Aggressors, victims, and aggressive victims in childhood and adolescence: Stability over time and differential effects of risk factors

Introduction. Treatment of Haemophilus influenzae (Hi) pneumonia is on concern because resistance to amoxicillin is largely diffused. This study describes the evolution of resistance to amoxicillin and amoxicillin/clavulanic acid (AMC) in Hi isolates and characteristics of patients with Hi severe pneumonia. Methods. A monocentric retrospective observational study including patients from 2008 to 2017 with severe pneumonia hospitalized in ICU. Evolution of amoxicillin and AMC susceptibility was showed. Characteristics of patients with Hi pneumonia were compared to characteristics of patients with Streptococcus pneumoniae (Sp) pneumonia, as reference. Risk factors for amoxicillin resistance in Hi were investigated. Results. Overall, 113 patients with Hi and 132 with Sp pneumonia were included. The percentages of AMC resistance among Hi strains decreased over the years (from 10% in 2008-2009 to 0% in 2016-2017) while resistance to amoxicillin remained stable at 20%. Also, percentages of Sp resistant strains for amoxicillin decreased over years (from 25% to 3%). Patients with Hi pneumonia experienced higher prevalence of bronchitis (18% vs. 8%, p=0.02, chronic obstructive pulmonary disease (43% vs. 30% p=0.03), HAP (18% vs. 7%, p=0.01, ventilator-associated pneumonia (27% vs. 17%, p=0.04, and longer duration of mechanical ventilation (8 days vs. 6 days, p=0.04) than patients with Sp pneumonia. Patients with Sp pneumonia had more frequently local complications than patients with Hi pneumonia (17% vs. 7%, p=0.03). De-escalation of antibiotics was more frequent in patients with Sp than in patients with Hi (67% vs. 53%, p=0.03). No risk factors were associated with amoxicillin resistance among patients with Hi pneumonia. Conclusions. Amoxicillin resistance was stable over time, but no risk factors were detected. AMC resistance was extremely low, suggesting that AMC could be used for empiric treatment of Hi pneumonia, as well as other molecules, namely, cephalosporins. Patients with Hi pneumonia had more pulmonary comorbidities and severe diseases than patients with Sp pneumonia.

Download Full-text

Maternal mortality in six low and lower-middle income countries from 2010 to 2018: risk factors and trends

Reproductive Health ◽

10.1186/s12978-020-00990-z ◽

2020 ◽

Vol 17 (S3) ◽

Author(s):

Melissa Bauserman ◽

Vanessa R. Thorsten ◽

Tracy L. Nolen ◽

Jackie Patterson ◽

Adrien Lokangaka ◽

...

Keyword(s):

Risk Factors ◽

Maternal Mortality ◽

Maternal Deaths ◽

Middle Income ◽

Maternal Risk ◽

Live Births ◽

Middle Income Countries ◽

Risk Of Death ◽

Increased Risk ◽

Over Time

Abstract Background Maternal mortality is a public health problem that disproportionately affects low and lower-middle income countries (LMICs). Appropriate data sources are lacking to effectively track maternal mortality and monitor changes in this health indicator over time. Methods We analyzed data from women enrolled in the NICHD Global Network for Women’s and Children’s Health Research Maternal Newborn Health Registry (MNHR) from 2010 through 2018. Women delivering within research sites in the Democratic Republic of Congo, Guatemala, India (Nagpur and Belagavi), Kenya, Pakistan, and Zambia are included. We evaluated maternal and delivery characteristics using log-binomial models and multivariable models to obtain relative risk estimates for mortality. We used running averages to track maternal mortality ratio (MMR, maternal deaths per 100,000 live births) over time. Results We evaluated 571,321 pregnancies and 842 maternal deaths. We observed an MMR of 157 / 100,000 live births (95% CI 147, 167) across all sites, with a range of MMRs from 97 (76, 118) in the Guatemala site to 327 (293, 361) in the Pakistan site. When adjusted for maternal risk factors, risks of maternal mortality were higher with maternal age > 35 (RR 1.43 (1.06, 1.92)), no maternal education (RR 3.40 (2.08, 5.55)), lower education (RR 2.46 (1.54, 3.94)), nulliparity (RR 1.24 (1.01, 1.52)) and parity > 2 (RR 1.48 (1.15, 1.89)). Increased risk of maternal mortality was also associated with occurrence of obstructed labor (RR 1.58 (1.14, 2.19)), severe antepartum hemorrhage (RR 2.59 (1.83, 3.66)) and hypertensive disorders (RR 6.87 (5.05, 9.34)). Before and after adjusting for other characteristics, physician attendance at delivery, delivery in hospital and Caesarean delivery were associated with increased risk. We observed variable changes over time in the MMR within sites. Conclusions The MNHR is a useful tool for tracking MMRs in these LMICs. We identified maternal and delivery characteristics associated with increased risk of death, some might be confounded by indication. Despite declines in MMR in some sites, all sites had an MMR higher than the Sustainable Development Goals target of below 70 per 100,000 live births by 2030. Trial registration The MNHR is registered at NCT01073475.

Download Full-text

Comparison of Mean Platelet Counts in Preterm Infants with and without Retinopathy of Prematurity

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18073783 ◽

2021 ◽

Vol 18 (7) ◽

pp. 3783

Author(s):

Zi Di Lim ◽

Edwin Pheng ◽

Evelyn Tai Li Min ◽

Hans Van Rostenberghe ◽

Ismail Shatriah

Keyword(s):

Risk Factors ◽

Retinopathy Of Prematurity ◽

Primary Source ◽

Analysis Of Covariance ◽

Repeated Measure ◽

Platelet Counts ◽

Related Risk ◽

Measure Analysis ◽

Repeated Measure Analysis ◽

Over Time

Platelets are a primary source of pro- and anti-angiogenic cytokines. However, the evidence of their role in retinopathy of prematurity (ROP) is controversial. This retrospective study aimed to compare mean weekly platelet counts between infants with and without ROP over the first 6 weeks of life. A total of 93 infants matched by gestational age and birth weight were recruited (31 with ROP, 62 without ROP). Weekly mean platelet counts and other related risk factors were documented. The repeated measure analysis of variance (ANOVA) and the repeated measure analysis of covariance (ANCOVA) were used to compare mean platelet counts over time between the two groups, with and without adjusting for confounders. We found significant differences in the weekly mean platelet counts of infants with and without ROP over the first 6 weeks of life (p = 0.002). These differences disappeared after adjusting for covariates (p = 0.489). Lower mean platelet counts in ROP infants are not directly related to ROP, but rather to the presence of other risk factors for ROP, such as culture-proven sepsis, blood transfusion and bronchopulmonary dysplasia.

Download Full-text

Factors Distinguishing Reciprocal Versus Nonreciprocal Intimate Partner Violence Across Time and Reporter

Journal of Interpersonal Violence ◽

10.1177/08862605211001475 ◽

2021 ◽

pp. 088626052110014

Author(s):

Doris F. Pu ◽

Christina M. Rodriguez ◽

Marina D. Dimperio

Keyword(s):

Risk Factors ◽

Intimate Partner Violence ◽

Partner Violence ◽

Transition To Parenthood ◽

Intimate Partner ◽

Self Report ◽

Cross Sectional ◽

Couple Functioning ◽

Female Perpetrators ◽

Over Time

Although intimate partner violence (IPV) is often conceptualized as occurring unilaterally, reciprocal or bidirectional violence is actually the most prevalent form of IPV. The current study assessed physical IPV experiences in couples and evaluated risk and protective factors that may be differentially associated with reciprocal and nonreciprocal IPV concurrently and over time. As part of a multi-wave longitudinal study, women and men reported on the frequency of their IPV perpetration and victimization three times across the transition to parenthood. Participants also reported on risk factors related to personal adjustment, psychosocial resources, attitudes toward gender role egalitarianism, and sociodemographic characteristics at each wave. Participants were classified into one of four IPV groups (reciprocal violence, male perpetrators only, female perpetrators only, and no violence) based on their self-report and based on a combined report, which incorporated both partners’ reports of IPV for a maximum estimate of violence. Women and men were analyzed separately, as both can be perpetrators and/or victims of IPV. Cross-sectional analyses using self-reported IPV data indicated that IPV groups were most consistently distinguished by their levels of couple satisfaction, across gender; psychological distress also appeared to differentiate IPV groups, although somewhat less consistently. When combined reports of IPV were used, sociodemographic risk markers (i.e., age, income, and education) in addition to couple functioning were among the most robust factors differentiating IPV groups concurrently, across gender. In longitudinal analyses, sociodemographic vulnerabilities were again among the most consistent factors differentiating subsequent IPV groups over time. Several gender differences were also found, suggesting that different risk factors (e.g., women’s social support and men’s emotion regulation abilities) may need to be targeted in interventions to identify, prevent, and treat IPV among women and men.

Download Full-text

The Impact of Intervention-Related Risk Factors on the Risk of Ventilator-Associated Pneumonia Is High in a Neurosurgical Intensive Care Unit

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.1059 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s407-s409

Author(s):

Ksenia Ershova ◽

Oleg Khomenko ◽

Olga Ershova ◽

Ivan Savin ◽

Natalia Kurdumova ◽

...

Keyword(s):

Risk Factors ◽

Mechanical Ventilation ◽

Negative Slope ◽

Infection Prevention And Control ◽

Ventilator Associated Pneumonia ◽

Related Factors ◽

Icu Patients ◽

The Impact ◽

Adf Test ◽

Over Time

Background: Ventilator-associated pneumonia (VAP) represents the highest burden among all healthcare-associated infections (HAIs), with a particularly high rate in patients in neurosurgical ICUs. Numerous VAP risk factors have been identified to provide a basis for preventive measures. However, the impact of individual factors on the risk of VAP is unclear. The goal of this study was to evaluate the dynamics of various VAP risk factors given the continuously declining prevalence of VAP in our neurosurgical ICU. Methods: This prospective cohort unit-based study included neurosurgical patients who stayed in the ICU >48 consecutive hours in 2011 through 2018. The infection prevention and control (IPC) program was implemented in 2010 and underwent changes to adopt best practices over time. We used a 2008 CDC definition for VAP. The dynamics of VAP risk factors was considered a time series and was checked for stationarity using theAugmented Dickey-Fuller test (ADF) test. The data were censored when a risk factor was present during and after VAP episodes. Results: In total, 2,957 ICU patients were included in the study, 476 of whom had VAP. Average annual prevalence of VAP decreased from 15.8 per 100 ICU patients in 2011 to 9.5 per 100 ICU patients in 2018 (Welch t test P value = 7.7e-16). The fitted linear model showed negative slope (Fig. 1). During a study period we observed substantial changes in some risk factors and no changes in others. Namely, we detected a decrease in the use of anxiolytics and antibiotics, decreased days on mechanical ventilation, and a lower rate of intestinal dysfunction, all of which were nonstationary processes with a declining trend (ADF testP > .05) (Fig. 2). However, there were no changes over time in such factors as average age, comorbidity index, level of consciousness, gender, and proportion of patients with brain trauma (Fig. 2). Conclusions: Our evidence-based IPC program was effective in lowering the prevalence of VAP and demonstrated which individual measures contributed to this improvement. By following the dynamics of known VAP risk factors over time, we found that their association with declining VAP prevalence varies significantly. Intervention-related factors (ie, use of antibiotics, anxiolytics and mechanical ventilation, and a rate of intestinal dysfunction) demonstrated significant reduction, and patient-related factors (ie, age, sex, comorbidity, etc) remained unchanged. Thus, according to the discriminative model, the intervention-related factors contributed more to the overall risk of VAP than did patient-related factors, and their reduction was associated with a decrease in VAP prevalence in our neurosurgical ICU.Funding: NoneDisclosures: None

Download Full-text

Diverging trends in US male-female condom use by STI risk factors: a nationally representative study

Sexually Transmitted Infections ◽

10.1136/sextrans-2020-054642 ◽

2020 ◽

pp. sextrans-2020-054642

Author(s):

Casey E Copen ◽

Patricia J Dittus ◽

Jami S Leichliter ◽

Sagar Kumar ◽

Sevgi O Aral

Keyword(s):

Risk Factors ◽

Condom Use ◽

Illicit Drugs ◽

Female Condom ◽

Cross Sectional ◽

The Past ◽

Representative Study ◽

The Usa ◽

Over Time ◽

Sex Partner

ObjectiveCondom use behaviours are proximal to recent STI increases in the USA, yet it remains unclear whether the use of condoms has changed over time among unmarried, non-cohabiting young men who have sex with women (MSW) and how this variability is influenced by STI risk factors.MethodsTo examine condom use over time among MSW aged 15–29, we used three cross-sectional surveys from the 2002, 2006–2010 and 2011–2017 National Survey of Family Growth. We estimated weighted percentages, adjusted prevalence ratios (APRs) and 95% confidence intervals (CI) to assess changes in condom use, stratified by whether MSW reported any STI risk factors in the past 12 months (ie, perceived partner non-monogamy, male-to-male sex, sex in exchange for money or drugs, sex partner who injects illicit drugs, or an HIV-positive sex partner).ResultsWe observed a divergence in trends in condom use at last sex between men aged 15 –29 with STI risk factors in the past 12 months and those without such history. We saw significant declines in condom use from 2002 to 2011–2017 among men with STI risk factors (APR=0.80, 95% CI 0.68 to 0.95), specifically among those aged 15–19 (APR=0.73, 95% CI 0.57 to 0.94) or non-Hispanic white (APR=0.71, 95% CI 0.54 to 0.93). In contrast, trends in condom use among men with no STI factors remained stable or increased. Across all time periods, the most prevalent STI risk factor reported was perception of a non-monogamous female partner (23.0%–26.9%). Post-hoc analyses examined whether condom use trends changed once this variable was removed from analyses, but no different patterns were observed.ConclusionsWhile STIs have been increasing, men aged 15–29 with STI risk factors reported a decline in condom use. Rising STI rates may be sensitive to behavioural shifts in condom use among young MSW with STI risk factors.

Download Full-text

Contrasting Monetary and Multidimensional Poverty Measures in a Low-Income Sub-Saharan African Country

Social Indicators Research ◽

10.1007/s11205-020-02382-z ◽

2020 ◽

Vol 151 (2) ◽

pp. 547-574 ◽

Cited By ~ 1

Author(s):

Lukas Salecker ◽

Anar K. Ahmadov ◽

Leyla Karimli

Keyword(s):

Risk Factors ◽

Low Income ◽

Multidimensional Poverty ◽

Poverty Measurement ◽

Sub Saharan Africa ◽

Analytical Strategy ◽

Poverty Risk ◽

Two Measures ◽

Sub Saharan ◽

Over Time

AbstractDespite significant progress in poverty measurement, few studies have undertaken an in-depth comparison of monetary and multidimensional measures in the context of low-income countries and fewer still in Sub-Saharan Africa. Yet the differences can be particularly consequential in these settings. We address this gap by applying a distinct analytical strategy to the case of Rwanda. Using data from two waves of the Rwandan Integrated Household Living Conditions Survey, we combine comparing poverty rates cross-sectionally and over time, examining the overlaps and differences in the two measures, investigating poverty rates within population sub-groups, and estimating several statistical models to assess the differences between the two measures in identifying poverty risk factors. We find that using a monetary measure alone does not capture high incidence of multidimensional poverty in both waves, that it is possible to be multidimensional poor without being monetary poor, and that using a monetary measure alone overlooks significant change in multidimensional poverty over time. The two measures also differ in which poverty risk factors they put emphasis on. Relying only on monetary measures in low-income sub-Saharan Africa can send inaccurate signals to policymakers regarding the optimal design of social policies as well as monitoring their effectiveness.

Download Full-text