as for the occurrence of complications (OR: 1.758 CI: [1.286-2.402], p = 0.0006). In the group of 337 (40.12%) rehospitalized patients the nutritional management was able to assimilate the values of length of stay as well as the complication rates to standard values. CONCLUSIONS: The high risk for malnutrition and the negative consequences for patients and hospitals underline the urgent need for malnutrition screening on admission and treatment of malnutrition. A specialized, interdisciplinary nutrition support team positively influences patient outcome and should be established routinely in all oncological disciplines.

Prevalence and Distribution of Diabetes Mellitus in a Maximum Care Hospital: Urgent Need for HbA1c-Screening.

OBJECTIVE: Diabetes mellitus affects almost one in 10 individuals in Germany. So far, little is known about the diabetes prevalence in maximum care hospitals. We assessed the diabetes prevalence, proportion of undiagnosed cases, the effectiveness of diabetes screening in a university hospital, the consequences for hospital stay and acquired complications. RESEARCH DESIGN AND METHODS: Over a 4 week period we determined HbA1c from 3 733 adult patients which were hospitalized at the university hospital of Tuebingen and had an available blood sample. Diabetes diagnosis was defined as HbA1c≥6.5% and/or previously documented diabetes diagnosis, prediabetes was defined as HbA1c≥5.7% and <6.5% without history of previous diabetes. RESULTS: 23.68% of the patients had prediabetes and 22.15% had diabetes with a high variation between the specialised departments (range 5-43%). The rate of unknown diabetes was 3.7%, the number needed to screen was 17 in patients older than 50 years. Patients with diabetes had a prolonged hospital stay compared to the mean length of stay for their diagnosis related group (diabetes: 1.47±0.24 days; no diabetes: -0.18±0.13 days, p=0.0133). The prevalence of hospital acquired complications was higher in diabetic patients (diabetes: 197 of 630; no diabetes: 447 of 2 459, p<0.0001). CONCLUSIONS: Every fourth patient in the university hospital had diabetes and every second had either prediabetes or diabetes. It is also worthwhile to screen for unknown diabetes in patients over the age of 50. The high prevalence and negative consequences of diabetes require screening and intensified specialized diabetes treatment in hospitals.

Effects of malnutrition on complication rates, length of hospital stay, and revenue in elective surgical patients in the G-DRG-system.

OBJECTIVE: Malnutrition is known to independently affect patient outcomes. The aim of this study was to investigate the prevalence of patients at risk for malnutrition in an elective surgery patient cohort and to analyze the effects of malnutrition on morbidity, mortality, and hospital length of hospital (LOS). Furthermore, we aimed to evaluate the economic effect of a diligent coding of malnutrition, as a side diagnosis, in a simulation of the German Diagnosis-Related Group system. METHODS: The nutritional status of 1244 patients undergoing elective surgery was standardized on the day of admission by the Nutritional Risk Screening (NRS) 2002. To quantify the influence of malnutrition on revenue, the real DRGs of all patients were grouped. In simulation, an appropriate International Classification of Diseases code was used as a secondary diagnosis for all malnourished patients based on the NRS rating. A multivariate logistic regression analysis and a Cox regression were performed to identify potential confounders and to determine the adjusted effect of nutritional status on the occurrence of complications and hospital LOS. RESULTS: The prevalence of patients at risk for malnutrition (NRS ≥3) was 24.1% (300 of 1244). These patients showed a significant increase in hospital LOS (13 versus 7 d). Additionally, postoperative complications were significantly higher in this group (7.23% versus 6.91%). Including malnutrition in the Diagnosis-Related Group coding system resulted in a reimbursement of €1979.67 per patient at risk for malnutrition and a total reimbursement of €79,186.73 for all patients at risk for malnutrition in the present study. CONCLUSION: Establishment of a structured, comprehensive assessment of the nutritional status of hospitalized patients can repetitiously identify patients at risk for malnutrition. Additionally, the diligent codification of malnutrition can lead to cost compensation in the German Diagnosis-Related Group system.

Incidence and geographical variation of amyotrophic lateral sclerosis (ALS) in Southern Germany--completeness of the ALS registry Swabia.

Objective of this paper was to investigate the incidence, potential geographical clusters and the completeness of the amyotrophic lateral sclerosis (ALS) registry in Southern Germany (Swabia). Age-standardized incidence rates (ASR) and ratios (SIR) as well as 95% confidence intervals (CI) were estimated at county level. Capture-recapture (CARE) procedures were applied taking data source dependency into account to estimate the quality of case ascertainment in the ALS registry Swabia. We identified 438 ALS cases (53% men, 47% women) in the target population of about 8.4 Mio inhabitants. The gender ratio (men∶women) was 1.1∶1. The mean age at onset of ALS was 63.8 (SD = 11.9) years for men and 66.0 (12.2) for women. The age distribution peaked in the age group 70-74 years. The ASR of ALS was 2.5 per 100,000 person years (PY; 95% CI: 2.3-2.7). The mean SIR was 1.1 per 100,000 PY (95% CI: 1.0-1.2). High SIR suggesting geographical clusters were observed in two counties (Göppingen and Bodenseekreis), but the variation was not statistically significant (p-values = 0.2 and 0.5). The percentage of CARE estimated missing cases was 18.9% in the registry yielding an ASR of 3.1 per 100,000 PY. The high coverage of the CARE estimated completeness of the ALS registry Swabia indicates excellent quality for future projects. Regional variations have to be investigated further.