Background:　Malnutrition　is　linked　to　a　higher　risk　of　unfavorable　outcomes　in　various　illnesses.　The　present　investigation　explored　the　correlation　between　inadequate　nutritional　condition　and　outcomes　in　older　individuals　diagnosed　with　hyperlipidemia.　Methods:　The　geriatric　nutritional　risk　index　(GNRI)　was　used　to　evaluate　the　nutritional　status.　All　patients　were　divided　into　two　groups　according　to　GNRI.　A　Kaplan-Meier　analysis　was　used　to　assess　the　survival　rates　of　different　groups　at　risk　of　malnutrition.　In　addition,　GNRI　was　used　in　COX　proportional　risk　regression　models　to　evaluate　its　predictive　effect　on　both　overall　mortality　and　cardiovascular　mortality　among　patients　with　hyperlipidemia.　Furthermore,　the　study　employed　restricted　cubic　splines　(RCS)　to　examine　the　nonlinear　correlation　between　GNRI　and　mortality.　Results:　The　study　included　4,532　elderly　individuals　diagnosed　with　hyperlipidemia.　During　a　median　follow-up　duration　of　139　months,　a　total　of　1498　deaths　from　all　causes　and　410　deaths　from　cardiovascular　causes　occurred.　The　Kaplan-Meier　analysis　demonstrated　significantly　poorer　survival　among　individuals　at　risk　of　malnutrition,　as　indicated　by　the　GNRI.　In　the　malnutrition　risk　group,　the　modified　COX　proportional　hazards　model　revealed　that　a　decrease　in　GNRI　was　associated　with　a　higher　risk　of　all-cause　mortality　(HR=1.686,　95%　CI　1.212-2.347)　and　cardiovascular　mortality　(HR=3.041,　95%　CI　1.797-5.147).　Furthermore,　the　restricted　cubic　splines　revealed　a　non-linear　association　between　GNRI　and　both　all-cause　mortality　and　cardiovascular　mortality　(p-value　for　non-linearity　=　0.0039,　p-value　for　non-linearity=0.0386).　Conclusions:　In　older　patients　with　hyperlipidemia,　lower　levels　of　GNRI　are　associated　with　mortality.　The　GNRI　could　potentially　be　used　to　predict　all-cause　mortality　and　cardiovascular　mortality.　©　The　Author(s)　2024.