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Increasing inequalities in all-cause and cardiovascular mortality among US adults aged 25-64 years by area socioeconomic status, 1969-1998.

BACKGROUND: This study examined the extent to which areal socio-economic gradients in all-cause and cardiovascular disease (CVD) mortality among US men and women aged 25-64 years increased between 1969 and 1998. METHODS: Using factor analysis 17 census tract variables were used to develop an areal index of socio-economic status that was used to stratify all US counties into five socio-economic categories. By linking the index to county-level mortality data from 1969 to 1998, we calculated annual age-adjusted mortality rates for each area socio-economic group. Poisson regression models were fitted to estimate areal socio-economic gradients in mortality over time. RESULTS: Areal socio-economic gradients in all-cause and cardiovascular mortality have increased substantially over the past three decades. Compared to men in the highest area socio-economic group, rates of all-cause and CVD mortality among men in the lowest area socio-economic group were 42% and 30% greater in 1969-1970 and 73% and 79% greater in 1997-1998, respectively. The gradients in mortality among women were steeper for CVD than for all causes. Compared to women in the highest area socio-economic group, rates of all-cause and CVD mortality among women in the lowest area socio-economic group were 29% and 49% greater in 1969-1970 and 53% and 94% greater in 1997-1998, respectively. CONCLUSIONS: Although US all-cause and cardiovascular mortality declined for all area socio-economic groups during 1969-1998, the gradient increased because of significantly larger mortality declines in the higher socio-economic groups. Increasing areal inequalities in mortality shown here may be related to increasing temporal differences in the material and social living conditions between areas.

Adult↗

Cohort patterns in mortality trends among the elderly in seven European countries, 1950-99.

BACKGROUND: Secular trends in old-age mortality are of crucial importance to population ageing. For the understanding and prediction of these trends, it is important to determine whether birth cohort effects, i.e. long-lasting effects of exposures earlier in life, are important in determining mortality trends up to old age. This study aimed to identify and describe cohort patterns in trends in mortality among the elderly (>60 years of age) in seven European countries. METHODS: A standard age-period-cohort analysis was applied to all-cause and cause-specific mortality data by 5-year age groups and sex, for Denmark, England and Wales, Finland, France, The Netherlands, Norway, and Sweden, in the period 1950-99. RESULTS: Cohort patterns were identified in all countries, for both the sexes and virtually all causes of death. They strongly influenced the trends in all-cause mortality among Danish, Dutch, and Norwegian men, and the trends in mortality from infectious diseases, lung cancer (men only), prostate cancer, breast cancer, and chronic obstructive pulmonary disease (COPD). All-cause mortality decline stagnated among Danish, Dutch, and Norwegian male birth cohorts born between 1890 and 1915, among French men born after 1920, and among women from all countries born after 1920. Where all-cause mortality decline stagnated, cohort patterns in mortality from lung cancer, COPD, and to a lesser extent ischaemic heart diseases, were unfavourable as well. For infectious diseases, stomach cancer, and cerebrovascular diseases, mortality increased among cohorts born before 1890, and decreased strongly thereafter. CONCLUSIONS: Cohort effects related to factors such as living conditions in childhood and smoking in adulthood were important in determining the recent trends in mortality among the elderly in seven European countries.

Aged↗

Disentangling contextual effects on cause-specific mortality in a longitudinal 23-year follow-up study: impact of population density or socioeconomic environment?

BACKGROUND: Various studies have investigated urban/rural differences in cause-specific mortality. A separate body of literature has analysed effects of socioeconomic environment on mortality. Almost no studies have attempted to disentangle effects of population density and socioeconomic environment on mortality, beyond the effects of individual characteristics. METHODS: Considering all individuals living in the region of Scania, Sweden, from 1970-93, we performed 10 year mortality follow-ups on (i) individuals aged 55, (ii) individuals aged 65, and (iii) individuals aged 75 years at baseline. Cox multilevel models adjusted for individual factors allowed us to investigate the independent effects of population density and median income in the parish of residence on mortality from ischaemic heart disease (IHD), lung cancer, and chronic obstructive pulmonary disease (COPD) among individuals who had lived in the same parish for at least 10 years prior to mortality follow-up. RESULTS: In females, as in males, after adjustment for individual and contextual socioeconomic status, we found a dose-response association between population density and mortality from lung cancer and COPD in all age groups investigated, and from IHD especially in the youngest age group. Overall, the population density effect was the strongest on lung cancer mortality. Median income had an additional impact only in 2 out of 16 subgroups of age x gender x cause of death. CONCLUSIONS: In our region-wide study conducted at the parish level, contextual disparities in mortality were dominated by the population density effect. However, it may be unwise to conclude that truly contextual effects exist on mortality, before identification of plausible mediating processes through which urbanicity may influence mortality risk.

Aged↗

Cancer surveillance series: changing patterns of cutaneous malignant melanoma mortality rates among whites in the United States.

BACKGROUND: Mortality from melanoma among whites is still increasing in the United States. In this study, we describe the changing patterns of melanoma mortality rates among whites by demographic factors and geography and further assess the relationship between the geographic patterns and the UV radiation (UV-B) level. METHODS: Age-adjusted incidence and mortality rates were computed by use of the 1970 U.S. population standard. Annual percent changes of mortality were estimated by fitting regression lines to the logarithm of rates. The relationships between melanoma mortality rates and UV-B level over time were assessed by weighted regressions. All statistical tests were two-sided. RESULTS: From 1950-1954 through 1990-1994, melanoma mortality rates increased by 191% and 84% among males and females, respectively. Mortality rates peaked in the 1930 through 1950 birth cohorts for females and in the 1935 through 1950 birth cohorts for males. In the 1950 through 1969 study period, melanoma mortality rates showed a strong North-South gradient, but the gradient weakened in recent periods. The absolute change in mortality for a 10% increase in UV-B among females decreased from 0.08 additional deaths per 100 000 person-years in 1950-1959 to 0.01 additional deaths in 1990-1995. In contrast, the absolute change in mortality among males showed little change over time; additional deaths increased from 0.11 to 0.12 per 100 000 person-years. CONCLUSIONS: Melanoma mortality in the United States reflects the complex interplay of UV radiation levels in each geographic region, the sun-protection behaviors of each generation of males and females in childhood and adulthood, the geographic mobility of the population, and the risk awareness and early detection.

Adult↗

Changing area socioeconomic patterns in U.S. cancer mortality, 1950-1998: Part I--All cancers among men.

BACKGROUND: Area socioeconomic deprivation indices are widely used to monitor health disparities in Europe. However, such indices have not been used in cancer surveillance in the United States. We developed an area socioeconomic index to examine area socioeconomic patterns in all-cancer mortality among U.S. men between 1950 and 1998. METHODS: Principal components analysis on 11 census variables was used to develop an area socioeconomic index that was then used to stratify all U.S. counties into one of five socioeconomic categories. The index was linked to 1950-1998 county mortality data to generate annual mortality rates for each area socioeconomic group. Joinpoint regression analysis was used to model mortality trends, and Poisson regression analysis was used to estimate socioeconomic gradients in mortality over time. RESULTS: Area socioeconomic patterns in U.S. male cancer mortality changed dramatically between 1950 and 1998. Throughout the 1950s and 1960s, there was a positive socioeconomic gradient, with higher cancer mortality rates in high area socioeconomic groups than in low area socioeconomic groups. For example, in 1950-1952, cancer mortality was 49% (95% confidence interval [CI] = 41% to 59%) greater in the highest area socioeconomic group than in the lowest. The positive gradient narrowed in the 1970s, and by the late 1980s, socioeconomic differences in cancer mortality began to reverse and widen. In 1997-1998, cancer mortality was 19% (95% CI = 11% to 28%) higher in the lowest area socioeconomic group than in the highest. Gradients were steeper for men aged 25-64 years than for men aged 65 years or older. CONCLUSIONS: Socioeconomic patterns in male cancer mortality have reversed over time in the United States. Area socioeconomic indices could serve as a powerful surveillance tool for monitoring health disparities in cancer outcomes.

Adolescent↗

No long-term excess mortality after measles infection: a community study from Senegal.

Because measles immunization has been found in all studies to reduce mortality with more than the share of deaths attributed to acute measles, the authors examined mortality after measles infection in a study in a rural area of Senegal that included 6,924 unimmunized children, whom 1,118 developed measles. Age-adjusted post-measles mortality was similar to the mortality of unvaccinated, uninfected children (mortality ratio (MR) = 1.04, 95% confidence interval (CI) 0.80-1.35). When controlling for source of infection, mortality rate was significantly different for children who contracted measles from a person outside the home (index cases vs. unvaccinated, uninfected MR = 0.27, 95% CI 0.09-0.85) and for children infected at home (secondary cases vs. unvaccinated, uninfected MR = 1.10, 95% CI 0.80-1.51). Hence, secondary cases had markedly higher long-term mortality than did index cases (MR = 4.13, 95% CI 1.26-13.58). These estimates were essentially unchanged when the effects of season, period, separation from mother, size of community, and size of compound were investigated using a multivariate Cox regression model. The authors conclude that measles infection was not associated with increased mortality after the acute phase of infection and that index cases had lower mortality than uninfected, unvaccinated children. The reduction in mortality after measles immunization can therefore not be explained by the prevention of post-measles mortality.

Age Factors↗

Mortality in rheumatoid arthritis: relationship to single and composite measures of disease activity.

BACKGROUND: Rheumatoid arthritis (RA) is a heterogeneous disease characterized by a variable course of remissions and relapses. Single measures of disease activity at only one point in time may not reflect the overall control of disease activity. OBJECTIVE: The aim was to determine (i) the predictive value of 20 baseline demographic and disease variables on mortality, and (ii) the relationship between serial measures of the Stoke index (SI; a validated index of disease activity in RA) and mortality in RA. METHODS: Mortality in 309 RA patients followed up for a median of 14 yr was analysed retrospectively. The standardized mortality ratio (SMR) was calculated for all causes of death. The predictive values of baseline and time-integrated variables were assessed using multivariate Cox proportional hazards regression analysis. RESULTS: The SMR was 1.65. At baseline, only nodules, erosions, RA latex titre, white cell count and globulin level were predictive of mortality after correction for age, sex and disease duration. Using a stepwise Cox proportional hazards regression model, the most powerful predictors of mortality were age, nodules and RA latex titre. Individual measures of disease activity and the SI at baseline were not predictive of mortality. However, the mean level of the SI over 12 months was related to mortality (P=0.039). CONCLUSIONS: At baseline, the demographic and disease variables most significantly related to mortality in RA are age, nodules and RA latex titre. Individual measures of disease activity at a single point in time are poor predictors of mortality in RA. However, measurement of the mean level of disease activity over time using the composite SI has a significant relationship with mortality. A high level of sustained inflammation appears to be an important predictor of premature death.

Adult↗

Race and gender differences in acute respiratory distress syndrome deaths in the United States: an analysis of multiple-cause mortality data (1979- 1996).

OBJECTIVE: Acute respiratory distress syndrome (ARDS) is a devastating clinical disorder that affects critically ill patients with a wide variety of underlying illnesses. Presently, there is limited population-based information concerning both the impact of ARDS on mortality, and the effects of race and gender on national ARDS mortality rates. In this study, we have attempted to evaluate trends over an 18-yr period in deaths associated with ARDS in the United States. DESIGN: Case series. PATIENTS: The Multiple-Cause Mortality Files compiled by the National Center for Health Statistics from 1979-1996 contains information on 38,263,780 decedents. We identified 333,004 decedents who had ARDS. MEASUREMENTS AND MAIN RESULTS: We calculated age-adjusted annual ARDS mortality rates. The annual age-adjusted mortality rate for ARDS initially increased from 1979 (5.0 deaths per 100,000 individuals) to 1993 (8.1 deaths per 100,000 individuals). From 1993 to 1996, the mortality rate for ARDS decreased significantly to 7.4 deaths per 100,000 individuals. Annual ARDS mortality rates have been continuously higher for men when compared with women and for African-Americans when compared with white decedents and decedents of other racial backgrounds. When decedents were stratified by race and gender, African-American men had the highest ARDS mortality rates in comparison to all other subgroups (mean annual mortality rate of 12.8 deaths per 100,000 African-American men). CONCLUSIONS: Although the annual ARDS mortality rate is slowly declining in the United States, significant race and gender differences in ARDS mortality exist.

Acute Disease↗

Why cardiovascular mortality is higher in treated hypertensives versus subjects of the same age, in the general population.

OBJECTIVE: The aim of the present study was to assess whether increased cardiovascular mortality in treated hypertensives could be explained by high blood pressure levels, or by the presence of associated risk factors and/or associated diseases. DESIGN: The study sample consisted of 8893 treated hypertensive men and women from the Investigations Préventives et Cliniques cohort, and 25880 gender-matched and age-matched untreated subjects from the same cohort. Vital status was obtained for an 8-12 year period. RESULTS: Treated hypertensive subjects had higher systolic blood pressure (SBP) (+ 15 mmHg) and higher diastolic blood pressure (+ 9 mmHg), and a higher prevalence of associated risk factors and diseases. Treated hypertensives compared with untreated subjects presented a two-fold increase in the risk ratio (RR) for cardiovascular mortality [RR, 1.96; 95% confidence interval (CI), 1.74-2.22] and coronary mortality (RR, 1.99; 95% CI, 1.63-2.44). Adjustment for unmodifiable risk factors decreased the excess cardiovascular risk observed in treated subjects only slightly: RR, 1.77; 95% CI, 1.56-2.00 for cardiovascular mortality; and RR, 1.76; 95% CI, 1.44-2.16 for coronary mortality. After additional adjustment for modifiable associated risk factors, the increased mortality in treated subjects persisted: RR, 1.52; 95% CI, 1.33-1.74 for cardiovascular mortality; and RR, 1.49; 95% CI, 1.19-1.86 for coronary mortality. Only after additional adjustment for SBP were cardiovascular mortality and coronary mortality similar in the two groups of subjects: RR, 1.06; 95% CI, 0.92-1.23; and RR, 1.06; 95% CI, 0.85-1.35, respectively. CONCLUSIONS: The increased cardiovascular mortality in treated hypertensive subjects as compared with untreated subjects is mainly due to high SBP levels under treatment. This result suggests that the excess risk found in treated hypertensives may be drastically reduced if SBP were brought under control.

Adult↗

The impact of the quantity of skeletal injury on mortality and pulmonary morbidity.

OBJECTIVE: To determine if the quantity of skeletal injuries (and the timing to fixation) increases the mortality or pulmonary morbidity in patients with and without chest injuries. DESIGN: Retrospective analysis of trauma registry. Statistical analysis with multiple logistic regression and chi(2) analysis. METHODS: Looking specifically at adult patients (> 16 years), skeletal injury was quantified by determining the presence or absence of a fracture in specific body regions (humeri, forearm, femur, tibia, spine, and pelvis) for a maximum of 10 skeletal injuries. The timing of fixation for fractures was categorized as < 24 hours, < 48 hours, < 72 hours, < 5 days, > 5 days, or no fixation. Chest injuries and pulmonary morbidity were based on the accepted list of complications reported in the literature. RESULTS: Three groups were analyzed according to the presence or absence of a chest or skeletal injury: those without skeletal injury (group NSI, n = 59), those without chest injuries (group NCI, n = 108), and those with both skeletal and chest injuries (group B, n = 59) Pulmonary Complications: When all patient groups (NCI, NSI, and B) were pooled, greater chest injury (p < 0.0008), greater skeletal injury (p < 0.02), and delayed fixation (p < 0.04) were associated with increased risk of developing a pulmonary complication. In the group of patients without a chest injury (NCI), this risk was associated with greater head injury (p < 0.005) and greater skeletal injury (p < 0.04), whereas in the group without a skeletal injury (NSI), only chest injury demonstrated significance (p < 0.05). When both skeletal and chest injuries were present, greater head injury (p < 0.03) and fixation time (p < 0.03) increased the risk of developing a pulmonary complication. Mortality: With all patients pooled (NCI, B, and NSI), head injury (p < 0.02), abdominal injury (p < 0.012), and fixation time (p < 0.01) were risk factors. In patients without a chest injury (NCI), none of the indexed variables were associated with mortality. In patients without a skeletal injury (NSI), greater head injury (p < 0.01), greater chest injury (p < 0.01), and greater abdominal injury (p < 0.04) were risk factors for mortality. When both chest and skeletal injuries were present (B), only head injury (p < 0.0003) was associated with mortality. The prevalence of mortality and pulmonary complications were compared between groups NCI, NSI, and B. Group NCI had fewer pulmonary complications (p < 0.004) than the other groups (difference not significant). When examining mortality, group NCI had less mortality than groups NSI and B. CONCLUSION: The combination of skeletal and chest injuries does not seem to amplify the pulmonary morbidity and mortality compared with chest injury alone. The quantity of the skeletal injury and the time to fixation of structures affecting mobilization seem to have an effect on pulmonary morbidity and mortality. Better scientific studies on the effects of skeletal injury and timing to fixation in relation to pulmonary morbidity and mortality are required.

Adult↗

Morbidity and mortality in elderly trauma patients.

BACKGROUND: Despite an increasing incidence, relatively few studies have examined the factors that predict morbidity and mortality in older patients and several reports have found standard predictors such as the Injury Severity Score to be less useful in this patient population. Similarly, the effect of skeletal injury has not been examined with regard to complications and mortality. The purpose of this study was to review a large multicenter experience with elderly trauma patients to isolate factors that might predict morbidity and mortality. The potential effect of skeletal long-bone injury was of particular interest. METHODS: The charts of all patients older than 60 years who were admitted to one of four Level I trauma centers after sustaining blunt trauma were reviewed. Mechanisms of injury included in the study were motor vehicle crash, pedestrian struck, fall from a height, and crush injury. Slip-and-fall injuries were excluded. A total of 326 patients met inclusion criteria. Variables studied included age, sex, mechanism of injury, Injury Severity Score (ISS), Revised Trauma Score, Glasgow Coma Scale (GCS) score, blood transfusion, fluid resuscitation, surgery performed (laparotomy, long-bone fracture stabilization, both), and timing of surgery. Outcome variables measured included incidence of adult respiratory distress syndrome, pneumonia, sepsis, myocardial infarction, deep venous thromboembolism, gastrointestinal complications, and death. chi2, logistic regression, t test, and nonparametric analyses were done as appropriate for the type of variable. RESULTS: The average age of the patients was 72.2+/-8 years. Overall, 59 patients (18.1%) died, of whom 52 of 59 survived at least 24 hours. Statistical significance for continuous variables (p < 0.05) using univariate analysis was reached for the following factors for the patients who died: higher ISS (33.1 vs. 16.4), lower GCS score (11.5 vs. 13.9), greater transfusion requirement (10.9 vs. 2.9 U), and more fluid infused (12.4 vs. 4.9 L). Logistic regression analysis was performed to determine the factors that predicted mortality. They included (odds ratios and p values in parentheses) transfusion (1.11, p = 0.01), ISS (1.04, p = 0.008), GCS score (0.87, p = 0.007), and fluid requirement (1.06, p = 0.06). Regarding surgery, orthopedic surgery alone had an odds ratio of 0.53, indicating that orthopedic patients was less likely to die than patients who did not undergo any surgery. Patients who underwent only a general surgical procedure were 2.5 times more likely to die (p = 0.03) and patients who underwent both general and orthopedic procedures were 1.5 times more likely to die (p = 0.32) than patients who did not require surgery. Early (< or =24 hours) versus late (>24 hours) surgery for bony stabilization did not have a statistical effect on mortality (11% early vs. 18% late). Two patients in need of bony stabilization, however, died before these procedures were performed. With regard to complications, regression analysis revealed that ISS predicted adult respiratory distress syndrome, pneumonia, sepsis, and gastrointestinal complications; fluid transfusion predicted myocardial infusion; and need for surgery and transfusion requirements predicted sepsis. These complications, in turn, were significant risk factors for mortality. This large series of elderly patients demonstrates that mortality correlates closely with ISS and is influenced by blood and fluid requirements and by GCS score. The institution-specific mortality was the same when adjusted for ISS. The need for orthopedic surgery and the timing of the surgery was not a risk factor for systemic complications or mortality in this series. CONCLUSION: Mortality is predicted by ISS and by complications in older patients. Seventy-seven percent of the orthopedic injuries were stabilized early, but the timing of surgery did not have any statistical effect on the incidence of complications or mortality. (ABSTRACT TRUNCA

Aged↗

Heart rate reserve as a predictor of cardiovascular and all-cause mortality in men.

UNLABELLED: This study examined the relationship of heart rate reserve (HRR: maximal heart rate - resting heart rate) and cardiovascular disease mortality (CVD) or all-cause mortality among healthy men. METHODS: Subjects were 27,459 healthy men, age 20-59 yr, who completed a maximal treadmill exercise test and answered a health questionnaire at the baseline examination. We followed study participants from the baseline visit to the date of death or December 31, 1996, for survivors. RESULTS: Over an average follow-up of 13.0 +/- 6.2 yr, there were 724 deaths, 205 (28.3%) from CVD. For analyses, the men were stratified into two age groups: younger (20-39 yr) and older (40-59 yr). Cox regression analysis was used to adjust for age, resting heart rate, cardiorespiratory fitness (CRF), resting systolic blood pressure (SBP), SBP difference, cholesterol, triglycerides, body mass index (BMI), smoking, and alcohol consumption. Among younger men, HRR was the only factor associated with CVD mortality (instantaneous relative risk (RR) and 95% confidence interval for HRR = 0.6, 0.5-0.9 for CVD mortality by 10 beats.min(-1) increment), whereas only CRF and BMI were associated with all-cause mortality. Among older men, HRR was inversely associated with CVD and all-cause mortality, as were several other known risk factors, including CRF (RR(per 2 METs), and 95% CI for HRR = 0.7, 0.5-0.9 for CVD mortality and 0.8, 0.7-0.9 for all-cause mortality). CONCLUSIONS HRR, independent from CRF, was inversely associated with CVD mortality among men in this study. HRR may be an important exercise test parameter to predict CVD mortality in younger men, whereas CRF and other established risk factors are better predictors of CVD and all-cause mortality in older men.

Adult↗

Relation between fat intake and mortality: an ecological analysis in Belgium.

A representative sample of the Belgian population, aged 25-74 years, was interviewed between 1980 and 1985. Dietary habits were assessed using a 24 h food record method. Age-, sex- and district-specific energy-adjusted averages of macronutrient intakes were compared with mortality rates from 1988-90, with special emphasis on the association between fat intake and cancer mortality. Univariate analyses were followed by multiple linear regression analyses, controlling for possible confounders such as fibre intake, smoking and educational level. In multivariate analyses, significant positive associations were found between all-causes mortality and saturated fat intake in men, and between all-causes mortality and the ratio of n-3 to n-6 fatty acids in men; colorectal cancer mortality was associated with polyunsaturated fat intake and with the ratio of unsaturated to saturated fat in men. Significant negative associations were found between all-causes mortality and polyunsaturated fat intake in men, and between all-causes mortality and the ratio of unsaturated to saturated fat in men; colorectal cancer mortality was associated with saturated fat intake in men. In women, only breast cancer mortality was associated with saturated and monounsaturated fat intake. Prostate cancer mortality was not related to any of the studied dietary fat components. For total cancer mortality, only weak non-significant associations with fat intake were found.

Age Distribution↗

Influence of entry criteria on mortality risk and number of eligible patients in recent studies on severe sepsis.

OBJECTIVE: To understand the impact of patient selection criteria used in recent sepsis trials on baseline mortality risk and number of eligible patients. DESIGN: Observational cohort study, with retrospective analysis of prospectively collected data. METHODS AND MAIN RESULTS: Using a MEDLINE search, we selected recent randomized controlled trials in patients with severe sepsis and studied the mortality rate in the control groups of these trials. Nine articles fulfilled the search criteria and were used in our analyses. The 28-day mortality rate in the control groups of these trials varied between 28.0% and 89.0%. Differences in this mortality rate might be due to the use of different entry criteria but also to other factors that vary between the trials. To eliminate the influence of these confounding factors when studying the effect of the use of entry criteria on baseline mortality risk and number of eligible patients, we projected the entry criteria of these nine trials on a large independent database of >70,000 Dutch intensive care patients admitted between 1996 and 2003. This yielded nine groups of patients who would have been eligible for the respective trials. The percentage of patients who would have been eligible for these trials varied between 1.5% and 6.0%. Six of these groups had a similar intensive care mortality rate (between 25.0% and 28.9%). The projection of the entry criteria of the three other trials onto the database resulted in groups of patients with considerably higher intensive care mortality. For in-hospital mortality rate in these groups, similar results were found. CONCLUSIONS: The majority of the trials we studied used entry criteria that select patients with a similar mortality risk. This suggests that differences in baseline mortality risk reported in recent sepsis trials are to be attributed to other factors that vary between trials rather than to differences in entry criteria. However, entry criteria do have an important influence on the number of eligible patients for sepsis trials without influencing baseline mortality rate.

Adolescent↗

Race and surgical mortality in the United States.

OBJECTIVE: This study describes racial differences in postoperative mortality following 8 cardiovascular and cancer procedures and assesses possible explanations for these differences. SUMMARY BACKGROUND DATA: Although racial disparities in the use of surgical procedures are well established, relationships between race and operative mortality have not been assessed systematically. METHODS: We used national Medicare data to identify all patients undergoing one of 8 cardiovascular and cancer procedures between 1994 and 1999. We used multiple logistic regression to assess differences in operative mortality (death within 30 days or before discharge) between black patients and white patients, controlling for patient characteristics. Adding hospital indicators to these models, we then assessed the extent to which racial differences in operative mortality could be accounted for by the hospital in which patients were cared for. RESULTS: Black patients had higher crude mortality rates than white patients for 7 of the 8 operations, including coronary artery bypass, aortic valve replacement, abdominal aortic aneurysm repair, carotid endarterectomy, radical cystectomy, pancreatic resection, and esophagectomy. Among these 7 procedures, odds ratios of mortality (black versus white) ranged from 1.23 (95% confidence interval, 1.18-1.29) for CABG to 1.61 (95% confidence interval, 1.28-2.03) for esophagectomy. Adjusting for patient characteristics had modest or no effect on odds ratios of mortality by race. However, there remained few clinically or statistically significant differences in mortality by race after we accounted for hospital. Hospitals that treated a large proportion of black patients had higher mortality rates for all 8 procedures, for white as well as black patients. CONCLUSIONS: Black patients have higher operative mortality risks across a wide range of surgical procedures, in large part because of higher mortality rates at the hospitals they attend.

Aged↗

Influence of renal dysfunction on mortality after cardiac surgery: modifying effect of preoperative renal function.

BACKGROUND: Acute renal failure (ARF) requiring dialysis is an independent risk factor of mortality after cardiac surgery; the level of preoperative renal function influences the risk of both postoperative ARF and mortality. The relationship between mild renal dysfunction and mortality, and the modifying effect of baseline renal function on this association, is less clear. METHODS: We studied 31,677 patients undergoing cardiac surgery between 1993 and 2002. We used a logistic regression model to assess the relationship between postoperative renal dysfunction and mortality, while adjusting for preoperative renal function, postoperative ARF requiring dialysis, and other risk factors. RESULTS: The overall postoperative mortality rate was 2.2% (698/31,677). For the entire cohort, a clinically relevant increase in the adjusted risk of mortality occurred beyond 30% decline in postoperative GFR. The mortality rate was 5.9% (N, 292/4986) among patients who developed 30% or greater decline in postoperative GFR not requiring dialysis versus 0.4% (N, 106/26,136) among those with <30% decline (P < 0.001). A significant interaction between preoperative GFR and percent change in postoperative GFR (P < 0.001) indicated that at equivalent degrees of renal dysfunction, the mortality risk was greater at a lower preoperative GFR. ARF requiring dialysis was strongly associated with mortality in the model (odds ratio 4.2; 95% CI 3.1-5.7). CONCLUSION: Renal dysfunction not requiring dialysis is an independent risk factor of mortality after cardiac surgery. A better preoperative GFR attenuates the effect of postoperative renal dysfunction on mortality; this interaction needs to be considered while defining a clinically relevant threshold of ARF.

Acute Kidney Injury↗

Light to moderate alcohol consumption and mortality in the elderly.

OBJECTIVE: To determine whether there is a relationship of low to moderate alcohol consumption with cardiovascular mortality in the elderly. DESIGN: Prospective cohort studies with 5-year mortality follow-up. SETTING: Three populations of community-dwelling elders. PARTICIPANTS: Population-based cohorts of men and women, aged 65 or older, in three populations. Subjects with prior myocardial infarction, stroke, or cancer, as well as those lacking alcohol consumption data, were excluded from statistical analyses leaving 2,694 subjects in East Boston, Massachusetts, 2,293 subjects in Iowa, and 1,904 subjects in New Haven, Connecticut. MAIN OUTCOME MEASUREMENTS: Alcohol consumption, total mortality, cardiovascular mortality, and cancer mortality. RESULTS: Low to moderate alcohol consumption was associated with statistically significant lowered total as well as cardiovascular mortality in East Boston and New Haven. The relative risks of total mortality for low to moderate consumers of alcohol compared to those consuming no alcohol in the previous year were 0.7 (95% CI 0.6-0.8) in East Boston and 0.6 (95% CI 0.5-0.8) in New Haven. For cardiovascular mortality, the RRs were 0.6 in East Boston and 0.5 in New Haven (95% CI's exclude null). These results persisted after control for potential confounding variables. In Iowa, there were no significant differences in total or cardiovascular mortality according to alcohol consumption patterns. For cancer mortality, there were no significant associations with alcohol consumption in any of the three populations. CONCLUSIONS: These data suggest that the relationship of low to moderate alcohol consumption with reduced total and cardiovascular mortality, which are well documented in middle age, also occur in older populations.

Activities of Daily Living↗

Outcome of nursing home-acquired pneumonia: derivation and application of a practical model to predict 30 day mortality.

OBJECTIVES: To derive a prediction model of 30 day mortality for nursing home-acquired pneumonia (NHAP) based on factors that can be readily identified by nursing home staff at the time of diagnosis and to apply the model to management issues related to NHAP including clarifying the importance of prepneumonia functional status as a predictor of outcome of NHAP. DESIGN: This was a retrospective chart review of 378 episodes of NHAP treated in the nursing home or hospital during two periods: November 1997 to April 1998 and November 1998 to April 1999. SETTING: Eleven nursing homes in the greater Buffalo, NY region. PARTICIPANTS: Nursing home residents with radiographically proven pneumonia who had at least one of the following signs/symptoms: cough, fever, purulent sputum, respiratory rate > or =25 breaths/minute, localized auscultatory findings, or pleuritic pain. MEASUREMENTS: Status (alive or dead) of each resident at 30 days (30 day mortality) after diagnosis of NHAP was the dependent variable. Factors predicting 30 day mortality were identified by logistic regression analysis. A scoring system was developed based on the results of the logistic model. Each episode of NHAP in the derivation cohort was scored using the model and the cohort was stratified by the model score into six categories or risk for mortality (0-5). The predictability of the model in the derivation cohort was measured using receiver operator characteristics curve analysis. RESULTS: Of 378 episodes of NHAP, 74% were treated initially in the nursing home and 26% were hospitalized initially for treatment. The overall 30 day mortality was 21.4%; however, the mortality rate was significantly higher for those treated initially in the hospital (29.6% vs 16.6%; P = .012). Logistic regression analysis identified four predictors of 30 day mortality: (1) respiratory rate >30 breaths/minute (2 points), (2) pulse > 125 beats/minute (1 point), (3) altered mental status (1 point), and (4) a history of dementia (1 point). Applying the scoring system to each episode in the derivation cohort demonstrated increasing mortality with increasing score. The c statistic for the model in the derivation cohort was .74. Based on the severity of NHAP, model episodes treated initially in the hospital were more acutely ill than those who were treated initially in the nursing home, and episodes treated with a parenteral antibiotic in the nursing home were more acutely ill than those who were treated with an oral agent. Functional status was not a predictor of 30 day mortality although there was a trend of higher mortality in the most dependent group (P = .065). The severity of NHAP model was able to define low and high risk mortality groups within a functional status category. CONCLUSIONS: A severity of NHAP model was derived from a large cohort of episodes in multiple facilities. The model had reasonable discriminatory power in the derivation cohort. The model may aid clinicians in making treatment decisions in the nursing home setting and in making hospitalization decisions. Although prepneumonia functional status provides a reasonable estimate of NHAP severity and prognosis, the severity of NHAP model permitted further refinement of these estimates. The severity of NHAP model requires validation before it can be recommended for general use.

Activities of Daily Living↗