Trend in infant mortality rate caused by sepsis in Brazil from 2009 to 2018

ABSTRACT

Sepsis is the organ dysfunction resulting from an infection associated with an unregulated host inflammatory response, which generates high mortality rates in Brazil. The aim of this stydy was to analyze the trend of early, late and post-neonatal mortality rates due to sepsis in Brazilian regions, from 2009 to 2018. This is an ecological study of time series. The trend of infant mortality from sepsis was analyzed using the International Classification of Diseases (ICD10) according to the place of residence (North, Northeast, Southeast, South and Midwest). Death Certificate data were collected from the Mortality Information System database. The temporal trend was analyzed using the Prais-Winsten estimate, interpreted as increasing, decreasing or stable, through the dependent variable (logarithm of mortality rates) and interdependent variables (years of the historical series). The Stata 14.0 statistical software was used. There were 39,867 infant deaths due to sepsis (78.67% for unspecified bacterial sepsis of the neonate ). Most of the children were male, had mixed ethnicity (black and white) , were born preterm with low birth weight and most mothers were 20-34 years old. There were decreasing trends in mortality rates from 2009 to 2018: early neonatal, in the Southeast (-3.57%), North (-3.33%) and South (-2.91%); late neonatal, in the South (-4.12%), Southeast (-4.53%), North (-4.55%) and Midwest (-6.21%); and post-neonatal, in the Northeast (-1.84%), North (-3.62%), Southeast (-3.83%) and Midwest (-5.81%). The Northeast showed a stable trend in early and late neonatal mortality rates. It was concluded that most regions showed a decreasing trend in mortality rates from sepsis in all age components, despite regional differences.

Infant mortality; Time series studies; Sepsis

INTRODUCTION

Sepsis is considered a serious health problem worldwide and one of the ten to causes of deaths¹-³. Despite the fact that it occurs in any age group, children represent an extremely fragile group in the face of this syndrome², especially in developing countries that are composed of a huge number of inhabitants³. This vulnerability can be observed by means of a sensitive indicator called the infant mortality coefficient, which takes into account the number of deaths of children under one year old for every thousand live births (LBs). Through this coefficient, it is possible to accurately assess in a given time and geographic space, socioeconomic and health care development characteristics⁴. The high susceptibility of children to sepsis has been attributed to their immature immune system⁵ leading newborns to present with a hyperinflammatory immune response⁶.

A systematic review, aiming to estimate the global burden and mortality from sepsis in neonates and children, observed that mortality ranged from 1% to 5% for sepsis and 9% to 20% for severe sepsis. Between the years 2016 and 2019, this syndrome was responsible for the death of 69.35% of neonates worldwide⁷. In Brazil, among the ten main causes of death in the country in 2015, bacterial infections in newborns ranked fourth, with a rate of 1.69 per thousand live births⁸.

Neonatal sepsis generates enormous expenses for the health system due to long-term hospitalizations (mainly in intensive care units - ICUs), highly complex and invasive procedures, and the great need for broad-spectrum antibiotics. In addition, due to the fact that neonates are morefragile , they have a greater chance of progressing to death⁴.

Time trend analysis are widely used strategies for disease surveillance and control actions. Knowing the temporal trend of sepsis in Brazil is essential for planning and implementing prevention and control actions⁹ and there are few studies with this temporal design addressing infant mortality from sepsis and all its components.

Knowing this scenario, it is possible to assist in the elaboration of public policies that lead to effective changes in the regional and national epidemiological scenario. Thus, considering the importance of the theme and the scarcity of studies focusing on this population group, this study aimed to analyze the trend in early neonatal, late neonatal and post-neonatal mortality from sepsis, in the five Brazilian regions, from 2009 to 2018.

MATERIALS AND METHODS

This is an ecological time series study, in which the trend in infant mortality rates from sepsis as a basic cause was analyzed, according to the place of residence (North, Northeast, Southeast, South and Midwest), in the period from 2009 to 2018.

Data collection was carried out through the official information systems of the Department of Informatics from the Unified Health System (DATASUS) of the Ministry of Health. Death Certificates (DC) contained in the database of the Mortality Information System were consulted. (SIM) and the declaration of live births (DNV) in the Live Birth Information System (SINASC) were used as collection instruments.

According to the Instruction Manual for Completing the Death Certificate¹⁰, the basic cause can be conceptualized as “the disease or injury that started the chain of pathological events that led directly to death, or the circumstances of the accident or violence that produced the fatal injury” . Mortality statistics are produced from the basic cause declared by the medical doctor responsible for filling out the Death Certificate¹⁰.

The Death Certificate is the basic document of the SIM, printed in three pre-numbered and carbonless copies. It must be completed for all deaths (fetal and non-fetal), whether they occurred in health units, homes or other places. Its main objectives are to be the standard document for collecting data on mortality, which are used in the vital and epidemiological statistics of the country and also to be the skillful document for issuing the Death Certificate, drawn up by the Civil Registry Offices. Thus, in addition to their legal function, these data on deaths enable them to be used to understand the population’s health situation and to promote actions for its improvement, therefore, data must be reliable¹⁰,¹¹.

The International Classification of Diseases - ICD-10 was used to identify the following cases of sepsis: A02.1 (Salmonella septicemia), A40.0 (group A Streptococcus septicemia), A40.1 (group Streptococcus septicemia) B), A40.3 (Septicemia by Streptococcus pneumonia), A40.9 (Streptococcal septicemia, unspecified), A41.0 (Septicemia by Staphylococcusaureus), A41.1 (Septicemia by other specified staphylococci), A41.2 (Septicemia by unspecified staphylococci), A41.3 (Septicemia by Haemophilusinfluenzae), A41.5 (Septicemia by other gram-negative microorganisms), A41.8 (Other specified septicemia), A41.9 (Unspecified septicemia), A42.7 (Actinomycotic septicemia), B37.7 (Candida septicemia), P36.0 (Newborn septicemia due to group B streptococcus), P36.1 (Newborn septicemia due to other and unspecified streptococci), P36 .2 (Septicemia of the newborn due to Staphylococcusaureus), P36.3 (Newborn septicemia due to other and unspecified staphylococci), P36.4 (Septicemia of the newborn due to Escherichiacoli), P36.5 (Septicemia of the newborn due to anaerobes), P36.8 (Other septicemias bacterial infections of the newborn), P36.9 (unspecified bacterial septicemia of the newborn).

The aspects defined in 2005 by the International Pediatric Sepsis Consensus Conference (IPSCC), initially established the Systemic Inflammatory Response Syndrome (SIRS) as the presence of at least two of the following criteria, one of which must be changes in temperature or number of leukocytes, concomitant with the presence of a confirmed or suspected infectious condition. These criteria are: hyperthermia (> 38.5 °C) or hypothermia (< 36 °C); tachycardia; tachypnea; and leukocytosis or leukopenia not secondary to chemotherapy, or the presence of young forms of neutrophils in peripheral blood¹².

Children were characterized according to maternal age (up to 19, from 20 to 34 or 35 years old or more), gender (male or female), ethnicity/skin color of the child (white, black, mixed black and white, yellow or indigenous), gestational age (preterm, term or post-term) and birth weight (low weight - when less than 2,500 g or not underweight - equal to or greater than 2,500 g).

Early neonatal mortality rates (up to six full days of life), late neonatal mortality (from seven to 27 full days of life) and post-neonatal mortality (from 28 to 364 full days of life) were calculated using the number of deaths as the numerator and in the denominator, the total number of live births in the population living in a given geographic space, in the year considered, multiplied by a thousand¹³. Children with ignored age of death were excluded.

The temporal trend was analyzed using the Prais-Winsten regression model, the independent variable being the years of the historical series and the dependent variables being the logarithm of mortality rates. This method makes it possible to analyze whether the trends of the object of study will be increasing, decreasing or stationary/stable, in addition to quantifying the rates of annual variations. As it is a regression model in the presence of autocorrelation of errors, without the need to readjust the analyzed models, trend estimates tend to be more significant¹⁴. Thus, it was possible to assess the trend (increasing, decreasing or stable), as well as measuring the percentage of change in each time series. The trend was considered stable when the regression coefficient did not differ from zero (p > 0.05).

The analyzes were performed using the statistical software Stata (version 14.0, StataCorp, College Station, Texas, USA) and the results were presented through graphs and tables.

Only secondary and aggregated data of public domain and free access were used. Thus, the study was exempted from appreciation by the Research Ethics Committee, according to the National Health Council resolution Nº 466, of December 12^th, 2012.

RESULTS

In Brazil, 384,687 infant deaths were reported in the SIM. Of these, 39,867 (10.4%) were due to sepsis. The rates of early neonatal mortality from sepsis, late neonatal and post-neonatal showed, respectively, that the children were mostly male (58.1%, 54.5% and 53.7%), of mixed ethnicity / skin color (56%; 51.3% and 50.6%), born preterm (80.5%, 82.6% and 69.0%) with low birth weight (73.4%, 76.1% and 54.4%). Regarding the age group, most mothers were between 20 and 34 years old (62.9%, 62.5% and 63.2%) (Table 1).

Table1
Maternal and neonatal characteristics according to age components in the five Brazilian regions, from 2009 to 2018.

Variables	Mortality rate						Total
	Early neonatal		Late neonatal		Post-neonatal
	N	%	N	%	N	%
Maternalage*
< 20	3,409	24.5	2,876	23.7	1,922	22.2	8,207
20 to 34	8,763	62.9	7,584	62.5	5,466	63.2	21,813
35 +	1,767	12.7	1,670	13.8	1,263	14.6	4,700
Total	13,939	100.0	12,130	100.0	8,651	100.0	34,720
Gender*
Male	9,112	58.1	7,391	54.5	5,666	53.7	22,169
Female	6,560	41.9	6,175	45.5	4,880	46.3	17,615
Total	15,672	100.0	13,566	100.0	10,546	100.0	39,784
Skincolor/ethnicity*
White	5,660	40.9	5,465	45.4	4,230	44.7	15,355
Black	294	2.1	281	2.3	267	2.8	842
Yellow	18	0.1	16	0.1	20	0.2	54
Mixed (black and white)	7,747	56.0	6,174	51.3	4,790	50.6	18,711
Indigenous	126	0.9	96	0.8	164	1.7	386
Total	13,845	100.0	12,032	100.0	9,471	100.0	35,348
Gestationalage*
Pre-term	11,113	80.5	9,933	82.6	5,552	69.0	26,598
Term	2,630	19.1	2,051	17.0	2,395	29.7	7,076
Post-term	54	0.4	47	0.4	103	1.3	204
Total	13,797	100.0	12,031	100.0	8,050	100.0	33,878
Birthweight*
Low weight	11,524	73.4	10,344	76.1	5,738	54.4	27,596
Not low weight	4,181	26.6	3,246	23.9	4,811	45.6	12,238
Total	15,705	100.0	13,580	100.0	10,549	100.0	39,834

• *Ignored values due to lack of data filling

According to ICD-10, unspecified bacterial septicemia of the newborn (78.67%) was the most representative cause of death, followed by unspecified septicemia (16.34%), as shown inTable 2.

Table2
Causes of death and microorganisms identified according to ICD-10 in the five Brazilian regions, from 2009 to 2018.

ICD-10	Basic cause	N	%
A021	Salmonella septicemia	3	0.01
A400	Group A Streptococcus septicemia	1	0.00
A401	Group B Streptococcus septicemia	2	0.01
A403	Septicemia by Streptococcus pneumonia	9	0.02
A409	Streptococcal septicemia. unspecified	15	0.04
A410	Staphylococcusaureus septicemia	12	0.03
A411	Septicemia by other specified staphylococci	15	0.04
A412	Unspecified staphylococcal septicemia	52	0.13
A413	Haemophilusinfluenzae septicemia	4	0.01
A415	Septicemia by other gram-negative microorganisms	35	0.09
A418	Other specified septicemias	138	0.35
A419	Unspecified septicemia	6,514	16.34
A427	Actinomycotic septicemia	5	0.01
B377	Candida Septicemia	83	0.21
P360	Newborn septicemia due to group B streptococcus	146	0.37
P361	Newborn septicemia due to other and unspecified streptococci	513	1.29
P362	Septicemia of the newborn due to Staphylococcusaureus	48	0.12
P363	Newborn septicemia due to other and unspecified staphylococci	115	0.29
P364	Septicemia of the newborn due to Escherichiacoli	26	0.07
P365	Newborn septicemia due to anaerobes	40	0.10
P368	Other bacterial septicemias of the newborn	729	1.83
P369	Unspecified bacterial septicemia of the newborn	31,360	78.67
Total		39,867	100.00

From 2009 to 2018, the infant mortality rate from sepsis in all age components was higher in the North region. It was also observed that the lowest infant mortality rates due to sepsis occurred in the South (Table 3).

Table3
Infant mortality rates due to sepsis according to age components in the five Brazilian regions, from 2009 to 2018.

Brazilian regions	Early neonatal mortality
	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018
North	1.02	0.82	0.77	0.77	0.73	0.64	0.75	0.65	0.70	0.70
Northeast	0.72	0.61	0.59	0.67	0.67	0.64	0.69	0.57	0.59	0.53
Southeast	0.62	0.58	0.59	0.49	0.45	0.50	0.46	0.53	0.46	0.41
South	0.35	0.29	0.35	0.36	0.30	0.30	0.31	0.25	0.29	0.26
Midwest	0.54	0.38	0.47	0.38	0.59	0.44	0.50	0.49	0.42	0.48
	Late neonatal mortality
North	0.78	0.65	0.60	0.55	0.59	0.60	0.48	0.51	0.50	0.47
Northeast	0.60	0.47	0.53	0.56	0.55	0.50	0.51	0.55	0.52	0.41
Southeast	0.61	0.52	0.53	0.49	0.45	0.39	0.41	0.40	0.43	0.38
South	0.35	0.32	0.33	0.32	0.34	0.30	0.29	0.26	0.22	0.25
Midwest	0.51	0.47	0.54	0.46	0.41	0.40	0.43	0.35	0.31	0.28
	Post-neonatal mortality
North	0.56	0.60	0.63	0.56	0.61	0.55	0.42	0.55	0.47	0.42
Northeast	0.48	0.43	0.47	0.47	0.45	0.41	0.41	0.49	0.39	0.37
Southeast	0.42	0.37	0.35	0.34	0.36	0.29	0.31	0.28	0.29	0.30
South	0.20	0.20	0.25	0.24	0.23	0.22	0.18	0.14	0.16	0.14
Midwest	0.33	0.36	0.32	0.31	0.28	0.24	0.28	0.22	0.20	0.26

Analyzing the trend of early neonatal mortality rates due to sepsis in the period from 2009 to 2018, it was observed that these parameters were decreasing in the Southeast, North and South regions. As for the trend of late neonatal mortality from sepsis, it was noted that they were decreasing in the South, Southeast, North and Midwest regions. The Northeast region showed a steady trend in early and late neonatal age components (Figure 1 andTable 4).

Figure1
Temporal distribution of early neonatal, late neonatal and post-neonatal mortality rates from sepsis in Brazilian regions, 2019-2018.

Table4
Trend in infant mortality from sepsis according to age components in the five Brazilian regions, from 2009 to 2018.

Brazilian regions	Early neonatal mortality
	Coefficient	P-value*	Rate of change (%)	Trend**	Coefficient
North	-0.0147	0.008	-3.33	-5.48 : -1.12	Descending
Northeast	-0.0085	0.074	-	-	Stable
Southeast	-0.0158	0.004	-3.57	-5.57 : -1.53	Descending
South	-0.0128	0.005	-2.91	-4.60 : -1.20	Descending
Midwest	0.0024	0.554	-	-	Stable
	Late neonatal mortality
North	-0.0202	< 0.001	-4.55	-6.14 : -2.93	Descending
Northeast	-0.0061	0.139	-	-	Stable
Southeast	-0.0201	0.001	-4.53	-6.47 : -2.55	Descending
South	-0.0183	0.002	-4.12	-6.20 : -2.00	Descending
Midwest	-0.0279	< 0.001	-6.21	-8.25 : -4.13	Descending
	Post-neonatal mortality
North	-0.0160	0.004	-3.62	-5.63 : -1.52	Descending
Northeast	-0.0080	0.030	-1.84	-3.43 : -0.22	Descending
Southeast	-0.0170	< 0.001	-3.83	-5.11 : -2.54	Descending
South	-0.0207	0.070	-	-	Stable
Midwest	-0.0260	< 0.001	-5.81	-7.22 : -4.37	Descending

• *Significantly different from zero (p < 0.05); **Trends were classified as increasing (p ≤ 0.05 and positive regression coefficient), decreasing (p ≤ 0.05 and negative regression coefficient) and stable (p > 0.05).

In the post-neonatal age component, with the exception of the South region, which showed a stable trend, all other regions showed a decreasing trend in infant mortality from sepsis (Figure 1 and Table 4).

DISCUSSION

The results of this study showed that the infant mortality rate due to sepsis was higher in the North, compared to other regions in Brazil. With the exception of the Northeast region, which showed a stable trend in early and late neonatal mortality from sepsis, the Midwest regarding the early neonatal age component and the South with respect to the post-neonatal age component, all other regions showed a decreasing trend. Despite the fact that this reduction and stability are positive points, the high number of deaths resulting from this syndrome in children is a warning that measures must be taken.

It was also found that sepsis represented 10.4% of the causes of death in children, a percentage similar to that found in the literature. In 2017, there was a worldwide estimate of 2.9 million (95% UI 2.6-3.2) of sepsis-related deaths among children under five years of age¹⁵. Conducted in 2015, in 26countries, the SPROUT study (Sepsis Prevalence, Outcomes, and Therapies), covering 6,925children hospitalized in 128 pediatric intensive care units (PICU), found a prevalence of severe sepsis of 8.2%, with a wide variation among continents: 6.2% in Europe, 16.3% in South America and 23.1% in Africa (p < 0.001)¹⁶,¹⁷. The collaborative EUCLIDS (European Childhood Life-threatening Infectious Disease Study), a prospective, multicenter, large-scale cohort, included 795 children hospitalized with community sepsis in 52 PICUs in seven European countries, finding a mortality rate of 6%, reaching 10% in the presence of septic shock¹⁸.

Regarding the trend, the study developed by Mangiaet al.¹⁹ on hospitalizations of children and adolescents due to bacterial sepsis, based on records from the SUS Hospital Information System, from 1992 to 2006, also showed that the mortality rate among children under one year of age decreased from 24.82% to 21.92% (p = 0.023) in 14 years. This decrease, as well as that found in this study, can be explained in part by the implementation of the Millennium Development Goals (MDGs), in which several countries, including Brazil, have pledged to reduce child mortality since 1990²⁰,²¹.

Mangia etal.¹⁹ also observed that mortality rates in children under one year of age differed among Brazilian regions. Taking into account the Child Development Index (CDI) and the Human Development Index (HDI) by region, mortality rates in the North (IDI = 0.56; HDI = 0.76) was 25.5%, in the Northeast (IDI = 0.56; HDI = 0.72) 30.2% and in the Midwest (IDI = 0.70; HDI = 0.81) 27.1%. These were almost three times higher than in the South (IDI = 0.73; HDI=0.83) with a mortality rate of 10.7%. Thus, these lower rates in the South may be the result of the beneficial influence of the high socioeconomic level, which reflects in better health conditions for the population of this region, compared to others.

The improvement in indicators of severe pediatric sepsis and septic shock can be attributed to several factors such as the implementation worldwide of guidelines for coping with sepsis, such as the Surviving Sepsis Campaign, launched in 2004 and revised in 2008, 2012 and 2017; advances in public health actions (universal and free access to immunization, programs to combat malnutrition, prevent infectious diseases and encourage the rational use of antimicrobials) and improvements in hospital and PICU care²²-²⁵.

Thus, despite the regional socioeconomic differences that can have a decisive impact, when comparing, for example, the North and South regions of the country, the decrease in sepsis mortality rates in Brazil could be explained by the reasons mentioned above, in addition to policies, programs and strategies such as the promotion and encouragement of breastfeeding, Integrated Care for Childhood Illnesses, the strengthening of Primary Health Care, especially the expansion of the Family Health Strategy.

Regarding microorganisms, the rate of detection of pathogens found in other studies ranged from 30 to 65%¹⁷,¹⁸,²⁶,²⁷. Weiss etal.¹⁷ observed that 65.4% of patients had an isolated infectious organism. Of these, they showed a similar distribution between infections by Gram-positive bacteria (26.5%; 95% CI 22.9-30.3%) and Gram-negative (27.9%; 95% CI, 24.2-31.8 %) (Staphylococcusaureus being the most commonly isolated), and among fungi, mainly Candida species, were isolated in 13.4% of cases. Boeddha etal.¹⁸ observed that, of the 795 patients admitted with sepsis, 367 (46%) had no confirmed bacterial etiology. Of the confirmed cases, Neisseriameningitidis was the most common pathogen (31%), followed by Streptococcuspneumoniae (n = 18%).

However, the present study found that 16.34% had unspecified septicemia and 78.67% unspecified bacterial septicemia of the newborn, which represents a high proportion of unspecified pathogens. Studies carried out in Jundiai, Sao Paulo State²⁸ and Rio de Janeiro city, Rio de Janeiro State²⁹ also did not identify the main infectious agent of deaths from sepsis, since in most ICDs, the infectious agent was not specified, totaling 58.7% and 95.1%, respectively, of DOs classified as “Unspecified septicemia”. For Elizeuetal.²⁸, this could be justified by the fact that there is no requirement for the identification of the infectious agent in the definition of sepsis prior to the year 2016, according to the Latin American Sepsis Institute³⁰, therefore applicable to this study, since the greater part of the historical series studied is concentrated in years prior to the current definition.

Results similar to those presented here were described by Liang etal.³¹. The researchers assessed clinical risk factors for mortality in infants under 12 months of age hospitalized for sepsis or serious infections, and it was observed that among neonates the rates were very high, ranging from 14.6 to 36. 0% of patients, with prematurity and low birth weight being significantly associated with mortality.

In general, the main risk factors that are related to neonatal sepsis are: NICU (Neonatal Intensive Care Unit) hospitalization, due to the use of invasive procedures and possible contamination in the hospital environment; birth, gestational age and maternal conditions³². Among the factors that lead to the development of late sepsis, the following stand out: the use of catheters, venous punctures, mechanical ventilation, surgical interventions, inadequate hospital environment and inadequate hygiene of health professionals³³. And for early sepsis the factors are, among others: chorioamnionitis, maternal colonization by group B hemolytic beta streptococcus, premature rupture (<37 weeks) and/ or prolonged rupture of membranes (> 18 h), maternal urinary tract infection³⁴.

Children who are in the context mentioned above have a more vulnerable immune system³⁵, which favors the entry, establishment and proliferation of pathogenic microorganisms that can lead the individual to sepsis very quickly and intensely. For this reason, it is vitally important that early diagnosis and treatment are performed, in order to reduce the mortality rates from sepsis. This fact was confirmed by Alves etal.⁴, who showed the essential role of performing prenatal care as a way to prevent the onset or aggravation of possible diseases that affect the mother and the fetus during pregnancy.

This research presented limitations due to the use of secondary data available in the public domain, in addition to the possibility of underreported data, suggesting that mortality rates may be higher than those hereby presented, because despite the annual increase in coverage, SIM faces obstacles to improve the quality of its data, mainly due to insufficient completion of the Death Certificate (DC)¹⁰ and of the correct cause of death in terms of sequence. When sepsis is confirmed as the basic cause of death, the diagnosis and its specificity are lost, conditioning the loss of information to its origin. One of the main reasons for a large number of unspecified causes of death may be the filling of the chain of events on the Death Certificate. Therefore, actions taken to reduce these problems include investigating the conditions related to deaths in health facilities and training doctors on how to correctly complete the DC³⁶.

However, the Mortality Information System (MIS) is an official system with consistent information used extensively in scientific research that generates important information to assist in the development of public policies that lead to effective changes in the epidemiological scenario at the regional level and even at the national one .

Most regions showed a decreasing trend in mortality from sepsis in all age components. However, they still have a high number of deaths, which indicates that preventive measures and alternative forms of treatment should be sought to reduce them. In addition, it is worth mentioning that the dissemination of this theme can provide new studies in order to promote the quality of patients’ life, increase in the survival rate which would lead to a shorter hospital stay and the consequent reduction in public hospital spending, a great contribution to improving the health of the population.

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Publication Dates

• Publication in this collection
  12 Apr 2021
• Date of issue
  2021

History

• Received
  19 Nov 2020
• Accepted
  11 Mar 2021