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Biomedical subjects

Marcello Pagano

Publications and source records attributed to Marcello Pagano.

10 recordsLinked to original sources

Age and temporal trends of total physical activity among Swedish women.

PURPOSE: Few epidemiological studies have been conducted among middle-aged women on long-term total and specific physical activity (PA) trends. We studied in a cross-sectional setting the relationship of self-reported total daily PA with age and calendar time. METHODS: In a population-based cohort of 38,988 women aged 49-83 yr in central Sweden, information was collected on physical activity, such as work or occupation, household work, walking or bicycling, exercise, watching TV or reading, and other lifestyle factors through a self-administered questionnaire. Total and specific daily PA levels at ages 15, 30, and 50 yr were recalled retrospectively and measured as metabolic equivalents (MET.h.d(-1)). RESULTS: Total PA level linearly decreased with calendar time in all three age groups (slope for 5-yr change in calendar time among those 15 yr of age = -0.82; 95% confidence interval (CI), -0.86 to -0.78; among those 30 yr of age=-0.42; 95% CI, -0.45 to -0.38; and among those 50 yr of age = -0.62; 95% CI, -0.66 to -0.58). High-intensity activities such as walking or bicycling decreased by 0.21 MET.h.d(-1) (95% CI, -0.22 to -0.20) every 5-calendar-year change among adolescents between the 1930s and 1960s. Total activity level decreased in all age groups by an average of approximately 3MET.h(-1).d(-1), corresponding to approximately 45 min of brisk walking. CONCLUSIONS: Our results suggest that intervention efforts aimed at engaging in healthful amounts of physical activity are needed throughout the life cycle.

Adult↗

Real time spatial cluster detection using interpoint distances among precise patient locations.

BACKGROUND: Public health departments in the United States are beginning to gain timely access to health data, often as soon as one day after a visit to a health care facility. Consequently, new approaches to outbreak surveillance are being developed. When cases cluster geographically, an analysis of their spatial distribution can facilitate outbreak detection. Our method focuses on detecting perturbations in the distribution of pair-wise distances among all patients in a geographical region. Barring outbreaks, this distribution can be quite stable over time. We sought to exemplify the method by measuring its cluster detection performance, and to determine factors affecting sensitivity to spatial clustering among patients presenting to hospital emergency departments with respiratory syndromes. METHODS: The approach was to (1) define a baseline spatial distribution of home addresses for a population of patients visiting an emergency department with respiratory syndromes using historical data; (2) develop a controlled feature set simulation by inserting simulated outbreak data with varied parameters into authentic background noise, thereby creating semisynthetic data; (3) compare the observed with the expected spatial distribution; (4) establish the relative value of different alarm strategies so as to maximize sensitivity for the detection of clustering; and (5) measure factors which have an impact on sensitivity. RESULTS: Overall sensitivity to detect spatial clustering was 62%. This contrasts with an overall alarm rate of less than 5% for the same number of extra visits when the extra visits were not characterized by geographic clustering. Clusters that produced the least number of alarms were those that were small in size (10 extra visits in a week, where visits per week ranged from 120 to 472), diffusely distributed over an area with a 3 km radius, and located close to the hospital (5 km) in a region most densely populated with patients to this hospital. Near perfect alarm rates were found for clusters that varied on the opposite extremes of these parameters (40 extra visits, within a 250 meter radius, 50 km from the hospital). CONCLUSION: Measuring perturbations in the interpoint distance distribution is a sensitive method for detecting spatial clustering. When cases are clustered geographically, there is clearly power to detect clustering when the spatial distribution is represented by the M statistic, even when clusters are small in size. By varying independent parameters of simulated outbreaks, we have demonstrated empirically the limits of detection of different types of outbreaks.

Ambulatory Care↗

The interpoint distance distribution as a descriptor of point patterns, with an application to spatial disease clustering.

The topic of this paper is the distribution of the distance between two points distributed independently in space. We illustrate the use of this interpoint distance distribution to describe the characteristics of a set of points within some fixed region. The properties of its sample version, and thus the inference about this function, are discussed both in the discrete and in the continuous setting. We illustrate its use in the detection of spatial clustering by application to a well-known leukaemia data set, and report on the results of a simulation experiment designed to study the power characteristics of the methods within that study region and in an artificial homogenous setting.

Cluster Analysis↗

Using temporal context to improve biosurveillance.

Current efforts to detect covert bioterrorist attacks from increases in hospital visit rates are plagued by the unpredictable nature of these rates. Although many current systems evaluate hospital visit data 1 day at a time, we investigate evaluating multiple days at once to lessen the effects of this unpredictability and to improve both the timeliness and sensitivity of detection. To test this approach, we introduce simulated disease outbreaks of varying shapes, magnitudes, and durations into 10 years of historical daily visit data from a major tertiary-care metropolitan teaching hospital. We then investigate the effectiveness of using multiday temporal filters for detecting these simulated outbreaks within the noisy environment of the historical visit data. Our results show that compared with the standard 1-day approach, the multiday detection approach significantly increases detection sensitivity and decreases latency while maintaining a high specificity. We conclude that current biosurveillance systems should incorporate a wider temporal context to improve their effectiveness. Furthermore, for increased robustness and performance, hybrid systems should be developed to capitalize on the complementary strengths of different types of temporal filters.

Bioterrorism↗

Variability in surgical caseload and access to intensive care services.

BACKGROUND: Variability in the demand for any service is a significant barrier to efficient distribution of limited resources. In health care, demand is often highly variable and access may be limited when peaks cannot be accommodated in a downsized care delivery system. Intensive care units may frequently present bottlenecks to patient flow, and saturation of these services limits a hospital's responsiveness to new emergencies. METHODS: Over a 1-yr period, information was collected prospectively on all requests for admission to the intensive care unit of a large, urban children's hospital. Data included the nature of each request, as well as each patient's final disposition. The daily variability of requests was then analyzed and related to the unit's ability to accommodate new admissions. RESULTS: Day-to-day demand for intensive care services was extremely variable. This variability was particularly high among patients undergoing scheduled surgical procedures, with variability of scheduled admissions exceeding that of emergencies. Peaks of demand were associated with diversion of patients both within the hospital (to off-service care sites) and to other institutions (ambulance diversions). Although emergency requests for admission outnumbered scheduled requests, diversion from the intensive care unit was better correlated with scheduled caseload (r = 0.542, P < 0.001) than with unscheduled volume (r = 0.255, P < 0.001). During the busiest periods, nearly 70% of all diversions were associated with variability in the scheduled caseload. CONCLUSIONS: Variability in scheduled surgical caseload represents a potentially reducible source of stress on intensive care units in hospitals and throughout the healthcare delivery system generally. When uncontrolled, variability limits access to care and impairs overall responsiveness to emergencies.

Appointments and Schedules↗

Systemic hypotension and white-matter damage in preterm infants.

This study was designed to test the hypothesis that systemic hypotension during the first postnatal week increases the risk of ultrasonographic echolucency in the white matter of preterm infants (< or = 28 weeks' gestation) while adjusting for confounders. From a study base of 1607 very-low-birthweight neonates (500 to 1500 g), a subsample of 243 preterm infants (122 females; < or = 28 weeks' gestation) was selected for echolucency and data collection prospectively for the entire first postnatal week. Data analyses were performed separately for the first 24 hours of life, for the interval from the end of the first 24 hours to the end of the fourth postnatal day, and for days 5, 6, and 7. Systemic hypotension was defined as the mean arterial blood pressure in the lowest quartile for the infant's week of gestational age. Protocol cranial ultrasounds were those obtained closest to days 1, 7, and 21. A committee of sonologists classified the infants as having either echolucency (echolucency group) or not (control group). Systemic hypotension during the first week of life appeared to be associated with echolucency in univariable analyses but the association did not persist after adjustment for potential confounders. Detailed summaries of 13 previous studies, the majority of which did not show an association between systemic hypotension and white-matter damage, are presented. In sum, these results do not support the hypothesis that systemic hypotension contributes to echolucency among preterm infants.

Brain↗

Risk of cranial ultrasound abnormalities in very-low-birth-weight infants conceived with assisted reproductive techniques.

OBJECTIVE: To evaluate risks of cranial ultrasound abnormalities among very-low-birth-weight (VLBW) infants conceived with fertility therapy (ovulation induction only or with assisted reproductive techniques [ART]) and of multiple gestation pregnancies. STUDY DESIGN: The incidences of cranial ultrasound abnormalities in 1473 VLBW infants conceived with and without fertility therapy and born of multiple versus singleton pregnancies were compared, using logistic regression models. RESULTS: Infants conceived with ART were less likely to have intraventricular hemorrhage (IVH). Twins and triplets had risks of cranial ultrasound abnormalities similar to those of singletons. Twins and triplets conceived with ART were at lower risk of IVH. CONCLUSION: VLBW infants conceived with ART do not appear to be at increased risk of cranial ultrasound abnormalities. Likewise, twins and triplets were not at increased risk of these abnormalities.

Brain Damage, Chronic↗

Chorioamnionitis, mechanical ventilation, and postnatal sepsis as modulators of chronic lung disease in preterm infants.

OBJECTIVE: This case-control study of chronic lung disease (CLD) evaluated the hypothesis that chorioamnionitis promotes CLD and interacts with other risk factors for CLD, including mechanical ventilation and postnatal infection. STUDY DESIGN: We identified a population of 193 infants who met our case criteria for CLD whose birth weights were 7 days and culture-documented sepsis. In multivariable analyses, infants were at greatest risk for CLD when they had exposure to both chorioamnionitis and either mechanical ventilation >7 days (odds ratio, 3.2; 95% confidence interval, 0.9-11) or postnatal infection (odds ratio, 2.9; 95% confidence interval, 1.1-7.4). CONCLUSIONS: We conclude that prolonged mechanical ventilation or postnatal infection increases the risk of CLD among surviving preterm infants and that these 2 factors interact with antenatal infection to further increase the risk of CLD.

Case-Control Studies↗

Prognostic value of intratumoral neutrophils in advanced gastric carcinoma in a high-risk area in northern Italy.

Several lines of evidence indicate that neutrophils act nonspecifically against tumor cells. The correlation between tumor-infiltrating neutrophils (TINs) and clinicopathological features remains unclear and deserves to be investigated. To analyze the prognostic influence of TINs in gastric carcinoma, the authors selected 273 patients with advanced gastric carcinoma who underwent gastrectomy at Cremona Hospital (Lombardia, Italy) between 1990 and 1995 and followed them for a period of 5 years. The number of TINs was assessed in a semiquantitative manner using the mean value of 20 nonoverlapping high-power fields (magnification, 400x; 0.08 mm(2)). The patients were divided into two groups: patients with a moderate or extensive amount of TINs (n = 76; >10 TINs per 20 high-power fields) and patients with a minor amount of TINs (n = 197; <or=10 TINs per 20 high-power fields). The Kaplan-Meier method and Greenwood formula were used to estimate the crude survival rates in the two groups. Multivariate analyses based on the Cox proportional hazard regression model were performed to assess the effect of the prognostic factors on survival. Among the potential prognostic factors analyzed by univariate analysis, sex, age, location of neoplasia, pTNM stage, TINs, and surgical curability were significantly associated with higher survival rate. The study of the possible interaction effects of the clinical-pathological factors with TINs reveals that female patients with a moderate or extensive amount of TINs have about a 39% reduction in their risk of mortality, whereas male patients do not seem to be affected by the level of TINs. These results suggest that women appear to have a better prognosis than men in advanced gastric carcinoma. Gender differences in some host defense mechanisms and particularly in neutrophil function may be responsible for this event. Confirmation of these findings would give valuable insights about host reaction to gastric cancer growth and, ultimately, possibly would have implications regarding the identification of low-risk patients who could be spared adjuvant therapy.

Adult↗