In-hospital mortality in patients with renal dysfunction admitted for myocardial infarction: the Emilia-Romagna region of Italy database of hospital admissions

Food insecurity and kidney disease: a systematic review

BACKGROUND

The risk of developing and worsening chronic kidney disease (CKD) is associated with unhealthy dietary patterns. Food insecurity is defined by a limited or uncertain availability of nutritionally adequate and safe food; it is also associated with several chronic medical conditions. The aim of this systematic review is to investigate the current knowledge about the relationship between food insecurity and renal disease.

METHODS

We selected the pertinent publications by searching on the PubMed, Scopus, and the Web of Science databases, without any temporal limitations being imposed. The searching and selecting processes were carried out through pinpointed inclusion and exclusion criteria and in accordance with the Prisma statement.

RESULTS

Out of the 26,548 items that were first identified, only 9 studies were included in the systemic review. Eight out of the nine investigations were conducted in the US, and one was conducted in Iran. The studies evaluated the relationship between food insecurity and (i) kidney disease in children, (ii) kidney stones, (iii) CKD, (iv) cardiorenal syndrome, and (v) end stage renal disease (ESRD). In total, the different research groups enrolled 49,533 subjects, and food insecurity was reported to be a risk factor for hospitalization, kidney stones, CKD, ESRD, and mortality.

CONCLUSIONS

The relationship between food insecurity and renal disease has been underestimated. Food insecurity is a serious risk factor for health problems in both wealthy and poor populations; however, the true prevalence of the condition is unknown. Healthcare professionals need to take action to prevent the dramatic effect of food insecurity on CKD and on other chronic clinical conditions.

Venous Doppler flow patterns, venous congestion, heart disease and renal dysfunction: A complex liaison

The World Journal of Cardiology published an article written by Kuwahara et al that we take the pleasure to comment on. We focused our attention on venous congestion. In intensive care settings, it is now widely accepted that venous congestion is an important clinical feature worthy of investigation. Evaluating venous Doppler profile abnormalities at multiple sites could suggest adequate treatment and monitor its efficacy. Renal dysfunction could trigger or worsen fluid overload in heart disease, and cardio-renal syndrome is a well-characterized spectrum of disorders describing the complex interactions between heart and kidney diseases. Fluid overload and venous congestion, including renal venous hypertension, are major determinants of acute and chronic renal dysfunction arising in heart disease. Organ congestion from venous hypertension could be involved in the development of organ injury in several clinical situations, such as critical diseases, congestive heart failure, and chronic kidney disease. Ultrasonography and abnormal Doppler flow patterns diagnose clinically significant systemic venous congestion. Cardiologists and nephrologists might use this valuable, non-invasive, bedside diagnostic tool to establish fluid status and guide clinical choices.

Impact of Charlson Co-Morbidity Index Score on Management and Outcomes After Acute Coronary Syndrome

Patients presenting with acute coronary syndrome (ACS) are frequently co-morbid. However, there is limited data on how co-morbidity burden impacts their receipt of invasive management and subsequent outcomes. We analyzed all patients with a discharge diagnosis of ACS from the National Inpatient Sample (2004 to 2014), stratified by Charlson Co-morbidity Index (CCI) into 4 classes (CCI 0, 1, 2, and ≥3). Regression analyses were performed to examine associations between co-morbidity burden and receipt of invasive intervention and in-hospital clinical outcomes. Of all 6,613,623 ACS patients analyzed, the prevalence of patients with severe co-morbidity (CCI ≥3) increased from 10.8% (2004) to 18.1% (2014). CCI class negatively correlated with receipt of invasive management, with CCI ≥3 group being the least likely to receive coronary angiography and percutaneous coronary intervention (odds ratio (OR) 0.42 95% confidence interval [CI] 0.41 to 0.43 and OR 0.47, 95% CI 0.46 to 0.48, respectively). CCI class was independently associated with an increased risk of mortality and complications, especially CCI ≥3 that was associated with significantly increased odds of Major Acute Cardiovascular & Cerebrovascular Events (OR 1.70, 95% CI 1.66 to 1.75), mortality (OR 1.74, 95% CI 1.68 to 1.79), acute ischemic stroke (OR 2.35, 95% CI 2.23 to 2.46), and major bleeding (OR 1.64, 95% CI 1.59 to 1.69). Co-morbidity burden has significantly increased amongst those presenting with ACS over an 11-year period and correlates with reduced likelihood of receipt of invasive management and increased odds of mortality and adverse outcomes. In conclusion, objective assessment of co-morbidities using CCI score identifies high-risk ACS patients in whom targeted risk reduction strategies may reduce their inherent risk of mortality and complications.

Validation and Comparison of a Modified Elixhauser Index for Predicting In-Hospital Mortality in Italian Internal Medicine Wards

PURPOSE

Burden of comorbidities appears to be related to clinical outcomes in hospitalized patients. Clinical stratification of admitted patients could be obtained calculating a comorbidity score, which represents the simplest way to identify the severity of patients' clinical conditions and a practical approach to assess prevalent comorbidities. Our aim was to validate a modified Elixhauser score for predicting in-hospital mortality (IHM) in internal medicine admissions and to compare it with a different one derived from clinical data previously used in a similar setting, having a good prognostic accuracy.

PATIENTS AND METHODS

A single-center retrospective study enrolled all patients admitted to internal medicine department between January and June 2016. A modified Elixhauser score was calculated from chart review and administrative data; moreover, a second prognostic index was calculated from chart review only. Comorbidity scores were compared using c-statistic.

RESULTS

We analyzed 1614 individuals without selecting the reason for admission, 224 (13.9%) died during hospital stay. Deceased subjects were older (83.3±9.1 vs 78.4±13.5 years; p<0.001) and had higher burden of comorbidities. The modified Elixhauser score calculated by administrative data and by chart review and the comparator one was 18.13±9.36 vs 24.43±11.27 vs 7.63±3.3, respectively, and the c-statistic was 0.758 (95% CI 0.727-0.790), 0.811 (95% CI 0.782-0.840) and 0.740 (95% CI 0.709-0.771), respectively.

CONCLUSION

The new modified Elixhauser score showed a similar performance to a previous clinical prognostic index when it was calculated using administrative data; however, its performance improved if calculation was based on chart review.

The interaction effect of cardiac and non-cardiac comorbidity on myocardial infarction mortality: A nationwide cohort study

BACKGROUND

Whether the prognostic impact of comorbidity on myocardial infarction (MI) mortality is due to comorbidity alone or/and its interaction effect is unknown.

METHODS

We used Danish medical registries to conduct a nationwide cohort study of all first-time MIs during 1995-2016 (n = 179,515) and a comparison cohort matched on age, sex, and individual comorbidities (n = 880,347). We calculated age-standardized 5-year all-cause mortality rates. Interaction was examined on an additive scale by calculating interaction contrasts (difference in rate differences).

RESULTS

Among individuals without comorbidity, the 30-day mortality rate per 1000 person-years was 1851 (95% CI: 1818-1884) for MI patients and 22 (21-24) for comparison cohort members (rate difference = 1829). For individuals with low comorbidity, corresponding baseline mortality rates were 2498 (2436-2560) in the MI and 54 (50-57) in the comparison cohort (rate difference = 2444). The interaction contrast (616) indicated that the interaction accounted for 25% (616/2498) of the total 30-day mortality rate in MI patients with low comorbidity. This percentage increased further for moderate (35%) and severe (45%) comorbidity levels. Absolute and relative interaction effects were largest within the first 30 days and younger individuals. Dose-response patterns were also observed during 31-365 days and 1-5 years of follow-up (p-values for trends<0.002). The interaction differed substantially between individual types of cardiac and non-cardiac comorbidities.

CONCLUSION

Cardiac and non-cardiac comorbidities interact with MI to increase short- and long-term mortality beyond that explained by their additive effects. The interaction had a dose-response relation with comorbidity burden and a magnitude of clinical importance.

Impact of hospital admissions subsequent to renal transplantation on Italian regional resources: a retrospective study in the Italian region of Emilia-Romagna

BACKGROUND

Aim of this retrospective study was to investigate costs and resource consuming, expressed by diagnosis related groups (DRG), related only to hospitalizations of renal transplant recipients (RTRs) for all causes in the Region Emilia Romagna (RER) in Italy.

METHODS

We included all hospital admissions of RTRs (International Classification of Diseases 9th Revision, Clinical Modification [ICD-9-CM] code V420) between 2001 and 2015. We calculated number of admissions, RTRs and inhabitants of RER for each year, mean age, length of stay (LOS) in the hospital as total number of days, mean and median days, mean value of DRG and costs of admissions during the 15-year period of the study.

RESULTS

RTRs admitted in the 15 years study period were 9,197 and mean age 56.6±1.6 years. Admissions were 14,558, and mean rate of admitted RTRs (*100,000) was 14.21. Total, mean and median LOS were 122,966, 8.7 and 6 days, respectively. Total costs of admissions during the study period were €72,717,232 with mean DRG values of €3,409. Number of admissions and total number of days required for RTRs as well as mean age of admitted patients increased from 2001 to 2015, however mean and median LOS remained stable.

CONCLUSIONS

Costs due to admissions of RTRs appeared to gradually increase in the long term probably due to the increasing number of admissions and increasing mean age of admitted RTRs.

Acute Kidney Injury and In-Hospital Mortality: A Retrospective Analysis of a Nationwide Administrative Database of Elderly Subjects in Italy

BACKGROUND

The aim of this study was to investigate the association between acute kidney injury (AKI) and in-hospital mortality (IHM) in a large nationwide cohort of elderly subjects in Italy.

METHODS

We analyzed the hospitalization data of all patients aged ≥65 years, who were discharged with a diagnosis of AKI, which was identified by the presence of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), and extracted from the Italian Health Ministry database (January 2000 to December 2015). Data regarding age, gender, dialysis treatment, and comorbidity, including the development of sepsis, were also collected.

RESULTS

We evaluated 760,664 hospitalizations, the mean age was 80.5 ± 7.8 years, males represented 52.2% of the population, and 9% underwent dialysis treatment. IHM was 27.7% (210,661 admissions): Deceased patients were more likely to be older, undergoing dialysis treatment, and to be sicker than the survivors. The population was classified on the basis of tertiles of comorbidity score (the first group 7.48 ± 1.99, the second 13.67 ± 2,04, and third 22.12 ± 4.13). IHM was higher in the third tertile, whilst dialysis-dependent AKI was highest in the first. Dialysis-dependent AKI was associated with an odds ratios (OR) of 2.721; 95% confidence interval (CI) 2.676-2.766; p < 0.001, development of sepsis was associated with an OR of 1.990; 95% CI 1.948-2.033; p < 0.001, the second tertile of comorbidity was associated with an OR of 1.750; 95% CI 1.726-1.774; p < 0.001, and the third tertile of comorbidity was associated with an OR of 2.522; 95% CI 2.486-2.559; p < 0.001.

CONCLUSIONS

In elderly subjects with AKI discharge codes, IHM is a frequent complication affecting more than a quarter of the investigated population. The increasing burden of comorbidity, dialysis-dependent AKI, and sepsis are the major risk factors.

Polyvascular disease in patients with myocardial infarction and chronic kidney disease

Aim. To study polyvascular disease in patients with myocardial infarction (MI) and chronic kidney disease (CKD). Materials and methods. A total of 954 patients older than 18 years old with ST-segment elevation MI (STEMI) up to 24 hours of pain onset were included in the study. Clinical and demographic data were collected for all patients, including physical examination, 16-lead electrocardiogram recording, echocardiography, laboratory assessment with the measurements of cardiospecific enzymes and serum creatinine. Glomerular filtration rate (GFR) was estimated according to the CKD-EPI equation. Of them, 771 (81%) underwent coronary angiography, duplex scanning of the brachiocephalic (BCA) and lower extremity arteries (LEA). Patients with stage 1-4 CKD diagnosed according to the criteria provided by the Russian Society of Nephrologists were allocated into a separate group (n=281; 36.5%). CKD stages were determined with the level of GFR. Patients with stage 5 CKD were excluded from the study. Renal dysfunction was defined as the presence of an estimated GFR less than 60 ml/min/1.73 m2. Results and discussion. The results of the study indicate a high prevalence of PolyVD in patients with CKD. Every second patient had LEA stenosis (p

Takotsubo syndrome and dialysis: an uncommon association?

This review was performed to investigate the association between treatment with dialysis and Takotsubo syndrome in patients with end-stage renal disease. We systematically explored the PubMed database using the search terms "Takotsubo cardiomyopathy" and/or "stress-induced cardiomyopathy" and/or "Takotsubo syndrome" in combination with "dialysis" and "uremia." Of 3630 articles found, 8 articles reporting 10 cases were selected for analysis. Most patients were women, and their age ranged from 51 to 84 years. Diabetes mellitus and hypertension were diagnosed in 40% of patients, and glomerular disease was diagnosed in 30%. One only patient was treated with peritoneal dialysis; all others were treated with hemodialysis. The outcome was unfavorable in only one patient. An association between Takotsubo syndrome and dialysis is uncommon, but not negligible, and comorbidities play a major role in determining the clinical outcome.

Impact of co-morbid burden on mortality in patients with coronary heart disease, heart failure, and cerebrovascular accident: a systematic review and meta-analysis

Aims

We sought to investigate the prognostic impact of co-morbid burden as defined by the Charlson Co-morbidity Index (CCI) in patients with a range of prevalent cardiovascular diseases.

Methods and results

We searched MEDLINE and EMBASE to identify studies that evaluated the impact of CCI on mortality in patients with cardiovascular disease. A random-effects meta-analysis was undertaken to evaluate the impact of CCI on mortality in patients with coronary heart disease (CHD), heart failure (HF), and cerebrovascular accident (CVA). A total of 11 studies of acute coronary syndrome (ACS), 2 stable coronary disease, 5 percutaneous coronary intervention (PCI), 13 HF, and 4 CVA met the inclusion criteria. An increase in CCI score per point was significantly associated with a greater risk of mortality in patients with ACS [pooled relative risk ratio (RR) 1.33; 95% CI 1.15-1.54], PCI (RR 1.21; 95% CI 1.12-1.31), stable coronary artery disease (RR 1.38; 95% CI 1.29-1.48), and HF (RR 1.21; 95% CI 1.13-1.29), but not CVA. A CCI score of >2 significantly increased the risk of mortality in ACS (RR 2.52; 95% CI 1.58-4.04), PCI (RR 3.36; 95% CI 2.14-5.29), HF (RR 1.76; 95% CI 1.65-1.87), and CVA (RR 3.80; 95% CI 1.20-12.01).

Conclusion

Increasing co-morbid burden as defined by CCI is associated with a significant increase in risk of mortality in patients with underlying CHD, HF, and CVA. CCI provides a simple way of predicting adverse outcomes in patients with cardiovascular disease and should be incorporated into decision-making processes when counselling patients.

Infections and internal medicine patients: Could a comorbidity score predict in-hospital mortality?

Infectious diseases (ID) are frequently cause of internal medicine wards (IMW) admission. We aimed to evaluate risk factors for in-hospital mortality (IHM) in IMW patients with ID, and to test the usefulness of a comorbidity score (CS).This study included ID hospital admissions between January 2013, and December 2016, recorded in the database of the local hospital. ICD-9-CM codes were selected to identify infections, development of sepsis, and to calculate a CS.We analyzed 12,173 records, (age 64.8 ± 25.1 years, females 66.2%, sepsis 9.3%). Deceased subjects (1545, 12.7%) were older, had higher percentage of sepsis, pulmonary infections, and endocarditis. Mean value of CS was also significantly higher. At multivariate analysis, the odds ratio (OR) for sepsis (OR 5.961), endocarditis (OR 4.247), pulmonary infections (OR 1.905), other sites of infection (OR 1.671), and urinary tracts infections (OR 0.548), were independently associated with IHM. The CS (OR 1.070 per unit of increasing score), was independently associated with IHM as well. The calculated weighted risk, obtained by multiplying 1.070 for the mean score value in deceased patients, was 19.367. Receiver operating characteristic (ROC) analysis showed that CS and development of sepsis were significant predictors for IHM (area under the curve, AUC: 0.724 and 0.670, respectively).Careful evaluation of comorbidity in internal medicine patients is nowadays matter of extreme importance in IMW patients hospitalized for ID, being IHM related to severity of disease, type and site of infection, and also to concomitant comorbidities. In these patients, a careful evaluation of CS should represent a fundamental step in the disease management.

A modified Elixhauser score for predicting in-hospital mortality in internal medicine admissions

BACKGROUND

In-hospital mortality (IHM) is an indicator of the quality of care provided. The two most widely used scores for predicting IHM by International Classification of Diseases (ICD) codes are the Elixhauser (EI) and the Charlson Comorbidity indexes. Our aim was to obtain new measures based on internal medicine ICD codes for the original EI, to detect risk for IHM.

MATERIAL AND METHODS

This single-center retrospective study included hospital admissions for any cause in the department of internal medicine between January 1, 2000, and December 31, 2013, recorded in the hospital database. The EI was calculated for evaluation of comorbidity, then we added age, gender and diagnosis of ischemic heart disease. IHM was our outcome. Only predictors positively associated with IHM were taken into consideration and the Sullivan's method was applied in order to modify the parameter estimates of the regression model into an index.

RESULTS

We analyzed 75,586 admissions (53.4% females) and mean age was 72.7±16.3years. IHM was 7.9% and mean score was 12.1±7.6. The points assigned to each condition ranged from 0 to 16, and the possible range of the score varied between 0 and 89. In our population the score ranged from 0 to 54, and it was higher in the deceased group. Receiver operating characteristic curve of the new score was 0.721 (95% CI 0.714-0.727, p<0.001).

CONCLUSIONS

In order to make prognostic assessment, the use of a score could be of help in targeting interventions in older adults, identifying subjects at high risk for IHM.

Lack of a "Weekend Effect" for Renal Transplant Recipients

The "weekend (WE) effect" defines the association between WE hospital admissions and higher rate of mortality. The aim of this study was to evaluate the relationship between WE effect and renal transplant recipients (RTRs) using the database of the Emilia-Romagna region (ERR), Italy. We included ERR admissions of RTRs ( International Classification of Diseases, Ninth Revision, Clinical Modification [ ICD-9-CM] code V420) between 2000 and 2013. In-hospital mortality, admissions due to cardiovascular events (CVEs), and the Elixhauser score were evaluated on the basis of ICD-9-CM codification. Out of 9063 hospital admissions related to 3648 RTRs (mean age 53 ± 13 years, 62.9% male), 1491 (16.5%) were recorded during the WE. During the follow-up period, 1581 (17.4%) patients deceased and 366 (4%) had CVEs. Length of hospital stay (LOS) was 9.7 ± 12.1 days. Logistic regression analysis showed that only LOS was independently associated with WE admissions (odds ratio: 1594, confidence interval: 1.385-1.833; P < .001). Renal transplant recipients are not exposed to higher risk of adverse outcome during WE admissions. However, WE admissions were characterized by an increased duration of hospitalization.

Lung and kidney: a dangerous liaison? A population-based cohort study in COPD patients in Italy

BACKGROUND

COPD is among the major causes of death, and it is associated with several comorbid conditions. Chronic kidney disease (CKD) is frequently diagnosed in older people living in Western societies and could impact COPD patients' mortality. We evaluated the relationship between burden of comorbidities, CKD, and mortality in a population-based cohort of patients discharged with a diagnosis of COPD.

METHODS

A longitudinal cohort study was conducted evaluating 27,272 COPD patients. Recruitment of COPD subjects and identification of CKD and other comorbidities summarized by the Charlson comorbidity index (CCI) were based on claims data coded according to the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). Severity of COPD was classified by hospital diagnosis or exemption from medical charges due to respiratory failure or previous hospitalizations for COPD. The impact of comorbidities on survival was assessed by Cox regression.

RESULTS

Less than 40% of patients were still alive at the end of a median follow-up of 37 months (17 months for patients who died and 56 months for those alive at the end of follow-up). After adjustment for age, gender, and severity score of COPD, CKD (hazard ratio =1.36, 95% confidence interval 1.30-1.42) independently from comorbidities summarized by the CCI was a significant risk factor for mortality.

CONCLUSION

In spite of limitations due to the use of claims data, long-term survival of COPD patients was heavily affected by the presence of CKD and other comorbidities.

Impact of comorbidity on outcome in kidney transplant recipients: a retrospective study in Italy

The aim of this study was to relate in-hospital mortality (IHM), cardiovascular events (CVEs) and non-immunologic comorbidity evaluated on the basis of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codification, in Italian kidney transplant recipients (KTRs). We evaluated IHM and admissions due to CVEs between 2000 and 2013 recorded in the database of the region Emilia Romagna. The Elixhauser score was calculated for evaluation of non-immunologic comorbidity. Three main outcomes (i.e. IHM, admission due to major CVEs and combined outcome) were the dependent variables of the multivariate models, while age, gender and Elixhauser score were the independent ones. During the examined period, a total of 9063 admissions in 3648 KTRs were recorded; 1945 patients were males (53.3 %) and 1703 females (46.7 %) and the mean age was 52.9 ± 13.1 years. The non-immunological impaired status of the KTRs, examined by the Elixhauser score, was 3.88 ± 4.29. During the 14-year follow-up period, IHM for any cause was 3.2 % (n = 117), and admissions due to CVEs were 527 (5.8 %). Age and comorbidity were independently associated with CVEs, IHM and the combined outcome. Male gender was independently associated with IHM and combined outcome, but not with CVEs. Evaluation of non-immunological comorbidity is important in KTRs and identification of high-risk patients for major clinical events could improve outcome. Moreover, comorbidity could be even more important in chronic kidney disease patients who are waiting for a kidney transplant.

Impact of renal dysfunction on in-hospital mortality of patients with severe chronic obstructive pulmonary disease: a single-center Italian study

BACKGROUND

We conducted a study, based on discharge hospital sheets [International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM)], in order to evaluate the relationship between chronic kidney disease (CKD), acute kidney injury (AKI), multi-morbidity, and in-hospital mortality (IHM).

METHODS

This study included all hospital admissions for chronic obstructive pulmonary disease (COPD) exacerbations between January 1, 2000, and December 31, 2013, recorded in the database of the University Hospital St. Anna of Ferrara. Age, sex, and diagnosis of CKD and AKI were collected, and Charlson comorbidity index (CCI) was calculated by ICD-9-CM codes. IHM was our main outcome.

RESULTS

We analyzed 7073 subjects with COPD exacerbation; they were more frequently male (56.9 vs 43.1 %), and mean age was 76.7 ± 9.8 years. Diagnosis of CKD was present in 771 patients (10.9 %), while AKI was diagnosed in 354 cases (5 %). A total of 554 patients (7.8 %) died during hospitalization, and LOS was 10.3 ± 11.2 days (median 8 days); the CCI corrected for CKD was 2.30 ± 1.65. Univariate analysis showed that IHM group had higher age (81.2 ± 7.9 vs 76.3 ± 9.9 years, p < 0.001), CCI (2.61 ± 2.21 vs 2.28 ± 1.62, p = 0.001), and LOS (11.1 ± 15.1 vs 10.3 ± 10.8 days, p = 0.001) and developed AKI more frequently (16.6 vs 4 %, p < 0.001) than survivors. Multivariate logistic regression analysis showed an independent association of IHM with age (OR 1.063; 95 % CI 1.050-1.075, p < 0.001), male sex (OR 1.229; 95 % CI 1.016-1.486, p = 0.033), logCCI (OR 2.051; 95 % CI 1.419-2.964, p < 0.001), and AKI (OR 3.849; 95 % CI 2.874-5.155, p < 0.001).

CONCLUSIONS

Acute kidney injury (AKI) represents a very important predictive factor of IHM in male older adult with multi-morbidity admitted because of COPD exacerbations.

Temporal trends in the outcomes of patients with acute myocardial infarction associated with renal dysfunction over the past decade

BACKGROUND

Patients with renal dysfunction (RD) who present with acute myocardial infarction (AMI) are at a high risk for subsequent cardiovascular morbidity and mortality. We sought to evaluate changes in the short and long term mortality of AMI patients with RD compared to patients with normal renal function over the last decade.

METHODS

This study based on 4 bi-annually surveys was performed from 2002 to 2010 and included 9468 AMI patients, that were followed for 1year, of whom 2770 (29%) had reduced estimated GFR ([eGFR]<60ml/min/m(2)). Among patients with reduced eGFR: 1251 patients (45%) were included in the 2002-2005 surveys (early period) and 1519 (55%) in the 2006-2010 surveys (late period).

RESULTS

Patients with RD were more likely to have advanced cardiovascular disease, multiple comorbidities and higher in-hospital, 30-day, and 1-year mortality rates (8.1%,12.3% and 23% vs. 0.7%, 1.7% and 4%, respectively; all p<0.001). Patients with RD enrolled during the late survey periods were more likely to undergo primary PCI and be discharged with current evidence based medical treatment. 1-year mortality rates were significantly lower among patients with RD who were enrolled during the late vs. early survey periods: 22% vs. 25% respectively; (Log-rank P-value <0.001). Consistently, multivariate analysis showed that patients with RD who were enrolled during the late survey periods displayed a lower adjusted risk for 1-year mortality (HR 0.83; CI[0.70-0.94] P=0.01).

CONCLUSIONS

Prognosis of patients with RD admitted with AMI has significantly improved over the last decade, possibly due to an improvement of pharmacological and non-pharmacological management.

A possible relationship between renal impairment and complications development in type 2 diabetes mellitus: a prospective, observational study in Italy

BACKGROUND

We investigated the relationship between complications development and estimated glomerular filtration rate (eGFR), in a cohort of type 2 diabetes mellitus (T2DM) outpatients.

METHODS

This observational study considered 1284 T2DM outpatients, who had been followed-up for 4.5 ± 1.6 years. eGFR was estimated using Chronic Kidney Disease Epidemiology Collaboration equation. The independent relationship between development of complications and clinical data was evaluated, and hazard ratio (HR) by Cox regression analysis calculated.

RESULTS

Mean age of the population was 66.8 ± 10.4 years; mean serum creatinine and eGFR were 1.05 ± 0.36 mg/dl and 71.6 ± 21.6 ml/min/1.73 m(2), respectively. Complications including death (14.2% of the whole population) were recorded in 504 subjects (39.3%). Patients with complications were older and more frequently male with history of hypertension, coronary heart disease, congestive heart disease, retinopathy, nephropathy and had higher levels of glycated hemoglobin. At Cox regression analysis, eGFR was the major risk factor for development of complications, and the HR increased according with lower eGFR (HR 1.53 and 1.86, for eGFR<45 and<30 ml/min/1.73 m(2), respectively).

CONCLUSIONS

In our cohort of T2DM outpatients, a reduced eGFR was associated with an increased risk of complications development.

All-cause mortality and estimated renal function in type 2 diabetes mellitus outpatients: Is there a relationship with the equation used?

BACKGROUND

We investigated the relationship between serum creatinine (SCr) and estimated glomerular filtration rate (eGFR), evaluated by different formulae, and all-cause mortality (ACM) in type 2 diabetes mellitus (T2DM) outpatients.

METHODS

This observational cohort study considered 1365 T2DM outpatients, who had been followed up for a period of up to 11 years. eGFR was estimated using several equations.

RESULTS

Seventy subjects (5.1%) died after a follow-up of 9.8 ± 3 years. Univariate analysis showed that diagnosis of nephropathy (odds ratio (OR): 2.554, 95% confidence interval (CI): 1.616-4.038, p < 0.001) and microvascular complications (OR: 2.281, 95% CI: 1.449-3.593, p < 0.001) were associated with ACM. Receiving operating characteristic (ROC) curves showed that the areas under the curve for ACM were similar using the different eGFR equations. eGFR values were predictors of ACM, and the hazard ratios (HRs) of the different equations for eGFR estimation were similar.

CONCLUSION

In our cohort of T2DM outpatients, different eGFR equations perform similarly in predicting ACM, whereas SCr did not.

Association between in-hospital mortality and renal dysfunction in 186,219 patients hospitalized for acute stroke in the Emilia-Romagna region of Italy

Using a regional Italian database, we evaluated the relationship between renal dysfunction and in-hospital mortality (IHM) in patients with acute stroke (ischemic/hemorrhagic). Patients were classified on the basis of renal damage: without renal dysfunction, with chronic kidney disease (CKD), and with end-stage renal disease (ESRD). Of a total of 186,219 patients with a first episode of stroke, 1626 (0.9%) had CKD and 819 (0.4%) had ESRD. Stroke-related IHM (total cases) was independently associated with CKD, ESRD, atrial fibrillation (AF), age, and Charlson comorbidity index (CCI). In patients with ischemic stroke (n=154,026), IHM remained independently associated with CKD, ESRD, AF, and CCI. In patients with hemorrhagic stroke (n=32,189), variables that were independently associated with IHM were CKD, ESRD, and AF. Renal dysfunction is associated with IHM related to stroke, both ischemic and hemorrhagic, with even higher odds ratios than those of other established risk factors, such as age, comorbidities, and AF.