Baseline characteristics found in multivariable Cox proportional hazard regression to be associated with longer recovery time in 7–120 day old infants with probable serious bacterial infection.

<p>CRP- C reactive protein</p><p>*Hazard ratio <1 indicates slower recovery.</p><p>Baseline characteristics found in multivariable Cox proportional hazard regression to be associated with longer recovery time in 7–120 day old infants with probable serious bacterial infection.</p

Correlation between baseline CRP level and time to recovery (in hours).

<p>Several studies in the past have used cutoffs in the range of CRP concentrations of 40 mg/L to differentiate between bacterial and non-bacterial or viral infections. [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124594#pone.0124594.ref011" target="_blank">11</a>,<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124594#pone.0124594.ref012" target="_blank">12</a>]. We therefore also performed an additional analysis where we dichotomized serum CRP concentration with a cut-off of 40 mg/L. In this analysis we found that predictors for time to recovery from PSBI remained the same and infants with CRP ≥ 40 mg/L were found to have on an average 33% longer time to recovery than those with values below that.</p

Baseline clinical, anthropometric and laboratory details of 7–120 day old infants with probable serious bacterial infection.

<p>Data are mean (± SD), median (IQR) and n (%).</p><p>^aAxillary temperature >37.5°C</p><p>^b ≥60 breaths per min for infants <2 months; ≥50 breaths per min for infants ≥2 months.</p><p>^c Normal values of CRP in this age group is upto 10 mg/L and for PCT is 0.6 ng/mL</p><p>TLC- Total leucocyte count, CRP- C-reactive protein, PCT-Procalcitonin, SD- Standard deviation</p><p>Baseline clinical, anthropometric and laboratory details of 7–120 day old infants with probable serious bacterial infection.</p

Multivariable logistic regression analysis for risk factors for NDDs^#.

<p>Multivariable logistic regression analysis for risk factors for NDDs<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1002615#t005fn001" target="_blank">^#</a>.</p

Background characteristics of study participants.

<p>Background characteristics of study participants.</p

Prevalence estimates of NDDs for the five study districts according to age categories^*.

<p>Prevalence estimates of NDDs for the five study districts according to age categories^{<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1002615#t004fn001" target="_blank">*</a>}.</p

Study recruitment profile.

<p>Study recruitment profile.</p